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

Описание и применение

Автономный агент, работающий на Cloudflare Workers, использует LLM для принятия торговых решений, выполняет ордера на Coinbase и получает USDC через x402.

Задача

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

Результат

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.

Рабочий процесс

• 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.

Доказательства

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.

Источник

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

Источник