New York City Marathon 2026: Top American Man historical data
New York City Marathon 2026: Top American Man price history on Polymarket: 23 markets, order books, trades and on-chain fills, as daily Parquet files.
Example market: Will Sam Chelanga be the top American finisher in the 2026 New York City Marathon Men's Open Division?
77.3 thousand rows23 markets2 MB4 datasets, full order book includedUpdated daily
Datasets
One file per dataset per UTC day. Data dictionary · Hourly coverage
| Dataset | What it holds | Plan | Sample |
|---|---|---|---|
| Polymarket order book polymarket_l2 | Every Polymarket CLOB snapshot and price-level change, for both outcome tokens of every market. 10 columns
| Full book | SampleParquet·CSV |
| Polymarket trades polymarket_trades | Every Polymarket CLOB trade: outcome price, size, taker side, fee, and transaction hash. 9 columns
| Research | SampleParquet·CSV |
| Polymarket on-chain fills polymarket_fills | Every OrderFilled log from the Polymarket exchange contracts on Polygon. 19 columns
| Research | SampleParquet·CSV |
| Polymarket markets polymarket_markets | Every Polymarket market with order book or trade data in the day: question, outcomes, tick size, and end time. 9 columns
| Explorer | SampleParquet·CSV |
Use it in code
# pip install "kalshieye[pandas]" from kalshieye import Client kx = Client() # reads KALSHIEYE_API_KEY df = kx.load("polymarket_l2", "2026-10-31", "2026-10-31", series="pm:nyc-marathon-2026-top-american-man")