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MiniChan Summarize — NVIDIA NIM MiniMax-M3 Text Summarization
x402
MiniChan Summarize — NVIDIA NIM MiniMax-M3 Text Summarization is a paid API for AI agents from minichan.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Summarizes a given block of text to a target word length using NVIDIA NIM MiniMax-M3 (428B MoE) via the MiniChan API, paid per-call with 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 a condensed version of the input text, reduced to approximately the requested word count, generated by the MiniMax-M3 428B MoE model.
Example use cases
Example prompt
“Can you summarize the following article in about 150 words using MiniChan's NIM-powered summarizer? [paste article text here]”
Technical details
Endpoint
POSThttps://minichan.vercel.app/api/summarizeWhen to prefer
Choose this endpoint when you need high-quality text summarization powered by a large (428B) MoE model and are comfortable paying $0.05 USDC per call via x402 on Base. Ideal for agents that need reliable, nuanced condensation of long documents, articles, or passages and want a pay-per-use model without subscription overhead.
Side effects
- Missing required 'text' field returns a 400 validation error
- Payment failure or insufficient USDC balance on Base blocks the request
- Model timeout on very large input texts
- Empty or whitespace-only text input may return an unhelpful summary
- max_words set to an extremely small value may produce incoherent output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to summarize |
| max_words | number | Target summary length |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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