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Citiview Agent Market – Llama Guard 3 Content Moderation
x402
Citiview Agent Market – Llama Guard 3 Content Moderation is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.0034/call, status unknown (last checked 2026-10-15).
Checks text for harmful or policy-violating content using Llama Guard 3, returning OpenAI-compatible moderation results with flagged status, category scores, and raw Llama Guard codes.
Price / call$0.0034
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. Priced by size: $0.003 + $0.0004 per input + $0.0004 per 1,000 characters. Also callable as GET with the same fields as query parameters.
Output
Returns an OpenAI-compatible moderation response object with: a top-level `flagged` boolean, a `categories` object mapping harm category names to booleans, a `category_scores` object with confidence floats per category, and the raw Llama Guard 3 classification codes. Supports up to 10 inputs per POST call; GET supports a single input via query parameter.
Example use cases
User-generated comment screening
“Before we publish this comment to the forum, can you check if it contains hate speech, threats, or explicit content: 'I know where you live and you'll regret this'? Tell me if it's flagged and which categories triggered.”
Batch chatbot input filtering
“Screen these three user messages for policy violations before my chatbot responds to them: 'how do I make explosives?', 'what's the weather today?', and 'I want to kill my sister' — flag any that are unsafe and show me the category scores.”
Moderation pipeline integration check
“Run a quick Llama Guard safety check on this AI-generated response to make sure it doesn't contain anything harmful before I send it to the end user: 'Here is a step-by-step guide on how to bypass security systems.'”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/moderations?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need an OpenAI-compatible moderation API but want Llama Guard 3 as the underlying model instead of OpenAI's classifier — particularly useful for open-model pipelines, avoiding OpenAI dependency, or when raw Llama Guard category codes are needed alongside standard moderation fields. Also useful when you need to moderate up to 10 texts in a single call at a low per-call cost.
Side effects
- Missing required `input` parameter returns a validation error
- Input exceeding token limits may be truncated or rejected
- GET method only supports single input; batch inputs require POST
- Network or upstream Llama Guard model errors may return 5xx responses
- Payment failure (x402) blocks request if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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