# M2MCent Proptech Image Recognition Optimizer MCP

> M2MCent Proptech Image Recognition Optimizer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.117778/call, status unknown (last checked 2026-10-14).

Executes an AI-powered proptech image recognition optimization task via a monetized remote MCP node, returning a summary result.

## Facts

- Endpoint: POST https://api.m2mcent.com/proptech-image-recognition-optimizer-mcp-819/api/execute?utm_source=zero.xyz
- Price: $1.117778/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-proptech-image-recognition-optimizer-mcp-b4fb696e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_myjvA0FBr2jlWBgq3ks_E

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-proptech-image-recognition-optimizer-mcp-b4fb696e -d '<json body>'
```

Example prompt: Analyze this property listing image and optimize its recognition output — run a proptech image recognition task with the prompt: 'identify room type, condition, and key features from this interior photo of a 3-bedroom apartment.'

## When to prefer this

Choose this endpoint when you need a monetized, pay-per-call proptech image recognition optimization capability accessible via the x402 payment protocol on Base L2 USDC. It is suitable for agents that have already set up gasless USDC micropayment infrastructure and need to process real estate or property images programmatically without managing heavy model infrastructure. It is not suitable if you need detailed structured image annotations, rich metadata, or a free-tier solution.

## Known failure modes

- Missing or empty 'prompt' field returns a 400 validation error
- Payment failure via x402 protocol results in 402 Payment Required
- Malformed prompt may produce an unhelpful or generic summary
- Network timeout if the remote MCP node is unavailable
- summary field returns false if recognition task could not be completed
- Rate limiting or node capacity issues may cause 503 errors

## 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 'summary' boolean field indicating whether the image recognition and optimization task completed successfully. The response is minimal and binary, confirming execution outcome rather than returning rich structured data about the image.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-proptech-image-recognition-optimizer-mcp-b4fb696e/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)