Who will the OpenAI spy be accused of working for in 2026?Polymarket historical data and price history
Who will the OpenAI spy be accused of working for in 2026: a standalone Polymarket politics event with 10 markets and $115.5K in lifetime traded volume. 10 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 15, 2026.
Data as of 2026-10-19
Top 5 of 10 markets
Will the OpenAI spy be accused of working for Saudi Arabia by December 31?
closes 2027-01-01 · volume $23.1K · last price 20.0%
Will the OpenAI spy be accused of working for Russia by December 31?
closes 2027-01-01 · volume $18.1K · last price 9.5%
Will the OpenAI spy be accused of working for China by December 31?
closes 2027-01-01 · volume $9.8K · last price 8.5%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Who will the OpenAI spy be accused of working for in 2026", 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=datetime.now(timezone.utc) - timedelta(days=2))
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Who will the OpenAI spy be accused of working for in 2026"?
10 markets with full depth L2 order book history recorded since October 15, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Who will the OpenAI spy be accused of working for in 2026" traded on Polymarket?
$115.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Who will the OpenAI spy be accused of working for in 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Who will the OpenAI spy be accused of working for in 2026", 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.
Related events: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, or the full event list.
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