Polymarket WNBA data: league pricing at 250ms

WNBA questions on Polymarket cover game winners, totals, and player props across the regular season. Live books are free from the official API; historical books are not.

The official /book route has no past, so any 'what was the spread pricing when the fourth quarter opened?' question depends on capture that happened during the game. PolyOrderbooks stores full ladders four times per second for the WNBA series it lists.

WNBA contracts use the same shapes as the rest of the basketball long tail — totals, moneylines, and props — and resolve to the shared record: full bid/ask ladders with sizes, a captured_at timestamp, and the winning outcome.

No WNBA-specific count is quoted because the family is measured as long tail; the honest split is on the sports data coverage page.

• Live ladder — official /book, free and keyless, current moment only (what the API serves).
• Historical depth — full L2 books at 250ms over REST, free Starter with 3 days, paid windows to 120 days.
• Discovery — /v1/series for WNBA; /v1/markets for questions and slugs.
• Coverage — measured counts per sport on the sports data page.

A summer WNBA slate runs its own four quarters, and the fourth-quarter winner market is the message of the night — it reprices on runs, settles on the final possession, and disappears from the official API the instant the horn sounds. The archive keeps it as replayable frames.

WNBA questions cover game winners, totals, and player props across the regular season, sitting alongside the NBA in the 700k+ long tail rather than a separate counted split. A full matchup week yields dozens of independently settling quarter books rather than one fixture book per event.

The repeated patterns worth checking against the record: whether a marked wingspan mismatch shows up in the fourth-quarter line, whether totals drift late as starters sit, and whether the player-prop market reprices on a star's early foul trouble within a single possession sequence.

Access is the same machinery: series and market endpoints scope the slate, and the archive returns the full 250ms ladder for the fourth-quarter window — the whole arc from tip to final horn.

The fourth-quarter window and star-foul moments are the volatility seams, with the executable side flipping on consecutive possessions during a run.

As long-tail data, treat a night as a case study; a summer-long window in the archive is the scale that supports conclusions.

Free Starter covers 3 days of the season; Pro reaches 120 and resolved games stay queryable.

Study one: measure the fourth-quarter book against the opening line across a summer slate, with the venue's one-sided share as the constant on all frames.

Study two: replay a star's early foul-trouble possession and count the reprise timing on the player-prop market; sub-second moves are the documented standard across families.

Study three: compare game-winner and total-market widths in the final quarter to see which reprices faster as starters sit.

A weekend slate fits Starter's 3 days; the Pro window holds a full regular-season month and keeps every resolved game queryable after the final horn.

The starter pull is, again, one quarter: take the fourth-quarter window of a summer game from the series list and count the executable-side flips off the opening line. A star's early foul trouble reprises props inside one possession, and the record shows it at 250ms.

Then compare the game-winner and totals books at an identical second to see which reprices first as starters sit; that ordering is the WNBA market's signature.

Resolve the pulled markets and keep the slate queryable; a summer weekend is the honest first dataset, and the Pro window extends it across the season.

• Sports data
• Market data
• Order book data