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M2MCent Proptech Image Recognition Optimizer MCP
x402
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.
Price / call$1.117778
Success—
StatusUnknown
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.
Example use cases
Automated real estate photo classification
“I have a batch of property listing photos and I need to identify the room type and overall condition for each one — can you run image recognition on this prompt: 'classify the room type and condition visible in this photo of a suburban home interior'?”
Property condition assessment from images
“Run a proptech image recognition analysis with this prompt: 'detect signs of wear, damage, or renovation needs in this exterior photo of a commercial building' and give me the summary.”
Feature extraction for MLS listings
“Use proptech image recognition to extract key features from this photo — send the prompt 'identify flooring type, ceiling height, and natural light level in this living room image' and return the result.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/proptech-image-recognition-optimizer-mcp-819/api/execute?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| summaryrequired | boolean |
Tags
x402
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