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x402 AI Tools – Image Label Detection (Amazon Rekognition)
x402
x402 AI Tools – Image Label Detection (Amazon Rekognition) is a paid API for AI agents from ai.kagurazaka.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-30).
Detects objects, scenes, activities, and concepts in a JPEG or PNG image at a URL using Amazon Rekognition, returning labels with confidence scores, categories, parent labels, and instance counts.
Price / call$0.003
Success—
StatusUnknown
How this service works
Detects objects, scenes, activities and concepts in a JPEG or PNG at a URL with Amazon Rekognition. Returns labels with confidence, their categories and parent labels, and how many instances were located.
Output
Returns a list of labels detected in the image, each with a confidence score (0–100), one or more category names, parent label hierarchy, and a count of how many distinct instances of that label were located in the image. Up to max_labels results are returned, filtered to those meeting the min_confidence threshold.
Example use cases
E-commerce product image tagging
“Analyze this product photo at https://mystore.com/images/shoe123.jpg and give me up to 50 labels with at least 80% confidence so I can auto-tag it in our catalog.”
Content moderation pre-check labeling
“Before I run moderation on this uploaded image at https://uploads.myapp.com/user42/post.jpg, can you detect what's in it — list all the objects and scenes with confidence above 60?”
Real estate photo scene classification
“I need to know what's in this real estate listing photo at https://listings.realestate.com/img/room45.jpg — detect all objects and room features, give me up to 100 labels with any confidence above 50.”
Technical details
Endpoint
POSThttps://ai.kagurazaka.dev/v1/labels?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to identify and enumerate what objects, scenes, activities, or concepts appear in a JPEG or PNG image accessible via URL, especially when you need confidence scores and hierarchical label categories. It is backed by Amazon Rekognition and is well-suited for content tagging, catalog enrichment, scene understanding, and preliminary image classification. Prefer it over face-detection or text-in-image endpoints when the goal is general object/scene labeling rather than faces or OCR.
Side effects
- Image URL is not publicly accessible or returns a non-200 HTTP response
- Image format is not JPEG or PNG
- Image exceeds 5 MB file size limit
- min_confidence or max_labels outside valid range (0–100 / 1–100)
- URL uses HTTP instead of HTTPS
- Amazon Rekognition service error or throttling
- No labels detected above the specified confidence threshold
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | https URL of a JPEG or PNG image (up to 5 MB) |
| max_labels | integer | 1-100 (default 20) |
| min_confidence | number | 0-100 (default 60) |
Tags
x402
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