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Install in OpenClaw
/install 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, databas...
README (SKILL.md)
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
- Call the API endpoint
- Receive
402 Payment Requiredwith price details - Send USDC payment on Base chain
- Retry request with payment proof
- 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", "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
# 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
Usage Guidance
This appears to be a benign, read-only directory for discovering APIs. Before installing: 1) Note the documented x402 pay-per-use flow — this skill only documents payments and does not perform them, but do NOT give any agent or skill access to your wallet/private keys unless you trust it and have explicit confirmation flows and strict spending limits. 2) Verify any recipient addresses yourself (the README lists 0xcCb92A... as gizmolab.eth). 3) If you intend to allow automated payments in other tooling, implement user confirmations and per-request/daily caps. 4) If you need offline or private API discovery, review the public endpoints the skill points to and confirm they meet your privacy/compliance needs.
Capability Analysis
Type: OpenClaw Skill
Name: agentapi
Version: 1.0.8
The skill bundle primarily consists of documentation and examples for interacting with the AgentAPI directory. The `SKILL.md` file provides `curl` commands for browsing and searching the API, which are read-only GET requests and do not pose an immediate risk. Crucially, the skill explicitly states, 'This skill does not auto-execute payments — it provides documentation only,' mitigating any potential prompt injection risk related to the described x402 payment protocol. There is no evidence of malicious intent, data exfiltration, unauthorized command execution, or manipulative prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description match the SKILL.md. The content is a read-only, machine-readable directory and search reference for APIs, with example curl calls to public endpoints on agentapihub.com. There are no unexpected dependencies, credentials, or binaries requested.
Instruction Scope
Instructions limit themselves to browsing/searching the public directory and showing the x402 payment flow. The SKILL.md includes a payment recipient address and warns not to automate payments; it does not instruct the agent to read local files, environment variables, or to transmit unrelated data. Caution: if you later grant an agent wallet access (outside this skill), the documented payment flow could be acted upon by other skills or tooling.
Install Mechanism
No install spec and no code files — this is instruction-only, so nothing is written to disk and no third-party packages are installed.
Credentials
The skill declares no required environment variables or credentials. The only resources referenced are public API URLs and a payment address; the SKILL.md's mention of a wallet is advisory and not a required credential of the skill itself.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges. It does not attempt to modify other skills or system configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agentapi - After installation, invoke the skill by name or use
/agentapi - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.8
Added x402 badges and filter to website
v1.0.7
Free directory + x402 APIs with proper safety documentation
v1.0.6
Safety update: removed payment instructions, now documentation-only
v1.0.5
x402 billing + GizmoLab branding
v1.0.4
x402 billing + GizmoLab branding
v1.0.3
Added x402 pay-per-use billing documentation
v1.0.2
Updated branding to GizmoLab
v1.0.1
Updated domain to agentapihub.com
v1.0.0
Initial release - API directory for AI agents
Metadata
Frequently Asked Questions
What is AgentAPI?
Browse and search the AgentAPI directory - a curated database of APIs designed for AI agents. Find MCP-compatible APIs for search, AI, communication, databas... It is an AI Agent Skill for Claude Code / OpenClaw, with 1131 downloads so far.
How do I install AgentAPI?
Run "/install agentapi" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AgentAPI free?
Yes, AgentAPI is completely free (open-source). You can download, install and use it at no cost.
Which platforms does AgentAPI support?
AgentAPI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AgentAPI?
It is built and maintained by Gizmolab (@gizmo-dev); the current version is v1.0.8.
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