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AgentRXI Image Diff (Visual Regression)
x402
AgentRXI Image Diff (Visual Regression) is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-15).
Compares two images pixel by pixel, returning a count and percentage of differing pixels with configurable fuzz tolerance, plus a highlighted diff image showing changes in red.
Price / call$0.005
Success—
StatusUnknown
How this service works
Compare two images pixel by pixel (visual regression testing for screenshots): count and percent of differing pixels with a fuzz tolerance, plus a diff image with the changes highlighted in red. Also callable as GET with the same fields as query parameters.
Output
Returns a JSON object containing the count of differing pixels, the percentage of the image that differs, and a base64-encoded diff image (or a 7-day shareable link if store=true or the payload exceeds 3MB) with changed regions highlighted in red. The fuzz tolerance applied is also reported.
Example use cases
UI regression check after deployment
“I just deployed a frontend update — can you compare this before screenshot https://myapp.com/screens/before.png with this after screenshot https://myapp.com/screens/after.png using a 3% color fuzz tolerance and show me a diff image highlighting exactly what changed?”
Design mockup comparison for QA
“My designer sent two versions of the same mockup — compare https://designs.io/v1.png and https://designs.io/v2.png pixel by pixel and tell me what percent of the image changed, with a fuzz of 2% to ignore compression artifacts.”
Monitor website visual changes
“Check if our homepage looks the same as it did yesterday — diff https://mysite.com/snapshots/yesterday.png against https://mysite.com/snapshots/today.png and give me the diff image as a shareable link so I can send it to the team.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/image/diff?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need pixel-level visual regression testing between two images — especially for UI screenshots, design mockups, or any scenario where you need an exact quantified diff (count + percentage) and a visual red-highlight overlay. Prefer it over generic image similarity APIs when you need both a numeric metric and a rendered diff image. Best suited for automated QA pipelines, before/after deployment checks, and design review workflows.
Side effects
- Invalid or unreachable image URL — returns an error if url_a or url_b cannot be fetched
- Images with mismatched dimensions may produce unexpected results or an error
- Payload exceeds 3MB threshold without store flag — automatically falls back to shareable link
- Malformed base64 input causes decoding failure
- Unsupported image format returns a format error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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