# Computer Vision Damage Assessment MCP

> Computer Vision Damage Assessment MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-12).

Analyzes images or data to detect, classify, and assess damage using computer vision techniques

## Facts

- Endpoint: POST https://api.m2mcent.com/computer-vision-damage-mcp/api/process?utm_source=zero.xyz
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/computer-vision-damage-assessment-mcp-8d1839f2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IfZS-HZHiGUKZV5a2QOcd

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 computer-vision-damage-assessment-mcp-8d1839f2 -d '<json body>'
```

Example prompt: Can you analyze this photo of my car and tell me what damage you can see — I need a damage assessment for my insurance claim, here's the image data.

## When to prefer this

Choose this endpoint when you need automated computer vision analysis of physical damage in images — particularly for insurance, property inspection, vehicle assessment, or manufacturing quality control workflows where human review is too slow or costly.

## Known failure modes

- Invalid or malformed data input returns an error — image must be properly encoded
- Empty or missing data field causes a 400-level error
- Non-image data submitted may produce no meaningful results or an error
- Very low-resolution or corrupted images may yield low-confidence or null results
- Timeout if image data is excessively large

## 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 damage assessment including detected damage types, severity levels, affected areas or regions within the image, and confidence scores for each finding.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/computer-vision-damage-assessment-mcp-8d1839f2/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)