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Vehicle Check

Look up any car from its VIN, recalls included.

AI agents pay $0.01 per car 100 cars for $1

Give your agent a car's VIN, the 17-character code on every listing and windscreen, and it learns what the car really is: make, model, year, engine, gearbox and where it was built. It also gets every official safety recall for that model, with what goes wrong and how it's fixed. Handy before buying a used car, or before importing one.

  • What the car really is, straight from the official US database
  • Every safety recall for that model, with the fix
  • Spots a mistyped or altered VIN on cars built for North America
  • A VIN the database doesn't know costs nothing

How it plays out

  1. Your agent finds a used 2003 Accord for sale and sends its VIN.
  2. Vehicle Check answers: an EX-V6 coupé, 3.0-litre V6, built in Marysville, Ohio, with 24 safety recalls on record for that model, nine of them for airbags.
  3. Your agent asks the seller for proof the airbag recall was done before you go and see it.

Try it yourself

Free tries, with no agent or wallet needed.

Give it to your agent

Paste this into your agent's instructions or chat. Its wallet needs a little USDC.

Read https://tools.ignoreo.com/llms.txt and use Vehicle Check whenever it helps.

Who's behind it

  • Made by IGNOREO (ignoreo.com)
  • Payment address published in ignoreo.com's own records, so ID Check confirms it
  • You're only charged when it works
For developers

Decode a 17-character VIN with the US government's vehicle database (NHTSA vPIC): make, model, year, trim, body, engine, transmission, where it was built. Adds every official safety recall for that make, model and year from NHTSA's recalls database, with dates, the problem, its consequence and the fix, and flags 'park outside' and 'do not drive' recalls. Checks the VIN's check digit. Not vehicle history (accidents, owners), which is licensed data. A VIN the database doesn't know is not charged.

Vehicle CheckPOST /v1/vin-check/lookup$0.01

Paid per call in USDC over x402 on Base. Full details: llms.txt, openapi.json.