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

说明与用途

构建了一个自主 AI 代理，使用 x402 接收 USDC 支付，执行 LLM 任务，并在 Base L2 上结算，全部在单个 Docker 容器中运行。

问题

Developers struggle to monetize LLM‑driven agents because inference costs outweigh revenue unless wrapped in a paid API. The goal was to create a minimal, self‑contained agent that earns stablecoin payments for each useful action, demonstrating payment‑driven autonomy.

结果

The agent processes paid requests autonomously, earning USDC per task, with minimal infrastructure and low operational cost.

工作流

• 1. Expose HTTP endpoints with declared USDC prices via x402 headers.
• 2. Caller signs payment proof and sends request.
• 3. Payment handler verifies signature, amount, token, chain, and nonce.
• 4. On success, agent core pulls task, runs LLM, performs side‑effects, returns result.
• 5. Payment handler mints receipt and transfers USDC to agent wallet.
• 6. Persist task IDs, nonces, and memory in SQLite/PostgreSQL.
• 7. Log structured JSON and expose Prometheus metrics for observability.

证据

The whole system runs as a single Docker container (≈150 MB) on a cheap VPS; the only external dependency is a Base RPC endpoint.

来源

We verify the signature against the caller’s Ethereum address and check that the amount matches the endpoint’s price.

来源