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Protect your community at scale. AI moderation agents instantly filter toxic text, ban spammers, and block NSFW images 24/7.
Built for community managers, marketplace founders, and Trust & Safety teams dealing with high volumes of user-generated content (UGC).
Explore custom solution or see our guide to ai support agent.
Integrate the moderation API into your app's chat/upload flow, or connect it to your Discord/Reddit server.
Define your thresholds for NSFW, hate speech, and custom rules (e.g., 'ban cryptocurrency links').
The agent intercepts content. Clean content passes immediately, toxic content is deleted, and borderline content goes to a human queue.
Эти инструменты позволяют запустить ИИ-агента для content moderation без написания кода.
| Tool | Best For |
|---|---|
| Sightengine | Image and video moderation API |
| OpenAI Moderation API | Free/low-cost text classification |
| ActiveFence | Enterprise Trust & Safety tracking |
| Hive Moderation | Best-in-class visual and audio AI moderation |
We may earn a commission when you sign up via our links. How we recommend tools
Human moderation doesn't scale for consumer apps or large forums. AI moderation agents operate via API, intercepting user-generated content before it goes live. They classify intent, sarcasm, and regional dialects to flag or automatically block abusive content, escalating borderline cases to human trust & safety teams.
В отличие от обычного чат-бота или ручного процесса, ИИ-агент работает автономно и интегрируется с вашими существующими инструментами. По прогнозам Gartner, к 2026 году более 80% предприятий будут использовать GenAI API или приложения.
Заказать индивидуального ИИ-агента или сравнить с AI Support Agent.
Modern LLM-based moderators are highly context-aware. They look at the conversation history and understand regional slang much better than legacy keyword-blocking filters.
We build for trust and safety teams—your workflows, your stack, no code.
One email, no spam. We'll send a short checklist to pick and deploy the right AI agent for your use case.
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