Hive Moderation

Hive Moderation is a production-grade AI content moderation platform covering hate speech, adult content, violence, spam, and custom policy classes across text, images, and video. For agents managing user-generated content or operating community platforms, automated moderation at scale is a genuine requirement — manual review doesn't scale with content volume. Hive's multi-modal coverage and high accuracy rates make it a practical choice for production deployment rather than a research-grade API.

The API accepts text, image URLs, or video content and returns classifier scores for each policy class with configurable thresholds. The structured response enables agents to implement tiered action logic — auto-remove high-confidence violations, queue low-confidence content for human review. The synchronous and asynchronous request modes support both real-time and batch moderation workflows.

Authentication uses API keys with account-level access. Content moderation data includes sensitive user-generated content, so API key management and data handling require careful attention. Teams should ensure moderation request data is handled according to applicable privacy regulations, particularly when processing content that may include PII or sensitive user communications.

Reliability for real-time content moderation is critical — moderation delays can create windows where harmful content remains visible. Hive maintains low-latency SLAs for synchronous requests, which is appropriate for pre-publish moderation flows. Teams should implement graceful degradation: if the moderation API is unavailable, decide in advance whether to block all content or allow with delayed review rather than letting the service failure dictate the policy outcome.

Documentation covers the supported content categories, API endpoints, and integration patterns with enough depth for production use. The confidence threshold guidance is particularly useful — teams need to calibrate thresholds per content class rather than applying a single threshold across all moderation categories. Teams new to content moderation systems will find the conceptual framing in the docs helpful alongside the API reference.