> For the complete documentation index, see [llms.txt](https://docs.predicthq.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.predicthq.com/api/beam/overview.md). # Overview Beam is PredictHQ's relevancy engine. It determines which types of real-world events are materially relevant to your business by analyzing your historical demand data - per location. Event impact varies by geography, industry, and demand profile, so Beam quantifies which event signals consistently explain changes in your demand - and your models train on signal instead of noise. The primary output is a set of [Feature Importance](/api/beam/analyses/get-feature-importance.md) results and an `analysis_id`. Pass the `analysis_id` to the [Features API](/api/features/get-features.md) and [Events API](/api/events/search-events.md) to apply demand-calibrated filtering automatically - the relevant event categories, rank thresholds, and location scope, with no manual configuration. Without Beam, feature selection is a manual guess. Run one analysis per location and refresh it monthly by appending new demand data. For many locations sharing a single model, use [Analysis Groups](/api/beam/analysis-groups/get-an-analysis-group.md) to aggregate Feature Importance into one consistent feature set. ## Guides * [What is Beam?](/getting-started/core-concepts/what-is-beam.md) * [Beam guides](/getting-started/guides/beam-guides.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 If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.predicthq.com/api/beam/overview.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.