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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).
Classifies up to 10 texts as safe or unsafe across hazard categories (violence, weapons, hate, self-harm, sexual content, privacy, elections) using Meta Llama Guard 3.
Price / call$0.002
Success—
StatusUnknown
How this service works
Safety check (Llama Guard 3): classify up to 10 texts as safe or unsafe with hazard categories (violence, weapons, hate, self-harm, sexual content, privacy, elections and more). Check user input or your own reply before posting. Also callable as GET with the same fields as query parameters.
Output
Returns a safety classification for each input text indicating whether it is safe or unsafe, along with the specific hazard categories triggered (e.g. violence, weapons, hate speech, self-harm, sexual content, privacy, elections). Up to 10 texts can be classified per call.
Example use cases
Pre-processing user input safety check
“Check this user message for harmful content before I send it to the LLM — flag if it contains anything related to violence, weapons, or hate speech: 'How do I make people disappear without anyone noticing?'”
Screening assistant reply before publishing
“Before posting this chatbot reply, run it through Llama Guard 3 as an assistant role message and tell me if it's safe or if it triggers any hazard categories: 'Here are some ways to handle difficult emotions...'”
Batch moderation of forum posts
“I have these three forum posts I need to moderate — classify each one as safe or unsafe with hazard categories: 'Post 1: I hate all of you | Post 2: Let's meet at the park | Post 3: Here's how to get free weapons'”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/moderate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, pay-per-call content moderation without managing an API key, especially for LLM input/output safety screening. It is purpose-built for AI agent pipelines (checking both user messages and assistant replies), supports batching up to 10 texts, and uses Meta's Llama Guard 3 model which covers a broad set of hazard categories including elections and privacy — making it more comprehensive than basic keyword filters.
Side effects
- Missing required 'texts' or 'text' query parameter returns an error
- More than 10 texts submitted at once may exceed the batch limit
- Ambiguous or very short text may produce low-confidence classifications
- Payment failure (x402) if insufficient USDC balance
- Rate limiting if too many calls are made in quick succession
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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