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x402engine Devstral LLM API
x402
x402engine Devstral LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.004175/call, status unknown (last checked 2026-10-16).
Runs inference on Mistral AI's Devstral (devstral-2512) coding-focused LLM via a pay-per-call HTTP 402 micropayment endpoint
Price / call$0.004175
Success—
StatusUnknown
How this service works
x402engine — Mistral's code-focused model — optimized for software development and technical tasks
Output
Returns an OpenAI-compatible JSON response containing the model name ('mistralai/devstral-2512'), an array of choices each with an assistant message (role, content, optional tool_calls), and a finish_reason. Streaming mode delivers live SSE tokens after payment settles. The top-level 'content' field mirrors the first choice's message content.
Example use cases
Automated code review agent
“I want to build an agent that reviews pull request diffs for bugs and style issues — use Devstral to analyze each diff and return a structured critique with specific line-level suggestions.”
Multi-turn coding assistant
“I'm debugging a tricky async race condition in my Node.js app. Have a back-and-forth conversation with Devstral, passing my code and error logs as messages, until it helps me pinpoint the root cause.”
Tool-calling software planner
“Ask Devstral to plan out a REST API design for a task management app — give it a function definition for 'save_schema' so it can call that tool to return a structured JSON spec when it's done.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/devstral?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need Mistral AI's Devstral model, which is optimized for agentic coding and software engineering tasks. Prefer it over generic GPT or Claude endpoints when the task involves code generation, refactoring, or tool-augmented software workflows. The pay-per-call x402 model makes it ideal for agent pipelines that need LLM inference without committing to a monthly subscription, especially when paying with USDC on Base or Solana.
Side effects
- Payment not settled — 402 returned if USDC/USDm payment fails or wallet has insufficient balance
- Invalid messages array — 400 if required 'messages' field is missing or malformed
- Tool call schema errors — model may hallucinate tool names not in the provided definitions
- Token limit exceeded — very long contexts may be truncated or rejected depending on model context window
- Stream interruption — SSE stream may drop if network disconnects after payment but before full completion
- Unsupported parameters — seed, stop, top_p may be ignored if not supported by this model variant (see /docs/llm-capabilities.md)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "mistralai/devstral-2512",
"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)
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