How I Built an Autonomous AI Agent That Earns USDC While I Sleep

说明与用途

在 Cloudflare Workers 上运行的自治代理使用小型 LLM 做出交易决策，在 Coinbase 上执行订单，并通过 x402 收取 USDC。

问题

Create a fully autonomous agent that can observe market data, decide on trades, execute them, and receive USDC payments without human intervention.

结果

The agent runs continuously, makes trading decisions based on LLM‑generated signals, executes trades, and receives USDC payments for each successful action, all while maintaining low operational costs and observability.

工作流

• 1. Deploy a Cloudflare Worker that runs every 5 minutes.
• 2. In the Worker, fetch the last 20 5‑minute candles from Coinbase public API.
• 3. Pass the recent candles to a small LLM (Llama‑3‑8B via Ollama) to generate a JSON signal {action,confidence}.
• 4. If action is buy or sell, use the Coinbase SDK to place a limit order with restricted API keys.
• 5. Attach an x402‑paid header to the HTTP response so the caller pays USDC before computation.
• 6. Log success/failure to Cloudflare Logpush, forward to Sentry and Grafana for observability.
• 7. Repeat the loop automatically.
• 8. Monitor metrics and intervene if anomalies occur.

证据

All components run inside a single Worker script for simplicity; in production you could split them into separate services behind a durable object or a queue.

来源

x402 lets us attach a micropayment header to every HTTP request; the caller pays before we compute the response.

来源