Jockey
Video intelligence agent searching and parsing large media libraries.
Quick Keypoints
- Orchestrates natural language searches across raw video assets.
- Leverages Marengo and Pegasus foundation models for video context.
- Extracts structured machine-readable metadata and clip locations.
- Integrates with assistants via Model Context Protocol support.
What is Jockey?
Video intelligence agent searching and parsing large media libraries.
Jockey is Twelve Labs' agentic video intelligence preview platform. Powered by Twelve Labs' Marengo and Pegasus video foundation models, Jockey processes raw media files to support natural language queries, trace actions across shots, and output structured metadata files.
Who Needs Jockey?
Video editors, media archiving teams, and developers building semantic media applications.
Primary Use Cases
- Streamlining team workflows and automations.
- Summarizing and organizing complex content assets.
- Enhancing day-to-day productivity using smart AI helpers.
Important Features
- Media Search: Retrieve clip intervals based on conceptual commands without tags.
- Structured Extraction: Automatically map scenes, timeline transcriptions, and keywords into clean JSON data.
- MCP Connectors: Allow external LLMs to query media database states through standard endpoints.
Current Updates About Jockey
- Released as a research preview powered by Pegasus, Marengo, and Search models, supporting Claude MCP connector.
- Current Version: Research Preview
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Pricing Plans
| Plan | Price |
|---|---|
| FreeIncludes 5GB storage and 15 responses per day for exploration. | Free |
| PlusIncludes 100GB storage and 40 responses per day. | $20/mo |
| ProIncludes 500GB storage and 200 responses per day. | $100/mo |
Editorial Verification
Independent Testing
This review was audited under our 5-Pillar Testing Framework: Output Quality, UI/UX Ease, Pricing Transparency, Feature Depth, and Support.
Read Our Review Methodology →Explore Related Automation & AI Agents Tools
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