Polymarket Formula 1 data: grand prix pricing at 250ms

F1 sits in the long tail of the sports catalog alongside Formula 1, NASCAR, MMA, basketball, rugby, and cricket — families Polymarket lists continuously but which the coverage page reports as long tail rather than a counted split.

Long-tail status changes nothing about the record: any F1 market PolyOrderbooks lists is captured as a full L2 book four times per second, exactly like the counted families. What the official API gives you — the live ladder, no history — is the same too.

Race-winner and driver-market questions trade as binaries like every other contract. Each resolves to the same record: bid and ask ladders with sizes, a captured_at timestamp, and the winning outcome.

Because the per-family counts are not published for the long tail, this page does not claim a number it cannot attribute — the honest split lives on the sports data 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 motorsport events; /v1/markets for questions and slugs.
• Coverage — measured counts per sport on the sports data page.

Race weekend runs three days: Friday practice barely moves the winner market, qualifying locks the front row, and a first-lap incident reprises the race line inside the opening corner. Every one of those frames expires on the official API at the checkered flag; the archive keeps them for replay.

F1 sits in the long tail of the 700k+ sports catalog with other series Polymarket lists continuously but counts as one combined market pool. Its questions are race winners and driver standings within that pool, so the study signal is the cadence — a season's worth of weekend cycles rather than a per-race fixture split.

Three repeatable measurements fit the record: how far the winner market tightens between qualifying and the grid lights, whether first-corner incidents show up as single-second reprises on the executable side, and whether driver-props drift through the long races of the calendar.

The honest pull for a long-tail series: /v1/series for the Grands Prix, /v1/markets for the race questions, and the archive window around the lights-to-flag stretch for any race worth replaying after the result.

The seam is the green flag: the ladder reprices hard in the first two corners and again at each safety-car restart, because the executable side changes with every opening.

As a long-tail family, count-less, treat race-level claims as case studies unless a recorded season of the series is pulled into one window.

The free tier gives 3 days — enough for one full race weekend — and Pro extends the window to 120.

Study one: measure how much the winner market tightens between qualifying and the grid lights, using the 29-hour window from qualifying to race start at 250ms.

Study two: replay a first-lap incident and compare the reprise timing against the recorded one-second family collapse in crypto — the executable floor is the unit of comparison.

Study three: test whether safety-car restarts reprise the winner line within a single lap across all restarts of a season.

The honest scale is a full season's windows — inside the Pro 120-day reach — with the free tier holding a single race weekend for the first cut.

First exercise: qualifying day. Pull the winner-market window between the qualifying session and the lights-out moment, and measure how much the favorite tightened on the hybrid Saturday grid. That single window teaches the long-lead repricing arc that distinguishes motorsport from every other family.

Then pull a safety-car restart during the race and compare the executable price before and after the restart within the same lap; sub-second reprise timing is the consistent pattern across venues.

Resolve the weekend's pulls and keep them queryable; one race weekend is a case study, and a full season of those windows is the smallest legitimate motorsport dataset on this site.

• Sports data
• Market data
• Order book data