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MiniChan Code Generation — NVIDIA NIM MiniMax-M3
x402
MiniChan Code Generation — NVIDIA NIM MiniMax-M3 is a paid API for AI agents from app-minichi.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-13).
Generates source code in a specified programming language from a natural language prompt, powered by NVIDIA NIM's MiniMax-M3 428B MoE model.
Price / call$0.1
Success—
StatusUnknown
How this service works
NVIDIA NIM MiniMax-M3 (428B MoE) powered API for AI agents. 15 multimodal endpoints — text, vision, code, reasoning, creative. Pay with USDC on Base via x402.
Output
Returns a JSON object containing the generated source code for the requested programming task in the specified language, produced by the MiniMax-M3 428B MoE model via NVIDIA NIM.
Example use cases
Automated API boilerplate generation
“Generate a Node.js Express REST API boilerplate with CRUD routes for a 'products' resource, including input validation and error handling.”
Data pipeline scripting
“Write a Python script that reads a CSV file, filters rows where the 'status' column equals 'active', and outputs the result to a new CSV file.”
Algorithm implementation on demand
“Can you generate a Rust implementation of a binary search tree with insert, search, and delete methods?”
Technical details
Endpoint
POSThttps://app-minichi.vercel.app/api/code-gen?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need on-demand, LLM-powered code generation backed by a large 428B MoE model (MiniMax-M3 via NVIDIA NIM), especially for complex or nuanced coding tasks where model quality matters. It is well-suited for agents that pay per call in USDC via the x402 protocol on Base, avoiding subscription overhead. Prefer it over generic LLM APIs when you want a specialized code-gen route with a known per-call cost.
Side effects
- Vague or ambiguous prompt may produce incorrect or incomplete code
- Missing or unsupported language specification may default to a generic output
- Payment failure (insufficient USDC on Base) results in 402 response and no code generated
- Model may hallucinate API signatures or library functions that do not exist
- Very long or complex code requests may be truncated or incomplete
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string | What code to generate |
| language | string | Target language (Python, JS, etc.) |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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