Vehicle data for business:
the complete B2B guide.
What vehicle data is, who buys it, its types, how it is delivered, what it is used for, and how to evaluate a provider — everything a B2B or enterprise team needs to put authoritative vehicle data to work.
What vehicle data is — and who buys it
Vehicle data is structured information about vehicles: their specifications, what they cost to run, whether they are safe, and what fits them. For a business, it becomes useful when it is clean, cross-referenced and queryable at scale — not scattered across PDFs and government portals.
The buyers are teams that make decisions about vehicles by the thousand: insurers and lenders pricing risk, fleet operators tracking running costs, dealers enriching listings, fintechs decoding collateral, marketers segmenting audiences, and parts and aftermarket sellers matching fitment. VehDB serves 1,795 records — 562 cars, 341 motorcycles, 308 boats and 584 tire sizes — from 53 makes, with EPA economy on ~0 cars and live NHTSA recalls.
The four types of vehicle data
VehDB cross-references all four on one UUID per vehicle.
Specifications
Make, model, year, trim, engine, body, fuel type and drivetrain — the identity of the vehicle. Explore the Vehicle Specs API.
Fuel economy & emissions
EPA MPG, annual fuel cost, CO₂ grams/mile and EV range. See the Fuel Economy API.
Safety: recalls & NCAP
Live NHTSA recall campaigns and crash-test ratings. See the Vehicle Recalls API.
API vs database vs MCP
Three delivery models — VehDB offers all three.
REST API
Live, on-demand queries with filtering and pagination — best when you need today's recalls and per-request lookups.
Database / CSV
Bulk snapshot for offline joins and warehousing. Compare the trade-offs in API vs CSV database.
Vehicle data by use case
How each industry puts it to work.
Insurance
Price risk and validate vehicles at quote with specs, safety and recalls.
Fleet
Track running costs and recalls across a whole fleet by make/model/year.
Dealers
Enrich listings with accurate specs, economy and fitment.
Fintech
Decode collateral and value vehicles for lending and leasing.
Marketing
Segment audiences and build vehicle-aware campaigns.
Parts & Aftermarket
Match parts and tires to the exact vehicle configuration.
Compliance
Adopt PII-free, government-authoritative data without a privacy review.
Browse all solutions.
Vehicle data by dataset
Every dataset has its own endpoint and reference page.
| Vehicle Specs API | Make, model, year, engine, body, drivetrain. |
| Vehicle Recalls API | Live NHTSA recall campaigns and NCAP ratings. |
| Fuel Economy API | EPA MPG, annual fuel cost, CO₂ and EV range. |
| Commercial Vehicle API | Data for commercial and work vehicles. |
| Cars API | The full car catalog with enrichment on one UUID. |
| Tire Sizes API | OEM and alternate tire sizes with geometry. |
Base URL: https://api.vehdb.com/v1
How to evaluate a vehicle data provider
Five questions separate a usable provider from a liability:
- Provenance — does it trace to authoritative sources, with no PII or DPPA exposure? See our data sources.
- Freshness — are recalls read live, or is it a stale snapshot?
- Cross-referencing — does one ID link specs, economy, safety and fitment, or do you join it yourself?
- Coverage — does it span the vehicle types and years you serve?
- Delivery — API, bulk and MCP, so it fits your stack?
Worth a direct comparison: raw government feeds are free but unjoined. See VehDB vs NHTSA vPIC for why cleaned, cross-referenced data beats decoding vPIC yourself.
New to the terminology?
VIN, vPIC, NCAP, BEV, OEM fitment, CO₂ grams/mile — the vehicle data vocabulary, defined in plain English in our glossary.
Getting started
From sign-up to your first answer in three steps.
Create an account
The free tier is real — 100 calls/mo, no card. Grab a Bearer token in the dashboard.
API, bulk or MCP
Query the REST API, pull a snapshot, or wire up the MCP server.
Vehicle data for business FAQ
The questions B2B and enterprise teams ask first.
Your AI agent's vehicle-data tools —
not glue code.
VehDB ships a native Model Context Protocol server. Claude, Cursor or any MCP client queries cars, recalls, fuel economy and tire fitment as first-class tools — no wrappers, no scraping, no glue code to maintain.
- Native MCP tools — search_vehicles, tire_sizes_for_vehicle, recalls, my_lists — callable by Claude, Cursor or any agent.
- OAuth2 for AI providers plus simple Bearer tokens. Same auth, same data as the REST API and workspace.
- No scraping, no function-calling boilerplate, no schema drift — the agent gets typed, documented tools.
{ "mcpServers": {
"vehdb": { "url": "https://mcp.vehdb.com/mcp" }
} }