Meta's "Watermelon" model released by...?Polymarket historical data and price history
Meta's "Watermelon" model released by: a standalone Polymarket other event with 3 markets and $39.5K in lifetime traded volume. 3 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 16, 2026.
Data as of 2026-09-17
Markets in this event
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Meta's Watermelon model released by", 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 "Meta's "Watermelon" model released by"?
3 markets with full depth L2 order book history recorded since September 16, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Meta's "Watermelon" model released by" traded on Polymarket?
$39.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Meta's "Watermelon" model released by" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Meta's "Watermelon" model released by", 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 1M rows per day.
Related events: Which companies will be acquired before 2027?, Iran full airspace closure by...?, Anthropic IPO by __?, or the full event list.
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The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens