Historical Kalshi WNBA L2 depth and deduplicated prints. Fractional quantities corrected; dated Parquet download with schema and coverage map.
Full schema & known gaps →· Sold as-is — but if a file is broken or won't open, email [email protected] and we'll send a fixed file or refund you. No hassle.
Inspect the free sample rows and schemas before buying.
Artifact vintage: the product page and shipped documentation state the exact coverage, row counts and known limitations. A purchase delivers the advertised frozen artifact; no future refresh is promised unless the checkout terms explicitly say so.
Declared season scope; individual event-to-season mapping is unverified. This is not a complete-season archive.
WNBA 2026 · Phase coverage not specified
UTC timestamps retain their recorded precision; dates alone identify UTC days. Vintage, observation and sports event times are separate. Capture time does not establish exchange quote freshness.
Sports event starts: start unknown → end unknown. Event dates are not inferred from these quote capture windows.
Venue APIs expose useful live books, trades and price history, but they do not serve the same historical snapshot and game-context archive packaged here. Data that was not recorded during the live window cannot be recreated from a current-book endpoint later. The exact fields, cadence, venue coverage and limitations vary by product, so this page and the shipped documentation state the contract explicitly instead of calling every file complete or tick-level.
Dated snapshot: 23,167,962 depth rows · 2,571,860 trade prints · 25,739,822 total rows · book samples 2026-06-21T21:24:15Z through 2026-10-02T23:59:16Z · artifact vintage 2026-10-02; separate from observation times
Study game-market depth and prints through Aug 31, with capture gaps and variable poll intervals.
Use taker_side and the fractional count on deduplicated KXWNBAGAME prints; game_state is retrieval-time context, so join your own score timeline at created_time.
We publish real sample rows — not a marketing mockup. Load them in DuckDB, inspect the schema and coverage contract, then decide.