Maduro Prison Time?
A standalone Polymarket politics event with 5 markets and $714.4K in lifetime traded volume. 5 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 4, 2026.
Data as of 2026-09-04
Markets in this event
Will Nicolás Maduro be sentenced to no prison time?
closes 2027-12-31 · volume $438.8K · last price 42.5%
Will Nicolás Maduro be sentenced to at least 60 years in prison?
closes 2027-12-31 · volume $87.3K · last price 27.5%
Will Nicolás Maduro be sentenced to between 20 and 40 years in prison?
closes 2027-12-31 · volume $56.7K · last price 12.8%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Maduro Prison Time", 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 "Maduro Prison Time"?
5 markets with full depth L2 order book history recorded since September 4, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Maduro Prison Time" traded on Polymarket?
$714.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Maduro Prison Time" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Maduro Prison Time", 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: 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 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens