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Content Moderation API
x402
Content Moderation API is a paid API for AI agents from content-moderation-api-hhy1.onrender.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Checks text for profanity and explicit terms using a wordlist with leetspeak/obfuscation detection, returning a flag, matched terms with positions, match count, and a redacted version.
Price / call$0.005
Success—
StatusUnknown
How this service works
Check text for profanity/explicit terms (wordlist-based, with basic leetspeak/obfuscation detection); returns a flag, matched terms, and a redacted version.
Output
Returns a JSON object with: a boolean 'flagged' field indicating whether any profanity was detected, a 'matches' array listing each detected term with its start and end character positions, a 'match_count' integer, and a 'redacted_text' string where matched terms are replaced with asterisks.
Example use cases
Moderate user forum posts
“Before publishing this forum reply to our community board, scan it for profanity or explicit language and tell me if it should be blocked: 'This product is absolute sh*t and the support team are complete idiots.'”
Filter chat messages in real time
“A user just sent this chat message — can you check it for offensive or explicit terms and give me a clean redacted version I can show other users: 'Go f*** yourself you worthless piece of crap.'”
Validate user profile bio submissions
“Someone submitted this profile bio on our kids' platform — does it contain any profanity or inappropriate language? Here's the text: 'I'm the b3st pl4yer here and everyone else is an @ss.'”
Technical details
Endpoint
POSThttps://content-moderation-api-hhy1.onrender.com/moderateWhen to prefer
Choose this endpoint when you need a fast, wordlist-based profanity check with leetspeak/obfuscation detection that also returns exact match positions and a ready-to-display redacted version. It is well-suited for real-time moderation of user-generated text in chat, forums, or profile fields where speed matters more than nuanced semantic understanding. Prefer a more advanced ML-based moderation service if you need context-aware detection of hate speech, sentiment, or implicit toxicity beyond explicit keyword matching.
Side effects
- Text exceeding 50,000 characters may be rejected or truncated
- Highly novel obfuscations not in the wordlist may go undetected (false negatives)
- Legitimate words that resemble profanity may be incorrectly flagged (false positives)
- Non-English profanity may not be detected if not in the wordlist
- Empty or whitespace-only input may return unexpected results
- Service hosted on Render free tier may experience cold-start latency or downtime
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to check for profanity/explicit terms. Max 50,000 characters. |
Output
Schema · Response
{
"type": "json",
"example": {
"flagged": true,
"matches": [
{
"end": 17,
"term": "asshole",
"start": 10
}
],
"match_count": 1,
"redacted_text": "You are a *******."
}
}Tags
x402
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