agentapi

name	agentapi
description	Browse and search the AgentAPI directory - a curated database of APIs designed for AI agents. Find MCP-compatible APIs for search, AI, communication, databases, payments, and more. Includes free directory access and optional x402 pay-per-use APIs.
author	gizmolab
version	1.0.7
tags	["api","mcp","agents","directory","search","integrations","x402"]
homepage	https://agentapihub.com
source	https://github.com/gizmolab/agentapi

AgentAPI

A curated directory of APIs designed for AI agents. Machine-readable. MCP-compatible. Agent-accessible.

Website: https://agentapihub.com
Docs: https://api.agentapihub.com/api/docs

Free Features

The directory and search functionality is completely free:

# Browse all APIs (FREE)
curl https://agentapihub.com/api/v1/apis

# Search by capability (FREE)
curl "https://agentapihub.com/api/v1/apis?q=send+email&mcp=true"

# Filter by category (FREE)
curl "https://agentapihub.com/api/v1/apis?category=ai"

x402 Pay-Per-Use APIs

Some APIs are available through x402 — a pay-per-use protocol using USDC on Base chain.

Available x402 APIs

API	Endpoint	Approx. Price
Gemini Chat	/api/gemini/chat/completions	~$0.001/req
Gemini Embeddings	/api/gemini/embeddings	~$0.0005/req

How x402 Works

1. Call the API endpoint
2. Receive 402 Payment Required with price details
3. Send USDC payment on Base chain
4. Retry request with payment proof
5. Receive API response

⚠️ Important Safety Notice

x402 payments require explicit setup and should not be automated without safeguards:

• Wallet required: You must configure a wallet with USDC on Base
• User approval recommended: Implement confirmation flows before any payment
• Verify recipient: The payment recipient is 0xcCb92A101347406ed140b18C4Ed27276844CD9D7 (gizmolab.eth)
• Set spending limits: Configure maximum per-request and daily limits
• This skill does not auto-execute payments — it provides documentation only

For implementation details, see: https://api.agentapihub.com/api/docs

Directory Categories

Category	APIs	Example
Search	Brave, Serper, Exa, Tavily, Perplexity	Web search with AI summaries
AI & ML	OpenAI, Claude, Gemini, Groq, Replicate	LLM inference, image gen
Communication	Resend, Twilio, Slack, Discord, Telegram	Email, SMS, messaging
Database	Supabase, Pinecone, Qdrant, Neon, Upstash	SQL, vectors, KV store
Payments	Stripe, Lemon Squeezy, PayPal	Payment processing
Scraping	Firecrawl, Browserbase, Apify	Web scraping, automation
Developer	GitHub, Vercel, Linear, Sentry	Code, deploy, issues
Productivity	Notion, Google Calendar, Todoist	Tasks, scheduling

MCP-Compatible APIs

All 50+ APIs in the directory are MCP-compatible. Filter with ?mcp=true.

API Response Format

{
  "id": "resend",
  "name": "Resend",
  "description": "Modern email API for developers",
  "category": "communication",
  "provider": "Resend",
  "docs": "https://resend.com/docs",
  "auth": "api_key",
  "pricing": "freemium",
  "pricingDetails": "3,000 free/mo, then $20/mo",
  "rateLimit": "10 req/sec",
  "mcpCompatible": true,
  "x402Enabled": false,
  "tags": ["email", "transactional", 

Top APIs by Category

Search

• Brave Search - Privacy-focused, 2k free/mo
• Exa - Neural/semantic search for AI
• Tavily - Built specifically for AI agents

AI & ML

• OpenAI - GPT-4, DALL-E, Whisper
• Anthropic Claude - Best for reasoning/coding
• Groq - Fastest inference (500+ tok/sec)

Communication

• Resend - Simple email API, 3k free/mo
• Twilio - SMS/voice, industry standard
• Slack/Discord/Telegram - Team messaging

Database

• Supabase - Postgres + auth + storage
• Pinecone/Qdrant - Vector DBs for RAG
• Upstash - Serverless Redis

Usage Examples

# Find an API for sending emails
Search AgentAPI for "email" → Returns Resend, SendGrid, Twilio

# Find vector databases for RAG
Search AgentAPI for "vector embeddings" → Returns Pinecone, Qdrant, Weaviate

# Find fast LLM inference
Search AgentAPI for category "ai" + filter by latency → Returns Groq, Gemini Flash

Contributing

Submit new APIs at https://agentapihub.com (Submit API link in footer).

Built By

GizmoLab (@gizmolab_) — gizmolab.io