Data Items

Our connected car data catalogue grows with every new manufacturer. Explore the variety of data items available via our Auto API.

Our Data Categories

Connected Vehicle Data

Using telematics devices, cars can distribute data for many purposes for an end-user. Car data is created by electrical sensors linked to the ECU or Electronic Control Unit. An ECU is linked to an onboard telematics device which transmits live data. A user in a central location receives this data over the air, with an end interface that can be configured in a way that works for their business.Many attributes of a car can be transmitted live or at set intervals using GPS and mobile data networks.

Using car data, fleet management companies analyse their vehicles to help reduce costs, prevent maintenance issues and schedule service appointments in advance. Governments and councils can use car technical data to better manage traffic. Insurance companies can have real-world use cases for their customers and the introduction of smart cities with connected cars results in more efficient infrastructure. Most importantly, emergency services receive live vehicle data to accurately locate an accident, with automatic triggers to call ambulances if the vehicle senses it is in a severe accident.
Our connected car data catalogue grows with every new manufacturer. Explore the variety of data items available via our Auto API.
Our data catalog on Airtable contains technical information specific to each data category, including its properties and their production availability.

What is Value Forecast Data?

Bespoke companies exist to help fleet management, insurers, dealers and manufacturers determine the value of their vehicles over time. Using past data that they obtain from a wide range of sources, value forecast data is useful for large fleets especially. As they can accurately predict future trends.

Historical information such as a similar vehicle selling price, distance covered, wear and tear, service schedules and reputation of specific models are used as value forecast data. Algorithms are used by organisations to combine this data and provide a forecast of the price of a vehicle in the future.

Use Case

Fleet management can get an understanding of the best model to go for. As the most important factor may not be the purchase price. If a vehicle loses a lot of value over time or is less reliable, it can cost the business more in the long run.

Dealerships can use value forecast data to work out the resale value of the vehicle when a used car comes into the forecourt. Insurers can use this data for payouts during a crash, determining what a vehicle may sell for to settle the claim.