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Working x402 examples: pay-per-call APIs for AI agents — OpenAI-compatible LLM gateway, embeddings, web search, market data. USDC on Base, no API keys.

SubagentsRegistry oficial0 estrellas0 forksPythonMITActualizado yesterday
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/scrape402/x402-examples && cp x402-examples/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.
Casos de uso

Resumen de Subagents

# x402 examples — pay-per-call APIs for AI agents

Working examples for calling [x402](https://x402.org)-gated HTTP APIs: your agent
pays **USDC per request on Base** — no signup, no API keys, no subscription.

All examples run against **[x402.shizu.me](https://x402.shizu.me)** (77 live
endpoints, prices from $0.001/call): an **OpenAI-compatible LLM gateway**
(`/v1/chat/completions`, `/v1/embeddings`, `/v1/models`), web search, a code
sandbox, web scraping, live crypto/market data, verifiable randomness, and a
**prepaid off-chain metering rail** for high-frequency loops (100+ calls/min,
no per-call gas).

## How x402 works

1. **Call** any endpoint → the `HTTP 402` response carries signed USDC payment
   requirements (price, asset, recipient).
2. **Pay** — your x402 client signs the payment locally and retries automatically.
3. **Served** — settlement is on-chain; you are only charged when the call
   succeeds. Errors and 4xx never settle.

Fund a wallet with a few dollars of USDC on Base, export its private key, and
every example here just works.

## JavaScript

```bash
npm install x402-fetch viem
export X402_PRIVATE_KEY=0x...   # wallet holding USDC on Base
node js/chat.mjs
```

## Python

```bash
pip install x402 eth-account httpx
export X402_PRIVATE_KEY=0x...
python python/chat.py
```

## Examples

| File | What it shows |
|---|---|
| [`js/chat.mjs`](js/chat.mjs) | OpenAI-compatible chat completion, paid per call |
| [`js/search.mjs`](js/search.mjs) | Live web search without a search-API account |
| [`python/chat.py`](python/chat.py) | Chat completion via the Python x402 client |
| [`python/embeddings.py`](python/embeddings.py) | OpenAI-shape embeddings for RAG loops |
| [`python/metered_loop.py`](python/metered_loop.py) | Prepay once, then 100+ calls/min off-chain |

## Just looking?

Every route quotes its price on a free unpaid request:

```bash
curl -i https://x402.shizu.me/crypto        # → 402 + payment requirements
curl https://x402.shizu.me/llms.txt          # full catalog, agent-readable
```

## Links

Live service: https://x402.shizu.me · OpenAPI: https://x402.shizu.me/openapi.json ·
MCP tools: https://x402.shizu.me/.well-known/mcp-tools · Contact: x402@opklaar.com

MIT licensed.
agentic-paymentsai-agentsbasellm-gatewaymcpmicropaymentsopenai-compatibleusdcweb-searchx402

Lo que la gente pregunta sobre x402-examples

¿Qué es scrape402/x402-examples?

+

scrape402/x402-examples es subagents para el ecosistema de Claude AI. Working x402 examples: pay-per-call APIs for AI agents — OpenAI-compatible LLM gateway, embeddings, web search, market data. USDC on Base, no API keys. Tiene 0 estrellas en GitHub y se actualizó por última vez yesterday.

¿Cómo se instala x402-examples?

+

Puedes instalar x402-examples clonando el repositorio (https://github.com/scrape402/x402-examples) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar scrape402/x402-examples?

+

scrape402/x402-examples aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.

¿Quién mantiene scrape402/x402-examples?

+

scrape402/x402-examples es mantenido por scrape402. La última actividad registrada en GitHub es de yesterday, con 0 issues abiertos.

¿Hay alternativas a x402-examples?

+

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

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