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MiniChan Visual Q&A — NVIDIA NIM MiniMax-M3 Vision Endpoint
x402
MiniChan Visual Q&A — NVIDIA NIM MiniMax-M3 Vision Endpoint is a paid API for AI agents from app-minichwaan.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Answers natural-language questions about a given image URL using the MiniMax-M3 428B multimodal model via NVIDIA NIM
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 text response answering the posed question about the provided image, generated by the MiniMax-M3 428B multimodal model. The response describes relevant visual elements, objects, text, relationships, or other content as needed to address the question.
Example use cases
Product image content verification
“Here's an image from our e-commerce listing: https://store.example.com/images/product123.jpg — can you tell me if it actually shows a red sneaker and whether the brand logo is visible?”
Chart and diagram data extraction
“I've got a screenshot of a bar chart at https://reports.example.com/q3-chart.png — what does it show and what are the approximate values for each bar?”
Accessibility alt-text generation
“Can you look at this image — https://myblog.com/uploads/hero-banner.jpg — and describe what's happening in enough detail that I could write good alt text for it?”
Technical details
Endpoint
POSThttps://app-minichwaan.vercel.app/api/visual-qaWhen to prefer
Choose this endpoint when you need to ask a specific natural-language question about an image accessible via URL, especially when you want large-model (428B MoE) quality multimodal reasoning at a fixed per-call cost paid in USDC. Prefer this over generic vision APIs when you need MiniMax-M3's depth of reasoning for complex visual scenes, charts, or multi-element images.
Side effects
- Invalid or inaccessible image URL returns an error or empty analysis
- Ambiguous question may yield a generic or incomplete answer
- Very low-resolution or corrupted images may produce inaccurate results
- Payment failure (insufficient USDC on Base) blocks the request
- Rate limiting or model unavailability from NVIDIA NIM backend
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| questionrequired | string | Question about the image |
| image_urlrequired | string | URL of the image to analyze |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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