pm:first-week-album-salesPolymarketEntertainment15 open on Nov 1

First Week Album Sales historical data

First Week Album Sales price history on Polymarket: 15 markets, order books, trades and on-chain fills, as daily Parquet files.

Example market: Will "GTA VI: The Album" first week sales be at least 25k?

Sample: Oct 27 Get this data

1.1 million rows15 markets32 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 ts_recvtimestamp[ns, UTC] ts_venuetimestamp[ns, UTC] tickerstring seriesstring is_snapshotbool sidestring pricefloat64 sizefloat64 tick_sizefloat64 hashstring	Full book	SampleParquet·CSV
Polymarket trades polymarket_trades	Every Polymarket CLOB trade: outcome price, size, taker side, fee, and transaction hash. 9 columns ts_recvtimestamp[ns, UTC] ts_venuetimestamp[ns, UTC] tickerstring seriesstring pricefloat64 sizefloat64 sidestring fee_rate_bpsfloat64 transaction_hashstring	Research	SampleParquet·CSV
Polymarket on-chain fills polymarket_fills	Every OrderFilled log from the Polymarket exchange contracts on Polygon. 19 columns ts_recvtimestamp[ns, UTC] ts_venuetimestamp[ns, UTC] tickerstring seriesstring exchangestring order_hashstring makerstring takerstring sidestring pricefloat64 sizefloat64 fee_usdcfloat64 maker_amountstring taker_amountstring feestring is_summarybool transaction_hashstring block_numberint64 log_indexint64	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 ts_recvtimestamp[ns, UTC] tickerstring slugstring questionstring outcomesstring tick_sizefloat64 neg_riskbool end_tstimestamp[ns, UTC] accepting_ordersbool	Explorer	SampleParquet·CSV

Use it in code

API docs · MCP server · Historical data guide

# pip install "kalshieye[pandas]"
from kalshieye import Client

kx = Client()  # reads KALSHIEYE_API_KEY
df = kx.load("polymarket_l2", "2026-10-27", "2026-10-27", series="pm:first-week-album-sales")

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