# MiniChan Code Review — NVIDIA NIM MiniMax-M3

> MiniChan Code Review — NVIDIA NIM MiniMax-M3 is a paid API for AI agents from minichan.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Reviews submitted code using NVIDIA NIM's MiniMax-M3 428B MoE model, providing AI-powered feedback on quality, bugs, and improvements.

## Facts

- Endpoint: POST https://minichan.vercel.app/api/code-review
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/minichan-code-review-nvidia-nim-minimax-m3-748cc858
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wMvL894j5Sc1qkHs8_z9_

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability minichan-code-review-nvidia-nim-minimax-m3-748cc858 -d '<json body>'
```

Example prompt: Can you review this Python function for bugs and improvements? def add(a, b): return a + b + 1 — the language is Python.

## When to prefer this

Choose this endpoint when you need LLM-powered code review backed by a large 428B MoE model (MiniMax-M3 via NVIDIA NIM), especially in agent workflows that pay per-call via USDC on Base using x402. Useful for autonomous coding agents that need on-demand code review without a standing API subscription.

## Known failure modes

- Missing required 'code' field returns validation error
- Empty code string may produce unhelpful review
- Unsupported or ambiguous language may reduce review accuracy
- Payment failure via x402/USDC results in 402 Payment Required
- Very large code inputs may hit token limits or timeout

## 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

A structured object containing AI-generated code review feedback, including identified bugs, style issues, potential improvements, and overall quality assessment based on MiniMax-M3's 428B parameter analysis.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "code"
 ],
 "properties": {
  "code": {
   "type": "string",
   "description": "Code to review"
  },
  "language": {
   "type": "string",
   "description": "Programming language"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/minichan-code-review-nvidia-nim-minimax-m3-748cc858/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from minichan.vercel.app](https://www.zero.xyz/host/minichan.vercel.app/llms.txt)