Multiple data providers. One consistent developer experience.
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Automotive data integration involves more than making an API request. Your team needs to identify suitable sources, understand their coverage, interpret returned fields and handle different response conventions.
As requirements expand, that work can multiply. Adding vehicle history, valuations or specifications may introduce another provider, another schema and another set of integration decisions and data mapping.
We bring multiple specialist automotive data sources together through one API, providing a consistent foundation for your application. You choose the endpoints your product needs while working within a familiar developer environment.
This helps reduce repetitive integration work and gives your team more time to build the features that distinguish your software.
A broad choice of datasets makes it easier to turn product requirements into practical solutions.
Through One Auto API, you can access vehicle identification, technical specifications, factory build information, vehicle history, service records, valuations, market inventory, EV data, imagery and more.
Your application might begin with vehicle identification and add further enrichment as the product develops - or you may require several sources from the outset, with different endpoints supporting different stages of a workflow.
We help you identify the fields required for each task and select suitable sources.
Breadth also gives you room to extend your product. New data requirements can often be addressed within the same platform, reducing the need to establish a separate commercial relationships and integrations for every new feature.
Different providers describe similar information using different terminology. Resolving those differences takes development time and makes your codebase harder to maintain.
Our common data dictionary maps data into consistent, descriptive field names. Shared response statuses provide a familiar way to interpret request outcomes across providers, and support easily interpreted audit logs.
Your developers can build reusable handling around these conventions, making subsequent endpoints easier to understand and incorporate. The result is a more predictable developer experience while preserving the distinctions that matter when working with specialist automotive data.
AI coding tools are most useful when they have a clear description of the API they are implementing.
Our machine-readable OpenAPI documentation provides structured information about endpoints, request parameters and responses. Alongside descriptive field names and examples, this gives developers and their coding assistants a clearer reference for preparing integration code.
Use the documentation to explore available methods, understand required inputs and review response structures. SDK resources and Postman collections provide further starting points for implementation and testing.
AI-ready documentation supports your development process. Your team can review generated code against the documented behaviour and test it in the sandbox before introducing live requests.
Explore our API documentation and Swagger guidance to see the resources available.
Free sandbox access lets developers explore requests and example responses before committing to live data expenditure. This supports early development of request handling, response parsing and application flows.
When investigating integration issues, the audit log provides visibility into API calls and their response statuses. Filter activity by API key, service or provider, then export records for further analysis.
Separate API keys help you distinguish projects. Service restrictions, IP restrictions and usage controls allow you to configure access around each application’s requirements.
Together, these tools support the work beyond the first successful request: understanding failures, reviewing usage and managing access as your software develops.
Broader Data Access
Find and combine complementary automotive datasets through one API. Extend your application with identification, specifications, history, valuations and other relevant sources without starting a separate provider integration for every new requirement.
Consistent Integration
Work with common field naming, shared response statuses and a familiar documentation structure. Build reusable integration components and reduce the repeated interpretation and mapping work associated with connecting multiple independent data providers.
AI-Assisted Development
Use machine-readable OpenAPI documentation, descriptive fields and example responses to support AI coding tools. Give your development workflow a structured reference for generating, reviewing and testing API integration code.
Data from the UK's leading used car classified website.
Bulk data feeds - built to order.
Tax, finance and insurance calculations - plus UK postcode lookup
Data cleansing for vehicles and customers
Electric vehicle data covering real world range, charge times and running costs.
Residual value and vehicle life predictions.
Stock vehicle images with global coverage
Used market inventory updated daily.
Market metrics providing insight into buyer demand and time to sell.
Service maintenance and repair data, including forecast spend for new and used vehicles.
Vehicle valuations from multiple providers for every use case.
Begin with free sandbox access to develop and test your integration. Move to paid live requests through PrePay for initial trials or proof-of-concept work, then select a monthly plan for ongoing usage.
Bespoke pricing is available for high volume applications. Some datasets have separate licensing or approval requirements, which should be considered when planning your product.
Explore our pricing plans to match access and costs to your expected workload.
We bring multiple automotive data sources into one API with common field naming, shared response statuses and developer resources. Your team can select complementary endpoints within a familiar environment, reducing repeated sourcing, schema interpretation and integration work as your product’s data requirements expand.
No. The common data dictionary provides consistent naming, but each endpoint has its own inputs, returned attributes and coverage. Start by identifying the fields your application requires, then use the documentation and our team’s guidance to choose suitable sources.
Our machine-readable OpenAPI documentation describes API methods, parameters and response structures. This gives coding assistants a structured reference for preparing integration code. Developers can review that code against the documentation and test request handling in the sandbox before using paid live data.
Yes. Our free sandbox supports development using example responses. It helps you understand request formats and build application handling before moving to paid live calls. Live testing then allows you to assess the selected sources against representative vehicles and your actual product requirements.
The audit log records API activity and response statuses, with filters and export tools for investigation. Separate API keys help distinguish projects, while service restrictions, IP restrictions and usage controls let you configure access according to each application’s needs.
We bring multiple automotive data sources into one API with common field naming, shared response statuses and developer resources. Your team can select complementary endpoints within a familiar environment, reducing repeated sourcing, schema interpretation and integration work as your product’s data requirements expand.
No. The common data dictionary provides consistent naming, but each endpoint has its own inputs, returned attributes and coverage. Start by identifying the fields your application requires, then use the documentation and our team’s guidance to choose suitable sources.
Our machine-readable OpenAPI documentation describes API methods, parameters and response structures. This gives coding assistants a structured reference for preparing integration code. Developers can review that code against the documentation and test request handling in the sandbox before using paid live data.
Yes. Our free sandbox supports development using example responses. It helps you understand request formats and build application handling before moving to paid live calls. Live testing then allows you to assess the selected sources against representative vehicles and your actual product requirements.
The audit log records API activity and response statuses, with filters and export tools for investigation. Separate API keys help distinguish projects, while service restrictions, IP restrictions and usage controls let you configure access according to each application’s needs.
Get instant access to our sandbox API and start building today.
Data Providers:
Auto TraderAutoPredictBregoCarketaCartellCazanaClearWattEV DatabaseEVOX ImagesExperianEzyvinMarketcheckPlate2VinRecall HQSagacitySalvageGuideSolifi Vehicle DataVIN AuditVehicle Data GlobalVehicle ImageryCategories:
Car ImagesCar Mileage ChecksCar SpecificationElectric Vehicle DataLicense Plate to VINOE VIN LookupRegistration (VRM) LookupSMR DataService HistoryVIN DecoderVehicle Build SheetVehicle DataVehicle History ChecksVehicle Recall ChecksVehicle Technical DataVehicle ValuationsSolutions:
Aftermarket & PartsAuction & RemarketingAutomotive Data ReportsCar Buying PlatformsConsultancy ServicesConsumer Websites & AppsData CleansingData ProvidersFinance BrokersFleet OperatorsFranchised DealersIndependent DealersLead ManagementLeasing & Fleet ManagementLeasing BrokersManufacturersMotor FinanceMotor InsuranceRetail Pricing StrategiesScrap & SalvageSoftware DevelopersVehicle Appraisal SoftwareVehicle AssessorsVehicle History ReportsWhole Life Costs