Listings · California

California vehicle listingsbuilt for pricing and risk work

1,127,423 live California listings on August 30, 2026, each carrying an asking price, an odometer reading, trim, condition and days on lot. Pull a cohort around one vehicle, a days-on-market distribution for a model, or every car inside a radius of a point you choose.

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What does the California vehicle listings API give a pricing or risk team?

The California vehicle listings API is a read-only REST query over the live retail inventory advertised in the state - 1,127,423 listings on August 30, 2026. For a lender, an insurer or a valuation team, the useful part is the shape of a row rather than the count of them: every listing carries an asking price, an odometer reading, trim, new, used or certified status, and first_seen and last_seen dates, so you can see what a car is being asked for today and how long it has sat unsold. /v1_2/listings/comparables returns a cohort for one subject vehicle with count, min, max, mean, median, p25 and p75 for both price and odometer, plus nearest-price samples. /v1_2/listings/mds returns a days-on-market distribution for one year, make and model scoped to a state. Both are metered per call from the same credit wallet as everything else, and a failed call costs nothing.

1,127,423
live California listings on August 30, 2026
92.8%
of catalog listings carry an asking price
p25 / median / p75
price and odometer, per comparable cohort
~500
market stat calls per credit

Registrations are a flow, listings are a stock

California is a large retail market - CNCDA counted 864,848 new light-vehicle registrations in the first half of 2026, down 7.7%, with hybrids at a record 22.1% share - yet its live listing pool typically runs behind Texas and Florida. That is a turn story, not a coverage gap. A listing count measures what is unsold on lots this morning, so inventory that moves faster shows up as a smaller stock. Read the two measures together before you treat listing volume as market size.

Cohorts, not averages

A statewide mean price is not a comp. /v1_2/listings/comparables takes one subject by id or VIN and returns the cohort around it - the cohort key, full price and odometer distributions, and up to 50 nearest-price sample listings. Restrict it to the subject's own trim, or to its own state, when the question is what this car is worth here rather than what the model is worth nationally.

Underwrite by geography, not by state line

Send lat, lon and radius_km together and every row comes back with distance_km, with distance sorting available so the nearest inventory leads. City and postal-code prefix filters do the same job when your book is defined by ZIP rather than by radius. A scan is charged the same whether it covers one county or the whole state, so the tighter query saves you calls, not licence fees.

Check the price field before you model on it

Across the catalog, 92.8% of listings carry an asking price - which is a way of saying some do not. We publish the exact rate rather than rounding it up to complete, and a field with no value is omitted rather than sent as null, so a missing price surfaces in your loader instead of arriving as a zero. Decide how a no-price listing is treated before it reaches the model.

California cities you can scope a query to

Los AngelesSan DiegoSan JoseSan FranciscoSacramentoFresnoLong BeachOaklandBakersfieldAnaheimRiversideStockton

Compliance & sourcing

What you are querying is advertised inventory: asking prices and time on lot, not sold transactions and not consumer records. Model on that basis, and say so in whatever you publish off it. Our terms explicitly license derived products - a pricing API, a residual or valuation model, a market-analytics dashboard, a merchandising tool built on this data is yours to sell. The line is the raw data: you may not resell, redistribute or expose the listings, or a substantial portion of them, in a form a third party could extract as a standalone dataset. Seller phones and emails on a full record are the contact details the dealer chose to publish on that listing, licensed for your own use.

Industry context

Independent research on this segment, from the primary sources. We don't publish these figures — we read them off the publisher's own page, and last checked every one on .

  • California New Car Dealers Association · Q2 2026, published July 20, 2026

    California Auto Outlook

    California registered 864,848 new light vehicles in the first half of 2026, down 7.7%, while hybrids hit a record 22.1% share and ZEV registrations fell 24.8%.

    Quarterly, built on Experian Automotive registration data.

    Read it at California New Car Dealers Association

Frequently asked questions

How many vehicle listings are live in California?

1,127,423 on August 30, 2026, out of 19,349,581 across the US and Canada. That figure is read from the same production snapshot the API serves, at full precision rather than rounded, and it moves every day with dealer inventory. Query it yourself with a state filter on /v1_2/listings/search, or read the whole per-region rollup from /v1_2/listings/stats/region.

Why does California show fewer listings than Texas?

Because a listing count is a snapshot of unsold inventory rather than a measure of sales. A market where cars turn quickly holds fewer of them on the lot on any given morning, so a smaller live pool can sit under a larger sales volume. Use /v1_2/listings/mds for a days-on-market distribution, and first_seen and last_seen on the rows themselves, to measure the difference instead of inferring it from the totals.

Can I get days on market for a specific model in California?

Yes. /v1_2/listings/mds takes a year, make and model, plus an optional state scope, and returns the active listing count with a days-on-market distribution - count, min, max, mean, median, p25 and p75. For anything the endpoint does not cover, every listing row carries first_seen and last_seen, so you can compute time on lot yourself over whatever cohort you have pulled.

Can I build a valuation model on California listings data?

Yes - derived products are explicitly licensed. You may build and sell pricing APIs, valuation and residual models, market analytics and merchandising tools powered by the listings. What you may not do is resell or redistribute the listings themselves, or a substantial portion of them, in a form a third party could extract and use as a standalone dataset. The full terms are on our terms of service page.

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