# Integrate with Beam

## Quick Insights from the WebApp

Check out this video to see how easy it is to upload your demand data and start pulling insights in no time:

{% embed url="<https://www.youtube.com/watch?v=VCmuUScyi_8>" fullWidth="false" %}
Introduction to Beam
{% endembed %}

Need more details? Browse our [Support articles](broken://spaces/Ri9YaBiPckypV66Jggc2/pages/Vd74CysEm4yqN23ZkHmX).

## Scale with the Beam API

Refer to our [technical documentation](/api/beam/overview.md) for how you can use Beam securely in your environment.

For the recommended production architecture — including how Beam fits into a full pipeline with Saved Locations, the Features API, and the Events API, with the right refresh cadence and data storage patterns — see the [Standard Integration Pattern](/integrations/integration-guides/standard-integration-pattern.md).

## How-To Data Science Guides

Explore our [guides](/getting-started/guides/beam-guides.md) for detailed instructions on incorporating Beam into your data science processes.


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# Agent Instructions: 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:

```
GET https://docs.predicthq.com/integrations/integration-guides/beam-data-science-guide.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.