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x402 AI Copilot API
x402
x402 AI Copilot API is a paid API for AI agents from x402-ai-peach.vercel.app, paid per call via x402, $0.125/call, status unknown (last checked 2026-09-13).
Pay-per-call AI chat completions endpoint using x402 micropayments, compatible with OpenAI-style message arrays
Price / call$0.125
Success—
StatusUnknown
How this service works
Paid AI API endpoints via x402 micropayments
Output
An OpenAI-compatible JSON object containing a response ID and a choices array, where each choice holds a message with role and content fields representing the AI-generated reply to the input messages.
Example use cases
Agent-to-agent AI task delegation
“Forward this conversation history to the x402 AI copilot and get a response for the user — the messages array has the full context, cap it at 256 tokens and keep temperature at 0.5.”
Serverless chatbot with pay-per-use billing
“I'm building a chatbot that should only pay when it actually gets a response — send this user's message thread to the x402 copilot API with streaming enabled and max 1024 tokens so I can pipe the output live.”
One-off AI completion without subscription
“I don't want to set up an OpenAI account — can you hit the x402 copilot endpoint with my question as a user message and get me an answer? Keep temperature at 1.0 for a creative response.”
Technical details
Endpoint
POSThttps://x402-ai-peach.vercel.app/api/copilotWhen to prefer
Choose this endpoint when you need pay-per-call AI chat completions without committing to a subscription or API key, especially in agent workflows that use the x402 micropayment protocol with USDC. It is ideal for serverless or agent-to-agent architectures where cost is tightly coupled to usage and you want OpenAI-compatible message formatting with crypto-native billing.
Side effects
- Payment failure — insufficient USDC balance or x402 payment not accepted, returning a 402 Payment Required error
- Missing required 'messages' field — returns a validation error
- Malformed messages array — incorrect role/content structure causes a 400 error
- Token limit exceeded — max_tokens set too high for the model's context window
- Streaming errors — connection drops mid-stream if network is unstable
- Rate limiting or server overload on the Vercel deployment causing 503 errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| stream | boolean | Stream response |
| messagesrequired | array | Chat messages array |
| max_tokens | integer | Max tokens |
| temperature | number | Temperature |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| id | string | Response ID |
| choices | array |
Tags
x402
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