[PredictHQ’s](https://www.predicthq.com/) easy-to-use global events API gives businesses direct access to a constantly updated and verified event database drawing on billions of data points daily. Events across [19 categories](https://www.predicthq.com/intelligence/data-enrichment/event-categories), from expos to concerts to college dates to natural disasters, are aggregated from hundreds of sources then cleansed, filtered, enriched and verified using our [proprietary data pipeline](https://www.predicthq.com/intelligence).

Companies use this information to inform their demand forecasting and planning, and update their staffing, inventory and pricing strategies to match demand. Teams at Domino’s Pizza, Uber and Accor Hotels trust PredictHQ’s precise and scalable real-world events data to enhance [demand forecasting](https://www.predicthq.com/use-cases/demand-forecasting) models, improve [workforce optimization](https://www.predicthq.com/use-cases/workforce-optimization) strategies, aid [dynamic pricing](https://www.predicthq.com/use-cases/dynamic-pricing) efforts, and much more.

The pandemic upended demand patterns and made them harder than ever to forecast. Companies are increasingly using verified external data to know what will drive demand up or down so they can make the most of every opportunity while mitigating losses. PredictHQ’s feature engineering, which includes applying a Predicted Attendance to each event as well as our Features API for easy integrations, means teams can quickly start driving value.

## Documentation

Learn more about PredictHQ's real-world event data by visiting our [Developer and Data Science Documentation](https://docs.predicthq.com). Our documentation includes a [Quickstart API Guide](https://docs.predicthq.com/guides/quickstart/) to help you get up and running quickly as well as a full list of parameters for our [Events](https://docs.predicthq.com/resources/events/) and [Places](https://docs.predicthq.com/resources/places/) endpoints as well as our [Broadcasts API](https://docs.predicthq.com/start/live-tv-events/) for Live TV events. Finally, learn more about our [Features API](https://docs.predicthq.com/start/features-api/), which removes the friction of accurately aggregating events, enabling you to correlate event data to business demand quickly. Looking at individual spikes often leads to too small of a data set to correlate accurately. Data Aggregation enables data science teams to visualize enough volume of spike days to prove correlations of events to demand.

## Getting started with PredictHQ's event data - A guide for Data Scientists

Join our Data Science Solutions Engineer to walk-through a Step-by-Step demo on [Correlating Demand to Events](https://www.youtube.com/watch?v=cypPHoRbPHo&feature=youtu.be). Our [Data Science Docs](https://docs.predicthq.com/datascience/introduction/) will assist you and your team in getting started with our intelligent event data quickly. Our wealth of resources will enable you to analyze PredictHQ's event data, combine it with your historical demand data, and identify the relationship between the two. The end goal is to ensure you successfully identify correlations and properly feature engineer event data to incorporate it into your existing event data modeling. For additional information, check out our [Dev Docs](https://docs.predicthq.com/), chat with us live at [PredictHQ.com](http://www.predicthq.com/), or email us @ [awsdx@predicthq.com](mailto:awsdx@predicthq.com)

**Disclaimer:** forward looking data subject to change as events are dynamic. Using PredictHQ’s APIs enables you to access the most up to date data.