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Computer Vision Defect Detection API
x402
Computer Vision Defect Detection API is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-09-15).
Analyzes images or visual data to detect and identify defects using computer vision techniques
Price / call$0.3
Success—
StatusUnknown
How this service works
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Output
Returns a structured analysis of the submitted visual data, including identified defects, their locations or descriptions, defect types, and confidence scores indicating the likelihood and severity of each detected issue.
Example use cases
Manufacturing line quality control
“I have an image of a circuit board fresh off the production line — can you scan it for any visible defects like cracks, missing components, or solder bridges?”
Surface crack detection in infrastructure
“Analyze this photo of a concrete wall and flag any cracks or structural defects you can identify.”
Retail product inspection before shipment
“Here's an image of a product we're about to ship — can you check it for scratches, dents, or other visible flaws that would make it unacceptable?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/computer-vision-defect-mcp/api/processWhen to prefer
Use this endpoint when you need automated, AI-powered visual defect detection on image data within an agentic workflow, particularly when integrating quality control into a pipeline that handles manufacturing, logistics, or product inspection at scale. Prefer this over manual inspection workflows or general-purpose vision models when you need a dedicated defect-classification signal with per-call pay-as-you-go pricing.
Side effects
- Invalid or missing data field returns an error
- Non-image or unparseable data string causes processing failure
- Low-resolution or corrupted image may result in no defects detected or low confidence
- Payment not received results in HTTP 402 response
- Unsupported image format may cause processing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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