Anchor values to real closes
Modelers train on true wholesale sale prices instead of asking prices.
Valuations grounded in what cars actually bring
.
Auction Data
Wholesale auction data — 43M+ sale records
43 million+ wholesale auction results — the real price each car sold for, plus mileage, condition grade, declarations, and seller — VIN-linked to retail listings.
43M+
auction sales
true sale
prices
condition
grades
VIN-linked
to listings
weekly
updates
What's in the data
Every field you need to model a wholesale sale
Each record is one auction sale, VIN-keyed to the same keyspace as our retail listings feed.
vin
— Vehicle identification number, the primary join key across every dataset.
sale_date
— The date the vehicle sold at auction.
sale_price
— The true close, in USD — what the car actually brought.
mmr
— Market reference value for the vehicle at sale time.
mileage
— Odometer reading recorded at the lane.
condition_grade
— The auction condition grade for the vehicle.
declarations
— Seller-disclosed flags, e.g. frame_damage and odometer status.
seller_type
— Who consigned the vehicle, e.g. franchise dealer or fleet.
{
"vin": "5TFAY5F18MX012345",
"sale_date": "2026-04-18",
"venue": "Manheim Atlanta",
"lane": "E",
"run_number": 114,
"sale_price": 28400,
"mmr": 29850,
"mileage": 61420,
"condition_grade": 3.4,
"declarations": ["frame_damage:none", "odometer:actual"],
"seller_type": "franchise_dealer",
"buyer_type": "independent_dealer",
"linked_listings": [ 3 downstream retail listings ]
}
Who Uses It
Who buys auction data, and why
Built for everyone who needs the price a car actually sold for.
Model residuals and recovery
Risk teams forecast residual values and recovery rates from real auction outcomes.
Sharper LTV and loss models
.
Source smarter
Buyers spot underpriced segments and lanes before they bid.
Find margin before the sale
.
Track demand by market
Traders follow what's selling, where, and for how much.
Buy to the demand, not a hunch
.
Delivery
Delivered to your infrastructure
Pick the channel your team already lives in. No portal to log into.
Bulk feed
Full history or a filtered slice — by make, model, year range, venue, or region.
Your warehouse
Delivered to S3, Snowflake, or BigQuery — new rows appear, no ETL on your side.
Daily or weekly cadence
Keep your models current as new sales post — pick the refresh that fits.
What Makes It Different
Real outcomes, not asking prices
Three things you will notice the first time you compare this to a listings-only feed.
Real sold prices, not asking
Every record is the true close — what the car actually brought at the block, not what someone hoped to get.
Condition and declarations included
Condition grade plus seller declarations — frame and odometer flags — so your model sees the car, not just the number.
Joinable to retail and title data
One VIN keyspace across listings, auctions, and title and history — no crosswalk tables, no manual reconciliation.
How You Buy It
Buy only what you need — clean and ready to use
No all-or-nothing contract and no raw scrape to clean up. Take the exact slice you need, already normalized and ready for your pipeline.
Clean data, not a raw scrape
Every record is normalized, VIN-keyed, deduplicated across sources, and validated — with a documented, versioned schema. It drops straight into your warehouse or training pipeline, with no cleanup pass on your side.
Buy it in pieces
Take the whole dataset or just the slice you need. License one dataset or several combined, as a one-time pull or an ongoing feed — and always start with a sample.
make & model
region / state
year range
date range
just the fields you need
FAQ
Frequently asked questions
Major wholesale auction venues across the US, normalized to one consistent schema so you do not have to reconcile different formats. Your account team will confirm exact venue coverage for your segment during scoping.
The dataset is updated as sales post, typically weekly. New auction results flow into the same VIN keyspace as the retail listings feed, so downstream joins stay current.
CSV, Parquet, or JSON, delivered to your S3 bucket, Snowflake, BigQuery, or SFTP endpoint. Full history or a filtered slice both work the same way.
Commercial use is covered, including analytics and model training. Some sources carry attribution requirements your account team will identify during the order process.
Get Started
Tell us what you need
Tell us about your auction-data use case and we'll come back with a dataset recommendation, a sample, and a quote — usually within 2 business days. No sales call required to get the numbers.
What every car actually sold for
43M+ auction sales · true close prices · condition grades · VIN-linked · to your cloud. Tell us your use case and we'll send a sample.