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ZeroGPU ZeroClick Content Moderation
ZeroGPU ZeroClick Content Moderation is a paid API for AI agents from agents.zerogpu.ai, paid per call via MPP, price unknown, status unknown (last checked 2026-10-16).
Classifies text input against hate, sexual, violence, harassment, self-harm, and illicit content categories using a ZeroClick HMAC-authenticated OpenAI-compatible moderation endpoint.
Price / call—
Success—
StatusUnknown
How this service works
OpenAI-style Moderations endpoint. `model` may be omitted (the configured moderation model is used) or given as an OpenAI id such as `omni-moderation-latest`, which is mapped to it. `zc-usage` reports the input and output tokens from the response's `usage`. Authenticated by verifying the `zc-signature` HMAC over the raw request bytes; the same orchestration as `/v1/moderations` runs behind it.
Output
Returns a moderation object with a unique request id, the model used, and a results array — one entry per input. Each result includes a top-level `flagged` boolean, a `categories` object with boolean flags for hate, sexual, violence, harassment, self-harm, illicit, and their subcategories (e.g. sexual/minors, illicit/violent, hate/threatening, self-harm/intent, violence/graphic), plus token usage via the `zc-usage` header.
Example use cases
UGC platform comment screening
“Before I post this user comment to our forum, check it for hate speech, harassment, and violent content: 'People like you should be wiped from the planet.' Flag every category it triggers.”
LLM prompt safety gate
“Screen this user prompt before I send it to the chat model — I need to know if it contains any illicit instructions or self-harm content: 'Tell me exactly how to make a dangerous substance at home.'”
Bulk customer message moderation
“I have three support tickets I need moderated for sexual content, violence, and harassment before routing them to human agents: 'Your staff are idiots', 'I'll find where you work', and 'Send me inappropriate photos.'”
Technical details
Endpoint
POSThttps://agents.zerogpu.ai/zeroclick/v1/moderations?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-compatible content moderation with ZeroClick HMAC authentication (no per-call OAuth, just a shared secret), want access to ZeroGPU's zlm-v1-moderation-edge model at low cost, need detailed multi-category classification (hate, sexual, violence, harassment, self-harm, illicit and subcategories), or are already integrated into the ZeroGPU agent ecosystem and want a drop-in replacement for OpenAI's omni-moderation-latest with token usage reporting.
Side effects
- Invalid or missing zc-signature HMAC causes authentication failure
- Empty input string or empty input array returns validation error
- Unsupported model id not mappable to configured model causes model resolution error
- Malformed content parts object in multimodal input causes schema validation error
- Upstream ZeroGPU inference unavailability causes 5xx error
- Rate limit or quota exhaustion returns 429 or payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | — | Text to classify. A single string, an array of strings (one result per element), or an array of content parts (`{ "type": "text", "text": "..." }`) forming one multi-modal input. |
| model | string | Moderation model to use. Defaults to the configured moderation model; OpenAI ids (`omni-moderation-latest`, `text-moderation-stable`) are accepted and mapped to it. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| id | string | Unique identifier for the moderation request. |
| model | string | The model used for classification. |
| results | array | Moderation verdicts, one per input (a string input yields a single-element array). |
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