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x402engine Grok Code LLM API
x402
x402engine Grok Code LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.015149/call, status unknown (last checked 2026-10-29).
Send chat messages to xAI's Grok code-focused model via HTTP 402 micropayment, returning an OpenAI-compatible response
Price / call$0.015149
Success—
StatusUnknown
How this service works
x402engine — xAI's build-focused model — code generation, analysis, and agentic implementation work
Output
An OpenAI-compatible JSON response containing the model name ('x-ai/grok-build-0.1'), an array of choices each with an index, finish_reason, and message object (role + content), plus a top-level content field with the assistant's reply text. When streaming is enabled, returns SSE chunks in OpenAI format after payment settles.
Example use cases
Automated code review assistant
“Use Grok's coding model to review this Python function and suggest improvements for readability, performance, and edge case handling: def calc(a, b): return a/b”
Code generation for data pipeline
“Have the Grok code model write a Node.js script that reads from a PostgreSQL database, transforms the results into JSON, and posts them to a REST API endpoint — include error handling.”
Function-calling agent for debugging
“Send this conversation to the Grok code model with my debugger tool definition so it can call it to identify why this TypeScript code throws a 'cannot read property of undefined' error at runtime.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/grok-code?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a coding-specialized LLM (xAI Grok code variant) without a subscription, paying only $0.015 per call via USDC micropayment. Ideal for agents that need on-demand code generation, debugging, or code review without managing API keys or rate limits. Prefer over generic chat models when the task is code-centric and you want Grok's code-tuned reasoning.
Side effects
- Payment not settled — 402 response if USDC/USDm payment fails or is insufficient
- Missing required 'messages' field — validation error
- Model context length exceeded if conversation history is too long
- Tool call loop if function results are not returned correctly via role=tool
- Streaming timeout if SSE connection drops mid-response
- Unsupported parameter (e.g. seed or logprobs) if model capability not listed in /docs/llm-capabilities.md
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "x-ai/grok-build-0.1",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"