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

API reference

PredictHQ provides structured, verified real-world context and demand-aware features for forecasting, ML, and AI systems. The platform is designed to be integrated directly into production models and decision workflows.

See how others are using it on our use cases page.

Core APIs

  • Events API - Structured, deduplicated real-world events for grounding AI systems, explaining forecasts, and building trust in AI-driven decisions

  • Features API - Pre-built, model-ready demand features aggregated from real-world events

  • Forecasts API - Event-driven demand forecasts without building or maintaining your own model

  • Beam API - Identify the real-world events that materially move your demand

  • Saved Locations API - Define and manage reusable business locations for consistent querying across Events, Features, Beam, and Forecasts APIs

Building with AI? Start with Build with AI: the MCP server for grounded access to all of these APIs at inference time, and agent skills that teach AI coding assistants the recommended integration patterns.

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