For the complete documentation index, see llms.txt. This page is also available as Markdown.

Core concepts

The ideas the rest of the docs build on. If you read nothing else before integrating, read these - most integration mistakes come from skipping them.

Recommended order:

  1. Event-driven demand - why real-world events move demand, and the four challenges any integration has to solve

  2. What is Beam? - the relevancy engine that calibrates everything downstream

  3. What is the Features API? - model-ready signals instead of raw event aggregation

  4. Which API should I use? - the right tool per task, including grounding

  5. Data Leakage in Backtesting - why forward-looking features evaluate honestly

Guide to protecting PredictHQ data covers the obligations that come with using the data.

For the recommended path by job - training, grounding, managed forecasts, or demand analysis - start with How to use PredictHQ.

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