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AgentRXI Content Moderation (Llama Guard 3)
x402
AgentRXI Content Moderation (Llama Guard 3) is a paid API for AI agents from agentrxi.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 labels, 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 containing: a 'flagged' boolean, a 'categories' object mapping harm category names to booleans, a 'category_scores' object mapping category names to confidence scores (0–1), and raw Llama Guard 3 classification codes. Up to 10 inputs can be submitted per call (POST) or one via GET.
Example use cases
Chatbot input safety filter
“Before my chatbot responds, screen this user message for hate speech, violence, or self-harm: 'I want to kill everyone at my office.' Tell me if it's flagged and which categories triggered.”
User-generated content review
“A user just submitted this comment to my forum: 'Here's how to make a bomb at home.' Run content moderation on it and give me the category scores so I can decide whether to block it.”
Bulk message compliance check
“I have this support ticket to review before escalating: 'You're all idiots and I hope your company burns down.' Check it against Llama Guard 3 and return the flagged status, categories, and raw guard codes.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/moderations?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-compatible moderation output (drop-in replacement for /v1/moderations) but want Llama Guard 3 as the underlying model, or when you need the raw Llama Guard category codes alongside standard scores. Ideal for pay-per-call usage without an OpenAI account, or when cost transparency per call matters. Prefer over generic LLM prompting for moderation since it returns structured, normalized scores rather than free-text verdicts.
Side effects
- Missing required 'input' parameter returns a 400 validation error
- Input exceeding batch limit of 10 items per POST call may be rejected
- Payment failure or insufficient USDC balance results in 402 Payment Required
- Very long inputs increase cost due to per-1000-character pricing
- Network timeout for extremely large batches
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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