# MiniChan Reasoning Endpoint (NVIDIA NIM MiniMax-M3)

> MiniChan Reasoning Endpoint (NVIDIA NIM MiniMax-M3) is a paid API for AI agents from app-minichi.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-11).

Performs step-by-step chain-of-thought reasoning on complex problems or questions using NVIDIA NIM's MiniMax-M3 428B MoE model.

## Facts

- Endpoint: POST https://app-minichi.vercel.app/api/reasoning?utm_source=zero.xyz
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/minichan-reasoning-endpoint-nvidia-nim-minimax-m3-2aec850f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pFXt1cVdG3KkQrK6ryjs4

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-reasoning-endpoint-nvidia-nim-minimax-m3-2aec850f -d '<json body>'
```

Example prompt: Walk me step by step through why the Monty Hall problem results in a 2/3 chance of winning if you switch doors — I want a clear, logical breakdown of each reasoning step.

## When to prefer this

Choose this endpoint when you need transparent, step-by-step reasoning rather than a direct answer — ideal for math proofs, logic puzzles, debugging, multi-step problem decomposition, or any task where showing the reasoning chain is as important as the final answer. Prefer over general text generation endpoints when the user explicitly needs to follow or audit the reasoning process.

## Known failure modes

- Missing or empty 'prompt' field returns a 400 validation error
- Prompt too long or exceeding token limits may cause truncation or 500 error
- Payment not sent or insufficient USDC balance results in 402 Payment Required
- Model timeout on extremely complex multi-step problems
- Vague prompts may yield shallow or circular reasoning rather than a useful chain-of-thought

## 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 chain-of-thought response that breaks the input problem into discrete reasoning steps, showing the model's intermediate logic before arriving at a final answer or conclusion. Returned as a JSON object containing the reasoning trace and result.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "prompt": {
   "type": "string",
   "description": "Problem or question requiring step-by-step reasoning"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/minichan-reasoning-endpoint-nvidia-nim-minimax-m3-2aec850f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from app-minichi.vercel.app](https://www.zero.xyz/host/app-minichi.vercel.app/llms.txt)