DealScanThe DealScan Index
What real used-car listings look like, in numbers
Every scan on DealScan feeds an anonymized dataset: scores, verdicts, models, and asking prices — never people. This page reports live aggregates. Journalists and researchers may cite any figure with attribution to DealScan.dev and the date shown.
The index is warming up
Index figures publish automatically once enough scans have accumulated to be statistically meaningful. Every scan you run contributes — analyze a listing and check back.
What will be reported
- — Share of listings scored as good deals vs. flagged risky or avoid
- — Most-scanned models and their median asking prices
- — Average deal score across all scanned listings
- — Price-drop behavior on re-scanned listings (from listing memory)
Methodology
DealScan scores public used-car listings 0-100 from the listing's own text: price vs. estimated fair range, mileage for age, title language, transparency, and risk phrases. The index aggregates those scans — no names, emails, IPs, or exact locations are stored with scan data. Listing memory tracks unique cars (by VIN or listing URL) to measure price drops and time on market. Press inquiries: hello@dealscan.dev. Bloggers and site owners can embed the widget for free and give their readers instant deal scores backed by this data.