# MiniChan Reasoning Endpoint — NVIDIA NIM MiniMax-M3

> MiniChan Reasoning Endpoint — NVIDIA NIM MiniMax-M3 is a paid API for AI agents from app-minichwaan.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).

Performs step-by-step chain-of-thought reasoning on a problem or question using NVIDIA NIM's MiniMax-M3 428B MoE model

## Facts

- Endpoint: POST https://app-minichwaan.vercel.app/api/reasoning
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/minichan-reasoning-endpoint-nvidia-nim-minimax-m3-99fc6a55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UGjN6KRVknl16wmdgdwNX

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-m3-99fc6a55 -d '<json body>'
```

Example prompt: Walk me through the reasoning step by step: if a train leaves Chicago at 60 mph and another leaves New York at 80 mph toward each other 900 miles apart, when do they meet?

## When to prefer this

Choose this endpoint when you need explicit, transparent step-by-step reasoning rather than a direct answer — especially for math, logic puzzles, multi-factor decisions, technical debugging, or scientific analysis. Prefer it over general text generation endpoints when the reasoning process itself is as important as the final answer. It is backed by the large 428B MoE MiniMax-M3 model, making it well-suited for complex problems that benefit from deeper compute.

## Known failure modes

- Missing required 'prompt' field returns a 400 validation error
- Overly vague or ambiguous prompt may yield incomplete reasoning
- Payment failure via x402/USDC results in a 402 Payment Required response
- Very long or complex prompts may hit token limits and truncate output
- Model unavailability or NVIDIA NIM backend errors return 5xx responses

## 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 detailed chain-of-thought response that walks through the problem step by step, showing intermediate reasoning and arriving at a final answer or conclusion, returned as a structured JSON object.

## 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-m3-99fc6a55/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from app-minichwaan.vercel.app](https://www.zero.xyz/host/app-minichwaan.vercel.app/llms.txt)