High-Quality Data You Can Trust and Scale

Large scale data analysis needs high quality input.

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San FranciscoSat, 8 July

Hundreds of sources in one API

Aggregation enables quality and precision

We make life easier by handling the aggregation of historical, scheduled and unscheduled events for you. Our systems gather data from hundreds of sources - including all major event APIs. This industry-leading quantum of data enables us to verify and enrich every event from multiple sources. PredictHQ processes billions of data points and we are constantly adding more.

We've cleansed the data for you

Why waste your time cleaning data when you could skip straight to analysis?

Messy and inaccurate data costs teams weeks lost to fiddly, mind-numbing work. PredictHQ has built a powerful engine for cleansing and standardising event data, which had previously been notoriously inaccurate. We have created solutions to programatically fix issues such as incorrect geocoding or spam events. Each month, we delete more than 200,000 misleading events before they reach our customers.

All the attributes you need and more

We enrich every event to give you the full picture

Because we aggregate data from multiple providers for each category and have our own proprietary sources, we are able to identify and add to the best records to create a global source of truth for events. This unique contextual data provide a deeper level of insight and lead to more accurate disruption forecasting and dynamic pricing.

One-dimensional data made more awesome

Know what matters most with ranked events

Our extensive event processing and data science capabilities provides the base for our proprietary ranking technology to suit a wide range of business needs.

PHQ Rank™

Represents the potential impact of an event independent of its geographical location.

PHQ rank

Local Rank™

Represents the potential impact of an event on its local geographical area.

Local rank

Aviation Rank™

Represents the potential impact of an event on air travel.

Aviation rank

Scalable demand intelligence

Manually searching for events and organising them in spreadsheets is time-consuming work, and errors are inevitable. More importantly you can’t integrate it into your dynamic pricing and demand forecasting models so it’s completely unscalable. Trust us: the frustration of manual event visibility is what inspired us to create PredictHQ.

PredictHQ scalable demand intelligence

Predict perfect storms of demand

A perfect storm of demand is when several events are clustered and create greater impact than anticipated. Seeing these coming is essential for disruption forecasting but they are almost impossible to spot without our robust coverage and ranking. The events in the cluster could be several smaller events occurring at the same time with collectively as much impact as a major event.

Event Categories

We cover every major event category, and continue to add more. Our full coverage means you're always prepared, so when your business finds itself in a perfect storm of demand, it’s not a nightmare but an opportunity.

An easy-to-use RESTful API

Constructing your requests to retrieve events using our API is easy and intuitive. We regularly update our Developer Docs too so you're equipped with all the knowledge you need to get started in no time.

Use the Events endpoint to search and filter events.

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curl -X GET "https://api.predicthq.com/v1/events/?category=concerts&active.gte=2018-10-01&rank_level=5&within=10km@32.750820,-97.065927" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer $ACCESS_TOKEN"
import requests

response = requests.get(
    url="https://api.predicthq.com/v1/events/count/",
    headers={
        "Authorization": "Bearer $ACCESS_TOKEN",
        "Accept": "application/json"
    },
    params={
        "category": "concerts",
        "active.gte": "2018-10-01",
        "rank_level": "5",
        "within": "10km@32.750820,-97.065927”
    }
)

print(response.json())

Scenario One

Say you want to find major concerts happening near a hotel (using its geo centre and radius) during a particular date period.

To do this, you can use the parameters category, active.* , rank_level and within.

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Copy
curl -X GET "https://api.predicthq.com/v1/events/?category=concerts&active.gte=2018-10-01&rank.gte=70&place.scope=2147714&sort=rank" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer $ACCESS_TOKEN"
import requests

response = requests.get(
    url="https://api.predicthq.com/v1/events/",
    headers={
        "Authorization": "Bearer $ACCESS_TOKEN",
        "Accept": "application/json"
    },
    params={
        "category": "concerts",
        "active.gte": "2018-10-01",
        "rank.gte": "70",
        "place.scope": "2147714",
        "sort": "rank"
    }
)

print(response.json())

Scenario Two

You can also find significant concerts that happened in a particular city e.g. Sydney, during a particular date period and sort them from highest to lowest rank.

In this case, you could use parameters such as category, active.*, rank.* and our Places endpoint to get your results. PredictHQ uses Geonames data for our Places so it's the same location IDs.

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Copy
curl -X GET "https://api.predicthq.com/v1/events/?start_around.origin=$CURRENT_DATE&category=concerts&country=US&active.gte=$CURRENT_DATE" \
  -H "Authorization: Bearer $ACCESS_TOKEN"
import requests

response = requests.get(
    url="https://api.predicthq.com/v1/events/",
    headers={
        "Authorization": "Bearer $ACCESS_TOKEN",
    },
    params={
        "start_around.origin": "$CURRENT_DATE",
        "category": "concerts",
        "country": "US",
        "active.gte": "$CURRENT_DATE"
    }
)

print(response.json())

Scenario Three

If you want to prioritize what major concerts are happening the soonest in the US, this is where sorting by temporal relevance comes in.

Here we use the start_around.origin parameter to add proximity of an event's start date to the $CURRENT_DATE as a relevance component.

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Get Started

Contact us now to find out the best solutions for your business. We'll get back to you within 1 working day.

Trusted By

  • Accenture
  • Wyndham
  • Booking.com
  • Amadeus
  • Qantas
  • Domino's

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Aviation Rank empowers airline analysts

“Airline analysts have traditionally been swamped with data around events with little guidance on what to do with it. PredictHQ's Aviation Rank changes this, vastly empowering analysts to make simpler, quicker and smarter sense of the impact events have on demand – in turn enabling airlines to optimize inventory and boost revenue."


More details
Benjamin Cany Head of Offer Optimization of Airlines at Amadeus

5x increase in revenue with PredictHQ

“With PredictHQ, we can now use their data and predicted impact to analyze and recommend prices for major events much more easily and accurately."


Read case study
Andrew Kitchell CEO and Founder of Wheelhouse

25% increase in customer sentiment

“PredictHQ has been a fantastic resource. They were able to help us uncover the impact of events, from sporting games, concerts and conferences to the effects of weather and political activity."


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Mirko Lalli Travel Appeal CEO and Founder

35% increase in conversions

“PredictHQ demonstrated that they could reveal insights better than we could guess with our manual alerts. They were instrumental in driving up conversion rates further than we could imagine.”


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Mark von Nagy CIO at Online Republic