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VINTrack · methodology
VINTrack doesn't pull from secret databases — we collect what's already publicly available and assemble scattered publications into a single chronological timeline for one vehicle.
US salvage auctions: Copart, IAAI — photos, damage description, lot price.
Ukrainian marketplaces: AutoRia, OLX — sale listings, price changes, photos, seller contacts.
Open government registries: vehicle registration/re-registration, wanted status, OSAGO insurance policy, traffic fines, customs clearance on import.
Each event (a listing, a price change, a registration, a fine, etc.) is linked to a specific VIN and gets a date and a source. Events are sorted chronologically — that's how separate publications become one vehicle's history.
If a source has nothing to say about a period or a field, the corresponding report section is simply omitted. We deliberately don't fill gaps with zeros for the sake of looking complete.
The risk score (0–100) is a heuristic based on timeline factors: recorded damage, large gaps in history (the car "disappears" from public sources for an extended period), a likely resale without a transparent ownership change, and similar signals.
It's not an official verdict or a guarantee: a low score doesn't mean there are no hidden issues, and a high score doesn't always mean the car is unsound. Treat it as a starting point for further checks.
VINTrack only shows what made it into public sources. If a vehicle was never listed for sale or auction and never appeared in the registries we check, its history will be short or empty — that's not a service error.