Automate your content moderation with intelligent AI models, smart escalation logic, and cost-optimized decision making. Support for OpenAI, Anthropic, Google, and more.
Everything you need to automate content moderation while maintaining accuracy and reducing costs
Real AI integration with leading providers including OpenAI, Anthropic Claude, Google Gemini, Groq, and custom APIs. Get structured moderation decisions with confidence scores and reasoning.
Automatically escalate uncertain decisions to more powerful models. Use fast, cheap models for most decisions and advanced models only when needed, optimizing both cost and accuracy.
Configure different AI providers for primary and escalation models. Switch between OpenAI, Anthropic, Google, Groq, Ollama, or use any OpenAI-compatible API endpoint.
Graceful fallbacks for API failures, rate limits, invalid keys, and service outages. Comprehensive timeout protection prevents hanging requests and ensures reliability.
Monitor moderation metrics, view pending reviews, configure AI models, and manage API keys through a modern, responsive admin interface built with Astro.
API key-based authentication with IP whitelisting, role-based permissions, key rotation, and JWT support. Built for security and compliance from day one.
Simple, efficient, and intelligent content moderation in four steps
Send posts with titles, descriptions, images, and metadata through our REST API. Support for text analysis and vision models for image content.
Your configured primary model (e.g., GPT-4o-mini, Claude-3-haiku) analyzes the content and returns a decision with confidence score and reasoning.
When confidence is below threshold or decision is uncertain, automatically escalate to a more powerful model (e.g., GPT-4o, Claude-3-opus) for final decision.
View all decisions in the dashboard, manually review flagged items, adjust confidence thresholds, and monitor your moderation metrics in real-time.
Flexible pricing for teams of all sizes
Join companies using AI-powered moderation to protect their communities while reducing costs and improving accuracy.