How I Built an Autonomous AI Agent That Earns USDC While I Sleep
Описание и применение
Автономный агент, использующий x402 для микроплатежей в USDC на Base, автоматически проверяет оплату, передаёт запросы в модель и возвращает результаты без хранения приватных ключей.
Задача
How to run a continuously paid microservice that performs AI inference while automatically settling payments on Base without custodial risk.
Результат
The agent can run continuously, earning USDC per request, with minimal latency and no custodial risk.
Рабочий процесс
- 1. Client sends HTTP request with Authorization: x402
<signed-payload>header. - 2. Agent extracts and decodes the base64url payload.
- 3. Agent verifies beneficiary, token, amount, expiry, and signature against the expected values.
- 4. Agent queries Base RPC for the transaction hash in the payload and checks confirmations and USDC amount.
- 5. If valid, Agent forwards request to the model worker (HuggingFace Transformers) and streams the inference result back.
- 6. If invalid, Agent returns 402 Payment Required with WWW‑Authenticate describing the required payment.
Доказательства
The verification is purely read‑only; no private keys are needed on the agent side.
Agent Service – a thin HTTP layer that validates the x402 payment header, forwards the request to a model worker, and returns the result.
- Дата записи: 2026-09-15T03:30:39.541Z