Tanod imagepeek Image Crop

x402

Tanod imagepeek Image Crop 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).

Crops an image to a specified pixel box or aspect ratio, with configurable gravity, format, and quality.

Price / call$0.002

Seller volume →—

Success—

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 the cropped image as binary data in the requested output format (defaulting to the input format). The image is cropped either to the specified pixel box (top/left/width/height) or to the given aspect ratio using the selected gravity direction. EXIF orientation is applied first if auto_orient is enabled.

Example use cases

Square thumbnail for social media

“Take this product photo at https://example.com/product.png and crop it to a 1:1 square centered on the middle, output as JPEG at quality 90.”

Extract specific region from screenshot

“Crop the region starting at pixel 120 from the top and 80 from the left, 640 pixels wide and 360 pixels tall, from this screenshot: https://example.com/screenshot.png — give me back a PNG.”

Widescreen banner from portrait image

“I have this portrait image as base64 and I need it cropped to a 16:9 aspect ratio, pulling from the north edge, saved as webp at quality 80.”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need a simple, pay-per-call image crop operation without standing up your own image processing infrastructure. It supports both URL-based and base64 image input, aspect-ratio cropping with gravity control, and multiple output formats — making it more flexible than basic crop utilities for agent workflows that need to process images on the fly.

Side effects

Image URL is not publicly accessible or exceeds 10 MB — returns an error
Both url and image_base64 are omitted — returns validation error
Crop box coordinates fall outside image bounds — may return error or clamp
Unsupported or corrupted image format — returns processing error
Invalid aspect ratio string format — returns schema validation error
Network timeout fetching remote image URL

Input

Schema · Request body

Field	Type	Description
top	—	Box mode: top edge in pixels.
url	—	Public http(s) URL of the image (at most 10 MB; private, internal and IP-literal hosts are refused); or use image_base64.
left	—	Box mode: left edge in pixels (give left, top, width and height together, or aspect).
width	—	Box mode: crop width in pixels (1-32768).
aspect	—	Instead of a box, e.g. 16:9, with gravity.
format	—	Output format (default: the input's; ICO in, PNG out).
height	—	Box mode: crop height in pixels (1-32768).
output	string	base64 (default): the file comes back inline as base64. url: the file is stored for 24 hours and the reply carries a download link (url, expires_at, bytes, content_type, sha256) instead of the base64, which keeps the file out of your context window.
gravity	string	Aspect mode: the part to keep: center (default), north, south, east, west, northwest, northeast, southwest or southeast.
quality	—	Encoder quality 1-100 (lossy formats).
auto_orient	boolean	Apply the EXIF orientation first.
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": {
    "box": {
      "top": 60,
      "left": 0,
      "width": 640,
      "height": 360
    },
    "bytes": 104465,
    "input": {
      "bytes": 161713,
      "width": 640,
      "format": "jpeg",
      "frames": 1,
      "height": 480,
      "animated": false,
      "has_alpha": false
    },
    "notes": [],
    "width": 640,
    "format": "jpeg",
    "height": 360,
    "source": {
      "url": "https://python-pillow.org",
      "library": "Pillow",
      "license": "MIT-CMU (HPND)"
    },
    "final_url": "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg",
    "operation": "crop",
    "source_url": "https://raw.githubusercontent.com/ianare/exif-samples/master/jpg/gps/DSCN0010.jpg",
    "data_base64": "/9j/4AAQSkZJRgAB... (trimmed: 139,288 base64 characters in the reply)",
    "content_type": "image/jpeg"
  }
}

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