Hive Moderation
Automated content moderation for text, images, audio, and video
Hive Moderation helps platforms detect and classify unsafe or policy-violating content across multiple media types. It’s built for teams that need API-based moderation and dashboard workflows rather than manual review alone.
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About
Hive Moderation is a cloud-based content moderation platform for developers and businesses that need to classify user-generated content at scale. According to their site, it covers visual moderation, text moderation, audio moderation, AI-generated content detection, CSAM detection, and a moderation dashboard.
It’s positioned for online platforms and other businesses that need automated policy enforcement and brand-safety controls. Setup appears to center on using Hive’s API and documentation, with a web dashboard available for review and management workflows. The site also highlights a new Vision Language Model that accepts image and text inputs and returns plain-language or structured JSON responses.
Hive appears strongest when you need high-volume moderation across many content types and want outputs that can be used programmatically. The company says it processes billions of API calls per month and returns 50+ metadata classes, which suggests a mature moderation pipeline. That said, it is not a general-purpose autonomous agent; it’s a domain-specific moderation system that classifies content and supports review/removal workflows.
Some technical and commercial details are still unclear from the homepage alone. The pricing page exists, but pricing was not visible in the crawled content, so pricing is not publicly available here. Privacy and model implementation details are also limited in the provided content beyond the mention of Hive VLM and JSON/text outputs. This is probably not the right fit if you want a consumer app, a local/offline tool, or a broad AI assistant outside content safety.
Responds to prompts but takes no autonomous action.
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