SEE WHAT CHANGES

From scattered recordsto something you can use.

Eleven practical examples from our project experience. Explore what goes in, what comes out and how the result is used.

Project experience

What is the same car selling for?

Is this a different car — or the same car at a different price?

CSV / JSON
What we start with

“Octavia 2.0 TDI DSG” · €28,900

“Škoda Octavia / diesel / automatic” · €29,400

What you receive

A shared vehicle ID links both listings. Prices, source references and observation dates stay separate, so differences and changes remain visible.

Illustrative outputScroll to see all fields
Illustrative output: What is the same car selling for?
Vehicle IDSourceListed price (EUR)ObservationMatch status
HBT-024Dealer portal28,9002026-10-01Matched
HBT-024Listing portal29,4002026-10-01Matched
HBT-024Dealer portal28,5002026-10-08Matched

Why it matters: Compare like with like, track market movement and spot inconsistent prices for the same vehicle.

Project evidence

In one project evaluation, 604 of 612 proposed matches were correct (98.7%). The system found 604 of 766 known pairs (78.9%).

Illustrative records and prices. The matching evaluation is from October 2026; it is not a guarantee for another dataset.

LET’S MAKE THE CONNECTION

The right data startswith a conversation.

Tell us what you need — or what you have. We will assess the fit and define a practical next step.