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MiniChan Chat — NVIDIA NIM MiniMax-M3 Text Generation
x402
MiniChan Chat — NVIDIA NIM MiniMax-M3 Text Generation is a paid API for AI agents from app-minichwaan.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Sends a text prompt to a MiniMax-M3 428B MoE model via NVIDIA NIM and returns a generated text response, paid per-call in USDC on Base.
Price / call$0.05
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 JSON object containing the AI-generated text response to the submitted prompt, produced by the MiniMax-M3 428B MoE model. May include the completion text and usage metadata depending on the response schema.
Example use cases
AI-powered code explanation
“Use MiniChan's MiniMax-M3 model to explain this Python decorator pattern to me in plain English, and give me a practical example of when I'd use it — aim for about 300 tokens and keep it clear and concise.”
Creative short story drafting
“I want to write a short sci-fi story opening set on a water-covered planet. Use MiniChan to generate a vivid 200-word opening paragraph with a temperature of 0.9 for maximum creativity.”
Complex reasoning question answer
“Ask MiniChan's MiniMax-M3 to walk me step-by-step through the solution to this logic puzzle: 'Five houses in a row, each a different color, each owner a different nationality…' — give it up to 1500 tokens to reason through it fully.”
Technical details
Endpoint
POSThttps://app-minichwaan.vercel.app/api/chatWhen to prefer
Choose this endpoint when you need access to a very large (428B MoE) frontier model for high-quality text generation, reasoning, or creative tasks without a standing subscription — paying only $0.05 USDC per call via x402 on Base. Prefer it over standard OpenAI-compatible endpoints when cost-per-call micropayment billing is desired, or when MiniMax-M3's specific capabilities (multilingual, long-context, reasoning) are needed.
Side effects
- Payment failure — insufficient USDC balance or x402 payment not accepted, resulting in 402 error
- Prompt too long — exceeds model context window, returning a 400 or truncation error
- Temperature or max_tokens out of range — invalid parameter values rejected
- Model timeout — large prompts or max_tokens values may cause slow or timed-out responses
- Empty or malformed prompt — missing required 'prompt' field returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string | Your message or question |
| max_tokens | number | Max response tokens (default 1024) |
| temperature | number | Creativity 0-1 (default 0.7) |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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