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SiteCheck Content Moderation
x402
SiteCheck Content Moderation is a paid API for AI agents from api.sitecheck-api.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-19).
Checks text or a chat conversation for unsafe content using Llama Guard 3, returning a safety classification with flagged categories
Price / call$0.002
Success—
StatusUnknown
How this service works
Safety check of a text or a chat turn with Llama Guard 3: safe or unsafe, and the violated categories (S1 to S14, named in plain words). Send text, or messages (up to 20 turns). Classifies only; it does not change or block anything.
Output
Returns a JSON object with a boolean 'safe' field indicating whether the content passed moderation, the model name used (Llama Guard 3 8B via Cloudflare Workers AI), the source description, a timestamp, and an array of flagged safety categories (empty if content is safe).
Example use cases
Pre-publish user comment screening
“A user just submitted this comment on our platform: 'You people are all subhuman trash and deserve to disappear.' Can you moderate it and tell me whether it's safe to publish and which safety categories it violates?”
AI chatbot output safety check
“My AI assistant just generated this response to a customer: 'Here's a step-by-step guide to picking a lock.' Before I relay that to the user, can you run it through content moderation to make sure it's safe?”
Multi-turn conversation audit
“Here's the last few turns of a conversation on our platform — user said 'how do I hurt someone without getting caught', assistant replied 'I can't help with that'. Can you run the full chat through content moderation and flag anything unsafe?”
Technical details
Endpoint
POSThttps://api.sitecheck-api.workers.dev/api/moderate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pay-per-call content moderation check powered by Meta's Llama Guard 3 model without managing your own moderation infrastructure. It accepts both raw text and structured multi-turn chat histories, making it suitable for screening both UGC and AI assistant outputs. Prefer it over OpenAI Moderation or AWS Rekognition when you want a single unified pay-as-you-go API with no subscription, and when you need Llama Guard 3's specific safety category taxonomy.
Side effects
- Text exceeds 8,000 character limit — request rejected
- More than 20 chat message turns provided — request rejected
- Malformed messages array (missing role or content fields) — validation error
- Payment not provided or insufficient — 402 Payment Required
- Network timeout on Workers AI inference — 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to check, up to 8,000 characters |
| messages | array | Or chat turns: {role: user or assistant, content}, up to 20 |
Output
Schema · Response
{
"type": "json",
"example": {
"safe": true,
"model": "@cf/meta/llama-guard-3-8b",
"source": "Llama Guard 3 (Workers AI)",
"checkedAt": "2026-10-14T07:05:00.000Z",
"categories": []
}
}Tags
x402
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