# Visual QA Frame Analyzer MCP

> Visual QA Frame Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Analyzes video frames or images to answer visual question-answering (QA) tasks, extracting meaning and answering questions about visual content.

## Facts

- Endpoint: POST https://api.m2mcent.com/visual-qa-frame-analyzer-mcp/api/process
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/visual-qa-frame-analyzer-mcp-e63874cf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fjAVVuls0s2srBSmnKpjv

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 visual-qa-frame-analyzer-mcp-e63874cf -d '<json body>'
```

Example prompt: Look at this image frame data and tell me what's happening — specifically, what objects are present, what actions are taking place, and answer any visual questions I have about the scene.

## When to prefer this

Choose this endpoint when you need to perform visual question answering on individual image or video frames — particularly useful in agentic pipelines where visual content must be interpreted programmatically without a human in the loop. Prefer this over general image description APIs when you need targeted QA-style answers about specific visual elements in a frame.

## Known failure modes

- Invalid or malformed base64 image data returns an error
- Unsupported image format may cause processing failure
- Extremely low-resolution or blank frames may yield low-confidence or empty results
- Payment failure (402) if USDC balance insufficient
- Timeout on very large image payloads

## How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

## Output

Returns a structured response containing answers to visual questions about the submitted image or video frame, including descriptions of objects, scenes, actions, and other visual elements detected in the data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/visual-qa-frame-analyzer-mcp-e63874cf/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)