The service syndicates data about car models, features, and selling prices from the provider's extensive database. Primarily aimed at automobile dealerships selling to the public, syndicated data may also be useful to consumer-focused applications or websites. The service covers both new and used cars across the full range of makes and models and across North American markets where they are sold. Data are available as a real-time web service or periodic downloads.
API methods support retrieval of data about current-year and used vehicles by year, make, and model with listings for standard and optional equipment. Methods also provide projected car values at levels for suggested dealer price, used car trade-in transations, and private party sales. The API includes access to a VIN decoder to determine a specific car's equipment level based on its manufacturer identification number.
Of the many APIs we published this week, thirteen were highlighted on the blog by our team of writers. In this post, we’ll shine a spotlight on those thirteen, which included the Kelly Blue Book InfoDriver API. The Kelly Blue Book InfoDriver API provides data on all relevant car models, features and selling prices. Specifically used vehicle data, new vehicle data, motorcycle, powersports, and anything with wheels. To learn more about the Kelly Blue Book InfoDriver API visit the Kelly Blue Book site as well as the Kelly Blue Book API Blog post.
For anyone looking to find accurate and up to date information on vehicles, be it potential car buyers or dealers, Kelly Blue Book provides all the relevant data on car models, features and selling prices. It's an online service with an extensive database of car value data and vehicle information that is based on trusted and official information. The Kelly Blue Book InfoDriver API makes this data available to be integrated with other websites and applications.
ArtPI offers an API that utilizes artificial intelligence for users to discover fine art for viewing, buying or selling. The technology is based on deep learning models of pattern matching and trend...