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PredictHQ’s Demand Intelligence APIs
Make your forecasts and operations more real world aware with our APIs built for scale, speed and accuracy. PredictHQ provides options for different API access points to suit your needs, from a featurized API to build models faster to a granular event API for better explainability.
Powered by PredictHQ
-
Demand Forecasting: Incorporating events into models for smarter forecasting.
Customer Stories 
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Customer stories-
Demand Forecasting: Incorporating events into models for smarter forecasting.
Customer Stories -
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
Customer Stories -
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Blog 
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Customer stories
Pick your API
What are your business needs?
Depending on what you are looking for, we’ll make sure we get you set up with the right API to start getting value out of PredictHQ’s demand intelligence as soon as possible.
Event API
Access to individual event data
Events vary in type, size, location, duration and impact. They also frequently cluster, creating outsize
impact. We aggregate and verify millions of events so data science teams have enough high-quality data to
identify correlation between demand spikes and events, unlocking new opportunities.
Features API
Save time with prebuilt intelligence and features
With the Features API, no need to build complex data handling systems or build features on your own. We
handle the post processing work so you can focus on enabling your teams to extract value from event data
rapidly. You can insert directly into your forecasting models.
import requests
data = {
"active": {
"gte": "2019-11-28",
"lte": "2019-11-29"
},
"location": {
"place_id": [
5224323,
5811704,
4887398
]
},
"phq_attendance_conferences": {
"stats": [
"min",
"max"
]
},
"phq_attendance_sports": True,
"phq_attendance_concerts": True,
"phq_rank_public_holidays": True
}
response = requests.post(
url="https://api.predicthq.com/v1/features",
headers={
"Authorization": "Bearer $ACCESS_TOKEN",
"Accept": "application/json"
},
json=data
)
print(response.json())
Live TV Events API
Access to historical and predicted viewership data
Better predict surges in demand caused by televised events such as sports. Filter by city or county to
access relevant data rather than by broad designated market areas (DMAs) used by other providers. Access to
county-level viewership data enables you to confidently forecast at a more granular level, such as for
individual stores if you’re a quick-service restaurant or grocery store.
import requests
response = requests.get(
url="https://api.predicthq.com/v1/broadcasts/",
headers={
"Accept": "application/json",
"Authorization": "Bearer $ACCESS_TOKEN"
},
params={
"location.place_id": "5368381,5391832",
"start.gte": "2020-11-01",
"start.lte": "2020-11-30",
"start.tz": "America/Los_Angeles"
}
)
print(response.json())
Forecast ready Features
Regardless of the API you choose, get up and running quickly
We’ve created Jupyter notebooks on how to integrate our 19 (and counting) event categories into your models
to help your Data Science teams get up and running quickly. It includes guides to using our APIs and data
with common Data Science tools and libraries in Python.
Create a new access token via API clients
Customer Stories
Demand intelligence gets results
Our customers include leading companies across retail, transport, accommodation and financial service sectors. They use our intelligent event data for labor optimization, demand forecasting, dynamic pricing, supply chain optimization and more.
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 API PRICING
Which plan is right for me?
From a 14-day free developer plan to fully customized subscriptions plans, our pricing is tailored to fit
your needs.
Developer
Test our API for FREE for 14 days
| Future event visibility | |
| Historical event visibility | |
| Events returned per page/request | |
| Maximum pages | |
| Global Locations | |
| Commercial use allowed | |
| Display without attribution | |
| Caching allowed | |
| Priority support |
Premium
Priced for your needs as you scale
Increase your limits to get the data your business needs. We'll partner with you to find the right solution.
| Commercial use allowed | |
| Display without attribution | |
| Caching allowed | |
| Priority support |
You can’t prepare for what you don’t see coming
Harness the power of demand intelligence
Knowing the impact of demand causal factors like events will transform your business. The American Society of Hematology has a $45M estimated economic impact — and that's only one event in one city.
- data points enriching0
- events across0
- cities, accessed via01 API
Get Started
Contact our data science experts to find out the best solutions for your business. We'll get back to you within 1 business day.
Talk to an Expert
Trusted by
-
Demand Forecasting: Incorporating events into models for smarter forecasting.
Customer Stories Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Customer storiesLabor optimization: Ensuring the right number of drivers and store staff to meet demand.
Customer stories-
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Blog
Other Questions?
- Read our Data Science Docs
- Explore our Developer Docs
- Visit our Support Center