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Agent Hub Content Moderation (Llama Guard 3)
x402
Agent Hub Content Moderation (Llama Guard 3) is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Checks text input for harmful or policy-violating content using Llama Guard 3, returning an OpenAI-compatible moderation response with flagged status, category scores, and raw Llama Guard codes.
Price / call$0.002
Success—
StatusUnknown
How this service works
OpenAI-compatible moderation (Llama Guard 3): same response shape as OpenAI /v1/moderations with flagged, categories and category_scores, plus the raw Llama Guard codes. Up to 10 inputs per call. Also callable as GET with the same fields as query parameters.
Output
Returns an OpenAI-compatible moderation object containing: a 'flagged' boolean, a 'categories' map of category names to true/false, a 'category_scores' map of category names to float confidence scores, and the raw Llama Guard 3 category codes. Accepts up to 10 inputs per call when using POST; GET accepts a single input as a query parameter.
Example use cases
Pre-publish user comment screening
“Before I post this user comment to the forum, check whether it contains hate speech, violence, or harassment and give me the category scores: 'people like you don't belong here.'”
Chatbot safety filter
“Run moderation on this incoming chat message and tell me if it's flagged and which Llama Guard categories it triggered: 'I know where you live and I'm coming for you.'”
Batch content policy check
“I need to check these three support ticket messages for policy violations — hate speech, self-harm, or sexual content — and get the flagged status and scores for each one before our team reviews them.”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/moderations?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-compatible moderation responses (same schema as /v1/moderations) but want to use Llama Guard 3 as the underlying model, or when you need the raw Llama Guard category codes alongside the standard flagged/categories/category_scores fields. It is a drop-in replacement for OpenAI moderation with no API key required — pay per call at $0.002 USDC. Prefer it over OpenAI's moderation API when you want model transparency, open-weight reproducibility, or Llama Guard's specific category taxonomy.
Side effects
- Missing required 'input' parameter returns a 400-level error
- Input exceeding token limits may be truncated or rejected
- GET method limited to a single text input; array inputs require POST
- Model parameter is accepted but ignored — model selection is fixed to Llama Guard 3
- Non-text inputs (images, audio) are not supported
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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