Forecasting Features

Reduce your time to production by using PredictHQ’s API. Our forecasting features are designed to make your data models more accurate with less work on your end.
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Aggregating Event Attendance

Find the total impact of events on a given day

Having insights into individual events is useful, but when it comes to demand forecasting, it’s useful to be able to identify peaks and throughs in demand on a daily basis.

The Features API reduces friction in forecasting by aggregating the total predicted attendees of events occurring in key locations on any given day. That means you spend less time trying to add up event attendees and then look for the spikes in demand. Instead, the Features API instantly shows you which days will be most impactful, and you’re able to drill down from there to see the individual event data.

Learn about the Features API
RawCurlPython
POST /v1/features HTTP/1.1
      Accept: application/json
      Authorization: Bearer $ACCESS_TOKEN
      "location": {
            "place_id": ["4887398"]
      },
      "active": {
            "gt": "2019-02-01",
            "lt": "2019-02-28"
      },
      "phq_attendance_conferences": {
            "stats": ["sum"]
      },
      "phq_attendance_sports": {
            "stats": ["sum"]
      }
Relevance features

Search for events occuring within a certain radius

Event locations matter. If there’s a big expo occuring next to a downtown hotel and a coffee shop, those businesses will see an uptick in patrons on those days due to the influx of people attending the event. Your business’s proximity to events that drive demand will be a good indicator of the scale of the impact you’ll experience from them.

The PredictHQ API relevance endpoint provides a number of parameters that you can use to understand an event’s importance to you. Features such as Radial Search allow you refine your results based on an event’s physical proximity to locations that matter to you and your business.

Developer documentation on relevance
RawCurlPython
GET /v1/events/?location_around.origin=40.782409,-73.971885&location_around.offset=1km&start_around.origin=$CURRENT_DATE&q=jazz&category=concerts&country=US&active.gte=$CURRENT_DATE HTTP/1.1

Authorization: Bearer $ACCESS_TOKEN
Label Features

Explore event labels for more granulatiry

Not only do events themselves matter, but specific types of events will impact your business differently. Having labels adds rich context to the categories of events that you’re analyzing.

For example, you might have a Community Event occuring near one of your key locations. Being able to know whether that event is a fundraising event vesus a religious gathering can influence your forecasting models. If you know for certain that religious gatherings are influential, but fundraising events are not, you can exlude events with the “fundraising” label and ensure that it doesn’t interfere with your models.

Learn about Labels
RawCurlPython
GET /v1/events/?label=fundraiser HTTP/1.1

Accept: application/json

Authorization: Bearer $ACCESS_TOKEN

Create a new access token via API clients

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All API features
PredictHQ's Demand Intelligence API features were built to expedite your forecasting and unlock revenue opportunities for your business.
  • Radial search
  • NLP Labels
  • PHQ End Times
  • Geocoded Events
  • Umbrella Events
  • PHQ Attendance
  • Location search parameters
  • Recurring Events
  • Directional Flow
  • Geographical place scope

Customer Stories

Demand intelligence gets results

PredictHQ's customers include leading companies across a range of industries, including accommodation, transport, and retail. They're using our intelligent event data for labor optimization, demand forecasting, dynamic pricing, supply chain optimization and more.
Explore use cases More customer stories
Thomas Joseph
Head of Data Science , 
Legion
Thomas Joseph
Head of Data Science , 
Legion
Don't underestimate how much effort it takes to work with event data... Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us.
Read Legion’s Story
PRICING

Every plan starts with an all access 14 days free trial

Choose our Lite or Premium plan and we will build a customized subscription plan for you while you have full access during the trial.

Trial

Test our API and Web UI for FREE for 14 days

Python
import requests

response = requests.get(
  url="https://api.predicthq.com/v1/events/",
  headers={
    "Authorization": "Bearer $ACCESS_TOKEN",
    "Accept": "application/json"
  },
  params={
      "active.gte": "2019-12-29",
      "active.lte": "2020-02-20",
  }
)

Typical users: Anyone who wants to test out and explore our data set

  • Easy-to-use central dashboard
  • Search for events
  • Demand surges
  • Access to our events API
  • Access to our API features
14 days free trial
Get started

Lite

Access to our Web UI

Typical users: Revenue Management, Business Analysts, Product Managers, Operations

  • Easy-to-use central dashboard
  • Search for events
  • Demand surges
  • Upload + save your locations
  • Get notified about events
  • Unlimited seats
14 days free trial
Get started

Premium

Access to both our Web UI and APIs

Python
import requests

response = requests.get(
  url="https://api.predicthq.com/v1/events/",
  headers={
    "Authorization": "Bearer $ACCESS_TOKEN",
    "Accept": "application/json"
  },
  params={
      "active.gte": "2019-12-29",
      "active.lte": "2020-02-20",
  }
)

Typical users: Data Engineers, Data Scientists, Developers

  • Everything from the "Lite" plan plus:
  • Event and Features API
  • Pre-engineered features
  • Snowflake integration
  • ADX integration
  • Tableau integrations + more
14 days free trial
Get started

Don’t be left in the dark

Harness the power of demand intelligence

Knowing the impact of incoming events will transform your business. RideLondon brings 280k people and $32 million to the city each year - and that's only one event.

  • 0
    data points enriching
  • 0
    events across
  • 0
    cities, accessed via
    1 API

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