Meta's Watermelon Model: Text Arena Debut?Polymarket historical data and price history
Meta's Watermelon Model: Text Arena Debut: a standalone Polymarket other event with 5 markets and $28.1K 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 October 14, 2026 through October 14, 2026.
Data as of 2026-10-19
Markets in this event
Will Meta's Watermelon model debut at a score of at least 1510 by June 30, 2027?
closed 2026-10-14 · volume $7.6K · resolved No
Will Meta's Watermelon model debut at a score of at least 1500 by June 30, 2027?
closed 2026-10-14 · volume $7.5K · resolved Yes
Will Meta's Watermelon model debut at a score of at least 1505 by June 30, 2027?
closed 2026-10-14 · volume $6.2K · resolved No
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Meta's Watermelon Model: Text Arena Debut", 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
# a free key reads markets open in the last 7 days
book = client.orderbook.get(market.id, at=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Meta's Watermelon Model: Text Arena Debut"?
5 markets with full depth L2 order book history recorded since October 14, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Meta's Watermelon Model: Text Arena Debut" traded on Polymarket?
$28.1K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Meta's Watermelon Model: Text Arena Debut" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Meta's Watermelon Model: Text Arena Debut", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work; the free tier reads markets open in the last 7 days and Pro the full archive.
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Try it
Pull this event's books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens