Marine Insurance

Boat & watercraft data for marine insurance

Marine underwriters rate hulls on make, model, year, type and engine — yet there is no clean self-serve boat specs API, so rating tables are keyed by hand from PDFs and surveys.

Free plan includes 100 API calls/mo — no card required.

api.vehdb.com
# Marine Insurance — one call, real answers
GET /v1/boats?make=Sea Ray Boats&model_type=Cruiser
{ "data": [ {
  "uuid": "550e8400-e29b-…",
  "make": "Sea Ray Boats", "model": "Sundancer 320", "hp": 380 } ] }
# Same UUID, the data you need
GET /v1/boats/{uuid} "length_ft": 32.5, "hull": "Fiberglass"
GET /v1/boats/{uuid}/similar 10 comparable vessels

Datasets that solve it

The exact data this segment leans on — all on the same UUID, all queryable by API or MCP.

83,000+ power boats across 50 manufacturers (1960–2023)

Hull/boat type, engine and length attributes per model year

Same schema and UUIDs as the car & motorcycle datasets

REST API + MCP server for agent-assisted quoting

Base URL: https://api.vehdb.com/v1

What teams build

Real workflows marine insurance ship on top of VehDB.

  • Auto-fill watercraft specs at quote time
  • Normalise insured hulls to one make/model/year key
  • Segment books by boat type, age and manufacturer
  • Cross-line underwriting with auto & powersports on one API

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.

AI-NATIVE · MCP SERVER

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.
claude_desktop_config.json
{ "mcpServers": {
    "vehdb": { "url": "https://mcp.vehdb.com/mcp" }
  } }
# the agent calls a typed tool, not your scraper
tool search_vehicles(make="Toyota", year=2026)
tool tire_sizes_for_vehicle(uuid) → "235/65R17"

Solve marine insurance on VehDB.

Marine underwriters rate hulls on make, model, year, type and engine — yet there is no clean self-serve boat specs API,... Start free, then scale by usage — not by seat.

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