# MiniChan Visual Q&A — NVIDIA NIM MiniMax-M3 Vision Endpoint

> 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

## Facts

- Endpoint: POST https://app-minichwaan.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-q-a-nvidia-nim-minimax-m3-vision-endpoint-2026581d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_d7ENHG9t7ckQ8PMoomTsJ

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-q-a-nvidia-nim-minimax-m3-vision-endpoint-2026581d -d '<json body>'
```

Example prompt: Look at this image — https://example.com/photo.jpg — and tell me: what objects are on the table and is there any text visible?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## 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-q-a-nvidia-nim-minimax-m3-vision-endpoint-2026581d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from app-minichwaan.vercel.app](https://www.zero.xyz/host/app-minichwaan.vercel.app/llms.txt)