Kuwala
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Kuwala Data Products: APIs & Datasets
Most Viewed Product
Location Decision Making and Visitor Frequencies for Retail
| Volume | 14M per country/month on average |
|---|---|
| Country | USA Germany United Kingdom + 49 others |
Forecasting and Prediction for Energy Simulation and EV Charging Stations
Demand Predictions for Micro-Mobility and Fleetmanagement
Anti Crowding information for COVID-19
Identification of functional areas for urban planning
About Kuwala
Kuwala in a Nutshell
Kuwala supports data teams in integrating external data seamless via an API. Data Scientists are thus able integrate clean data at high speed. Fast prototyping and full focus on model and deployment is possible. Currently we offer geo location data via our API. We measure the average popularity on an hourly base for any geo location in Europe and soon in USA. In addition, indexed visitor frequencies are also provided for millions of establishments (e.g. shopping, health, restaurant, public transportation and 23 more categories). With diverse metadata clusters can be formed and insights to target groups can be made.
The API is described in detail (here: https://documenter.getpostman.com/view/12536265/TVKD1cdc) and can also be individually adapted to the use case.
- Headquarter
- Germany
Data Offering
We provide standardized and anonymized frequency data with which we can provide information about the popularity of any location. In addition, the data is also updated every hour. The data can be queried as arrays, historical data over a predefined polygon or in total. In addition, we also deliver detailed location metadata such as the composition of establishments.
Pricing
Our pricing model is based on how much you use our API service. 1,000 requests with our API cost 90 Euro. The first 1,000 requests are free of charge to get an idea of our service. We are also happy to advise you personally. On request we can also create a case study or reporting using our data.
- One-off purchase
- Usage-based
Use Cases
Our data is used to conduct Mobility Demand Forecasts. Furthermore, the data is used for energy and location simulations. A comparison of POIs and demographic segments is also possible. Thus, e.g. marketing and advertising surveys can be solved. The data is also partly available live, so that the data can be used for anti-crowding monitoring.
Geo Coverage
Key Differentiators
Our data is updated hourly. Access is very easy via an intuitive API with various data aggregation functions. We also have +100,000 POIs and 25 target group segments for POIs that can be accessed. We offer our service free of charge and without obligation for the first 1,000 queries. We cover European and North American cities also upon request. Our team can also create a case-study for your specific data challenge.
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Frequently asked questions about Kuwala
What does Kuwala do?
Kuwala enables data teams to use the power of location data through seamless integration via API.
How much does Kuwala cost?
Our pricing model is based on how much you use our API service. 1,000 requests with our API cost 90 Euro. The first 1,000 requests are free of charge to get an idea of our service. We are also happy to advise you personally. On request we can also create a case study or reporting using our data.
What kind of data does Kuwala have?
Location Data, Mobile Location Data, Retail Location Data, Business Location Data, and Real-Time Location Data
What data does Kuwala offer?
We provide standardized and anonymized frequency data with which we can provide information about the popularity of any location. In addition, the data is also updated every hour. The data can be queried as arrays, historical data over a predefined polygon or in total. In addition, we also deliver detailed location metadata such as the composition of establishments.
What are the best use cases for Kuwala’s data?
Our data is used to conduct Mobility Demand Forecasts. Furthermore, the data is used for energy and location simulations. A comparison of POIs and demographic segments is also possible. Thus, e.g. marketing and advertising surveys can be solved. The data is also partly available live, so that the data can be used for anti-crowding monitoring.