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

说明与用途

构建了一个在 Base 上的自治 AI 服务，使用 x402 接收 USDC 支付，利用 LangChain 处理请求，并将收益转入钱包。

问题

Develop a self‑serving micro‑service that accepts instant USDC payments on Base, processes requests via an LLM, and forwards profits to a wallet.

结果

Implemented a continuous, payment‑validated AI micro‑service that earns a few USDC per call, demonstrating the integration of on‑chain payments with LLM tooling.

工作流

• 1. Create a FastAPI app exposing desired endpoints (e.g., /summarize).
• 2. Wrap each endpoint with x402 middleware to validate USDC payment via X‑Payment‑Header.
• 3. Deploy a payment watcher that scans Base for incoming USDC to the escrow address, confirms amounts, and pushes jobs to a Redis queue.
• 4. Build an Agent Core using LangChain: define tools (e.g., URLSummarizer), initialize the agent with a model (gpt‑4o‑mini), and set up prompt handling.
• 5. Consume jobs from the queue, run the appropriate tool via the agent, and return the result to the HTTP caller.
• 6. Run all components in a single Docker‑Compose file for development; separate services for production.
• 7. Monitor logs, handle retries, and forward net profit to the owner’s wallet.

证据

The agent runs continuously, watches for incoming payments, fulfills the request, and forwards the net profit to a wallet you control.

来源

I used the open‑source x402-py middleware (a thin wrapper around FastAPI) to verify that the caller has sent enough USDC to cover the price before the request reaches my route.

来源