Moderation API gives trust & safety teams frontier moderation models that are purpose-built, trained in-house and ready for production. Instead of prompting a general-purpose LLM, our models were trained from the ground up on a large proprietary dataset of real-world harmful content. That makes them faster, more cost-efficient and harder to fool.
One API covers text, images and other user content, detecting toxicity, harassment, hate, sexual content, spam, scams, phishing, malicious URLs and personal data. Specialist detectors for scams and malicious links go beyond the usual harm categories, and robust handling of obfuscation means evasive content doesn't slip through.
Your policies, enforced precisely: build custom models on your own data in Model studio, or use AI agents that apply your written guidelines with full conversation context. Each result is a clear allow, review or reject recommendation you can automate on immediately.
Human expertise stays in the loop. Flagged content lands in review queues inside a moderation dashboard, where moderators act on bad actors and every decision improves your models over time. Dry-run mode lets you measure accuracy on real traffic before enforcement goes live.
Developer-first from day one: SDKs, a REST API and no-code integrations get you live in hours, not months. GDPR and CCPA compliant, and free to start.