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MiniChan Reasoning Endpoint (NVIDIA NIM MiniMax-M3)
x402
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.
Price / call$0.15
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
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.
Example use cases
Multi-step math problem solving
“Can you reason through this calculus problem step by step: find the derivative of f(x) = x^3 * ln(x) and explain each step of the product rule application?”
Complex coding logic debugging
“I'm confused about why my recursive Fibonacci implementation is exponential in time complexity — can you reason through the call tree step by step and explain exactly where the redundancy comes from?”
Strategic business decision analysis
“Reason through whether it makes more sense for a bootstrapped SaaS startup with $200k ARR to raise a seed round now or wait until $500k ARR — walk me through the tradeoffs logically.”
Technical details
Endpoint
POSThttps://app-minichi.vercel.app/api/reasoning?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string | Problem or question requiring step-by-step reasoning |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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