/image/rate endpoint accepts up to 10 image URLs and returns a content rating for each one. By default the response is synchronous — results are returned in the same HTTP response, not via polling. Set "sync": false to queue the task asynchronously and receive a 202 with a task ID instead.
Pricing
/image/rate is priced at $0.0002 per image. Only successfully rated images are charged.
The full amount for all submitted URLs is reserved up front. If a URL fails, the unused reserve for that image is released.
Rate images with the default scale
The default scale has two levels:sfw and nsfw.
Rate images with custom levels
Replace the default scale with 2 to 7 custom levels. Each level requires avalue (the string returned in the result) and a description (used by the rating model to decide which level applies).
Ratings are performed by a vision language model and are non-deterministic. Results for
borderline images may vary between requests. The endpoint is optimised for speed and accuracy
at a high level of abstraction — it is not a fine-grained tagging or classification pipeline.Broad, clearly separated scales work best:
safe / suggestive / explicit, or
safe-for-children / safe-for-adults / nsfw are reliable choices. Scales that rely on
subtle visual distinctions — such as subtle-nudity vs artistic-nudity vs
explicit-nudity — are outside the intended use-case and may produce inconsistent results.
If you need that level of granularity, test thoroughly before relying on the output in
production.Handle per-image errors
Ratings are processed in parallel. If a single image cannot be rated, its result hasstatus: "failed" and an error object. Other images in the same request are not affected.
cost above reflects one successful rating. The full amount for all submitted URLs is reserved up front and the unused reserve is released for any images that fail.
Check each item before reading the level field:
Rate images generated by Mynth
If you want to rate images that Mynth generated, use therating option on the generation request instead. This runs the rating during generation and attaches the result to each image.
See Use Content Rating for details.