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Coockies.ai NSFW Content Detector (nsfw3)
x402
Coockies.ai NSFW Content Detector (nsfw3) is a paid API for AI agents from coockies-ai.vercel.app, paid per call via x402, $0.052268/call, status unknown (last checked 2026-10-25).
Analyzes content to detect and classify NSFW (not safe for work) material using AI
Price / call$0.052268
Success—
StatusUnknown
How this service works
194 production-ready API endpoints. AI, Search, Social, Finance, Crypto. Pay-per-call with x402 on Base chain.
Output
Returns a result object containing the NSFW classification outcome, likely including a safety verdict (safe/unsafe), confidence score, and possibly a category breakdown (e.g. explicit, suggestive, clean). The structure follows a generic result wrapper with a data field.
Example use cases
User upload moderation pipeline
“Before publishing any user-uploaded image on my site, I need to screen it to make sure it doesn't contain NSFW or explicit content — can you run this image through the NSFW detector and tell me if it's safe?”
Social feed content filtering
“I'm building a social platform and need to automatically flag posts with inappropriate images. Can you check this image and tell me whether it's NSFW so I can decide whether to hide it from public feeds?”
Dating app profile photo screening
“Someone just submitted a profile photo for my app — can you analyze it to see if it passes a basic NSFW check before it goes live?”
Technical details
Endpoint
POSThttps://coockies-ai.vercel.app/api/nsfw3?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, pay-per-call NSFW classification without managing your own moderation infrastructure. It is well-suited for lightweight content pipelines, prototyping, or low-volume use cases where you want to pay only for what you use. Prefer a dedicated moderation service with detailed category breakdowns and SLAs for high-volume or compliance-critical applications.
Side effects
- Missing or malformed input content returns an error response
- Ambiguous or borderline content may produce inconsistent classifications
- Non-image or unsupported media types may not be processed correctly
- Network or upstream model failures may return empty or null results
- Rate limits or payment failures via x402 may block the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| result | object | API response data |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| result | object | API response data |
Tags
x402
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