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MiniChan Text Translation API (NVIDIA NIM / MiniMax-M3)
x402
MiniChan Text Translation API (NVIDIA NIM / MiniMax-M3) is a paid API for AI agents from app-minichi.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-11).
Translates a given text into a specified target language using NVIDIA NIM's MiniMax-M3 428B MoE model, payable in USDC via x402.
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
Returns a JSON object containing the translated version of the input text in the requested target language, produced by the MiniMax-M3 428B MoE model via NVIDIA NIM.
Example use cases
Customer support message localization
“Translate this support reply into Spanish for our customer: 'We have received your complaint and our team is looking into it. You will hear back from us within 24 hours.'”
E-commerce product description translation
“I need this product description translated into French: 'Lightweight wireless earbuds with 30-hour battery life and active noise cancellation, perfect for commuters.'”
International app UI localization
“Can you translate this UI string into German for me? The text is: 'Please confirm your email address to complete your registration.'”
Technical details
Endpoint
POSThttps://app-minichi.vercel.app/api/translate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need high-quality AI-powered text translation backed by a large 428B parameter MoE model (NVIDIA NIM MiniMax-M3), especially within an agentic workflow that supports x402 micropayments in USDC on Base. It is suitable for on-demand, per-call translation without a subscription, and is part of a broader multimodal API suite on the same platform.
Side effects
- Missing required 'text' field returns a validation error
- Missing or unrecognized 'target_lang' value may produce an error or fallback behavior
- Payment failure (insufficient USDC balance) blocks the request via x402 protocol
- Very long input texts may exceed model context limits
- Unsupported or obscure target languages may yield poor translation quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to translate |
| target_langrequired | string | Target language (e.g., Japanese, Spanish, French) |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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