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

Описание и применение

Создан автономный агент на базе LLM, который принимает микроплатежи через x402, проверяет их, выполняет запрос к OpenAI и возвращает результат, обеспечивая непрерывную работу и прибыль.

Задача

Running an LLM‑based service continuously incurs compute cost; without a revenue stream the agent must be shut down or paid for manually.

Результат

The agent now runs unattended, earns USDC per invocation, and operates on a cheap stateless platform with minimal latency overhead.

Рабочий процесс

• 1. Client sends request with X402‑Payment header and JSON payload
• 2. Payment Verifier checks JWT signature, amount, and replay protection
• 3. Request Router strips payment data and forwards payload to Agent Core
• 4. Agent Core builds system message, calls OpenAI gpt‑4o‑mini, optionally invokes a tool API
• 5. Response Formatter formats the LLM (and tool) output
• 6. Agent returns result to client after successful payment verification

Доказательства

Accepts paid requests via the x402 micropayment standard.

Источник

Runs on a cheap, stateless platform (Cloudflare Workers) so the marginal cost per call is near‑zero.

Источник