# Origin Nexus ## Origin Nexus - [Getting started](https://knowledgebase.fabricdata.com/origin/getting-started.md) - [Solutions](https://knowledgebase.fabricdata.com/origin/solutions.md) - [APIs: All](https://knowledgebase.fabricdata.com/origin/apis-all.md) - [Entertainment API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs.md) - [Initial Ingest and Ongoing Maintenance](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs/initial-ingest-and-ongoing-maintenance.md): This guide covers Fabric Entertainment catalog ingestion and maintenance. Parallel ID enumeration and hydration ingest about 5.1 million records in 3–4 hours. - [Metadata Match Guide](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs/metadata-match-guide.md) - [Collections Guide](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs/collections-guide.md) - [Trending On Guide](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs/trending-on-guide.md) - [Entertainment](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs/entertainment.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/entertainment-api-docs/models.md) - [Celebrity API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/celebrity-api-docs.md) - [Celebrity](https://knowledgebase.fabricdata.com/origin/apis-all/celebrity-api-docs/celebrity.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/celebrity-api-docs/models.md) - [Image API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/image-api-docs.md) - [Images](https://knowledgebase.fabricdata.com/origin/apis-all/image-api-docs/images.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/image-api-docs/models.md) - [Video API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/video-api-docs.md) - [Videos](https://knowledgebase.fabricdata.com/origin/apis-all/video-api-docs/videos.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/video-api-docs/models.md) - [Video Analytics API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/video-analytics-api-docs.md) - [Analytics](https://knowledgebase.fabricdata.com/origin/apis-all/video-analytics-api-docs/analytics.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/video-analytics-api-docs/models.md) - [Common Metadata API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/common-metadata-api-docs.md) - [Common](https://knowledgebase.fabricdata.com/origin/apis-all/common-metadata-api-docs/common.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/common-metadata-api-docs/models.md) - [Fandango API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/fandango-api-docs.md): A walk you through implementing the API including theatre info, movie, showtimes, and linked Fabric Origin IDs for gathering extended metadata such as posters, cast, etc. - [Fandango](https://knowledgebase.fabricdata.com/origin/apis-all/fandango-api-docs/fandango.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/fandango-api-docs/models.md) - [Captions and Translations API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/captions-and-translations-api-docs.md) - [Rev](https://knowledgebase.fabricdata.com/origin/apis-all/captions-and-translations-api-docs/rev.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/captions-and-translations-api-docs/models.md) - [Metacritic API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/metacritic-api-docs.md): Implement Metacritic reviews and MetaScores using Fabric Origin's Id's. - [Metacritic](https://knowledgebase.fabricdata.com/origin/apis-all/metacritic-api-docs/metacritic.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/metacritic-api-docs/models.md) - [Common Sense Media API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/common-sense-media-api-docs.md): Implement Common Sense Media reviews using Fabric Origin's Id's. - [Commonsense](https://knowledgebase.fabricdata.com/origin/apis-all/common-sense-media-api-docs/commonsense.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/common-sense-media-api-docs/models.md) - [Rotten Tomatoes API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/rotten-tomatoes-api-docs.md): Origin users can now access Tomatometer, Audience Scores, critic snippets, critics consensus, “Critically Acclaimed” (titles "Certified Fresh"), promotions, and analytics using matched Origin IDs. - [Rottentomatoes](https://knowledgebase.fabricdata.com/origin/apis-all/rotten-tomatoes-api-docs/rottentomatoes.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/rotten-tomatoes-api-docs/models.md) - [Rabbit Recommendations API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/rabbit-recommendations-api-docs.md) - [Rabbitrecommendations](https://knowledgebase.fabricdata.com/origin/apis-all/rabbit-recommendations-api-docs/rabbitrecommendations.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/rabbit-recommendations-api-docs/models.md) - [TV Grid Online API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/tv-grid-online-api-docs.md): This implementation guide will walk you through implementing the TV Grid Online APIs including lineups, teams info, and linear grid data. - [Tvgrid](https://knowledgebase.fabricdata.com/origin/apis-all/tv-grid-online-api-docs/tvgrid.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/tv-grid-online-api-docs/models.md) - [Katch Media API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/katch-media-api-docs.md): Implement Katch Data’s genomic movie and TV data by traits and content clusters. - [Katchmedia](https://knowledgebase.fabricdata.com/origin/apis-all/katch-media-api-docs/katchmedia.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/katch-media-api-docs/models.md) - [Red Bee API Docs](https://knowledgebase.fabricdata.com/origin/apis-all/red-bee-api-docs.md) - [Models](https://knowledgebase.fabricdata.com/origin/apis-all/red-bee-api-docs/models.md) - [FAQ](https://knowledgebase.fabricdata.com/origin/faq.md) - [Availabilities JSON Schema](https://knowledgebase.fabricdata.com/origin/availabilities-json-schema.md) - [Example Queries](https://knowledgebase.fabricdata.com/origin/example-queries.md) - [Video Selection Guide](https://knowledgebase.fabricdata.com/origin/video-selection-guide.md) - [Video Players](https://knowledgebase.fabricdata.com/origin/video-players.md): Video content is encoded in traditional MP4 containers in various bit rates as well as several Adaptive Streaming formats to work with all modern players on all devices. Com - [Video Format Specifications](https://knowledgebase.fabricdata.com/origin/video-format-specifications.md) - [Release notes](https://knowledgebase.fabricdata.com/origin/release-notes.md) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation This site has an agentic ask interface you may use to query the documentation dynamically by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://knowledgebase.fabricdata.com/origin/index.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. 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