From Prompt to Paycheck: Wiring an LLM Chain Into Real Gig Platforms

说明与用途

使用 x402 在 Base 上实现从自然语言到自由职业平台任务创建的自动化流程。

问题

Automating the creation of gig‑platform jobs from natural‑language requests while handling payment in a single flow.

结果

A minimal, production‑ready Python implementation that turns free‑form job requests into Upwork/Fiverr API calls and settles payment via x402 on Base, with optional retry logic.

工作流

• 1. Receive natural‑language job request from user.
• 2. LLM Chain extracts job parameters (clarify).
• 3. Validate required fields and budget ordering.
• 4. Format validated data into platform‑specific JSON payload.
• 5. Adapter sends request to gig‑platform API (e.g., Upwork).
• 6. Receive platform response (job ID).
• 7. Sign x402 payment ticket with private key.
• 8. Gateway validates ticket and transfers USDC on Base.
• 9. Log success or error.
• 10. Optionally retry via Redis+RQ if failures occur.

证据

Autonomous AI agents that can accept a natural‑language request, run a chain of LLM‑driven steps, call gig‑platform APIs, and settle payment in a single flow are becoming a practical pattern.

来源

The LLM Chain is responsible for turning free‑form text into a deterministic API call.

来源

x402 (the “pay‑per‑call” protocol) sits after the platform call: the agent signs a payment ticket with its private key, the gateway validates it, and USDC is transferred on Base.

来源