# MiniChan Visual QA — NVIDIA NIM MiniMax-M3 Image Question Answering

> MiniChan Visual QA — NVIDIA NIM MiniMax-M3 Image Question Answering is a paid API for AI agents from minizzzan.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).

Answers a natural language question about an image using NVIDIA NIM's MiniMax-M3 428B multimodal model

## Facts

- Endpoint: POST https://minizzzan.vercel.app/api/visual-qa
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/minichan-visual-qa-nvidia-nim-minimax-m3-image-question-answering-107692e5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_638lOrYMepoVieYW191dt

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability minichan-visual-qa-nvidia-nim-minimax-m3-image-question-answering-107692e5 -d '<json body>'
```

Example prompt: Look at this image — https://example.com/photo.jpg — and tell me: what objects are visible in the foreground and what brand logo appears on the sign?

## When to prefer this

Choose this endpoint when you need to answer a specific natural language question about the visual content of an image, especially when the question requires reasoning about scene content, objects, text, or relationships within the image. Prefer over generic image captioning when a targeted Q&A response is needed. Backed by MiniMax-M3 428B MoE via NVIDIA NIM for high-quality multimodal reasoning.

## Known failure modes

- Image URL is inaccessible or returns 404 — model cannot fetch the image
- Unsupported image format or corrupted image file
- Question field is empty or malformed — validation error
- NVIDIA NIM backend timeout or rate limit exceeded
- Payment of 0.1 USDC on Base fails or is rejected via x402 protocol

## 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 natural language answer to the posed question about the provided image, generated by the MiniMax-M3 428B multimodal model via NVIDIA NIM, covering visual details, objects, text, or scene content as relevant to the question asked.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "question",
  "image_url"
 ],
 "properties": {
  "question": {
   "type": "string",
   "description": "Question about the image"
  },
  "image_url": {
   "type": "string",
   "description": "URL of the image to analyze"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/minichan-visual-qa-nvidia-nim-minimax-m3-image-question-answering-107692e5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from minizzzan.vercel.app](https://www.zero.xyz/host/minizzzan.vercel.app/llms.txt)