Events API for Ranked Real World Events

API for Ranked Real World Events

Multiple data streams in just one API

So you understand that real world events have the potential to impact your business and therefore your bottom line. For example, if Adele is in town, your taxi company, hotel or pizza restaurant might experience an increase in demand. Similarly, if there’s a volcanic eruption that causes significant airport delays, or a hurricane comes out of nowhere and turns your normally peak season into tumbleweed central, you can see how your business might experience low demand or even high cancellations. But how do you figure out what events are more likely to have the most local event impact? And is there a way to look into the past to see what impact historical events had on your business, and therefore which ones could do the same in the future?

The answer is PredictHQ. Our intuitive demand intelligence API makes it easy to see at a glance when scheduled and unscheduled events are happening, where. We collate and aggregate all of these events into one handy place, so you can find out what events are happening and when, foretell how likely they’re going to impact your profit margins, then come up with a plan to make the most of these events or mitigate their local event impact. It’s a real science that we’ve refined down to a tee, and we’d love to share it with your business. Want to do more with our data? Download and store our location-based event data so you can search and analyze your own local copy.

Ranked Events

Not sure what events matter most? Don’t worry - we’ve sorted them for you

Concerts, festivals, sporting fixtures, conferences, expos, natural disasters, airport delays, even terror … whatever the event, we’ll give you the heads-up about it. PredictHQ’s API gives you access to millions of scheduled and unscheduled global real world events across 18 categories - and counting - and enables you to find relevant events to your business with a simple REST call. We don’t simply tell you what events are happening when, though. Our smart in-house ranking algorithm assigns a numerical rank to every piece of event data we store, so you can filter from major to minor events and see at a glance which ones you should pay special attention to. From there, the power of hard data is in your hands. Plan marketing campaigns that leverage likely increased demand, allocate more inventory or seats on planes, or roster on more staff. Our ranking algorithm uses soft data as part of our calculations, however we put more emphasis on the use of hard data so as a result, you can understand the potential impact an event will have over another. For example, a Bee Gees concert versus an Ed Sheeran one. PredictHQ enables businesses like yours to discover the world of demand intelligence, and use that intel to make solid business decisions.

Making Flat Event Data Intelligent

We understand that your time is valuable. That’s why we’re committed to sourcing, enriching, de-duping and ranking data that’s relevant to your business, so you don’t have to. We pull hundreds of data streams and third party APIs into one smart information source so all the scheduled and unscheduled events that could impact your industry can be found in one handy place. Lookup events by searching within a geographical radius, using IATA codes or geographical place names. You can query multiple categories and locations simultaneously and get JSON responses. Integrate our data with any platform thanks to our easy-to-use API. We also have Python and JavaScript SDKs available. We use the OAuth 2.0 standard for authentication, and access tokens are required to grant application access to the tools available in the API. Your developers won’t need to spend precious time capturing, cleaning and maintaining disparate data sources, plus our API is versioned for easier maintenance, reducing operational costs. Use our API to search for relevant event data to display in your app, or download and store event data to use in your own data modeling and analysis and improve demand forecasting methods.