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IoT Image Recognition Validator MCP
x402
IoT Image Recognition Validator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.077989/call, status unknown (last checked 2026-10-16).
Validates an IoT image recognition dataset and returns a boolean report indicating whether it passes validation checks
Price / call$1.077989
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 'report' boolean field: true if the dataset passes validation, false if it fails. No additional detail or error breakdown is provided beyond the pass/fail result.
Example use cases
IoT camera feed quality check
“I've got a dataset from our factory floor IoT cameras that went through the image recognition pipeline — can you validate it and tell me if it passes?”
Automated ML pipeline validation
“Before we push this image recognition batch to production, run a validation check on this dataset string and confirm whether it's good or not.”
Edge device vision data audit
“We just collected image recognition data from our edge IoT sensors — please validate this dataset and tell me if it passes the integrity check.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/iot-image-recognition-validator-mcp-279/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost boolean pass/fail validation of an IoT image recognition dataset and do not require detailed diagnostic feedback. Best suited for automated pipeline gates where a simple valid/invalid signal is sufficient and you want USDC micropayment settlement via x402 on Base L2.
Side effects
- Missing required 'dataset' field returns a 400 validation error
- Malformed or non-string dataset value may cause processing failure
- Payment failure via x402 protocol results in 402 response before execution
- Oversized dataset strings may timeout or be rejected
- Ambiguous dataset format may yield unreliable boolean result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datasetrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| reportrequired | boolean |
Tags
x402
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