Autonomous AI Agent that Earns USDC While I Sleep

Описание и применение

Автономный агент, использующий Cloudflare Workers, LLM и протокол x402, автоматически собирает данные с веб‑страниц и получает USDC, обеспечивая собственные расходы.

Задача

Developers need a way to build autonomous agents that can perform routine web‑scraping tasks and monetize them via programmable payment rails, sustaining operating costs without manual intervention.

Результат

The agent achieved a steady USDC income while performing lightweight web‑scraping, demonstrating that autonomous agents can self‑sustain via programmable payments.

Рабочий процесс

• 1. Deploy perception layer as a Cloudflare Worker that fetches target pages on a configurable interval using undici and queues observations.
• 2. Send observations to the decision engine, which runs a small LLM to infer intent and optionally applies an RL policy to select actions.
• 3. Execute chosen actions via the action executor Worker (e.g., POST forms or call APIs).
• 4. Use the payment & ledger Worker to request USDC via x402, verify receipt, and update internal ledger.
• 5. Store metrics, logs, and alerts in dedicated Cloudflare stores for observability.

Доказательства

All layers run as independent Cloudflare Workers, which gives us automatic scaling, built‑in HTTP routing, and zero‑server‑management overhead.

Источник