Tanod imagepeek – Image Colour Analysis

x402

Tanod imagepeek – Image Colour Analysis is a paid API for AI agents from tanod.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-11).

Extracts a colour palette, dominant colour, and average colour from any image supplied by URL or base64.

Price / call$0.002

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StatusUnknown

How this service works

One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.

Output

Returns a colour palette of k dominant colours, the single dominant colour, and the overall average colour of the image — each expressed as RGB and/or hex values. Palette size k is configurable from 1–10 (default 5).

Example use cases

Brand palette extraction from logo

“Grab the colour palette from our company logo at https://example.com/logo.png — give me the top 5 colours as hex codes so I can use them in our style guide.”

E-commerce product colour tagging

“I need to automatically tag products by their main colour. Can you analyse this product photo (I'll give you the base64) and tell me the single dominant colour and the full 8-colour palette?”

UI theme generation from hero image

“We have a hero image at https://example.com/hero.jpg — extract its dominant and average colour so we can auto-generate a matching UI colour theme. Give me 6 palette colours.”

Technical details

Endpoint

POSThttps://tanod.dev/v1/image/colors?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, lightweight colour analysis (palette, dominant, and average colour) from an image provided by URL or base64, without requiring a full computer-vision or ML pipeline. Ideal for design tooling, brand identity workflows, e-commerce colour tagging, and UI theming where only colour metadata is needed rather than object detection or segmentation.

Side effects

Image URL unreachable or returns non-image content — HTTP error or invalid content-type
Image exceeds 10 MB — payload too large error
Neither url nor image_base64 provided — validation error
Malformed base64 string — decoding error
Unsupported image format — processing error
k value outside 1–10 range — validation error

Input

Schema · Request body

Field	Type	Description
k	integer	Palette size (1-10, default 5).
url	—	Public http(s) URL of the image (at most 10 MB; private, internal and IP-literal hosts are refused); or use image_base64.
auto_orient	boolean	Apply the EXIF orientation first (default true).
image_base64	—	The image as standard or url-safe base64 (at most 10 MB decoded; a data:image/...;base64, prefix is fine); or use url.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "input": {
      "bytes": 2183,
      "width": 256,
      "format": "png",
      "frames": 1,
      "height": 256,
      "animated": false,
      "has_alpha": true
    },
    "notes": [],
    "source": {
      "url": "https://python-pillow.org",
      "library": "Pillow",
      "license": "MIT-CMU (HPND)"
    },
    "average": {
      "hex": "#ad8a17",
      "rgb": [
        173,
        138,
        23
      ],
      "luminance": 137.1
    },
    "palette": [
      {
        "hex": "#f3c11a",
        "rgb": [
          243,
          193,
          26
        ],
        "share": 0.6719
      },
      {
        "hex": "#18160f",
        "rgb": [
          24,
          22,
          15
        ],
        "share": 0.3049
      },
      {
        "hex": "#715b13",
        "rgb": [
          113,
          91,
          19
        ],
        "share": 0.0233
      }
    ],
    "dominant": {
      "hex": "#f3c11a",
      "rgb": [
        243,
        193,
        26
      ],
      "share": 0.6719
    },
    "final_url": "https://tanod.dev/icon.png",
    "operation": "colors",
    "source_url": "https://tanod.dev/icon.png",
    "pixels_sampled": 39468
  }
}

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