Sightengine

Sightengine specializes in image and video content moderation with a clean API and predictable pricing. It covers nudity, violence, weapons, hate symbols, faces, and image quality detection. For agents that need visual content moderation without the complexity of a full multi-modal platform, Sightengine is a practical choice. The narrower focus on images and video (vs. Hive's text+image+video coverage) is appropriate when visual UGC is the primary moderation concern.

The API accepts image URLs or file uploads and returns scored results per moderation category. The synchronous API is suitable for real-time pre-publish flows; the batch workflow handles higher volumes asynchronously. Combining multiple detection models in a single request reduces latency compared to chaining separate calls, which is important for real-time moderation workflows.

Authentication uses API key and API secret pairs. The dual-credential model adds a layer of security compared to single-key auth. Teams should store both credentials securely and avoid exposing them in client-side code, particularly since content moderation requests often pass image URLs that may reveal information about moderated content.

Reliability is strong for a focused moderation API. Image-focused services generally have more predictable performance characteristics than multi-modal platforms because they handle a narrower input type. Teams should implement fallback behavior for API unavailability, as with any content moderation dependency that gates content publishing.

Documentation is well-organized and practical. The model documentation explains what each detection model covers and its accuracy characteristics, which is necessary information for setting appropriate thresholds. Code examples in multiple languages make integration quick. Teams building image moderation workflows will find the docs sufficient for production integration.