APIPark Alternatives 2025: Top 10 APIPark Alternatives

Updated November 2025

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).

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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.

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 · 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.

• Provider Guide
• Provider Dashboard
• Rewards Overview
• Exchange Overview
• Mission Contribution

#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

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