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.
As of 2026-10-04, DealScan has scored 108 used-car listings, with an average deal score of 63/100 and 23% scoring as good deals.
Verdict distribution
- 31%scored as fair deals
- 27%flagged risky
- 23%scored as good deals
- 19%needed review
Median asking prices (most-scanned models)
| Model | Median asking | Sample |
|---|---|---|
| Mazda Cx-5 | $6,230 | 8 listings |
Data as of 2026-10-04. Aggregates of anonymized scan activity on DealScan.dev; samples reflect DealScan users, not the whole US market. Cite as "DealScan Index, 2026-10-04".
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.