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

PredictHQ data

What's inside a PredictHQ event record and the predicted attributes layered onto it. These attributes are what make the data usable in models and AI systems: verified events enriched with Predicted Attendance, Predicted End Times, Predicted Event Spend, Predicted Impact Patterns, and rankings.

To understand what kinds of real-world activity are covered, start with Event categories. To understand how impact is scored, read Ranks. Data accuracy covers how the data is verified - the property that grounding and forecasting both depend on.

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