US Open 2026: To Reach Semifinals (Men's Singles)
A standalone Polymarket sports event with 1 market and $4.5K in lifetime traded volume. All markets have resolved, each with its winning outcome stored. Marketlens records every market's order book at full depth, coverage running since September 10, 2026.
Data as of 2026-09-11
The market in this event
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="US Open 2026: To Reach Semifinals (Men's Singles)", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "US Open 2026: To Reach Semifinals (Men's Singles)"?
1 markets with full depth L2 order book history recorded since September 10, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "US Open 2026: To Reach Semifinals (Men's Singles)" traded on Polymarket?
$4.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "US Open 2026: To Reach Semifinals (Men's Singles)" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "US Open 2026: To Reach Semifinals (Men's Singles)", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, MLB World Series Champion 2026, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens