API for Local Events

Local Events, Globally, In One Platform.

One API for making AI and demand forecasting context-aware

Local events create measurable demand impact and business value. Enhance the capabilities of your AI models by incorporating real-world event context that predicts demand volatility and pinpoints how events impact your business performance. PredictHQ provides ML-ready event data with impact scoring that enables your models to generate precise demand forecasts and revenue optimization for specific locations, with machine-learning explainability. Being able to access verified local events for any city in the world, for as many cities as you need, will provide critical context for your demand planning and forecasting.

Transform local event data into revenue-driving AI predictions. PredictHQ doesn’t just identify what's happening - it delivers impact-scored event data that enables your AI to predict exactly how local events will impact your demand and revenue, even when events are cancelled, postponed, relocated, or have maximum attendee restrictions.

Additionally, PredictHQ provides pre-built machine learning features that quantify event impact, enabling your AI models to make accurate demand forecasts and optimize business decisions automatically. Companies like Instacart use PredictHQ to optimize operations and save money by making their systems context-aware.

💡 Access upcoming local events today: Improve forecasts, operational platforms, event calendars & more. Get started

Turn Local Events into Predictable Revenue

Make data-driven decisions with precise and complete context

PredictHQ's platform enables your AI models to transform local events into predictable revenue opportunities. The Local Events API, one of the many PredictHQ APIs, provides the real-world context that improves the performance of AI models when calculating demand impact and generating accurate demand forecasts. Access impact-analyzed event data and predictions that enable your machine learning systems to translate intelligent event data into actionable business insights, driving measurable ROI from local event opportunities.

Focus on the Local Events That Matter Most

A relevancy engine identifying which events impact your business

Enable your AI to predict and capitalize on event-driven demand surges for any specific location with PredictHQ’s relevancy engine, Beam. Go beyond just curating event listings to capture the real-world context that improves demand forecast accuracy. Impact-ranked event data enables your AI models to translate local events into revenue forecasts, showing exactly how each event and the expected attendance will affect business performance and enabling proactive optimization strategies.

Real-World Context Built for Your AI

Skip the complexity of building context-aware AI from scratch

Building context-aware AI in-house means years of infrastructure, scoring logic, and maintenance. Skip all of that, and start with a production-ready API that delivers contextual intelligence across 18+ event categories, enabling your AI to predict demand impact accurately. Focus on optimizing business outcomes instead of building data platforms.

Making Flat Event Data Intelligent — Instantly

Event data is messy, scattered across countless sources, and rarely ready for immediate use. PredictHQ aggregates, cleans, enriches, and scores millions of scheduled and unscheduled real-world events from over 25,000 cities worldwide. The result is machine-readable, intelligent event data that’s ready for AI, forecasting models, operational systems, and analytics workflows without the weeks of wrangling usually required.

PredictHQ is ready for integration:

• ML-ready, real-world event context for 25,000+ cities, globally
• Impact-scored event data for accurate demand prediction
• Enterprise-grade reliability with versioned APIs
• Easily integrate with AWS, Snowflake, Databricks, and more
• Quick-start with Python and JavaScript SDKs

💡 Talk to an Expert: Learn how strategic demand intelligence can transform your planning and forecasting. Get in touch