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Toxicity Detection
x402
Toxicity Detection is a paid API for AI agents from x402.agentindex.world, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-17).
Classifies text as toxic or not toxic (hate speech, harassment, threats, severe offensive language) and returns a confidence score, with guaranteed sub-4.5s response via LLM fallback.
Price / call$0.002
Success—
StatusUnknown
How this service works
Toxicity detection: classify text as toxic or not toxic (hate speech, harassment, threats, severe offensive language) with a confidence score. Powered by Jev, with an automatic Groq-hosted LLM fallback if Jev is slow or unavailable - under 4.5s guaranteed. Try GET /toxicity/sample.
Output
Returns a toxicity classification (toxic or not toxic), the detected category if toxic (e.g. hate speech, harassment, threats, severe offensive language), and a confidence score indicating how certain the model is in its classification.
Example use cases
User comment moderation pipeline
“Before I post this user comment to our forum, check if it's toxic — is it hate speech, harassment, a threat, or severely offensive? Here's the text: 'People like you shouldn't be allowed to exist on this platform.'”
Customer support message screening
“Screen this incoming support ticket for toxicity before routing it to our team: 'Your product is garbage and your staff are complete idiots who deserve to get fired.'”
Social media reply safety check
“I need to know if this tweet reply is toxic or safe to leave up — classify it and give me a confidence score: 'Shut up you worthless piece of trash, nobody wants to hear from you.'”
Technical details
Endpoint
GEThttps://x402.agentindex.world/toxicity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, pay-per-call toxicity classification with a guaranteed latency SLA (under 4.5s) and no need to self-host or manage a moderation model. Ideal for real-time content moderation pipelines, agent safety filters, or any workflow where a per-call cost model is preferred over subscription. The dual-provider architecture (Jev + Groq fallback) provides higher reliability than single-provider alternatives.
Side effects
- Text exceeds 4000 character limit — request rejected
- Both Jev and Groq fallback unavailable — may timeout beyond 4.5s SLA
- Empty or whitespace-only text input — undefined classification behavior
- Non-English text may yield lower accuracy if not explicitly supported
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to classify, up to 4000 characters. |
Output
Schema · Response
{
"type": "json",
"example": {
"input": "Honestly, anyone who thinks that is a complete idiot who shouldn't be allowed to have an opinion.",
"label": "toxic",
"engine": "jev",
"probability": 0.9,
"alternate_label": "not_toxic",
"alternate_probability": 0.1
}
}Tags
x402
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