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CoCo Profanity Checker
x402
CoCo Profanity Checker is a paid API for AI agents from cocoeatsai.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Detects whether a given text string contains profanity and returns a censored version of the text
Price / call$0.001
Success—
StatusUnknown
How this service works
Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.
Output
Returns a JSON object with a boolean 'contains_profanity' field indicating whether profanity was detected, and a 'censored' string field containing the original text with any profane words replaced or masked.
Example use cases
Moderating user-generated forum posts
“Before I publish this forum reply, check if it has any profanity in it: 'I can't believe how absolutely awful this service is, it's complete bull***t.' — and give me the cleaned-up version.”
Screening chatbot responses for safe output
“Run this chatbot response through a profanity check before it gets sent to the user: 'You can go to hell if you think this policy makes sense.' I need to know if it's flagged and what the censored text looks like.”
Validating product review submissions
“A customer just submitted this review — can you check it for bad language before it goes live on the site: 'Absolute garbage, this piece of crap broke after one day.'”
Technical details
Endpoint
GEThttps://cocoeatsai.com/area4/agent/tools/profanity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.001 per call) profanity detection and censoring service that returns both a boolean flag and a censored version of the text in a single call. Ideal for real-time content moderation pipelines where you need both detection and sanitization simultaneously without running two separate operations.
Side effects
- Missing 'text' query parameter returns an error or empty result
- Very long text strings may be truncated or timeout
- Edge cases with creative spelling or leetspeak may not be detected
- Non-English profanity may not be detected reliably
- Empty string input may return unexpected results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"censored": "The cat sat on the mat. This is an English example.",
"contains_profanity": false
},
"exampleNote": "Computed offline with demonstration inputs; time/random values are illustrative."
}Tags
x402
Reviews
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