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# ShareAI: The People-Powered AI API

## Sitemaps
[XML Sitemap](https://shareai.now/sitemap_index.xml): Includes all crawlable and indexable pages.

## Blogs
- [Open-Source AI Gateway vs Marketplace API: What Builders Should Choose](https://shareai.now/blog/developers/open-source-ai-gateway-vs-marketplace-api/): Compare open-source AI gateway architecture with ShareAI’s marketplace API for routing, billing, failover, and Builder monetization.
- [AI Lifetime Deal Pricing: Structure Usage Without Margin Risk](https://shareai.now/blog/insights/ai-lifetime-deal-pricing/): AI lifetime deal pricing guide for SaaS founders who want to protect margins by separating lifetime access from metered AI usage, top-ups, BYOK, and ShareAI-routed usage.
- [Claude Fable 5 API: When to Use a Premium Frontier Model](https://shareai.now/blog/developers/claude-fable-5-api-routing/): Claude Fable 5 is a premium model for long, difficult AI work. Learn when to use it, when to route elsewhere, and how ShareAI helps control cost.
- [Vertical Software AI Monetization: Price Usage by Workflow](https://shareai.now/blog/insights/vertical-software-ai-monetization/): Vertical software AI monetization helps product and internal platform teams price AI usage by customer, department, workspace, or workflow with ShareAI Builder.
- [OpenRouter vs Portkey: Model Access or Gateway Control?](https://shareai.now/blog/insights/openrouter-vs-portkey-ai-gateway-comparison/): Compare OpenRouter vs Portkey by model access, gateway controls, pricing, observability, guardrails, deployment, and when ShareAI is the simpler model-access layer.
- [AI Credits vs Lifetime Access: A SaaS Founder Guide](https://shareai.now/blog/insights/ai-credits-vs-lifetime-access/): A practical guide to separating lifetime app access from metered AI usage, credits, top-ups, BYOK, and ShareAI-routed usage for LTD software.
- [Token Compression for LLMs: Cut Context Cost Before Routing](https://shareai.now/blog/insights/token-compression-for-llms/): Token compression helps teams remove noisy context before model calls, lowering cost and improving routing decisions without hiding quality trade-offs.
- [AI Lifetime Deal Monetization: How to Keep LTDs Sustainable](https://shareai.now/blog/insights/ai-lifetime-deal-monetization/): AI lifetime deal monetization works best when founders separate lifetime software access from metered AI usage, credits, top-ups, and customer-paid routed inference.
- [AI Agent Evaluation for Builders: Test Before You Monetize](https://shareai.now/blog/developers/ai-agent-evaluation-builders/): AI agent evaluation helps Builders test quality, cost, latency, tool use, and fallback behavior before monetizing routed agent usage from existing apps.
- [Helicone vs LiteLLM: Routing and Observability Trade-Offs](https://shareai.now/blog/insights/helicone-vs-litellm-routing-observability/): Compare Helicone vs LiteLLM by observability, routing, self-hosting, budgets, reliability, and where ShareAI fits for hosted multi-model access.
- [AppSumo AI Tools: Why Credits, Top-Ups, and BYOK Are Normal](https://shareai.now/blog/insights/appsumo-ai-tools/): AI-heavy lifetime deals need a different pricing pattern. Learn how credits, top-ups, BYOK, and ShareAI-routed usage help AppSumo-style tools stay sustainable.
- [MANGOS Alternative 2026: ShareAI and the Agentic AI Economy](https://shareai.now/blog/alternatives/mangos-alternative-agentic-ai-economy/): A MANGOS alternative for the agentic era: ShareAI gives Builders, Providers, and Creators a clearer way to participate in AI inference economics.
- [Claude Mythos 5: Now Supported on ShareAI](https://shareai.now/blog/news/claude-mythos-5-shareai/): Claude Mythos 5 is now supported on ShareAI for eligible access, routing, and Builder monetization workflows.
- [7 Best LLM Observability Tools for Production AI Apps in 2026](https://shareai.now/blog/developers/best-llm-observability-tools/): Compare the best LLM observability tools for production AI apps, including SigNoz, Langfuse, LangSmith, Helicone, Phoenix, WhyLabs, and PromptLayer.
- [Claude Code Security: A Practical Governance Checklist for AI Coding Agents](https://shareai.now/blog/developers/claude-code-security-governance-checklist/): A practical Claude Code security checklist for teams governing AI coding agents, MCP tools, model access, audit logs, spend controls, and Builder-owned apps.
- [AI Agent Harness: The Runtime Layer Production Agents Need](https://shareai.now/blog/developers/ai-agent-harness-production-runtime/): A practical guide to the AI agent harness layer: runtime control, tool governance, routing, observability, and how ShareAI fits.
- [ShareAI Creator Program: Earn From the Models You Built](https://shareai.now/blog/news/shareai-creator-program-ai-model-monetization/): The ShareAI Creator Program helps model creators earn from open, rented, sold, or private type models in the ShareAI network.
- [LiteLLM Pricing: What Self-Hosted AI Gateways Really Cost](https://shareai.now/blog/developers/litellm-pricing-self-hosted-ai-gateway-cost/): LiteLLM pricing starts with free software, but production teams still pay for infrastructure, monitoring, support, routing, and billing work.
- [LLM Tracing at the AI Gateway: See Every Model Call](https://shareai.now/blog/developers/llm-tracing-ai-gateway/): LLM tracing helps teams see model calls, latency, token usage, errors, and evaluation data from one gateway layer.
- [Anthropic Alternatives: Best Options vs ShareAI](https://shareai.now/blog/alternatives/anthropic-alternatives/): If you’re comparing Anthropic alternatives—or scanning for Anthropic competitors—this guide lays out your choices like an engineer, not an ad. We’ll clarify what Anthropic covers, explain where aggregators fit, then compare the best alternatives—placing ShareAI first for teams that want one API across many providers, transparent marketplace data, smart routing/failover, real observability, and people-powered economics where idle GPU/server “dead time” gets paid instead of wasted.
- [OpenAI Alternatives: Top 12](https://shareai.now/blog/alternatives/openai-alternatives/): If you’re evaluating OpenAI alternatives, this guide maps the landscape the way a builder would. We start by clarifying where OpenAI fits—frontier models with a proprietary API—then compare the 12 best OpenAI alternatives across model quality, reliability, governance, and total cost. 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).
- [Top 15 DePIN Projects in 2025: The Future of Decentralized Infrastructure](https://shareai.now/blog/case-studies/depin-projects-2025/): Along the way we’ll naturally target “DePIN projects 2025” (primary), plus decentralized infrastructure network, DePIN crypto, blockchain infrastructure network, and DePIN GPU mining.
- [GPU Passive Income: Earn $500–$1,000/Month with Your RTX 4090 (2025 Guide)](https://shareai.now/blog/insights/gpu-passive-income-rtx-4090-2025/): You built or bought a powerful GPU rig — now make it pay for itself. In 2025, GPU passive income is shifting from classic crypto mining toward AI/LLM inference, training bursts, and rendering. In this guide, you’ll learn why the switch is happening, how European data-center constraints amplify demand for decentralized GPUs, what you can realistically earn with an RTX 4090 (and 5090), how to monetize GPU dead-time with ShareAI, and how to start in 3 steps.
- [Cut Your Inference Bill: How ShareAI does inference cost reduction](https://shareai.now/blog/case-studies/reduce-inference-costs/): Big pictureEffective inference cost reduction = monitoring + optimization + governance, with open-source tools for transparency and flexibility. The goal isn’t just cutting spend—it’s maximizing ROI while staying scalable and secure as usage grows.
- [15 Passive Income Ideas: How ShareAI Turns Idle Compute into Earnings](https://shareai.now/blog/alternatives/passive-income-ideas/): If you’re hunting for passive income ideas, this guide ranks what’s realistic today—and shows how ShareAI lets you turn idle GPUs/CPUs into AI passive income by hosting model endpoints that other builders can call. We’ll compare effort, startup costs, and time-to-first-dollar, then deep-dive into the ShareAI route with a practical FAQ.
- [Best Open Source Text Generation Models](https://shareai.now/blog/alternatives/best-open-source-text-generation-models/): If you want the best open source text generation models right now, start with compact, instruction-tuned releases for fast iteration and low cost, then scale up only when needed. For most teams:
- [We’re Live 🎉 – Meet ShareAI, the Global AI Engine Made of Us](https://shareai.now/blog/general/were-live-meet-shareai-the-global-ai-engine-made-of-us/): TL;DR – ShareAI is a decentralized layer that links every idle CPU/GPU running Ollama into one elastic super‑cluster. Share spare compute today, earn tokens, and—when your own traffic spikes—tap the network’s extra power. Think Airbnb for AI models: 70 % of every dollar spent goes right to the device owner powering your workload.
- [🌲 ShareAI × CODRU Festival 2025: More Forests, Fewer Servers](https://shareai.now/blog/general/shareai-codru-festival-2025-more-forests-fewer-servers/): We're thrilled to announce our official partnership with CODRU Festival 2025—a festival known for its commitment to nature, sustainability, and community. As AI adoption accelerates globally, our mission at ShareAI has never been clearer: to scale AI sustainably by reducing reliance on energy-intensive data centers and instead tapping into the unused computing power all around us.
- [Welcome OpenAI’s GPT-OSS to ShareAI](https://shareai.now/blog/general/welcome-gpt-oss-to-shareai/): Hours ago, OpenAI released its groundbreaking GPT-OSS models, and you can already start using them within the ShareAI network!
- [DeepSeek-V3.1 671B finally on ShareAI](https://shareai.now/blog/news/deepseek-v3-1-671b-finally-on-shareai/): The wait is over.Starting today, DeepSeek-V3.1 671B is live on ShareAI—built for providers with serious infrastructure who want to deliver frontier-grade inference to their customers.
- [EmbeddingGemma on ShareAI: 300M Multilingual Embeddings](https://shareai.now/blog/news/embeddinggemma-shareai-300m-embedding-model/): We’re announcing that EmbeddingGemma, Google’s compact open embedding model, is now available on ShareAI.
- [AI Gateway vs Vercel AI Gateway: Why ShareAI’s BYOI Wins](https://shareai.now/blog/insights/ai-gateway-vs-vercel-shareai/): AI Gateway is quickly becoming the missing layer between apps and a messy world of model vendors, keys, quotas, and outages. This guide explains what an AI gateway is, summarizes the Vercel AI Gateway, and shows how ShareAI’s open network, 70% provider payouts, and BYOI (Bring Your Own Infrastructure) with Priority over my Device create a different path for teams that need compliance, elasticity, and choice.
- [ShareAI at How to Web 2025 — with BRD – Groupe Société Générale’s Startup Showcase](https://shareai.now/blog/news/shareai-at-how-to-web-2025/): ShareAI at How to Web is official! We’re thrilled to attend How to Web Conference 2025 in Bucharest under the patronage of BRD – Groupe Société Générale and to meet every curious founder, builder, and investor onsite. The conference runs October 1–2 and gathers standout teams across the region.
- [Best Kong AI Alternatives 2026: Why ShareAI Is #1 (Real Options, Pricing & Migration Guide)](https://shareai.now/blog/alternatives/kong-ai-alternatives/): If you’re comparing Kong AI alternatives or scanning for Kong AI competitors, this guide maps the landscape like a builder would. We’ll clarify what people mean by “Kong AI” (either Kong’s AI Gateway or Kong.ai the agent/chatbot product), define where LLM aggregators fit, then compare the best alternatives—placing ShareAI first for teams that want one API across many providers, a transparent marketplace, smart routing/failover, and fair economics that send 70% of spend back to GPU providers. The People‑Powered AI API.
- [Best LiteLLM Alternatives 2026: Why ShareAI Is #1](https://shareai.now/blog/alternatives/best-litellm-alternatives-why-shareai-is-1-real-options-pricing-migration-guide/): If you’ve tried a lightweight proxy and now need transparent pricing, multi-provider resilience, and lower ops overhead, you’re likely searching for LiteLLM alternatives. This guide compares the tools teams actually evaluate—ShareAI (yes, is #1 pick), Eden AI, Portkey, Kong AI Gateway, ORQ AI, Unify, and OpenRouter—and explains when each fits. We cover evaluation criteria, pricing/TCO, and a quick migration plan from LiteLLM → ShareAI with copy-paste API examples.
- [Best OpenRouter Alternatives 2026](https://shareai.now/blog/alternatives/openrouter-alternatives/): Updated
- [Eden AI Alternatives 2026: ShareAI vs OpenRouter, Portkey, Kong AI, Unify, Orq & LiteLLM](https://shareai.now/blog/alternatives/eden-ai-alternatives/): Updated
- [Best Moonshot AI Kimi K2.5 alternatives for startups & developers in 2026 (and how to swap models fast with one ShareAI gateway)](https://shareai.now/blog/alternatives/kimi-k2-5-alternatives/): Moonshot AI’s Kimi K2.5 is one of those releases that instantly changes the vibe in open models: multimodal, agentic, long-context, and genuinely useful for “real work” workflows. If you’re researching Kimi K2.5 alternatives, you’re probably not questioning its power—you’re questioning fit.
- [Why OpenAI-Compatible APIs Are the New Standard (and How ShareAI Adds BYOI)](https://shareai.now/blog/alternatives/openai-compatible-apis-shareai-byoi/): If your product relies on OpenAI’s API, an outage can ripple straight to users and revenue. Even short downtimes can block core features like chat or text generation. Here’s why OpenAI-compatible APIs became the default—and how ShareAI lets you benefit from that standard while also enrolling your own hardware (BYOI) out of the box.
- [ShareAI Automatic Failover: Same-Model Routing + BYOI for Zero-Downtime AI](https://shareai.now/blog/alternatives/shareai-automatic-failover-byoi/): When an AI provider blips, your users shouldn’t. ShareAI automatic failover keeps requests flowing by routing to the same model across multiple providers—so the experience stays consistent and you don’t ship emergency patches. You can also BYOI (Bring Your Own Infrastructure) to run private endpoints as your default or as a private fallback tier.
- [What to Do When the OpenAI API Goes Down: A Resilience Playbook for Builders](https://shareai.now/blog/alternatives/openai-api-outage-playbook/): When your product leans on a single AI provider, an outage can freeze core features and impact revenue. The fix isn’t “hope it won’t happen again”—it’s engineering your stack so a provider hiccup becomes a routing decision, not an incident. This hands-on guide shows how to prepare for an OpenAI API outage with proactive monitoring, automatic failover, multi-provider orchestration, caching, batching, and clear comms—plus where ShareAI fits in.
- [Best EUrouter Alternatives 2026](https://shareai.now/blog/alternatives/eurouter-alternatives/): If you are searching for EUrouter alternatives, you are probably not looking to replace the idea of a European AI gateway. You are trying to find a better fit for your stack on one or more of these points: total cost, routing control, observability, self-hosting, model breadth, or infrastructure ownership.
- [Top 5 OpenRouter Alternatives in Europe 2026](https://shareai.now/blog/alternatives/openrouter-alternatives-europe/): Updated
- [OpenCode AI Gateway: Connect Multiple LLMs Through One API](https://shareai.now/blog/developers/opencode-ai-gateway/): Use ShareAI as an OpenCode AI gateway so one API key can reach multiple LLMs with simpler switching, routing, and failover.
- [Codex AI Gateway: Smarter Routing for Coding Workflows](https://shareai.now/blog/developers/codex-ai-gateway/): Codex AI gateway guide: where multi-model routing fits, where it does not, and how to use ShareAI in OpenAI-compatible coding workflows.
- [Best LLM Routers in 2026: Compare the Practical Trade-Offs](https://shareai.now/blog/developers/best-llm-routers/): Best LLM routers in 2026 compared by routing depth, fallback, deployment model, and where ShareAI fits best.
- [Reduce AI Development Costs After GitHub Copilot Pricing Changes](https://shareai.now/blog/developers/reduce-ai-development-costs-github-copilot-pricing/): GitHub Copilot's June 1, 2026 shift to usage-based billing makes AI coding spend a real engineering cost. This guide explains how to reduce AI development costs with smarter routing, escalation rules, and token discipline.
- [Lilac AI Inference: Warm Serverless Models and Routing Trade-Offs](https://shareai.now/blog/developers/lilac-ai-inference-warm-serverless-models-routing/): Lilac AI inference shows why warm serverless endpoints, token pricing, and OpenAI-compatible APIs matter when teams route model traffic.
- [Reduce LLM API Costs With Smart Routing: A Practical Guide](https://shareai.now/blog/developers/reduce-llm-api-costs-smart-routing/): Learn how smart routing, prompt caching, provider fallbacks, and batch processing can reduce LLM API costs without flattening quality.
- [Qwen3-30B-A3B-Instruct: New model on ShareAI](https://shareai.now/blog/alternatives/qwen3-30b-a3b-instruct/): We’re excited to add qwen3-30B-A3B-Instruct to the ShareAI model list—an instruction-tuned, Mixture-of-Experts 30B model with a long context window and strong upgrades in instruction following, reasoning, coding, and tool use.

## Pages
- [Docs](https://shareai.now/docs/)
- [Support](https://shareai.now/support/): Support & leadership
- [ShareAI Builder Challenge — Win €3,000 in AI Credits + Get Early Access to ShareAI Connect](https://shareai.now/shareai-2026-builder-challenge/): Δ
- [Talk with Sales](https://shareai.now/talk-with-sales/): You’re not locked into any provider. ShareAI routes your calls to the best available open model through one API. You can see all our available models from the marketplace here
- [Releases](https://shareai.now/releases/)
- [Blog](https://shareai.now/blog/)
- [Documentation](https://shareai.now/documentation/): Monitor usage, track output, and manage API keys in one place.
- [Models](https://shareai.now/models/)
- [ShareAI](https://shareai.now/): Run any open‑source LLM through a single REST endpoint—our decentralized grid scales instantly, you pay only for the tokens you use, and 70% of every dollar goes straight to the GPUs that keep your models online.

## Listing Items/Components
- [FAQ Repeater Design](https://shareai.now/?jet-engine=faq-repeater-design)
- [Features Repeater Design](https://shareai.now/?jet-engine=features-repeater-design)
- [Homepage Latest Blog Listing](https://shareai.now/?jet-engine=shareai-2): Continue Reading
- [Similar Blogs](https://shareai.now/?jet-engine=similar-blogs): Continue Reading
- [Release Listing Gird](https://shareai.now/?jet-engine=changelog-listing-grid): Read the full Release Note
- [Blog Archive](https://shareai.now/?jet-engine=shareai): Continue Reading
- [AI Model Listing Grid](https://shareai.now/?jet-engine=ai-model-listing-grid)

## For
- [WordPress Developers](https://shareai.now/for/wordpress-developers/)
- [Vibecoders](https://shareai.now/for/vibecoders/)
- [WordPress Theme Owners](https://shareai.now/for/wordpress-theme-owners/)
- [WordPress Plugin Owners](https://shareai.now/for/wordpress-plugin-owners/)
- [Hosting Companies & Resellers](https://shareai.now/for/hosting/)
- [Agencies & Consultants](https://shareai.now/for/agencies/)
- [Internal Tools & Automations](https://shareai.now/for/internal-tools-automations/)
- [AI for SaaS](https://shareai.now/for/saas-software/)

## Documentation
- [Overview](https://shareai.now/docs/about-shareai/console/glance/): The ShareAI Console (console.shareai.now) provides centralized access to manage your interactions within the ShareAI decentralized network, enabling easy access to computing resources.
- [How to Become a Provider](https://shareai.now/docs/provider/provider-onboarding/how-to-become-a-provider/): To join the ShareAI network as a provider, you must meet all of the following conditions:
- [Get started with Uncanny Automator](https://shareai.now/docs/integrations/wordpress/uncanny-automator/get-started-with-uncanny-automator/): Integrating ShareAI with Uncanny Automator enables you to leverage powerful AI actions directly in your workflows. Follow the easy steps below to get started.
- [Priority over my Device](https://shareai.now/docs/about-shareai/prosumer/priority-over-my-device/): The "Priority over my Device" setting allows you to control how ShareAI routes inference requests for each API key — choosing between prioritizing your own devices or using the community network first.
- [Device Requirements](https://shareai.now/docs/provider/troubleshoot/device-requirements/): The ShareAI application automatically recommends which AI models are suitable for sharing based on your device's GPU VRAM. To help you maximize your contribution while ensuring optimal performance, we use two types of requirements:
- [Getting Started with ShareAI API](https://shareai.now/docs/api/using-the-api/getting-started-with-shareai-api/): This guide provides quick-start instructions for using the ShareAI decentralized network API, helping you set up and make your first requests effectively.
- [Contribution Settings](https://shareai.now/docs/about-shareai/prosumer/contribution-settings/): The ShareAI Network enables users to seamlessly manage contributions to non-profit organizations (NGOs) directly through the Contribution Settings page. This feature allows flexible allocation of generated tokens to support causes that matter most to each user.
- [API Key Management](https://shareai.now/docs/about-shareai/console/api-key-management/): API keys allow secure programmatic access to the ShareAI decentralized network. Follow these simple steps to generate and manage your API keys using the ShareAI Console.
- [Adding a New AI Model (LLM) onto Your Device](https://shareai.now/docs/provider/manage-application/adding-a-new-ai-model-llm-onto-your-device/): ShareAI supports multiple ways to add new Large Language Models (LLMs) to your device. In this guide, we'll specifically cover how to add a new model using the ShareAI application interface.
- [Local AI Models (LLMs)](https://shareai.now/docs/provider/manage-application/local-ai-models-llms/): The AI Models (LLMs) page allows you to manage and configure the AI models stored locally on your device. Here, you can choose which models you make available for sharing, check token balances, and remove models you no longer need.
- [Overview](https://shareai.now/docs/provider/manage-application/overview/): The ShareAI Applications enables you to seamlessly share your device/s resources and contribute to a decentralized AI network. This guide explains how to use the ShareAI app effectively.
- [Installing ShareAI on Windows](https://shareai.now/docs/provider/install/installing-shareai-on-windows/): This guide walks you through setting up the ShareAI Windows App in just a few simple steps.

## Release
- [v0.0.4](https://shareai.now/release/v0-0-4/): Release Date: August 21, 2025
- [v0.0.3](https://shareai.now/release/v0-0-3/): We’re building toward something big. But before that, we had to fix a few things.0.0.3 is our most foundational release yet.It tackles the weakest parts of the network — and flips them into strengths.
- [v0.0.2](https://shareai.now/release/v0-0-2/): We're thrilled to announce the latest updates to ShareAI, featuring powerful enhancements designed to elevate your experience!
- [v0.0.1](https://shareai.now/release/v0-0-1/): Release Date: May 16, 2025
- [Public Beta Release](https://shareai.now/release/public-beta-relase/): Release Date: May 2025 (Public Beta)