Sold by: PredictHQ
Deployed on AWS
Free sample dataset containing Unscheduled event data for a 1 year historical period and a 30 day future period for the state of California. Includes events in the Severe weather, Disasters, Airport Delays, Terror and Health Warnings event categories.
Overview
PredictHQ’s easy-to-use global events API gives businesses direct access to a constantly updated and verified event database drawing on billions of data points daily. Events across 19 categories , from expos to concerts to college dates to natural disasters, are aggregated from hundreds of sources then cleansed, filtered, enriched and verified using our proprietary data pipeline .
Companies use this information to inform their demand forecasting and planning, and update their staffing, inventory and pricing strategies to match demand. Teams at Domino’s Pizza, Uber and Accor Hotels trust PredictHQ’s precise and scalable real-world events data to enhance demand forecasting models, improve workforce optimization strategies, aid dynamic pricing efforts, and much more.
The pandemic upended demand patterns and made them harder than ever to forecast. Companies are increasingly using verified external data to know what will drive demand up or down so they can make the most of every opportunity while mitigating losses. PredictHQ’s feature engineering, which includes applying a Predicted Attendance to each event as well as our Features API for easy integrations, means teams can quickly start driving value.
Documentation
Learn more about PredictHQ's real-world event data by visiting our Developer and Data Science Documentation . Our documentation includes a Quickstart API Guide to help you get up and running quickly as well as a full list of parameters for our Events and Places endpoints as well as our Broadcasts API for Live TV events. Finally, learn more about our Features API , which removes the friction of accurately aggregating events, enabling you to correlate event data to business demand quickly. Looking at individual spikes often leads to too small of a data set to correlate accurately. Data Aggregation enables data science teams to visualize enough volume of spike days to prove correlations of events to demand.
Getting started with PredictHQ's event data - A guide for Data Scientists
Join our Data Science Solutions Engineer to walk-through a Step-by-Step demo on Correlating Demand to Events . Our Data Science Docs will assist you and your team in getting started with our intelligent event data quickly. Our wealth of resources will enable you to analyze PredictHQ's event data, combine it with your historical demand data, and identify the relationship between the two. The end goal is to ensure you successfully identify correlations and properly feature engineer event data to incorporate it into your existing event data modeling. For additional information, check out our Dev Docs , chat with us live at PredictHQ.com , or email us @ awsdx@predicthq.com
Disclaimer: forward looking data subject to change as events are dynamic. Using PredictHQ’s APIs enables you to access the most up to date data.
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing is free and uses a single pricing dimension: Product Access (Units). That one unit grants you access to the sample data set. There are no tiers, instance sizes, or usage-based add-ons to choose between. You subscribe once to unlock the product at no cost. The sample covers unscheduled events in California, letting you test the event data before deciding on any broader arrangement. Because pricing does not scale by volume or time, there is nothing to configure beyond gaining access.
Top-of-mind questions for buyers
One unit grants access to a sample data set of unscheduled events in California. Unscheduled events include live breaking situations such as severe weather and health warnings. This is a test sample, not the ongoing production feed, so you evaluate the data structure and quality before committing to a broader arrangement.
No. This listing uses one access unit with no usage-based metering. Cost does not scale by query volume, event count, or time. You subscribe once at no charge and there are no tiers or overage points that could trigger a cost change.
The data is delivered through the marketplace as verified, enriched event records. The provider also offers access via its APIs, a web application, and partner data platforms. This particular listing is a sample set focused on unscheduled California events for testing.
www.predicthq.com+2
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Vendor refund policy
This product does not have a refund policy. For questions, contact awsdx@predicthq.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Unscheduled Events Dataset | Last 1 revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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