> 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/readme.md). # 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](https://www.predicthq.com/use-cases). ## Core APIs * [Events API](/api/events/search-events.md) - Structured, deduplicated real-world events for grounding AI systems, explaining forecasts, and building trust in AI-driven decisions * [Features API](/api/features/get-features.md) - Pre-built, model-ready demand features aggregated from real-world events * [Forecasts API](/api/forecasts/overview.md) - Event-driven demand forecasts without building or maintaining your own model * [Beam API](/api/beam/overview.md) - Identify the real-world events that materially move your demand * [Saved Locations API](/api/saved-locations/overview.md) - Define and manage reusable business locations for consistent querying across Events, Features, Beam, and Forecasts APIs Building with AI? Start with [Build with AI](/ai/build-with-ai.md): 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. --- # 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/readme.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.