# MiniChan Image Analysis — NVIDIA NIM MiniMax-M3

> 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

## Facts

- Endpoint: POST https://minichan.vercel.app/api/analyze-image
- 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-image-analysis-nvidia-nim-minimax-m3-75375471
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DBliyZGa4v1FTcVGq2GDn

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-image-analysis-nvidia-nim-minimax-m3-75375471 -d '<json body>'
```

Example prompt: Can you analyze this image for me — https://example.com/product.jpg — and describe what's in it, focusing on any text or labels you can read?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "image_url"
 ],
 "properties": {
  "prompt": {
   "type": "string",
   "description": "What to analyze in the image (default: full description)"
  },
  "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-image-analysis-nvidia-nim-minimax-m3-75375471/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from minichan.vercel.app](https://www.zero.xyz/host/minichan.vercel.app/llms.txt)