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24K Labs Image Dominant Color Extractor
x402
24K Labs Image Dominant Color Extractor is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-14).
Extracts the dominant color palette from an image and returns hex color codes with their coverage percentages.
Price / call$0.004
Success—
StatusUnknown
How this service works
Extract the dominant color palette from an image as hex codes with coverage.
Output
Returns a list of dominant colors extracted from the image, each represented as a hex color code (e.g. #3A7BD5) paired with a coverage value indicating what percentage or proportion of the image that color occupies, ordered by dominance.
Example use cases
Brand color extraction from logo
“I have a logo image at https://mybrand.com/logo.png — can you extract the dominant colors from it and give me the hex codes so I can build a consistent color palette for our design system?”
E-commerce product color tagging
“Pull the dominant color palette from this product photo at https://shop.example.com/sneaker.jpg and tell me what percentage of the image each color covers — I need to tag the product listing with its main colors.”
Website background color matching
“I want to match my website background to the main color in this hero image at https://mysite.com/hero.webp — what's the dominant hex color and how much of the image does it take up?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/v1/image-dominant-colorWhen to prefer
Choose this endpoint when you need to programmatically extract the actual color composition of an image with exact hex codes and coverage data — ideal for design automation, brand color extraction, product tagging, or any workflow where you need quantified color dominance rather than a human description of image colors.
Side effects
- Invalid or unreachable image URL returns an error
- Unsupported image format may cause processing failure
- Very low-contrast or monochrome images may return fewer palette entries
- Network timeout if image file is too large or slow to fetch
- Malformed request body returns a 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| count | number | |
| image_b64 | string |
Output
Schema · Response
{
"type": "json",
"example": {
"palette": []
}
}Tags
x402
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