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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 minizzzan.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Summarizes a block of text to a target word count using NVIDIA NIM MiniMax-M3 (428B MoE) model, payable via 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
Returns a summarized version of the input text, condensed to approximately the requested word count (or a default length if max_words is not specified).
Example use cases
Example prompt
“Can you summarize this article for me in about 150 words? Here's the text: 'Artificial intelligence has rapidly transformed industries across the globe, from healthcare diagnostics to autonomous vehicles. Researchers continue to push the boundaries of what machines can learn and do...'”
Technical details
Endpoint
POSThttps://minizzzan.vercel.app/api/summarizeWhen to prefer
Choose this endpoint when you need AI-powered text summarization backed by a large 428B MoE model with strong language understanding. Suitable for long-form documents, articles, or reports where quality of summarization matters. Costs $0.05 USDC per call via x402 on Base, so prefer it when output quality justifies the cost over free/cheaper alternatives.
Side effects
- Missing required 'text' field returns a validation error
- Text too long may exceed model context window and return an error
- Payment failure (insufficient USDC or x402 protocol error) blocks the request
- Server-side model inference timeout for very large inputs
- Malformed JSON body returns 400 error
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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