Apache APISIX Alternatives 2026: Top 10 APISIX Alternatives

Updated September 2026

If you’re researching Apache APISIX alternatives, this guide lays out the landscape like a builder would. We define where API gateways shine, where multi-provider AI routing adds value, and how to pair “gateway governance” with ShareAI for one API across many providers, transparent marketplace data (price, latency, uptime, availability, provider type), and instant failover.

Quick links: Browse Models · Open Playground · Read the Docs · Create API Key · See Releases

How to read this

• Gateways (APISIX, Kong, Tyk, NGINX, etc.) focus on egress governance: centralized credentials, policies, rate limits, plugins, observability.
• Multi-provider AI routing (ShareAI) focuses on pre-route transparency (price, latency, uptime, availability) and resilient routing across many providers—complementary to a gateway.
• Many teams pair a gateway + ShareAI: gateway for org policy; ShareAI for marketplace-guided routing and failover.

What Apache APISIX is (and isn’t)

Apache APISIX is an open-source, plugin-driven API gateway used to manage and secure API traffic. It’s great at edge policy (keys, rate limiting, auth, transformations), traffic control, and observability patterns typical to gateways. It’s not a transparent multi-provider AI marketplace, and it does not aim to show you live provider stats (price, latency, uptime, availability) before you route LLM calls. That’s where a marketplace-style API like ShareAI complements a gateway.

How we evaluated the best Apache APISIX alternatives

Model breadth & neutrality — proprietary + open; easy switching; avoid rewrites.
Latency & resilience — routing policies, timeouts, retries, instant failover.
Governance & security — key handling, scopes, regional routing.
Observability — logs/traces + cost/latency dashboards.
Pricing transparency & TCO — compare real costs before routing.
Developer experience — docs, SDKs, quickstarts; time-to-first-token.
Community & economics — whether your spend grows supply (incentives for providers).

Top 10 Apache APISIX alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models/providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: providers (community or company) keep models online and earn.

Why it’s #1 here. If you want provider-agnostic aggregation with pre-route transparency and resilience, ShareAI is the most direct fit—and it pairs cleanly with your existing gateway: keep APISIX (or another gateway) for org-wide policies; add ShareAI for marketplace-guided routing.

Quick links: Browse Models · Open Playground · Create API Key · API Reference · User Guide

One API → many providers; switch without rewrites.
Marketplace transparency: price, latency, uptime, availability, provider type—visible before routing.
Resilience by default: routing policies + instant failover.
Fair economics: people-powered supply; providers earn for keeping models online.
Governance: keep your gateway; enforce policies; route via ShareAI per model.

#2 — Kong Gateway / Kong AI Gateway

Enterprise-grade gateway focused on policies/plugins, traffic control, and runtime analytics. Pairs well with ShareAI for multi-provider routing.

#3 — Tyk

Developer-friendly gateway with granular control and strong policy features. Pair with ShareAI to choose providers by live price/latency/uptime.

#4 — NGINX

High-performance proxy/gateway; excellent for custom routing and enforcement. Add ShareAI for model marketplace + failover without DIYing multi-provider logic.

#5 — Apigee

Broad API management and monetization. Keep Apigee’s governance; route AI calls via ShareAI when you want provider-agnostic access and transparent costs.

#6 — Gravitee

Open-source gateway with policy packs and portal. Bring ShareAI to add pre-route visibility and resilient provider choice.

#7 — Traefik

Modern edge gateway with a thin AI layer available in its ecosystem. Pair with ShareAI for marketplace-driven routing + health-aware failover.

#8 — KrakenD

Stateless API gateway aggregation layer; great for shaping responses. Add ShareAI for the AI marketplace and cross-provider resiliency.

#9 — WSO2 API Manager

Feature-rich platform (policies, analytics). Use ShareAI for multi-provider AI and quick experimentation across models.

#10 — Amazon API Gateway (or MuleSoft)

Managed control planes for enterprises. Keep governance; route AI across many providers through ShareAI for flexibility and cost/latency trade-offs.

Related: AI aggregation/orchestration alternatives APISIX users ask about

OpenRouter — unified API over many models; quick for experimentation.
Portkey — AI gateway emphasizing observability, guardrails, governance.
Eden AI — multi-service aggregator (LLM, vision, TTS, translation).
LiteLLM — lightweight SDK/self-hosted proxy speaking OpenAI-compatible interfaces.
Unify — quality-driven routing/evaluation to select better models per prompt.
Orq — orchestration and collaboration flows for moving experiments to production.

If your goal is pre-route transparency with instant failover and provider-agnostic access, ShareAI centralizes those features in one API; you can still keep APISIX for edge policy.

Quick comparison (gateway vs marketplace)

Platform	Who it serves	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply
Apache APISIX	Teams wanting egress governance	Strong policy & plugin model	Gateway-level metrics/logs	Conditional routing via plugins	No — gateway (not a marketplace)	n/a
Kong / Tyk / NGINX / Apigee / Gravitee / KrakenD / WSO2	Enterprises & platform teams	Strong edge policies	Analytics/traces	Retries/fallback via rules	No — infra tools	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides reality. Your effective cost shifts with retries/fallbacks, latency (affects user behavior), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ(Base_tokens × Unit_price × (1 + Retry_rate)) + Observability_storage + Evaluation_tokens + Egress

Prototype (~10k tokens/day): optimize for time-to-first-token (use the Playground and quickstarts).
Mid-scale (~2M tokens/day): marketplace-guided routing/failover can trim 10–20% while improving UX (choose providers by live price/latency/uptime).
Spiky workloads: expect higher effective token costs from retries during failover; budget for it.

How to try the ShareAI route (copy-paste quickstarts)

These examples use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key — create one at Create API Key. See the API Reference.

#!/usr/bin/env bash
# cURL — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (Node 18+ / Edge runtimes) — Chat Completions
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

# Python (requests) — Chat Completions
import os
import json
import requests

api_key = os.getenv("SHAREAI_API_KEY")
url = "https://api.shareai.now/v1/chat/completions"

payload = {
  "model": "llama-3.1-70b",
  "messages": [
    { "role": "user", "content": "Give me a short haiku about reliable routing." }
  ],
  "temperature": 0.4,
  "max_tokens": 128
}

resp = requests.post(
  url,
  headers={
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
  },
  json=payload,
  timeout=60
)

print(resp.status_code)
print(json.dumps(resp.json(), indent=2))

Migration patterns: moving to (or pairing with) ShareAI

From APISIX (keep your gateway)

Keep APISIX for org policy (auth, quotas, rate limits).
Route AI calls via ShareAI per model.
Start with 10% shadow traffic, validate latency/error budgets, then ramp to 25% → 50% → 100%.
Use marketplace stats to swap providers without rewrites.
Keys & scopes stay centralized in your gateway; rotate and monitor in Console (User Guide).

From OpenRouter

Map model names, verify prompt parity, shadow traffic, then ramp as above.

From LiteLLM

Keep the self-hosted proxy where you’re comfortable operating it; move production routes to ShareAI for managed routing + failover.

From Unify / Portkey / Orq / Kong

Define feature-parity expectations (analytics, guardrails, orchestration). Many teams run a hybrid: keep specialized features where strongest; use ShareAI for transparent provider choice and resilience.

Security, privacy & compliance: a vendor-agnostic checklist

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored and for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

For providers: earn by keeping models online

Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens / AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure.

FAQ — Apache APISIX vs. other competitors

Apache APISIX vs ShareAI — which for multi-provider AI routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. APISIX is a gateway (centralized policy/observability). Many teams use both.

Apache APISIX vs Kong — gateway vs gateway?

Both are gateways with strong policy/observability. If you also want pre-route provider transparency and instant failover, layer ShareAI on whichever gateway you standardize.

Apache APISIX vs Tyk — developer ergonomics or marketplace transparency?

Tyk offers developer-friendly policy control. ShareAI adds live provider stats and resilient cross-provider routing—complementary to either gateway.

Apache APISIX vs NGINX — DIY control or turnkey marketplace routing?

NGINX is excellent for custom traffic shaping. ShareAI saves you from DIYing multi-provider routing, failover, and price/latency comparisons.

Apache APISIX vs Apigee — API management vs provider-agnostic AI?

Apigee is broad API management. ShareAI gives one API over many providers and a transparent marketplace to control effective cost and UX.

Apache APISIX vs Gravitee — open source policy vs live marketplace data?

Gravitee covers gateway governance; ShareAI covers price/latency/uptime transparency and instant failover across providers.

Apache APISIX vs KrakenD — aggregation vs aggregation+marketplace?

KrakenD aggregates upstreams at the gateway layer; ShareAI adds marketplace-level visibility and resilience across AI providers.

Apache APISIX vs WSO2 — platform depth vs multi-provider agility?

WSO2 is feature-rich; ShareAI optimizes for fast model/provider switching without rewrites.

Apache APISIX vs Amazon API Gateway — managed control vs provider choice?

Amazon API Gateway is managed governance. ShareAI gives provider-agnostic choice with pre-route cost/latency data.

Apache APISIX vs MuleSoft — enterprise integrations vs marketplace routing?

MuleSoft is enterprise integration + API management. ShareAI complements it with cross-provider AI routing and transparent pricing.

Apache APISIX vs OpenResty — Lua power vs no-code marketplace?

OpenResty is powerful for custom Lua; ShareAI avoids bespoke code for provider selection and failover.

Apache APISIX vs Portkey — who’s stronger on guardrails?

Portkey emphasizes governance/observability. If your main need is transparent provider choice and instant failover, choose ShareAI (and keep your gateway for policy). This comparison also helps teams searching for Portkey alternatives discover the marketplace approach.

Apache APISIX vs OpenRouter — fast multi-model access or resilient routing with live stats?

OpenRouter gives quick access to many models. ShareAI adds live price/latency/uptime/availability and policy-driven routing across providers.

Apache APISIX vs Eden AI — many AI services or marketplace transparency?

Eden AI aggregates several AI services; ShareAI focuses on transparent multi-provider routing and instant failover.

Apache APISIX vs LiteLLM — self-hosted proxy or managed marketplace?

LiteLLM is DIY; ShareAI is managed routing + marketplace. Many teams keep LiteLLM for dev and use ShareAI for production.

Apache APISIX vs Unify — best-model selection vs policy enforcement?

Unify optimizes for evaluation-driven selection; ShareAI optimizes for marketplace visibility + resilience. Keep your gateway for enforcement.

Apache APISIX vs Orq — orchestration vs egress?

Orq focuses on orchestration flows; ShareAI focuses on provider-agnostic routing and live marketplace stats; APISIX covers egress policy.

Try ShareAI next

Open Playground → test a model now.
Create API Key → build in minutes.
Read the Docs → get oriented.
Browse Models → compare live price/latency.
See Releases → what’s new.

Higress Alternatives 2026: Top 10 Picks

Updated September 2026

If you’re evaluating Higress alternatives, this guide stacks the options like a builder would. First, we clarify what Higress is—an AI-native, cloud-native API gateway built on Istio and Envoy with Wasm plugin support and a UI console—then we compare the 10 best alternatives. We place ShareAI first for teams that want one API across many providers, a transparent marketplace (price, latency, uptime, availability, provider type) before routing, instant failover, and people-powered economics (70% of spend flows to providers).

What Higress is (and isn’t)

Higress and positions itself as an “AI Gateway | AI Native API Gateway.” It’s based on Istio and Envoy, fusing traffic, microservice, and security gateway layers into a single control plane and supporting Wasm plugins (Go/Rust/JS). It also offers a console and deployment via Docker/Helm. In short: a governance-first gateway for AI and microservices egress, not a transparent model marketplace.

Useful context: Higress emphasizes a “triple-gateway integration” (traffic + microservices + security) to reduce operational cost. It’s open source and community-backed.

Aggregators vs Gateways vs Agent Platforms

LLM aggregators: one API across many models/providers with pre-route transparency (price, latency, uptime, availability, provider type) and smart routing/failover.
AI gateways: policy/governance at the edge (keys, rate limits, guardrails) + observability; you bring the providers. Higress sits here.
Agent/chatbot platforms: packaged UX (sessions/memory/tools/channels), geared to shipping assistants rather than provider-agnostic aggregation.

How we evaluated the best Higress alternatives

Model breadth & neutrality: proprietary + open; easy switching; no rewrites.
Latency & resilience: routing policies, timeouts, retries, instant failover.
Governance & security: key handling, scopes, regional routing.
Observability: logs/traces and cost/latency dashboards.
Pricing transparency & TCO: compare real costs before you route.
Developer experience: docs, SDKs, quickstarts; time-to-first-token.

Top 10 Higress alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: 70% of every dollar flows to providers (community or company) who keep models online.

Why it’s #1 here. If you want provider-agnostic aggregation with pre-route transparency and resilience, ShareAI is the most direct fit. Keep a gateway if you need org-wide policies; add ShareAI for marketplace-guided routing.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide · Releases · Sign in / Sign up

For providers: earn by keeping models online. Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set inference prices and gain preferential exposure. Provider Guide

#2 — Kong AI Gateway

What it is. Enterprise AI/LLM gateway—governance, policies/plugins, analytics, observability for AI traffic at the edge. It’s a control plane, not a marketplace.

#3 — Portkey

What it is. AI gateway emphasizing observability, guardrails, and governance—popular with regulated teams.

#4 — OpenRouter

What it is. Unified API over many models; great for fast experimentation across a wide catalog.

#5 — Eden AI

What it is. Aggregates LLMs + broader AI (image, translation, TTS), with fallbacks/caching and batching.

#6 — LiteLLM

What it is. Lightweight Python SDK + self-hostable proxy that speaks an OpenAI-compatible interface to many providers.

#7 — Unify

What it is. Quality-oriented routing and evaluation to pick better models per prompt.

#8 — Orq AI

What it is. Orchestration/collaboration platform that helps teams move from experiments to production with low-code flows.

#9 — Apigee (with LLMs behind it)

What it is. Mature API management/gateway you can place in front of LLM providers to apply policies, keys, quotas.

#10 — NGINX

What it is. Use NGINX or APISIX to build custom routing, token enforcement, and caching for LLM backends if you prefer DIY control.

Higress vs ShareAI (which to choose?)

If you need one API over many providers with transparent pricing/latency/uptime/availability and instant failover, choose ShareAI. If your top requirement is egress governance—centralized credentials/policy enforcement and observability—Higress fits that lane (Istio/Envoy base, Wasm extensibility). Many teams pair them: gateway for org policy + ShareAI for marketplace routing.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
Higress	Teams wanting egress governance	BYO providers	Centralized credentials/policies; Wasm plugins	Istio/Envoy-friendly metrics	Conditional routing via filters/plugins	No (infra tool, not a marketplace)	n/a
Kong AI Gateway	Enterprises needing gateway-level policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No (infra)	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
OpenRouter	Devs wanting one key	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Eden AI	Teams needing LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Orq	Orchestration-first teams	Wide support	Platform controls	Platform analytics	Orchestration flows	n/a	n/a
Apigee / NGINX / APISIX	Enterprises / DIY	BYO	Policies	Add-ons / custom	Custom	n/a	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the real picture. TCO shifts with retries/fallbacks, latency (which affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate)) + Observability_storage + Evaluation_tokens + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token (Playground, quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guide: moving to ShareAI

From Higress

Keep gateway-level policies where they shine, add ShareAI for marketplace routing + instant failover. Pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs managed routing benefits.

From Unify / Portkey / Orq / Kong

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice and failover.

Developer quickstart (copy-paste)

Use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key — get one at Create API Key. See the API Reference for details. Then try the Playground.

#!/usr/bin/env bash
# cURL (bash) — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"
curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge runtimes
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"
async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });
  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }
  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}
main().catch(console.error);

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored, for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently (OTel).
Incident response: escalation paths and provider SLAs.

FAQ — Higress vs other competitors (and when ShareAI fits)

Higress vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. Higress is an egress governance tool (Istio/Envoy, Wasm, centralized policy). Many teams use both.

Higress vs Kong — two AI gateways?

Both are gateways (policies, plugins, analytics), not marketplaces. Kong leans enterprise plugins; Higress leans Istio/Envoy + Wasm. Pair either with ShareAI for transparent multi-provider routing.

Higress vs Traefik — thin AI layer or Istio/Envoy stack?

Traefik-style gateways bring middlewares and OTel-friendly observability; Higress rides on Istio/Envoy with Wasm extensibility. For one API over many providers with pre-route transparency, add ShareAI.

Higress vs Apache APISIX — Envoy vs NGINX/Lua

Higress is Envoy/Istio-based; APISIX is NGINX/Lua-based. If you want marketplace visibility and failover across many model providers, use ShareAI alongside.

Higress vs NGINX — DIY vs turnkey AI gateway

NGINX gives powerful DIY control; Higress packages a modern, Istio-friendly gateway. Add ShareAI when you need provider-agnostic routing and live pricing/latency before you choose.

Higress vs Apigee — AI egress vs API management

Apigee is broad API management; Higress is an AI-native gateway. ShareAI complements either with multi-provider access and marketplace transparency.

Higress vs Portkey — who’s stronger on guardrails?

Both emphasize governance/observability; depth and ergonomics differ. If your main need is transparent provider choice and instant failover, add ShareAI.

Higress vs OpenRouter — quick multi-model access or gateway controls?

OpenRouter makes multi-model access quick; Higress centralizes gateway policy. If you also want pre-route transparency, ShareAI combines multi-provider access with a marketplace view and resilient routing.

Higress vs LiteLLM — self-host proxy or managed gateway?

LiteLLM is a DIY proxy; Higress is a managed/operated gateway. Prefer ShareAI if you don’t want to run infra and need marketplace-driven routing.

Higress vs Unify — best-model selection vs policy enforcement?

Unify focuses on evaluation-driven model selection; Higress on policy/observability. For one API over many providers with live marketplace stats, use ShareAI.

Higress vs Orq — orchestration vs egress?

Orq helps orchestrate workflows; Higress governs egress traffic. ShareAI complements either with transparent provider choice.

Higress vs Eden AI — many AI services or egress control?

Eden AI aggregates several AI services (LLM, image, TTS). Higress centralizes policy/credentials. For transparent pricing/latency across many providers and instant failover, choose ShareAI.

OpenRouter vs Apache APISIX — aggregator vs NGINX/Lua gateway

OpenRouter: unified API over many models. APISIX: NGINX/Lua gateway you operate. If you need pre-route transparency and failover across providers, ShareAI is purpose-built.

Kong vs Traefik — enterprise plugins vs thin AI layer

Both are gateways; depth differs. Teams often keep a gateway and add ShareAI for marketplace-guided routing.

Portkey vs Kong — guardrails/observability vs plugin ecosystem

Different strengths; ShareAI introduces provider-agnostic routing plus marketplace metrics.

LiteLLM vs OpenRouter — self-host proxy vs aggregator

LiteLLM: you host; OpenRouter: managed aggregator. ShareAI adds pre-route transparency + failover across many providers.

NGINX vs Apigee — DIY gateway vs API management

NGINX: custom policies/caching; Apigee: full API management. If you also want transparent, multi-provider LLM routing, add ShareAI.

Unify vs Portkey — evaluation vs governance

Unify centers on model quality selection; Portkey on governance/observability. ShareAI complements with live price/latency/uptime and instant failover.

Orq vs Kong — orchestration vs edge policy

Orq orchestrates flows; Kong enforces edge policy. ShareAI handles cross-provider routing with marketplace visibility.

Eden AI vs OpenRouter — multi-service vs LLM-centric

Eden AI spans multiple modalities; OpenRouter focuses on LLMs. ShareAI gives transparent pre-route data and failover across providers.

Try ShareAI next

Open Playground — run a live request to any model in minutes
Create your API key
Browse Models
Read the Docs
See Releases
Sign in / Sign up

APIPark Alternatives 2026: Top 10 APIPark Alternatives

Updated September 2026

If you’re searching for APIPark alternatives, this guide breaks down the landscape from a builder’s perspective. We’ll clarify where APIPark (AI Gateway) fits—an egress/governance layer for AI traffic—then compare the 10 best alternatives. We place ShareAI first for teams that want one API across many providers, a transparent marketplace (price, latency, uptime, availability, provider type before routing), instant failover, and people-powered economics (70% of spend goes to providers who keep models online).

Quick links

What APIPark is (and isn’t)

What it is. APIPark positions as an AI gateway/control layer: a place to centralize keys, apply policies/guardrails, and observe AI traffic as an API surface. It serves teams that want to govern AI egress across providers they already use.

What it isn’t. APIPark is not a transparent model marketplace that shows price/latency/uptime/availability across many providers before you route. If your priority is provider-agnostic choice and resilient multi-provider routing, you’ll likely pair a gateway with a marketplace API—or replace the gateway if governance needs are minimal.

Aggregators vs Gateways vs Agent platforms

LLM Aggregators (marketplaces): One API across many models/providers with pre-route transparency and smart routing/failover. Example: ShareAI (multi-provider, marketplace view).
AI Gateways: Policy/governance at the edge (keys, rate limits, guardrails) with observability. You bring your providers. Example: APIPark, Kong AI Gateway, Traefik, Apache APISIX (with AI backends).
Agent/chatbot platforms: Packaged UX, memory/tools, and channels—geared to end-user assistants versus provider-agnostic aggregation. Example: Orq (orchestration-first).

How we evaluated the best APIPark alternatives

Model breadth & neutrality: proprietary + open; easy switching; no rewrites.
Latency & resilience: routing policies, timeouts, retries, instant failover.
Governance & security: key handling, scopes, regional routing, guardrails.
Observability: logs/traces + cost/latency dashboards.
Pricing transparency & TCO: compare real costs before you route.
Developer experience: docs, SDKs, quickstarts; time-to-first-token.
Community & economics: whether your spend grows supply (incentives for GPU owners/providers).

Top 10 APIPark Alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: 70% of every dollar flows to providers (community or company) who keep models online.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).
Quick links — Browse Models · Open Playground · Create API Key · API Reference · Docs · Releases

For providers: earn by keeping models online

Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure.

#2 — OpenRouter

What it is. Unified API over many models; great for fast experimentation across a wide catalog.

Where it shines: quick multi-model access for devs; easy swaps.

Trade-offs vs ShareAI: marketplace transparency and routing/failover depth vary; ShareAI adds pre-route price/latency/uptime and instant failover.

#3 — Kong AI Gateway

What it is. Enterprise AI/LLM gateway—governance, policies/plugins, analytics, observability for AI traffic at the edge.

Where it shines: organizations needing strong gateway-level control.

Trade-offs vs ShareAI: Kong is a control plane; it’s not a marketplace.

#4 — Portkey

What it is. AI gateway emphasizing observability, guardrails, and governance—popular in regulated industries.

Where it shines: compliance/guardrails, deep traces.

Trade-offs vs ShareAI: governance-first vs provider-agnostic routing with transparency.

#5 — Eden AI

What it is. Aggregates LLMs plus broader AI (image, translation, TTS) with fallbacks, caching, and batching.

Where it shines: multi-capability workloads beyond LLMs.

Trade-offs vs ShareAI: broad catalog vs marketplace stats and failover depth.

#6 — LiteLLM

What it is. Lightweight Python SDK + self-hostable proxy that speaks an OpenAI-compatible interface to many providers.

Where it shines: DIY control, self-hosting.

Trade-offs vs ShareAI: you operate/scale the proxy; ShareAI is managed with instant failover and marketplace transparency.

#7 — Unify

What it is. Quality-oriented routing and evaluation to pick better models per prompt.

Where it shines: evaluation-driven selection.

Trade-offs vs ShareAI: evaluation focus vs marketplace + provider choice and resilience.

#8 — Orq AI

What it is. Orchestration/collaboration platform to move from experiments to production with low-code flows.

Where it shines: workflow orchestration.

Trade-offs vs ShareAI: orchestration vs multi-provider marketplace routing.

#9 — Apigee (with LLMs behind it)

What it is. Mature API management/gateway you can place in front of LLM providers to apply policies, keys, quotas.

Where it shines: enterprise API management breadth.

Trade-offs vs ShareAI: governance breadth vs model/provider transparency.

#10 — Apache APISIX

What it is. Open-source gateway with plugins, rate limiting, routing, and observability that can front AI backends.

Where it shines: open-source flexibility and plugin ecosystem.

Trade-offs vs ShareAI: DIY gateway engineering vs turnkey marketplace + failover.

APIPark vs ShareAI: which to choose?

Choose ShareAI if you need one API across many providers with transparent pricing/latency/uptime/availability and instant failover.
Choose APIPark if your top requirement is egress governance—centralized credentials, policy enforcement, and observability at the edge.
Many teams run both: gateway for org policy + ShareAI for marketplace-guided routing.

Quick comparison (at a glance)

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
APIPark	Teams wanting egress governance	BYO providers	Centralized credentials/policies	Metrics/tracing	Conditional routing via policies	No (infra tool, not a marketplace)	n/a
Kong AI Gateway	Enterprises needing gateway-level policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No (infra)	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
OpenRouter	Devs wanting multi-model access	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Eden AI	Teams needing LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Orq	Orchestration-first teams	Wide support	Platform controls	Platform analytics	Orchestration flows	n/a	n/a
Apigee	Enterprises / API mgmt	BYO	Policies	Add-ons	Custom	n/a	n/a
Apache APISIX	Open-source/DIY	BYO	Policies/plugins	Prometheus/Grafana	Custom	n/a	n/a

Tip: If you keep a gateway for org policy, you can still route per request via ShareAI using marketplace data (price, latency, uptime, availability, provider type) to choose the best provider and failover target.

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the real picture. TCO shifts with retries/fallbacks, latency (which affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize time-to-first-token (Playground, quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guides

From APIPark → ShareAI (complement or replace)

Keep gateway-level policies where they shine; add ShareAI for marketplace routing + instant failover. Common pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs managed routing benefits.

From Unify / Portkey / Orq / Kong / APISIX / Apigee

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice and failover.

Developer quickstart (copy-paste)

The following use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key—get one at Create API Key.

#!/usr/bin/env bash
# cURL (bash) — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge runtimes
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored and for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

FAQ — APIPark vs other competitors (and where ShareAI fits)

APIPark vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. APIPark is about egress governance (centralized credentials/policy; observability). Many teams use both.

APIPark vs OpenRouter — quick multi-model access or governance?

OpenRouter makes multi-model access quick; APIPark centralizes policy and observability. If you also want pre-route transparency and instant failover, ShareAI combines multi-provider access with a marketplace view and resilient routing.

APIPark vs Kong AI Gateway — gateway vs marketplace?

Both APIPark and Kong are gateways (policies, plugins, analytics), not marketplaces. Pair a gateway with ShareAI for transparent multi-provider routing and failover.

APIPark vs Portkey — who’s stronger on guardrails?

Both emphasize governance/observability; depth and ergonomics differ. If your main need is transparent provider choice and failover, add ShareAI alongside either gateway.

APIPark vs Apache APISIX — open-source DIY or managed controls?

APISIX gives plugin-rich, open-source gateway control; APIPark provides managed governance. To avoid DIY complexity while also getting transparent provider selection, layer in ShareAI.

APIPark vs Traefik — two gateways, different ecosystems

Both govern AI egress with policies and observability. If you want one API over many providers with live marketplace stats, ShareAI complements either.

APIPark vs NGINX — DIY filters vs turnkey AI layer

NGINX offers DIY filters/policies; APIPark offers a packaged layer. To skip custom scripting and still get transparent provider choice, use ShareAI.

APIPark vs Apigee — broad API management vs AI-specific egress

Apigee is broad API management; APIPark is AI-focused egress governance. For provider-agnostic access with marketplace transparency, choose ShareAI.

APIPark vs LiteLLM — self-host proxy or managed governance?

LiteLLM is a DIY proxy you operate; APIPark is managed governance/observability. If you’d rather not run a proxy and want marketplace-driven routing, choose ShareAI.

APIPark vs Unify — best-model evaluation vs policy enforcement?

Unify focuses on evaluation-driven model selection; APIPark on policy/observability. For one API over many providers with live marketplace stats, use ShareAI.

APIPark vs Eden AI — many AI services or egress control?

Eden AI aggregates several AI services (LLM, image, TTS). APIPark centralizes policy/credentials with specialized AI middlewares. For transparent pricing/latency across providers and instant failover, choose ShareAI.

OpenRouter vs Apache APISIX — aggregator vs open-source gateway

OpenRouter simplifies model access; APISIX provides gateway control. Add ShareAI if you want pre-route transparency and failover across providers without operating your own gateway.

Try ShareAI next

Open Playground — run a live request to any model in minutes
Create your API key
Browse Models
Read the Docs
See Releases
Sign in / Sign up

Tyk Alternatives 2026: Top 10 Alternatives

Updated September 2026

If you’re evaluating Tyk alternatives, this guide maps the landscape like a builder would. We’ll clarify what Tyk is—an API gateway and management plane focused on policy, security, and observability—then compare the 10 best alternatives (plus a deep FAQ). We place ShareAI first for teams that want one API across many AI model providers, transparent marketplace signals (price, latency, uptime, availability, provider type) before routing, instant failover, and people-powered economics (70% of spend goes to providers).

Quick links:

What Tyk is (and isn’t)

Tyk is an API gateway: it centralizes authentication/authorization, rate-limits/quotas, request/response transformations, policies, and analytics—so you can govern and observe API traffic at the edge. That’s valuable when you need centralized egress control and observability across many services.

Tyk is not a transparent model marketplace. If your team needs pre-route visibility into AI providers and models (unit price, observed latency, uptime, availability, provider type) and the ability to fail over instantly between multiple providers—those are aggregator strengths, not traditional gateway features.

Aggregators vs Gateways vs Agent platforms

LLM aggregators (e.g., ShareAI, OpenRouter, Eden AI): one API across many models and providers, with pre-route transparency (price, latency, uptime, availability, provider type) and smart routing/failover.

API gateways (e.g., Tyk, Kong, Apigee, NGINX, Traefik, Gravitee, APISIX, KrakenD, AWS API Gateway, Azure API Management): centralized policies, keys, quotas, guardrails, and observability for your traffic. You bring your providers and models.

Agent/chatbot platforms (e.g., Unify, Orq): packaged UX for assistants, flows, tools, and evaluation—geared to end-user experiences rather than provider-agnostic aggregation.

Many teams use both: keep a gateway for org-wide policy and audit; add ShareAI for marketplace-guided routing across providers with instant failover.

How we evaluated the best Tyk alternatives

Model breadth & neutrality (for AI use cases): proprietary + open; easy switching; no rewrites.
Latency & resilience: routing policies, timeouts, retries, instant failover.
Governance & security: key handling, scopes, regional routing.
Observability: logs/traces and cost/latency dashboards.
Pricing transparency & TCO: compare real costs before you route.
Developer experience: docs, SDKs, quickstarts; time-to-first-token.
Community & economics: whether your spend grows supply (incentives for GPU owners).

Top 10 Tyk alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: 70% of every dollar flows to providers (community or company) who keep models online.

Why it’s #1 here. If your goal is provider-agnostic aggregation with pre-route transparency and resilience, ShareAI is the most direct fit. Keep your gateway if you need org-wide policies; add ShareAI for marketplace-guided routing.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · Docs · Releases

For providers: earn by keeping models online.
Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose incentives: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure. Provider Guide

#2 — Kong Gateway / Kong AI Gateway

What it is. Enterprise-grade API gateway with strong policies/plugins, security, and analytics, plus AI-focused extensions for LLM traffic control. It’s a control plane, not a marketplace.

#3 — Apigee (Google Cloud)

What it is. Broad API management for enterprises—design, publish, secure, and monitor APIs at scale. Combines governance with analytics; you can front LLM providers behind Apigee, but you won’t get marketplace transparency.

#4 — NGINX

What it is. A performant reverse proxy you can compose into a DIY gateway (routing, token enforcement, caching). Powerful, but you’ll glue together policies and analytics yourself.

#5 — Traefik

What it is. A developer-friendly edge router/gateway with valuable middlewares; you can add a thin AI layer to govern LLM egress and integrate with OpenTelemetry.

#6 — Gravitee

What it is. Policy-first API management with a focus on security and developer portal experiences. Good for governance; pair with an AI aggregator if you need pre-route provider transparency.

#7 — Apache APISIX

What it is. High-performance, cloud-native gateway with a rich plugin ecosystem. Great for Lua/DIY teams that want control. You’ll add your own telemetry and routing logic.

#8 — KrakenD

What it is. High-throughput API composer/gateway supporting transformations and aggregation. A fit for teams building a unified edge over many services.

#9 — AWS API Gateway

What it is. Managed gateway inside AWS: policies, auth, quotas, and close integration with the AWS stack. No marketplace transparency; pair with ShareAI when you need multi-provider AI routing.

#10 — Azure API Management

What it is. Managed API gateway for Azure workloads; strong developer portal and policies. Like other gateways, it’s governance-first—not a provider marketplace.

Tyk vs ShareAI

If you need one API over many AI providers with transparent pricing/latency/uptime/availability and instant failover, choose ShareAI. If your top requirement is API governance—centralized credentials, policy enforcement, and observability—Tyk fits that lane. Many teams pair them: gateway for org policy + ShareAI for marketplace routing.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
Tyk	Teams wanting gateway-level policy & governance	Bring-your-own providers	Strong policies and key management	Analytics & monitoring	Conditional routing via policies/middlewares	No (infra tool, not a marketplace)	n/a
Kong	Enterprises needing gateway policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No (infra)	n/a
Apigee	Enterprises needing API mgmt	BYO	Granular policies & quotas	Deep analytics	Add-ons/retries	No (infra)	n/a
NGINX	DIY teams	BYO	Custom filters	Add-ons/custom	Custom	No (DIY)	n/a
Traefik	Dev-friendly ops	BYO	Centralized credentials/policy	OTel-friendly	Conditional routing	No (infra)	n/a
Gravitee	Security-minded orgs	BYO	Policy-first	Portal + analytics	Plugins/retries	No	n/a
APISIX	Performance-oriented	BYO	Plugin-driven	Community tools	Lua/custom	No	n/a
KrakenD	API composition fans	BYO	Config-driven	Plugins	Caching/retries	No	n/a
AWS / Azure	Cloud-centric orgs	BYO	Managed policies	Cloud monitors	Retries/fallbacks	No	n/a

TL;DR — Gateways govern; ShareAI routes intelligently across providers with pre-route transparency and instant failover.

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the real picture. TCO shifts with retries/fallbacks, latency (which affects user behavior), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token (Playground + quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guide: moving to (or pairing with) ShareAI

From Tyk

Keep gateway-level policies where they shine; add ShareAI for marketplace routing + instant failover. Pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies.

From Kong / Apigee / NGINX / Traefik / Gravitee / APISIX / KrakenD / AWS / Azure

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice and failover.

From OpenRouter / Eden AI

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace stats make provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs. managed routing benefits.

From Unify / Orq / Portkey

Clarify scope: evaluation/orchestration/guardrails vs routing/marketplace. You can keep them alongside ShareAI; route via ShareAI when you need provider diversity and fast failover.

Developer quickstart (copy-paste)

The following examples use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key — get one at Create API Key.

#!/usr/bin/env bash
# cURL — Chat Completions via ShareAI
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge runtimes
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Next steps:
Open Playground · Create API Key · API Reference

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored, for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

FAQ — Tyk vs other competitors

Tyk vs ShareAI — which for multi-provider AI routing?
ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. Tyk is an egress governance tool (centralized credentials/policy; analytics). Many teams use both.

Tyk vs Kong — two gateways
Both are gateways (policies, plugins, analytics), not marketplaces. If you also want transparent multi-provider routing and instant failover, add ShareAI alongside your gateway.

Tyk vs Apigee — API management vs AI-specific routing
Apigee is broad API management; Tyk is a leaner gateway stack. For provider-agnostic access with live marketplace stats, use ShareAI in addition.

Tyk vs NGINX — DIY vs turnkey
NGINX enables DIY filters/policies; Tyk offers packaged gateway features. To avoid custom Lua and still get transparent provider selection, layer in ShareAI.

Tyk vs Traefik — edge router vs gateway
Traefik is a developer-friendly edge router; Tyk is a gateway platform. Neither is a marketplace. Use ShareAI for one-API, multi-provider AI with instant failover.

Tyk vs Gravitee — policy-first vs policy-first
Both emphasize governance. Your choice may hinge on plugins, UI, and portal. For pre-route provider transparency, add ShareAI.

Tyk vs Apache APISIX — plugin-driven vs productized
APISIX is high-performance and plugin-centric; Tyk is more productized. Neither gives a provider marketplace—pair either with ShareAI.

Tyk vs KrakenD — API composition vs management
KrakenD excels at aggregation and transformation; Tyk on policies and analytics. ShareAI complements either with marketplace routing.

Tyk vs AWS API Gateway — cloud-native choice
If you’re all-in on AWS, AWS API Gateway is convenient. For multi-provider AI with transparent costs/latency and failover, add ShareAI.

Tyk vs Azure API Management — Azure-native choice
APIM integrates tightly with Azure. As above, use ShareAI for model/provider diversity and fast failover.

Tyk vs OpenRouter — quick multi-model access or gateway controls?
OpenRouter makes multi-model access quick; Tyk centralizes policy. If you also want pre-route transparency and instant failover, ShareAI combines multi-provider access with a marketplace view and resilient routing.

Tyk vs Eden AI — many AI services or egress control?
Eden AI aggregates several AI services (LLM, image, TTS). Tyk centralizes policy/credentials. For transparent pricing/latency across many providers plus instant failover, choose ShareAI.

Tyk vs Portkey — guardrails vs governance
Both emphasize governance and observability; depth and ergonomics differ. If your main need is transparent provider choice and failover, add ShareAI.

Tyk vs LiteLLM — self-host proxy or managed governance?
LiteLLM is a DIY proxy you operate; Tyk is managed governance/observability for API egress. If you’d rather not run a proxy and want marketplace-driven routing, choose ShareAI.

Tyk vs Unify — best-model selection vs policy enforcement?
Unify focuses on evaluation-driven model selection; Tyk on policy/observability. For one API over many providers with live marketplace stats, use ShareAI.

Tyk vs Orq — orchestration vs egress
Orq helps orchestrate flows; Tyk governs egress traffic. ShareAI complements either with transparent multi-provider routing.

Provider facts (ShareAI)

Anyone can join as Community or Company provider.
Onboarding apps: Windows, Ubuntu, macOS, Docker.
Contribution modes: idle-time bursts or always-on.
Incentives: Rewards (earn money), Exchange (earn tokens to use later), Mission (donate a % to NGOs).
Perks as you scale: set your own inference prices, preferential exposure, and more. Learn more

Try ShareAI next

Open Playground — experiment with prompts/models in seconds.
Create your API key — start routing across providers with instant failover.
Browse Models — compare price, latency, uptime, availability, provider type before you route.
Docs · Releases
Sign in / Sign up — authentication autoselects login/registration as needed.

Pomerium Alternatives 2026: Top 10

Updated September 2026

If you’re evaluating Pomerium alternatives, this guide maps the landscape like a builder would. First, we clarify what Pomerium’s Agentic Access Gateway is—an identity- and policy-forward access layer for agent/LLM traffic—then we compare the 10 best Pomerium alternatives. We place ShareAI first for teams that want one API across many providers, transparent marketplace data (price, latency, uptime, availability, provider type) before routing, instant failover, and people-powered economics (70% of spend flows to providers who keep models online).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide · Releases · Sign in / Sign up

What Pomerium Agentic Access Gateway is (and isn’t)

Pomerium sits in the gateway/governance lane. It centralizes credentials and policy, enforces access decisions, and exposes observability so each AI/agent endpoint can be lifecycle-managed like an API. That’s a strong fit when identity, SSO, and policy compliance are your first priorities.

It’s not a marketplace that shows price/latency/uptime/availability/provider type before you route, nor does it natively provide multi-provider smart routing and instant failover. If you want those capabilities, you’ll pair a gateway with a provider-agnostic aggregator like ShareAI.

Aggregators vs Gateways vs Agent platforms

LLM aggregators: one API across many providers with pre-route transparency (price, latency, uptime, availability, provider type) plus smart routing/failover to balance cost and UX.
AI/Access gateways: policy & governance at the edge (credentials, SSO, rate limits, guardrails) with observability; you bring the providers. Pomerium is in this category.
Agent/chatbot platforms: packaged UX (memory/tools/channels) to build assistants. They are not marketplaces and often assume a single upstream.

How we evaluated the best Pomerium alternatives

Model breadth & neutrality: proprietary + open; easy switching; no rewrites.
Latency & resilience: routing policies; timeouts/retries; instant failover.
Governance & security: key handling, SSO, scopes, regional routing.
Observability: logs/traces; cost & latency dashboards.
Pricing transparency & TCO: pick routes with eyes-open.
Developer experience: docs, SDKs, quickstarts; time-to-first-token.
Community & economics: does your spend grow supply (e.g., incentives for GPU owners)?

Top 10 Pomerium alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, you can browse a large catalog of models/providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: 70% of every dollar flows to providers (community or company) who keep models online.

Why it’s #1 here. If you want provider-agnostic aggregation with pre-route transparency and resilience, ShareAI is the direct fit. Keep a gateway if you need org-wide policies; add ShareAI for marketplace-guided routing.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide · Releases

For providers: earn by keeping models online. Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure. Provider Dashboard.

#2 — OpenRouter

What it is. A unified API across many models—excellent for quick experiments and broad catalog access.

Where it fits. Use it when you want a single key and a wide menu of models. Add ShareAI when you need pre-route transparency and instant failover to control TCO and UX.

#3 — Traefik AI Gateway

What it is. AI egress governance on top of Traefik Hub with specialized middlewares and OTel-friendly observability.

Where it fits. Great when you need centralized policies, credentials, and traces at the edge. Pair with ShareAI to get marketplace routing across many providers.

#4 — Kong AI Gateway

What it is. Enterprise gateway with deep plugins, policies, and analytics.

Where it fits. Use for edge policy depth; combine with ShareAI for provider-agnostic routing and marketplace visibility.

#5 — Portkey

What it is. AI gateway emphasizing guardrails, governance, and detailed traces—popular in regulated environments.

Where it fits. Add ShareAI for transparent provider selection and failover if you want to balance safety with cost/latency.

#6 — Eden AI

What it is. Aggregator across LLMs and broader AI (vision/TTS/translation).

Where it fits. Useful for multi-capability projects. If you need pre-route transparency and resilience across many providers, ShareAI provides that view and routing control.

#7 — LiteLLM

What it is. Lightweight SDK + self-hostable proxy that speaks an OpenAI-compatible interface.

Where it fits. Great for DIY dev flow. Keep it for development; use ShareAI for managed routing and marketplace data in production.

#8 — Unify

What it is. Quality-oriented routing and evaluation to pick better models per prompt.

Where it fits. Pair with ShareAI for broader provider coverage and live marketplace stats when cost/latency/uptime matter.

#9 — Apache APISIX

What it is. General-purpose, high-performance API gateway with rich plugins.

Where it fits. Ideal for DIY edge control; add ShareAI when you need transparent multi-provider LLM routing rather than hard-coding a single upstream.

#10 — NGINX

What it is. Battle-tested web tier you can extend for LLM traffic (custom routing, token enforcement, caching).

Where it fits. For less bespoke glue and more transparent provider choice, pair your NGINX front with ShareAI.

Pomerium vs ShareAI (quick take)

If you need one API over many providers with transparent pricing/latency/uptime and instant failover, choose ShareAI. If your top requirement is egress governance—centralized credentials, identity-aware access, and OTel-friendly observability—Pomerium fits that lane. Many teams pair them: gateway for org policy + ShareAI for marketplace routing.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
Pomerium	Teams wanting identity-aware egress governance	BYO providers	Centralized credentials/policies (gateway-first)	OTel-friendly patterns	Conditional routing via policy	No (infra tool, not a marketplace)	n/a
OpenRouter	Devs wanting one key	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
Kong AI Gateway	Enterprises needing gateway-level policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No (infra)	n/a
Eden AI	Teams needing LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Apache APISIX	Enterprises / DIY	BYO	Policies	Add-ons	Custom	n/a	n/a
NGINX	DIY	BYO	Custom	Add-ons	Custom	n/a	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $ / 1K tokens hides the real picture. Effective TCO moves with retries/fallbacks, latency (which affects usage and abandon), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token — start in the Playground and use quickstarts.
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guide: moving to ShareAI

From Pomerium

Keep gateway-level policies where they shine; add ShareAI for marketplace routing + instant failover. Pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies as you learn.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs. managed routing benefits.

From Unify / Portkey / Kong

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice and failover.

Developer quickstart (copy-paste)

These examples use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key — get one at Create API Key. See the API Reference for details.

#!/usr/bin/env bash
# cURL (bash) — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge runtimes
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored and for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently (OTel).
Incident response: escalation paths and provider SLAs.

FAQ — Pomerium vs others (and competitor-vs-competitor)

Pomerium vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. Pomerium is an egress governance tool (centralized credentials/policy; identity-aware access; OTel-friendly observability). Many teams use both.

Pomerium vs OpenRouter — quick multi-model access or gateway controls?

OpenRouter makes multi-model access quick; Pomerium centralizes policy/observability. If you also want pre-route transparency and instant failover, ShareAI combines multi-provider access with a marketplace view and resilient routing.

Pomerium vs Traefik AI Gateway — two gateways, AI-specific controls

Both are gateways (policies/guardrails/observability). If you also need provider-agnostic routing with transparency, pair the gateway with ShareAI.

Pomerium vs Kong AI Gateway — policy depth and plugins

Kong offers deep edge plugins/policies; Pomerium focuses on identity-aware access. For transparent provider choice and failover, add ShareAI.

Pomerium vs Portkey — who’s stronger on guardrails?

Both emphasize governance and traces; depth/ergonomics differ. If your main need is transparent provider selection and instant failover, use ShareAI alongside either.

Pomerium vs Eden AI — many AI services or egress control?

Eden AI aggregates multiple AI services; Pomerium governs egress. For pricing/latency transparency across many providers, choose ShareAI.

Pomerium vs LiteLLM — self-host proxy or managed governance?

LiteLLM is a DIY proxy; Pomerium is managed governance/observability. If you’d rather not run a proxy and want marketplace-driven routing, choose ShareAI.

Pomerium vs Unify — evaluation-driven vs policy-driven

Unify focuses on evaluation-based model selection; Pomerium on policy/observability. For one API with live marketplace stats, pick ShareAI.

Pomerium vs Apache APISIX — DIY gateway vs identity-aware access

APISIX is a general API gateway; Pomerium centers on identity-aware access. Need transparent multi-provider LLM routing? Use ShareAI.

Pomerium vs NGINX

NGINX is DIY (custom Lua, policies, caching); Pomerium is a packaged access layer. To avoid bespoke glue and still get transparent provider selection, layer in ShareAI.

Try ShareAI next

GitLab AI Gateway Alternatives 2026 — Top 10

Updated September 2026

If you’re evaluating GitLab AI Gateway alternatives, this guide maps the landscape like a builder would. First, we clarify what GitLab’s AI Gateway lane is—egress governance (centralized credentials/policies), an LLM-aware control layer, and observability—then we compare the 10 best alternatives. We place ShareAI first for teams that want one API across many providers, a transparent marketplace with price / latency / uptime / availability before routing, instant failover, and people-powered economics (70% of every dollar flows back to providers—community or company).

What GitLab AI Gateway is (and isn’t)

What it is. A governance-first layer focused on routing AI traffic with policies, key management, and observability—so application teams can control LLM usage with the same discipline they bring to any production API.

What it isn’t. A neutral marketplace that helps you choose providers/models based on real-time price, latency, uptime, and availability or automatically fail over across multiple providers. Gateways standardize control; aggregators optimize choice and resilience.

Aggregators vs Gateways vs Agent platforms (quick primer)

LLM aggregators. One API across many models/providers with pre-route transparency (price, latency, uptime, availability, provider type), plus smart routing/failover.
AI gateways. Policy/governance at the edge (credentials, rate limits, guardrails), plus observability. You bring your providers. GitLab AI Gateway lives here.
Agent/chatbot platforms. Packaged UX, memory/tools, channels—great for end-user assistants, not provider-agnostic routing.

How we evaluated the best GitLab AI Gateway alternatives

Model breadth & neutrality. Proprietary + open; switch providers with no rewrites.
Latency & resilience. Routing policies, timeouts, retries, instant failover.
Governance & security. Key handling, scopes, regional routing, guardrails.
Observability. Logs/traces and cost/latency dashboards.
Pricing transparency & TCO. Compare real costs before you route.
Developer experience. Docs, SDKs, quickstarts; time-to-first-token.
Community & economics. Whether your spend grows supply (incentives for GPU owners; fair revenue share).

Top 10 GitLab AI Gateway alternatives

#1 — ShareAI (People-Powered AI API)

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers, returning value to the community.

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide · Releases

For providers: earn by keeping models online
Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens / AI Prosumer), or Mission (donate a % to NGOs). As you scale, set your own inference prices and gain preferential exposure. Provider Guide · Sign in / Sign up

#2 — Kong AI Gateway

Enterprise AI/LLM gateway—strong policies/plugins, analytics, and observability for AI traffic. It’s a control plane rather than a marketplace.

#3 — Portkey

AI gateway emphasizing observability, guardrails, and governance—popular where compliance is strict.

#4 — OpenRouter

Unified API over many models; excellent for fast experimentation across a wide catalog.

#5 — Eden AI

Aggregates LLMs plus broader AI (vision, translation, TTS), with fallbacks/caching and batching.

#6 — LiteLLM

Lightweight SDK + self-hostable proxy exposing an OpenAI-compatible interface to many providers.

#7 — Unify

Quality-oriented routing and evaluation to pick better models per prompt.

#8 — Orq AI

Orchestration/collaboration platform to move experiments → production with low-code flows.

#9 — Apigee (with LLMs behind it)

Mature API management/gateway you can place in front of LLM providers to apply policies, keys, and quotas.

#10 — NGINX

DIY path: build custom routing, token enforcement, and caching for LLM backends if you prefer tight control.

GitLab AI Gateway vs ShareAI (tl;dr):
Need one API over many providers with marketplace transparency and instant failover? Choose ShareAI.
Need egress governance—centralized credentials, policy, observability—and you already picked your providers? GitLab AI Gateway fits that lane. Many teams pair them: gateway for org policy + ShareAI for marketplace-guided routing.

Quick comparison (at a glance)

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
GitLab AI Gateway	Teams wanting egress governance	BYO providers	Centralized credentials/policies	Metrics/tracing	Conditional routing via policies	No (infra tool, not a marketplace)	n/a
Kong AI Gateway	Enterprises needing gateway-level policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
OpenRouter	Devs wanting one key to many models	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Eden AI	LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Orq	Orchestration-first teams	Wide support	Platform controls	Platform analytics	Orchestration flows	n/a	n/a
Apigee / NGINX	Enterprises / DIY	BYO	Policies	Add-ons / custom	Custom	n/a	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the real picture. TCO shifts with retries/fallbacks, latency (which affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token (Playground, quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover—budget for it.

Migration playbooks: moving to ShareAI

From GitLab AI Gateway

Keep gateway-level policies where they shine. Add ShareAI for marketplace routing + instant failover. Pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs. managed routing benefits.

From Unify / Portkey / Orq / Kong

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice and failover.

Developer quickstart (copy-paste)

The following use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key—get one at Create API Key.

#!/usr/bin/env bash
# cURL — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (Node 18+/Edge runtimes) — Chat Completions
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Next steps: Open Playground · Create API Key · API Reference

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored, for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter/pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

FAQ — GitLab AI Gateway vs other competitors

GitLab AI Gateway vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. GitLab AI Gateway is egress governance (centralized credentials, policy, observability). Many teams use both.

GitLab AI Gateway vs OpenRouter — quick multi-model access or gateway controls?

OpenRouter makes multi-model access quick; GitLab centralizes policy and observability. If you also want pre-route transparency and instant failover, ShareAI combines multi-provider access with a marketplace view and resilient routing.

GitLab AI Gateway vs Eden AI — many AI services or egress control?

Eden AI aggregates several AI services (LLM, image, TTS). GitLab centralizes policy/credentials. For transparent pricing/latency across many providers and instant failover, choose ShareAI.

GitLab AI Gateway vs LiteLLM — self-host proxy or managed governance?

LiteLLM is a DIY proxy you operate; GitLab is managed governance/observability for AI egress. If you’d rather not run a proxy and want marketplace-driven routing, choose ShareAI.

GitLab AI Gateway vs Portkey — who’s stronger on guardrails?

Both emphasize governance/observability; depth and ergonomics differ. If your main need is transparent provider choice + failover, add ShareAI.

GitLab AI Gateway vs Unify — best-model selection vs policy enforcement?

Unify focuses on evaluation-driven model selection; GitLab focuses on policy/observability. For one API over many providers with live marketplace stats, use ShareAI.

GitLab AI Gateway vs Orq — orchestration vs egress?

Orq helps orchestrate workflows; GitLab governs egress traffic. ShareAI complements either with marketplace routing.

GitLab AI Gateway vs Kong AI Gateway — two gateways

Both are gateways (policies, plugins, analytics), not marketplaces. Many teams pair a gateway with ShareAI for transparent multi-provider routing and failover.

GitLab AI Gateway vs Traefik AI Gateway — specialized AI middlewares or broader platform?

Traefik’s thin AI layer and specialized middlewares pair well with ShareAI’s marketplace transparency; GitLab provides governance inside the GitLab ecosystem.

GitLab AI Gateway vs Apigee — API management vs AI-specific egress

Apigee is broad API management; GitLab is AI-focused egress governance within your DevOps flow. If you need provider-agnostic access with marketplace transparency, use ShareAI.

GitLab AI Gateway vs NGINX — DIY vs turnkey

NGINX offers DIY filters/policies; GitLab offers a packaged layer. To avoid custom scripting and get transparent provider selection, layer in ShareAI.

OpenRouter vs Apache APISIX — marketplace speed or edge policy?

OpenRouter accelerates model trialing; APISIX is a programmable gateway. If you also want pre-route price/latency transparency with instant failover, use ShareAI.

LiteLLM vs OpenRouter — DIY proxy or hosted aggregator?

LiteLLM gives you a self-host proxy; OpenRouter hosts aggregation. ShareAI adds live marketplace stats + failover and returns 70% of revenue to providers—giving back to the community.

Kong vs Apache APISIX — enterprise plugins or open-source edge?

Both are strong gateways. If you want transparent provider choice and multi-provider resilience, route through ShareAI and keep your gateway for policy.

Portkey vs Unify — guardrails vs quality-driven selection?

Portkey leans into guardrails/observability; Unify into model quality selection. ShareAI brings market transparency and resilient routing to either stack.

NGINX vs Apache APISIX — two DIY paths

Both require engineering investment. If you’d rather delegate multi-provider routing + failover and keep policy at the edge, layer in ShareAI.

Try ShareAI next

Open Playground · Create your API key · Browse Models · Read the Docs · See Releases · Sign in / Sign up

WSO2 Alternatives 2026: Top 10

Updated September 2026

If you’re evaluating WSO2 alternatives, this guide maps the landscape the way a builder would. We start by clarifying where a gateway like WSO2 fits—governance at the edge, policy enforcement, and observability for AI/LLM traffic—then compare the 10 best WSO2 AI Gateway alternatives. We place ShareAI first for teams that want one API across many providers, a transparent marketplace showing price, latency, uptime, and availability before routing, instant failover, and people-powered economics (70% of spend goes to providers).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide · Releases

What WSO2 AI Gateway is (and isn’t)

WSO2’s AI/Gateway approach is rooted in classic API management: centralized credentials, policy controls, and observability for traffic you send to the models you choose. That’s a governance-first control plane—you bring your providers and enforce rules at the edge—rather than a transparent model marketplace that helps you compare providers and route intelligently across many of them.

If your top priority is organization-wide governance, a gateway makes sense. If you want provider-agnostic access with pre-route transparency and automatic failover, look at an aggregator/marketplace such as ShareAI—or run the two side-by-side.

Aggregators vs Gateways vs Agent platforms

LLM Aggregators / Marketplaces. One API over many models/providers with pre-route transparency (price, latency, uptime, availability, provider type) and smart routing/failover. Example: ShareAI.
AI Gateways. Governance at the edge (keys, rate limits, guardrails), plus observability; you supply the providers. Examples: WSO2, Kong, Portkey.
Agent/Chatbot platforms. Packaged UX (chat, tools, memory, channels) aimed at end-user assistants, not provider-agnostic aggregation. Example: Orq (orchestration-first).

How we evaluated the best WSO2 alternatives

Model breadth & neutrality. Proprietary and open models; easy switching without rewrites.
Latency & resilience. Routing policies, timeouts, retries, instant failover.
Governance & security. Key handling, scopes, regional routing, guardrails.
Observability. Logs/traces and cost/latency dashboards.
Pricing transparency & TCO. Compare real costs before you route.
Developer experience. Clear docs, SDKs, quickstarts; time-to-first-token.
Community & economics. Does your spend grow supply (incentives for GPU owners/providers)?

Top 10 WSO2 Alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, and provider type, and route with instant failover. Economics are people-powered: 70% of every dollar flows to providers (community or company) who keep models online.

Why it’s #1 here. If you want provider-agnostic aggregation with pre-route transparency and resilience by default, ShareAI is the most direct fit. Keep any gateway you already use for org-wide policies; add ShareAI for marketplace-guided routing.

One API → 150+ models across many providers; no rewrites, no lock-in. → Browse Models
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).
Builder-friendly: Open Playground · API Reference · Create API Key

For providers: earn by keeping models online
Anyone can become a ShareAI provider—Community or Company—and onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens / AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure. → Provider Guide

#2 — Kong AI Gateway

What it is. Enterprise AI/LLM gateway—governance, policies/plugins, analytics, and observability at the edge. A control plane rather than a marketplace.

#3 — Portkey

What it is. AI gateway emphasizing guardrails and deep observability, common in regulated industries.

#4 — OpenRouter

What it is. Unified API over many models; great for fast experimentation across a wide catalog.

#5 — Eden AI

What it is. Aggregates LLMs and broader AI (vision, translation, TTS); offers fallbacks/caching and batching.

#6 — LiteLLM

What it is. A lightweight Python SDK + self-hostable proxy that speaks an OpenAI-compatible interface to many providers.

#7 — Unify

What it is. Quality-oriented routing and evaluation to pick better models per prompt.

#8 — Orq AI

What it is. Orchestration/collaboration platform to move from experiments to production with low-code flows.

#9 — Apigee (with LLMs behind it)

What it is. Mature API management/gateway you can place in front of LLM providers to apply policies, keys, and quotas.

#10 — NGINX

What it is. DIY control: build custom routing, token enforcement, and caching for LLM backends if you prefer hand-rolled policies.

WSO2 vs ShareAI (at a glance)

If you need one API across many providers with transparent pricing/latency/uptime and instant failover, choose ShareAI.
If your top requirement is egress governance—centralized credentials, policy enforcement, and observability—WSO2 fits that lane.
Many teams pair them: gateway for org policy + ShareAI for marketplace routing.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
WSO2	Teams wanting egress governance	BYO providers	Centralized credentials/policies	Metrics/tracing (gateway-first)	Conditional routing via policies	No (infra tool, not a marketplace)	n/a
Kong AI Gateway	Enterprises needing gateway-level policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No (infra)	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
OpenRouter	Devs wanting one key across many models	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Eden AI	Teams needing LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Orq	Orchestration-first teams	Wide support	Platform controls	Platform analytics	Orchestration flows	n/a	n/a
Apigee / NGINX	Enterprises / DIY	BYO	Policies	Add-ons/custom	Custom	n/a	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens can hide the real picture. Your TCO shifts with retries/fallbacks, latency (which affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token. Use the Open Playground and quickstarts.
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guide: moving to ShareAI

From WSO2

Keep gateway-level policies where they shine; add ShareAI for marketplace routing + instant failover. Pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs managed routing benefits.

From Unify / Portkey / Orq / Kong

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice and failover.

Developer quickstart (copy-paste)

Use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key—get one at Create API Key. See the API Reference for details.

#!/usr/bin/env bash
# cURL — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

# Python — requests
# Prereqs:
#   pip install requests

import os
import json
import requests

API_KEY = os.environ.get("SHAREAI_API_KEY", "YOUR_KEY")
url = "https://api.shareai.now/v1/chat/completions"

payload = {
  "model": "llama-3.1-70b",
  "messages": [
    {"role": "user", "content": "Give me a short haiku about reliable routing."}
  ],
  "temperature": 0.4,
  "max_tokens": 128
}

headers = {
  "Authorization": f"Bearer {API_KEY}",
  "Content-Type": "application/json"
}

resp = requests.post(url, headers=headers, json=payload)
print(resp.status_code)
print(json.dumps(resp.json(), indent=2))

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored; duration; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter/pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

FAQ — WSO2 alternatives & comparison matchups

WSO2 vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. WSO2 is a governance tool (centralized credentials/policy; gateway-first observability). Many teams use both.

WSO2 vs Kong AI Gateway — who’s stronger on edge policy?

Both are gateways; Kong is known for a deep plugin ecosystem and edge policies, while WSO2 aligns closely with API-management workflows. If you also want pre-route transparency and instant failover, layer in ShareAI.

WSO2 vs Portkey — governance and guardrails?

Portkey emphasizes guardrails and tracing depth; WSO2 offers policy-driven governance. For provider-agnostic choice with marketplace stats and automatic failover, add ShareAI.

WSO2 vs OpenRouter — marketplace breadth or gateway control?

OpenRouter offers a broad model catalog; WSO2 centralizes policy. If you want breadth + resilience with live marketplace metrics, ShareAI combines multi-provider routing with transparent pre-route data.

WSO2 vs Orq — orchestration vs egress?

Orq helps orchestrate workflows; WSO2 governs egress. Keep your orchestration where it shines and use ShareAI for provider-agnostic routing with a market view.

Try ShareAI next

Open Playground — test models live.
Create your API key — start integrating in minutes.
Browse Models — compare price, latency, uptime, availability, provider type.
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Orq AI Proxy Alternatives 2026: Top 10

Updated September 2026

If you’re researching Orq AI Proxy alternatives, this guide maps the landscape the way a builder would. We’ll quickly define where Orq fits (an orchestration-first proxy that helps teams move from experiments to production with collaborative flows), then compare the 10 best alternatives across aggregation, gateways, and orchestration. We place ShareAI first for teams that want one API across many providers, transparent marketplace signals (price, latency, uptime, availability, provider type) before routing, instant failover, and people-powered economics (providers—community or company—earn the majority of spend when they keep models online).

What Orq AI Proxy is (and isn’t)

Orq AI Proxy sits in an orchestration-first platform. It emphasizes collaboration, flows, and taking prototypes to production. You’ll find tooling for coordinating multi-step tasks, analytics around runs, and a proxy that streamlines how teams ship. That’s different from a transparent model marketplace: pre-route visibility into price/latency/uptime/availability across many providers—plus smart routing and instant failover—is where a multi-provider API like ShareAI shines.

In short:

Orchestration-first (Orq): ship workflows, manage runs, collaborate—useful if your core need is flow tooling.
Marketplace-first (ShareAI): pick best-fit provider/model with live signals and automatic resilience—useful if your core need is routing across providers without lock-in.

Aggregators vs. Gateways vs. Orchestration Platforms

LLM Aggregators (e.g., ShareAI, OpenRouter, Eden AI): One API across many providers/models. With ShareAI you can compare price, latency, uptime, availability, provider type before routing, then fail over instantly if a provider degrades.

AI Gateways (e.g., Kong, Portkey, Traefik, Apigee, NGINX): Policy/governance at the edge (centralized credentials, WAF/rate limits/guardrails), plus observability. You typically bring your own providers.

Orchestration Platforms (e.g., Orq, Unify; LiteLLM if self-hosted proxy flavor): Focus on flows, tooling, and sometimes quality selection—helping teams structure prompts, tools, and evaluations.

Use them together when it helps: many teams keep a gateway for org-wide policy while routing via ShareAI for marketplace transparency and resilience.

How we evaluated the best Orq AI Proxy alternatives

Model breadth & neutrality: proprietary + open; easy to switch; minimal rewrites.
Latency & resilience: routing policies, timeouts/retries, instant failover.
Governance & security: key handling, scopes, regional routing.
Observability: logs/traces and cost/latency dashboards.
Pricing transparency & TCO: see real costs/UX tradeoffs before you route.
Developer experience: docs, SDKs, quickstarts; time-to-first-token.
Community & economics: does your spend grow supply (incentives for GPU owners/providers)?

Top 10 Orq AI Proxy alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: providers (community or company) earn the majority of spend when they keep models online.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: people-powered—providers earn when they keep models available.

Quick links:

For providers: earn by keeping models online

Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, set your own inference prices and gain preferential exposure.

#2 — OpenRouter

What it is. A unified API over many models; great for fast experimentation across a broad catalog.

When to pick. If you want quick access to diverse models with minimal setup.

Compare to ShareAI. ShareAI adds pre-route marketplace transparency and instant failover across many providers.

#3 — Portkey

What it is. An AI gateway emphasizing observability, guardrails, and governance.

When to pick. Regulated environments that require deep policy/guardrail controls.

Compare to ShareAI. ShareAI focuses on multi-provider routing + marketplace transparency; pair it with a gateway if you need org-wide policy.

#4 — Kong AI Gateway

What it is. An enterprise gateway: policies/plugins, analytics, and edge governance for AI traffic.

When to pick. If your org already runs Kong or needs rich API governance.

Compare to ShareAI. Add ShareAI for transparent provider choice and failover; keep Kong for the control plane.

#5 — Eden AI

What it is. An aggregator for LLMs and broader AI services (vision, TTS, translation).

When to pick. If you need many AI modalities behind one key.

Compare to ShareAI. ShareAI specializes in marketplace transparency for model routing across providers.

#6 — LiteLLM

What it is. A lightweight SDK + self-hostable proxy that speaks an OpenAI-compatible interface to many providers.

When to pick. DIY teams who want a local proxy they operate themselves.

Compare to ShareAI. ShareAI is managed with marketplace data and failover; keep LiteLLM for dev if desired.

#7 — Unify

What it is. Quality-oriented selection and evaluation to pick better models for each prompt.

When to pick. If you want evaluation-driven routing.

Compare to ShareAI. ShareAI adds live marketplace signals and instant failover across many providers.

#8 — Orq (platform)

What it is. Orchestration/collaboration platform that helps teams move from experiments to production with low-code flows.

When to pick. If your top need is workflow orchestration and team collaboration.

Compare to ShareAI. ShareAI is provider-agnostic routing with pre-route transparency and failover; many teams pair Orq with ShareAI.

#9 — Apigee (with LLM backends)

What it is. A mature API management platform you can place in front of LLM providers to apply policies, keys, quotas.

When to pick. Enterprise orgs standardizing on Apigee for API control.

Compare to ShareAI. Add ShareAI to gain transparent provider choice and instant failover.

#10 — NGINX (DIY)

What it is. A do-it-yourself edge: publish routes, token enforcement, caching with custom logic.

When to pick. If you prefer full DIY and have ops bandwidth.

Compare to ShareAI. Pairing with ShareAI avoids bespoke logic for provider selection and failover.

Orq AI Proxy vs ShareAI (quick view)

If you need one API over many providers with transparent price/latency/uptime/availability and instant failover, choose ShareAI. If your top requirement is orchestration and collaboration—flows, multi-step tasks, and team-centric productionization—Orq fits that lane. Many teams pair them: orchestration inside Orq + marketplace-guided routing in ShareAI.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Price, latency, uptime, availability, provider type	Yes—open supply; providers earn
Orq (Proxy)	Orchestration-first teams	Wide support via flows	Platform controls	Run analytics	Orchestration-centric	Not a marketplace	n/a
OpenRouter	Devs wanting one key	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
Kong AI Gateway	Enterprises needing gateway policy	BYO	Strong edge policies/plugins	Analytics	Proxy/plugins, retries	No (infra tool)	n/a
Eden AI	Teams needing LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Apigee / NGINX	Enterprises / DIY	BYO	Policies	Add-ons / custom	Custom	n/a	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the real picture. TCO shifts with retries/fallbacks, latency (which affects end-user usage), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token (Playground, quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing + failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guide: moving to ShareAI

From Orq

Keep Orq’s orchestration where it shines; add ShareAI for provider-agnostic routing and transparent selection. Pattern: orchestration → ShareAI route per model → observe marketplace stats → tighten policies.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs. managed routing benefits.

From Unify / Portkey / Kong / Traefik / Apigee / NGINX

Define feature-parity expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they’re strongest; use ShareAI for transparent provider choice + failover.

Developer quickstart (copy-paste)

The following use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key—get one at Create API Key.

#!/usr/bin/env bash
# cURL (bash) — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge runtimes
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored, and for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

FAQ — Orq AI Proxy vs other competitors

Orq AI Proxy vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. Orq focuses on orchestration and collaboration. Many teams run Orq + ShareAI together.

Orq AI Proxy vs OpenRouter — quick multi-model access or marketplace transparency?

OpenRouter makes multi-model access quick; ShareAI layers in pre-route transparency and instant failover across providers.

Orq AI Proxy vs Portkey — guardrails/governance or marketplace routing?

Portkey emphasizes governance & observability. If you need transparent provider choice and failover with one API, pick ShareAI (and you can still keep a gateway).

Orq AI Proxy vs Kong AI Gateway — gateway controls or marketplace visibility?

Kong centralizes policies/plugins; ShareAI provides provider-agnostic routing with live marketplace stats—often paired together.

Orq AI Proxy vs Traefik AI Gateway — thin AI layer or marketplace routing?

Traefik’s AI layer adds AI-specific middlewares and OTel-friendly observability. For transparent provider selection and instant failover, use ShareAI.

Orq AI Proxy vs Eden AI — many AI services or provider neutrality?

Eden aggregates multiple AI services. ShareAI focuses on neutral model routing with pre-route transparency.

Orq AI Proxy vs LiteLLM — self-host proxy or managed marketplace?

LiteLLM is DIY; ShareAI is managed with marketplace data and failover. Keep LiteLLM for dev if you like.

Orq AI Proxy vs Unify — evaluation-driven model picks or marketplace routing?

Unify leans into quality evaluation; ShareAI adds live price/latency/uptime signals and instant failover across providers.

Orq AI Proxy vs Apigee — API management or provider-agnostic routing?

Apigee is broad API management. ShareAI offers transparent, multi-provider routing you can place behind your gateway.

Orq AI Proxy vs NGINX — DIY edge or managed routing?

NGINX offers DIY filters/policies. ShareAI avoids custom logic for provider selection and failover.

Orq AI Proxy vs Apache APISIX — plugin ecosystem or marketplace transparency?

APISIX brings a plugin-rich gateway. ShareAI brings pre-route provider/model visibility and resilient routing. Use both if you want policy at the edge and transparent multi-provider access.

Try ShareAI next

Arch Gateway Alternatives 2026: Top 10

Updated September 2026

If you’re evaluating Arch Gateway alternatives, this guide maps the landscape like a builder would. First, we clarify what Arch Gateway is—a prompt-aware gateway for LLM traffic and agentic apps—then compare the 10 best alternatives. We place ShareAI first for teams that want one API across many providers, pre-route transparency (price, latency, uptime, availability) before routing, instant failover, and people-powered economics (70% of spend goes to providers).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide · Releases

What Arch Gateway is (and isn’t)

What it is. Arch Gateway (often shortened to “Arch” / archgw) is an AI-aware gateway for agentic apps. It sits at the edge of your stack to apply guardrails, normalize/clarify inputs, route prompts to the right tool or model, and unify access to LLMs—so your app can focus on business logic instead of infrastructure plumbing.

What it isn’t. Arch is a governance-and-routing layer for prompts and agents; it’s not a transparent model marketplace that shows provider price, latency, uptime, availability before you route. That’s where ShareAI shines.

Aggregators vs Gateways vs Agent platforms

LLM aggregators — One API across many models/providers with pre-route transparency (price, latency, uptime, availability, provider type) and smart routing/failover. Example: ShareAI.
AI gateways — Edge governance for LLM traffic (keys, policies, rate limits, guardrails) plus observability. You bring your providers. Examples: Arch Gateway, Kong AI Gateway, Portkey.
Agent/chatbot platforms — Packaged UX (memory/tools/channels) for assistants; closer to product than infra. Example: Orq.

How we evaluated the best Arch Gateway alternatives

Model breadth & neutrality — proprietary + open; easy switching; no rewrites.
Latency & resilience — routing policies, timeouts/retries, instant failover.
Governance & security — key handling, scopes, regional routing, guardrails.
Observability — logs/traces and cost/latency dashboards.
Pricing transparency & TCO — compare real costs before you route.
Developer experience — docs, SDKs, quickstarts; time-to-first-token.
Community & economics — whether your spend grows supply (incentives for GPU owners).

Top 10 Arch Gateway alternatives

#1 — ShareAI (People-Powered AI API)

Why it’s #1 here. If you want provider-agnostic aggregation with pre-route transparency and resilience, ShareAI is the most direct fit. Keep a gateway if you need org-wide policies; add ShareAI for marketplace-guided routing.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · User Guide

#2 — Kong AI Gateway

What it is. Enterprise AI/LLM gateway—governance, policies/plugins, analytics, and observability for AI traffic at the edge. It’s a control plane rather than a marketplace.

#3 — Portkey

What it is. AI gateway emphasizing guardrails and observability—popular in regulated environments.

#4 — OpenRouter

What it is. Unified API over many models; great for fast experimentation across a wide catalog.

#5 — Eden AI

What it is. Aggregates LLMs plus broader AI capabilities (vision, translation, TTS), with fallbacks/caching and batching.

#6 — LiteLLM

What it is. A lightweight Python SDK + self-hostable proxy that speaks an OpenAI-compatible interface to many providers.

#7 — Unify

What it is. Quality-oriented routing and evaluation to pick better models per prompt.

#8 — Orq AI

What it is. Orchestration/collaboration platform that helps teams move from experiments to production with low-code flows.

#9 — Apigee (with LLMs behind it)

What it is. A mature API management/gateway you can place in front of LLM providers to apply policies, keys, and quotas.

#10 — NGINX

What it is. Use NGINX to build custom routing, token enforcement, and caching for LLM backends if you prefer DIY control.

Arch Gateway vs ShareAI

If you need one API over many providers with transparent pricing/latency/uptime/availability and instant failover, choose ShareAI. If your top requirement is egress governance—centralized credentials, policy enforcement, and prompt-aware routing—Arch Gateway fits that lane. Many teams pair them: gateway for org policy + ShareAI for marketplace routing.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product/platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
Arch Gateway	Teams building agentic apps needing prompt-aware edge	BYO providers	Guardrails, keys, policies	Tracing/observability for prompts	Conditional routing to agents/tools	No (infra tool, not a marketplace)	n/a
Kong AI Gateway	Enterprises needing gateway-level policy	BYO	Strong edge policies/plugins	Analytics	Retries via plugins	No	n/a
Portkey	Regulated/enterprise teams	Broad	Guardrails & governance	Deep traces	Conditional routing	Partial	n/a
OpenRouter	Devs wanting one key	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Eden AI	Teams needing LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard API security	Platform analytics	Best-model selection	n/a	n/a
Orq	Orchestration-first teams	Wide support	Platform controls	Platform analytics	Orchestration flows	n/a	n/a
Apigee / NGINX	Enterprises / DIY	BYO	Policies	Add-ons / custom	Custom	n/a	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the true picture. TCO shifts with retries/fallbacks, latency (affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token (Playground, quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Expect higher effective token costs from retries during failover; budget for it.

Migration guide: moving to ShareAI

From Arch Gateway

Keep gateway-level policies where they shine, add ShareAI for marketplace routing + instant failover. Pattern: gateway auth/policy → ShareAI route per model → measure marketplace stats → tighten policies.

From OpenRouter

Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% → 50% → 100% as latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for dev if desired. Compare ops overhead vs. managed routing benefits.

From Unify / Portkey / Orq / Kong

Developer quickstart (copy-paste)

The following use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key — get one at Create API Key. See the API Reference for details.

#!/usr/bin/env bash
# cURL (bash) — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge runtimes
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored, for how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently.
Incident response: escalation paths and provider SLAs.

FAQ — Arch Gateway vs other competitors

Arch Gateway vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. Arch Gateway is a prompt-aware governance/routing layer (guardrails, agent routing, unified LLM access). Many teams use both.

Arch Gateway vs OpenRouter — quick multi-model access or gateway controls?

OpenRouter gives quick multi-model access; Arch centralizes policy/guardrails and agent routing. If you also want pre-route transparency and instant failover, ShareAI combines multi-provider access with a marketplace view and resilient routing.

Arch Gateway vs Traefik AI Gateway — thin AI layer or marketplace routing?

Both are gateways (credentials/policies; observability). If the goal is provider-agnostic access with transparency and failover, add ShareAI.

Arch Gateway vs Kong AI Gateway — two gateways

Both are gateways (policies/plugins/analytics), not marketplaces. Many teams pair a gateway with ShareAI for transparent multi-provider routing and failover.

Arch Gateway vs Portkey — who’s stronger on guardrails?

Both emphasize governance and observability; depth and ergonomics differ. If your main need is transparent provider choice and failover, add ShareAI.

Arch Gateway vs Unify — best-model selection vs policy enforcement?

Unify focuses on evaluation-driven model selection; Arch on guardrails + agent routing. For one API over many providers with live marketplace stats, use ShareAI.

Arch Gateway vs Eden AI — many AI services or egress control?

Eden AI aggregates several AI services (LLM, image, TTS). Arch centralizes policy/credentials and agent routing. For transparent pricing/latency across many providers and instant failover, choose ShareAI.

Arch Gateway vs LiteLLM — self-host proxy or managed gateway?

LiteLLM is a DIY proxy you operate; Arch is a managed, prompt-aware gateway. If you’d rather not run a proxy and want marketplace-driven routing, choose ShareAI.

Arch Gateway vs Orq — orchestration vs egress?

Orq orchestrates workflows; Arch governs prompt traffic and agent routing. ShareAI complements either with transparent provider selection.

Arch Gateway vs Apigee — API management vs AI-specific egress

Apigee is broad API management; Arch is LLM/agent-focused egress governance. Need provider-agnostic access with marketplace transparency? Use ShareAI.

Arch Gateway vs NGINX — DIY vs turnkey

NGINX offers DIY filters/policies; Arch offers packaged, prompt-aware gateway features. To avoid custom scripting and still get transparent provider selection, layer in ShareAI.

For providers: earn by keeping models online

Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure.

Provider links — Provider Guide · Provider Dashboard · Exchange Overview · Mission Contribution

Try ShareAI next

Open Playground — test models live, compare latency & quality.
Create your API key — start routing in minutes.
Browse Models — choose by price, latency, uptime, availability, provider type.
Read the Docs — quickstarts and references.
Sign in / Sign up

Helicone Alternatives 2026: Top 10

Updated September 2026

If you’re researching Helicone alternatives, this guide lays out the landscape like a builder would. First we clarify what Helicone is (and isn’t), then we compare the 10 best alternatives—placing ShareAI first for teams that want one API across many providers, pre-route transparency (price, latency, uptime, availability, provider type), instant failover, and people-powered economics (70% of spend goes to providers who keep models online).

What Helicone is (and isn’t)

Helicone began as an open-source LLM observability platform—a proxy that logs and analyzes your LLM traffic (latency, cost, usage) to help you debug and optimize. Over time, the product added an AI Gateway with one API to 100+ models, while continuing to emphasize routing, debugging, and analytics.

From the official site and docs:

Open-source LLM observability with one-line setup; logs/metrics for requests.
AI Gateway with a unified surface to access 100+ models and automatically log requests.
Positioning: route, debug, and analyze your AI apps.

Interpretation: Helicone blends observability (logging/metrics) with a gateway. It offers some aggregation, but its center of gravity is still telemetry-first (investigate, monitor, analyze). That’s different from a transparent multi-provider marketplace where you decide routes based on pre-route model/provider price, latency, uptime, and availability—and swap quickly when conditions change. (That’s where ShareAI shines.)

Aggregators vs Gateways vs Observability platforms

LLM aggregators/marketplaces: one API across many providers with pre-route transparency (price, latency, uptime, availability, provider type) and smart routing/failover.
AI gateways: governance and policy at the edge (centralized keys, rate limits, guardrails), observability, some routing; you bring providers.
Observability platforms: capture requests/responses, latency, costs; APM-style troubleshooting.
Hybrids (like Helicone): observability core + gateway features, increasingly blurring lines.

How we evaluated the best Helicone alternatives

Model breadth & neutrality: proprietary + open; easy switching; minimal rewrites.
Latency & resilience: routing policies, timeouts, retries, instant failover.
Governance & security: key handling, scopes; regional routing/data locality.
Observability: logs/traces and cost/latency dashboards.
Pricing transparency & TCO: compare real costs before routing.
Developer experience: docs, SDKs, quickstarts; time-to-first-token.
Community & economics: whether your spend grows supply (incentives for GPU owners).

Top 10 Helicone alternatives

#1 — ShareAI (People-Powered AI API)

What it is. A multi-provider API with a transparent marketplace and smart routing. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type, and route with instant failover. Economics are people-powered: 70% of every dollar flows to providers (community or company) who keep models online.

One API → 150+ models across many providers; no rewrites, no lock-in.
Transparent marketplace: choose by price, latency, uptime, availability, provider type.
Resilience by default: routing policies + instant failover.
Fair economics: 70% of spend goes to providers (community or company).

Quick links — Browse Models · Open Playground · Create API Key · API Reference · Releases

For providers: earn by keeping models online
Anyone can become a ShareAI provider—Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards (money), Exchange (tokens/AI Prosumer), or Mission (donate a % to NGOs). As you scale, you can set your own inference prices and gain preferential exposure. Provider links — Provider Guide · Provider Dashboard

#2 — OpenRouter

Unified API across a wide catalog—great for fast experimentation and coverage. It’s strong on breadth and quick trials; pair with a marketplace for pre-route transparency and failover.

#3 — Eden AI

Aggregates LLMs plus broader AI (vision, translation, speech). Handy for teams that need multi-modality beyond text; add marketplace-guided routing to balance cost and latency.

#4 — Portkey

AI gateway emphasizing observability, guardrails, and governance—popular in regulated settings. Keep for policy depth; add ShareAI for provider choice and failover.

#5 — LiteLLM

Lightweight Python SDK and self-host proxy that speaks an OpenAI-compatible interface to many providers. Great for DIY; swap to ShareAI when you don’t want to operate a proxy in production.

#6 — Unify

Quality-oriented routing and evaluation to pick better models per prompt. Complement with ShareAI when you also need live marketplace stats and instant failover.

#7 — Orq AI

Orchestration and collaboration to move from experiment to production with low-code flows. Run side-by-side with ShareAI’s routing and marketplace layer.

#8 — Kong AI Gateway

Enterprise gateway: policies, plugins, analytics, and observability for AI traffic at the edge. It’s a control plane rather than a marketplace.

#9 — Traefik AI Gateway

Thin AI layer atop Traefik’s API gateway—specialized middlewares, centralized credentials, and OpenTelemetry-friendly observability. Pair with ShareAI for transparent multi-provider routing.

#10 — Apigee / NGINX (DIY)

General API management (Apigee) and programmable proxy (NGINX). You can roll your own AI gateway controls; add ShareAI for marketplace transparency and failover without custom plumbing.

Helicone vs ShareAI (at a glance)

If you need one API over many providers with transparent pricing/latency/uptime and instant failover, choose ShareAI.
If your top requirement is telemetry and debugging, Helicone’s observability-first approach is valuable; with the newer AI Gateway, it offers unified access but not a provider marketplace with pre-route transparency.

Quick comparison

Platform	Who it serves	Model breadth	Governance & security	Observability	Routing / failover	Marketplace transparency	Provider program
ShareAI	Product & platform teams needing one API + fair economics	150+ models, many providers	API keys & per-route controls	Console usage + marketplace stats	Smart routing + instant failover	Yes (price, latency, uptime, availability, provider type)	Yes — open supply; 70% to providers
Helicone	Teams wanting telemetry + AI Gateway access	100+ models via Gateway	Centralized keys via gateway	Yes — logs/metrics	Conditional routing	Partial (gateway view; not a pricing marketplace)	n/a
OpenRouter	Devs needing fast multi-model access	Wide catalog	Basic API controls	App-side	Fallbacks	Partial	n/a
Eden AI	LLM + other AI services	Broad	Standard controls	Varies	Fallbacks/caching	Partial	n/a
Portkey	Regulated/enterprise	Broad	Guardrails & governance	Deep traces	Conditional	Partial	n/a
LiteLLM	DIY/self-host proxy	Many providers	Config/key limits	Your infra	Retries/fallback	n/a	n/a
Unify	Quality-driven teams	Multi-model	Standard security	Platform analytics	Best-model selection	n/a	n/a
Orq	Orchestration-first	Wide support	Platform controls	Platform analytics	Orchestration flows	n/a	n/a
Kong AI Gateway	Enterprises/gateway	BYO providers	Strong edge policies	Analytics	Proxy/plugins, retries	No (infra)	n/a
Traefik AI Gateway	Egress governance	BYO providers	Centralized policies	OpenTelemetry	Middlewares	No (infra)	n/a

Pricing & TCO: compare real costs (not just unit prices)

Raw $/1K tokens hides the real picture. TCO shifts with retries/fallbacks, latency (which affects user behavior), provider variance, observability storage, and evaluation runs. A transparent marketplace helps you choose routes that balance cost and UX.

A simple framing:

TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate))
      + Observability_storage
      + Evaluation_tokens
      + Egress

Prototype (~10k tokens/day): Optimize for time-to-first-token (Playground, quickstarts).
Mid-scale (~2M tokens/day): Marketplace-guided routing/failover can trim 10–20% while improving UX.
Spiky workloads: Budget for higher effective token costs from retries during failover.

Migration guide: moving to ShareAI (from Helicone or others)

From Helicone

Use Helicone where it shines—telemetry—and add ShareAI for marketplace routing and instant failover. Common pattern: App → (optional gateway policy) → ShareAI route per model → measure marketplace stats → tighten policies over time. When you switch routes, verify prompt parity and expected latency/cost in the Playground before full rollout.

From OpenRouter

Map model names, confirm prompt compatibility, then shadow 10% of traffic and ramp 25% → 50% → 100% if latency/error budgets hold. Marketplace data makes provider swaps straightforward.

From LiteLLM

Replace the self-hosted proxy on production routes you don’t want to operate; keep LiteLLM for development if you prefer. Compare operational overhead versus managed routing benefits.

From Unify / Portkey / Orq / Kong / Traefik

Developer quickstart (copy-paste)

The following use an OpenAI-compatible surface. Replace YOUR_KEY with your ShareAI key — create one at Create API Key. See the API Reference for details.

#!/usr/bin/env bash
# cURL — Chat Completions
# Prereqs:
#   export SHAREAI_API_KEY="YOUR_KEY"

curl -X POST "https://api.shareai.now/v1/chat/completions" \
  -H "Authorization: Bearer $SHAREAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      { "role": "user", "content": "Give me a short haiku about reliable routing." }
    ],
    "temperature": 0.4,
    "max_tokens": 128
  }'

// JavaScript (fetch) — Node 18+/Edge
// Prereqs:
//   process.env.SHAREAI_API_KEY = "YOUR_KEY"

async function main() {
  const res = await fetch("https://api.shareai.now/v1/chat/completions", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${process.env.SHAREAI_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "llama-3.1-70b",
      messages: [
        { role: "user", content: "Give me a short haiku about reliable routing." }
      ],
      temperature: 0.4,
      max_tokens: 128
    })
  });

  if (!res.ok) {
    console.error("Request failed:", res.status, await res.text());
    return;
  }

  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
}

main().catch(console.error);

Security, privacy & compliance checklist (vendor-agnostic)

Key handling: rotation cadence; minimal scopes; environment separation.
Data retention: where prompts/responses are stored, how long; redaction defaults.
PII & sensitive content: masking; access controls; regional routing for data locality.
Observability: prompt/response logging; ability to filter or pseudonymize; propagate trace IDs consistently (OTel).
Incident response: escalation paths and provider SLAs.

FAQ — Helicone vs other competitors (and where ShareAI fits)

Helicone vs ShareAI — which for multi-provider routing?

ShareAI. It’s built for marketplace transparency (price, latency, uptime, availability, provider type) and smart routing/failover across many providers. Helicone centers on observability and now adds an AI Gateway; it’s useful telemetry, but not a marketplace with pre-route transparency. Many teams use both: Helicone for logs; ShareAI for routing choice.

Helicone vs OpenRouter — quick multi-model access or marketplace transparency?

OpenRouter makes multi-model access quick; Helicone adds deep logging/analysis. If you also want pre-route transparency and instant failover, ShareAI combines multi-provider access with a marketplace view and resilient routing.

Helicone vs Portkey — who’s stronger on guardrails?

Portkey focuses on governance/guardrails; Helicone on telemetry + gateway. If your main need is transparent provider choice and failover, add ShareAI.

Helicone vs LiteLLM — self-host proxy or managed layers?

LiteLLM is a DIY proxy/SDK; Helicone is observability + gateway. If you’d rather not run a proxy and you want marketplace-driven routing, pick ShareAI.

Helicone vs Unify — best-model selection vs logging?

Unify emphasizes evaluation-driven model selection; Helicone emphasizes logging. ShareAI adds live marketplace stats and routing when you want cost/latency control before you send traffic.

Helicone vs Eden AI — many AI services or observability + gateway?

Eden AI aggregates lots of modalities; Helicone blends observability + model access. For transparent pricing/latency across providers and instant failover, use ShareAI.

Helicone vs Orq — orchestration vs telemetry?

Orq helps orchestrate workflows; Helicone helps log and analyze them. Layer ShareAI for provider-agnostic routing tied to marketplace stats.

Helicone vs Kong AI Gateway — gateway depth vs telemetry?

Kong is a robust gateway (policies/plugins/analytics); Helicone is observability + gateway. Many teams pair a gateway with ShareAI for transparent routing.

Helicone vs Traefik AI Gateway — OTel governance or marketplace routing?

Traefik AI Gateway centralizes egress policies with OTel-friendly observability; Helicone offers telemetry plus a gateway surface. For one API over many providers with pre-route transparency, use ShareAI.

Helicone vs Apigee / NGINX — turnkey vs DIY?

Apigee/NGINX offer general API controls; Helicone is AI-specific telemetry + gateway. If you want transparent provider selection and failover without DIY, ShareAI is designed for that.

Sources & further reading (Helicone)

Helicone homepage — AI Gateway & LLM Observability; “route, debug, analyze;” one API to 100+ models.
Helicone docs — AI Gateway with model access and automatic logging.
Helicone GitHub — Open-source LLM observability project.

Quick links — Browse Models · Open Playground · Read the Docs · See Releases · Sign in / Sign up

Custom Work

Apps

Open Source

Apache APISIX Alternatives 2026: Top 10 APISIX Alternatives

What Apache APISIX is (and isn’t)

How we evaluated the best Apache APISIX alternatives

Top 10 Apache APISIX alternatives

#1 — ShareAI (People-Powered AI API)

#2 — Kong Gateway / Kong AI Gateway

#3 — Tyk

#4 — NGINX

#5 — Apigee

#6 — Gravitee

#7 — Traefik

#8 — KrakenD

#9 — WSO2 API Manager

#10 — Amazon API Gateway (or MuleSoft)

Related: AI aggregation/orchestration alternatives APISIX users ask about

Quick comparison (gateway vs marketplace)

Pricing & TCO: compare real costs (not just unit prices)

How to try the ShareAI route (copy-paste quickstarts)

Migration patterns: moving to (or pairing with) ShareAI

From APISIX (keep your gateway)

From OpenRouter

From LiteLLM

From Unify / Portkey / Orq / Kong

Security, privacy & compliance: a vendor-agnostic checklist

For providers: earn by keeping models online

FAQ — Apache APISIX vs. other competitors

Apache APISIX vs ShareAI — which for multi-provider AI routing?

Apache APISIX vs Kong — gateway vs gateway?

Apache APISIX vs Tyk — developer ergonomics or marketplace transparency?

Apache APISIX vs NGINX — DIY control or turnkey marketplace routing?

Apache APISIX vs Apigee — API management vs provider-agnostic AI?

Apache APISIX vs Gravitee — open source policy vs live marketplace data?

Apache APISIX vs KrakenD — aggregation vs aggregation+marketplace?

Apache APISIX vs WSO2 — platform depth vs multi-provider agility?

Apache APISIX vs Amazon API Gateway — managed control vs provider choice?

Apache APISIX vs MuleSoft — enterprise integrations vs marketplace routing?

Apache APISIX vs OpenResty — Lua power vs no-code marketplace?

Apache APISIX vs Portkey — who’s stronger on guardrails?

Apache APISIX vs OpenRouter — fast multi-model access or resilient routing with live stats?

Apache APISIX vs Eden AI — many AI services or marketplace transparency?

Apache APISIX vs LiteLLM — self-hosted proxy or managed marketplace?

Apache APISIX vs Unify — best-model selection vs policy enforcement?

Apache APISIX vs Orq — orchestration vs egress?

Try ShareAI next

Higress Alternatives 2026: Top 10 Picks

What Higress is (and isn’t)

Aggregators vs Gateways vs Agent Platforms

How we evaluated the best Higress alternatives

Top 10 Higress alternatives

#1 — ShareAI (People-Powered AI API)

#2 — Kong AI Gateway

#3 — Portkey

#4 — OpenRouter

#5 — Eden AI

#6 — LiteLLM

#7 — Unify

#8 — Orq AI

#9 — Apigee (with LLMs behind it)

#10 — NGINX

Higress vs ShareAI (which to choose?)

Quick comparison

Pricing & TCO: compare real costs (not just unit prices)

Migration guide: moving to ShareAI

From Higress

From OpenRouter

From LiteLLM

From Unify / Portkey / Orq / Kong

Developer quickstart (copy-paste)

Security, privacy & compliance checklist (vendor-agnostic)

FAQ — Higress vs other competitors (and when ShareAI fits)

Higress vs ShareAI — which for multi-provider routing?

Higress vs Kong — two AI gateways?

Higress vs Traefik — thin AI layer or Istio/Envoy stack?

Higress vs Apache APISIX — Envoy vs NGINX/Lua

Higress vs NGINX — DIY vs turnkey AI gateway

Higress vs Apigee — AI egress vs API management

Higress vs Portkey — who’s stronger on guardrails?