Market data

Coverage, provenance, quality gates, and model benchmarks.

This page reports coverage, provenance, and automated quality checks from the same artifact that powers the public price check.

Used vehicles represented 180,833
Used market cells 5,605
Makes38
Year coverage20022027
National weighted median (warehouse) $33,771

Pipeline health

All release gates passed

VERIFIED
  • Schema contract PASS
  • Duplicate composite keys0
  • Percentile-order violations0
  • Rejected market cells0
  • Minimum cell sample n10

Artifact provenance

Reproducible from the released source

Retrieved
Aug 29, 2026
Licence
CC BY-NC 4.0
Price basis
Dealer asking prices, not transactions
SHA-256 (abbrev.)
93f41bf105702c8e

Consumer adjustment model

Trained on completed auction outcomes.

USED IN CONSUMER RESULTS
91,278Eligible sold outcomes
$1,198Temporal-test MAE
11.60%Temporal-test WAPE
4.29%vs peer baseline

Canadian anchor. Learned auction residual. Read the model card summary →

Research benchmark

Evaluated against a declared baseline.

NOT USED FOR CONSUMER RESULTS
$8,026Grouped-CV MAE
45.2%vs global-median baseline
0.617Weighted R²
360Held-out make × model groups

Five-fold WAPE (grouped) · Five folds. Zero make-model overlap.

25.7%Fold 1
28.2%Fold 2
25.1%Fold 3
19.9%Fold 4
19.8%Fold 5

Segment validation

Where the error concentrates.

TEMPORAL TEST · 39,132 OUTCOMES
SegmentnBaseline MAEModel MAEBaseline WAPEBase WAPEModel WAPEModel 80% coverageCoverage
Auction grade
Salvage69$3,724.57$2,249.09156.18%94.31%15.94%
Extra Rough1,142$1,796.93$1,317.7334.99%25.66%49.56%
Rough9,184$1,255.62$1,095.6918.42%16.07%69.54%
Average18,546$1,259.39$1,145.4213.25%12.05%81.35%
Clean9,607$1,138.54$1,351.317.37%8.75%90.75%
Extra Clean584$1,460.93$1,609.117.93%8.74%91.44%
Sale year
200936,116$1,282.86$1,213.4112.80%12.11%78.85%
20103,016$880.85$1,015.966.30%7.27%93.73%
Price band
$0-5k8,496$991.42$722.4830.28%22.07%58.07%
$5-10k12,544$1,193.87$983.9516.14%13.30%80.55%
$10-20k14,737$1,342.76$1,442.719.65%10.37%89.23%
$20k+3,355$1,729.14$2,129.837.40%9.11%92.88%
Odometer delta vs peers
S16,522$1,745.05$1,581.8414.35%13.00%74.10%
S26,522$1,246.29$1,147.5211.78%10.84%79.58%
S37,007$991.86$984.879.76%9.70%82.49%
S46,037$876.59$944.669.04%9.74%84.81%
S56,522$977.19$1,053.3110.23%11.03%82.83%
S66,522$1,665.71$1,473.9517.02%15.06%76.34%
Peer count
T113,070$1,401.74$1,203.9115.68%13.46%74.22%
T213,232$1,258.61$1,161.1312.99%11.98%78.24%
T312,830$1,092.26$1,230.588.81%9.93%87.69%

MAE/WAPE: lower is better — ▾ model beats baseline, ▴ model trails; coverage red when below 80%.

80% coverage is the share of each segment's actual sale prices inside the global temporal-test interval [P10, P90] of log(actual / model prediction); its width is 45.86% of the central estimate, so it does not re-fit per segment. The model improves WAPE in 13 of 21 segments; the remaining rows are where the peer baseline already prices well.

Coverage is not uniform. Cells below 10 vehicles are suppressed.

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