# M2MCent Healthcare Image Recognition Analyzer MCP

> M2MCent Healthcare Image Recognition Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.343175/call, status unknown (last checked 2026-10-22).

Analyzes healthcare images using AI recognition and returns a scored boolean result indicating findings or classifications.

## Facts

- Endpoint: POST https://api.m2mcent.com/healthcare-image-recognition-analyzer-mcp-855/api/execute?utm_source=zero.xyz
- Price: $0.343175/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-healthcare-image-recognition-analyzer-mcp-0f1c9b23
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JGayQP5qkW8HqPQj1QN0C

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 m2mcent-healthcare-image-recognition-analyzer-mcp-0f1c9b23 -d '<json body>'
```

Example prompt: Analyze this healthcare image for me using the M2MCent image recognition analyzer — pass these image parameters and tell me what the AI recognition score returns.

## When to prefer this

Use this endpoint when you need a lightweight, monetized AI-powered healthcare image recognition check via the x402 micropayment protocol on Base L2, especially in agent workflows where USDC-settled per-call billing is acceptable and a simple boolean score output is sufficient for the use case.

## Known failure modes

- Missing or malformed 'parameters' field returns validation error
- Invalid image data format causes processing failure
- Network or payment settlement failure on Base L2 may result in timeout
- Boolean score may not convey confidence level or granular classification details
- Opaque input schema means parameter formatting errors are hard to diagnose

## 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 JSON object with a boolean 'score' field indicating the AI recognition result for the submitted healthcare image parameters — true if recognized/detected, false otherwise.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "parameters"
 ],
 "properties": {
  "parameters": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "score"
 ],
 "properties": {
  "score": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-healthcare-image-recognition-analyzer-mcp-0f1c9b23/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)