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Face Detection API (sna4an-mega-v3)
x402
Face Detection API (sna4an-mega-v3) is a paid API for AI agents from sna4an-mega-v7.vercel.app, paid per call via x402, $0.22/call, status unknown (last checked 2026-11-05).
Detects and locates human faces within an image, returning bounding boxes or detection metadata.
Price / call$0.22
Success—
StatusUnknown
How this service works
Mega API hub - 118 endpoints covering social media, finance, sports, AI, e-commerce, and more
Output
Returns detection results indicating the presence, count, and position (bounding boxes or coordinates) of human faces found within the submitted image, along with confidence scores for each detected face.
Example use cases
Group photo face count
“I have a group photo from the company event — can you detect all the faces in it and tell me how many people are in the shot and where each face is located?”
Security camera face check
“Can you analyze this security camera frame and detect whether any human faces are visible in it, with their positions?”
Profile photo face validation
“Before I upload this profile picture, can you check if a face is clearly detected in it and give me the bounding box coordinates?”
Technical details
Endpoint
POSThttps://sna4an-mega-v7.vercel.app/api/face-detection14?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to detect and locate human faces in images as a standalone operation, particularly in workflows involving photo validation, content moderation, attendance tracking, or preprocessing for downstream face recognition tasks. Prefer this over full facial recognition endpoints if you only need detection (not identification).
Side effects
- Empty or missing image input returns an error or empty result
- Non-image input data causes a processing failure
- Image with no faces returns an empty detections array
- Overly compressed or low-resolution images may yield low-confidence or missed detections
- Network timeout for large image payloads
- Unsupported image format causes a parse error
Input
Schema · Request body
{
"type": "object",
"properties": {}
}Tags
x402
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