Will a Chinese company have a top ___ AI model by December 31?
A standalone Polymarket other event with 2 markets and $131.9K in lifetime traded volume. 2 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 2, 2026.
Data as of 2026-09-04
Markets in this event
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Will a Chinese company have a top ___ AI model by December 31", 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 "Will a Chinese company have a top ___ AI model by December 31"?
2 markets with full depth L2 order book history recorded since September 2, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Will a Chinese company have a top ___ AI model by December 31" traded on Polymarket?
$131.9K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Will a Chinese company have a top ___ AI model by December 31" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Will a Chinese company have a top ___ AI model by December 31", 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: Iran full airspace closure by...?, Will GameStop acquire eBay?, Anthropic IPO by __?, or the full event list.
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The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens