Two-date MLB Polymarket and Kalshi matched-book sample. Nearest quotes within 30 seconds; partial coverage and unresolved labels are documented.
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.
Start by inspecting the free sample and schema. If this format fits your project, review the larger MLB archive's coverage. The tryout and archive are separate one-time purchases.
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.
MLB 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: 25,914 total rows · book samples 2026-06-21T00:00:27.733581Z through 2026-06-23T11:59:58.048793Z · artifact vintage 2026-06-22; separate from observation times
Test joins, types and research code against the same schema used by the full MLB archive.
Confirm that the Polymarket and Kalshi bids, asks, spread and settled label answer your question before buying more data.
We publish real sample rows — not a marketing mockup. Load them in DuckDB, inspect the schema and coverage contract, then decide.