Vehicle data for insurance & underwriting
Rating and claims teams need consistent make/model/year specs, body class, fuel type and open recall status keyed to one stable identifier — not five vendors stitched by hand.
Free plan includes 100 API calls/mo — no card required.
Datasets that solve it
The exact data this segment leans on — all on the same UUID, all queryable by API or MCP.
Specifications (make, model, year, body, drivetrain, fuel)
Live NHTSA recalls & NCAP safety ratings
EPA fuel economy & CO₂
Tire fitment for repair/replacement costing
Base URL: https://api.vehdb.com/v1
What teams build
Real workflows insurance & underwriting ship on top of VehDB.
- Risk scoring by body class, drivetrain and safety rating
- Open-recall flags at quote and renewal
- Total-loss & repair-cost inputs from fitment and class
- Clean VIN-grade specs for policy admin systems
Why vehdb
The same advantages, whichever segment you sit in.
Enriched, not just listed
Specs carry EPA fuel economy on cars and live NHTSA recalls plus NCAP ratings — the next question is already answered inline.
Multi-asset on one UUID
Cars, motorcycles, boats and tire fitment share a model. The record your analyst sees is the record your backend queries.
MCP server built in
Expose VehDB as native tools to Claude, Cursor or any agent — no glue code, no scraping.
Transparent pricing
Quota-based plans, no per-seat surprises. The free tier is real: 100 calls/mo, no card.
Government-sourced provenance
Enrichment comes from U.S. federal public-domain data (EPA, NHTSA) — clean licensing, transparent origins.
Built for production
Stable UUIDs, JSON responses with pagination, and saved searches that notify you when new records match.
See the full provenance on the data sources page.
Other solutions
Same dataset, a different problem to solve.
Fleet & Telematics
Fleet platforms need to normalise mixed car, light-truck and powersport assets to one sche...
Dealers & Marketplaces
Listing and inventory tools need to auto-fill complete, consistent specs from a make/model...
Fintech & Lending
Loan origination and servicing need authoritative specs and recall/safety context keyed to...
Marketing & Audiences
Campaign and content teams need clean make/model/year taxonomies and spec attributes to se...
Parts & Aftermarket
Parts catalogs and e-commerce need accurate fitment — which tire sizes and configurations...
Compliance & Research
Compliance, safety and research teams need authoritative, government-sourced specs, recall...
Browse them all on the solutions overview.
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" }
} }
Solve insurance & underwriting on VehDB.
Rating and claims teams need consistent make/model/year specs, body class, fuel type and open recall status keyed to one... Start free, then scale by usage — not by seat.
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