Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
5,027,951 AI resources indexedWorking toward the world’s largest AI resource index.
An MCP server that provides on-demand skill loading for AI coding assistants.
---
name: agentapi-6fe1e846fbe0
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 x402 pay-per-use billing with USDC on Base.
author: gizmolab
version: 1.0.3
tags: [api, mcp, agents, directory, search, integrations, x402, crypto, payments]
---
# AgentAPI
A curated directory of APIs designed for AI agents. Machine-readable. MCP-compatible. Agent-accessible.
**Website:** https://agentapihub.com
**Billing API:** https://api.agentapihub.com
**Docs:** https://api.agentapihub.com/api/docs
## x402 Pay-Per-Use Billing
AgentAPI supports **x402** — a payment protocol that lets AI agents pay for API calls with USDC on Base. No API keys required.
### How It Works
1. Agent calls API endpoint (e.g., `/api/gemini/chat/completions`)
2. Server returns `402 Payment Required` with price + wallet address
3. Agent sends USDC payment on Base chain
4. Agent retries with payment proof in header
5. Server verifies payment, proxies request, returns response
### Example Flow
```bash
# 1. Initial request returns 402
curl https://api.agentapihub.com/api/gemini/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"gemini-2.0-flash","messages":[{"role":"user","content":"Hello"}]}'
# Response: 402 Payment Required
# {
# "price": "0.001",
# "currency": "USDC",
# "chain": "base",
# "recipient": "0xcCb92A101347406ed140b18C4Ed27276844CD9D7",
# "paymentId": "pay_abc123"
# }
# 2. Agent pays on Base, retries with proof
curl https://api.agentapihub.com/api/gemini/chat/completions \
-H "Content-Type: application/json" \
-H "X-Payment-Proof: 0x..." \
-d '{"model":"gemini-2.0-flash","messages":[{"role":"user","content":"Hello"}]}'
```
### Available x402 APIs
| API | Endpoint | Price |
|-----|----------|-------|
| Gemini Chat | `/api/gemini/chat/completions` | ~$0.001/req |
| Gemini Embeddings | `/api/gemini/embeddings` | ~$0.0005/req |
### Why x402?
- **No API keys** — Agents self-provision access
- **Pay-per-use** — No subscriptions, no minimums
- **Crypto-native** — USDC on Base (fast, cheap txns)
- **Agent-friendly** — Programmatic payments without human bottleneck
## Quick Search
### By Category
| 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 Access
### JSON Endpoint
```bash
# Fetch all APIs
curl https://agentapihub.com/api/v1/apis
# Search by capability
curl "https://agentapihub.com/api/v1/apis?q=send+email&mcp=true"
# Filter by category
curl "https://agentapihub.com/api/v1/apis?category=ai"
```
### Response Format
```json
{
"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,
"examplePrompt": "Send an email notification using Resend",
"latency": "fast",
"reliability": 99.9,
"tags": ["email", "transactional", "notifications"]
}
```
## 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
```markdown
# 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_](https://twitter.com/gizmolab_)) — [gizmolab.io](https://gizmolab.io)
---
name: agentapi-6fe1e846fbe0
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 x402 pay-per-use billing with USDC on Base.
author: gizmolab
version: 1.0.3
tags: [api, mcp, agents, directory, search, integrations, x402, crypto, payments]
---
# AgentAPI
A curated directory of APIs designed for AI agents. Machine-readable. MCP-compatible. Agent-accessible.
**Website:** https://agentapihub.com
**Billing API:** https://api.agentapihub.com
**Docs:** https://api.agentapihub.com/api/docs
## x402 Pay-Per-Use Billing
AgentAPI supports **x402** — a payment protocol that lets AI agents pay for API calls with USDC on Base. No API keys required.
### How It Works
1. Agent calls API endpoint (e.g., `/api/gemini/chat/completions`)
2. Server returns `402 Payment Required` with price + wallet address
3. Agent sends USDC payment on Base chain
4. Agent retries with payment proof in header
5. Server verifies payment, proxies request, returns response
### Example Flow
```bash
# 1. Initial request returns 402
curl https://api.agentapihub.com/api/gemini/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"gemini-2.0-flash","messages":[{"role":"user","content":"Hello"}]}'
# Response: 402 Payment Required
# {
# "price": "0.001",
# "currency": "USDC",
# "chain": "base",
# "recipient": "0xcCb92A101347406ed140b18C4Ed27276844CD9D7",
# "paymentId": "pay_abc123"
# }
# 2. Agent pays on Base, retries with proof
curl https://api.agentapihub.com/api/gemini/chat/completions \
-H "Content-Type: application/json" \
-H "X-Payment-Proof: 0x..." \
-d '{"model":"gemini-2.0-flash","messages":[{"role":"user","content":"Hello"}]}'
```
### Available x402 APIs
| API | Endpoint | Price |
|-----|----------|-------|
| Gemini Chat | `/api/gemini/chat/completions` | ~$0.001/req |
| Gemini Embeddings | `/api/gemini/embeddings` | ~$0.0005/req |
### Why x402?
- **No API keys** — Agents self-provision access
- **Pay-per-use** — No subscriptions, no minimums
- **Crypto-native** — USDC on Base (fast, cheap txns)
- **Agent-friendly** — Programmatic payments without human bottleneck
## Quick Search
### By Category
| 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 Access
### JSON Endpoint
```bash
# Fetch all APIs
curl https://agentapihub.com/api/v1/apis
# Search by capability
curl "https://agentapihub.com/api/v1/apis?q=send+email&mcp=true"
# Filter by category
curl "https://agentapihub.com/api/v1/apis?category=ai"
```
### Response Format
```json
{
"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,
"examplePrompt": "Send an email notification using Resend",
"latency": "fast",
"reliability": 99.9,
"tags": ["email", "transactional", "notifications"]
}
```
## 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
```markdown
# 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_](https://twitter.com/gizmolab_)) — [gizmolab.io](https://gizmolab.io)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.