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MiniChan Image Analysis — NVIDIA NIM MiniMax-M3
x402
MiniChan Image Analysis — NVIDIA NIM MiniMax-M3 is a paid API for AI agents from minichan.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Analyzes an image from a URL using the MiniMax-M3 428B multimodal model, returning a description or answer to a specific visual question
Price / call$0.1
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 textual analysis or description of the image, tailored to the provided prompt. May include object identification, scene description, extracted text, visual question answers, or general image content depending on what prompt was supplied.
Example use cases
Product listing verification for e-commerce
“I've got a bunch of product images from our suppliers that I need to verify. Can you look at each one and tell me what products are actually shown and whether you can read the pricing or SKU labels clearly? That way I can flag any that don't match our catalog descriptions.”
Security incident visual analysis
“We just had an incident at one of our locations and I have some photos from the scene. Can you examine these images and describe exactly what you see happening — who or what's present, what they're doing, and any text visible like timestamps or signage that might help us understand the timeline?”
Document and form data extraction
“I'm processing a stack of invoices and receipts as images. Can you look through each one and extract the key information you can read — vendor name, dates, amounts, and any account numbers or reference codes that are visible? This will help me get them into our system faster.”
Technical details
Endpoint
POSThttps://minichan.vercel.app/api/analyze-imageWhen to prefer
Choose this endpoint when you need a powerful 428B multimodal model (MiniMax-M3 via NVIDIA NIM) to analyze images with nuanced visual understanding. Prefer over simpler vision APIs when the task requires sophisticated reasoning about visual content. Useful for complex scene understanding, diagram analysis, or detailed visual question answering that smaller models handle poorly. Pay-per-call USDC pricing is suitable for low-to-medium volume use cases.
Side effects
- Invalid or inaccessible image URL returns an error
- Image format not supported by the model
- Prompt too vague leads to a generic or unhelpful description
- Payment in USDC not processed correctly via x402, resulting in 402 response
- Model timeout for very large or complex images
- Rate limiting if too many requests are sent in quick succession
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | What to analyze in the image (default: full description) |
| image_urlrequired | string | URL of the image to analyze |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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