US-Canada diplomatic agreement to lower tariffs by...?
A standalone Polymarket politics event with 4 markets and $75.5K in lifetime traded volume. 1 markets have resolved and 3 are still trading. Marketlens records every market's order book at full depth, coverage running since August 31, 2026.
Data as of 2026-09-04
Markets in this event
US-Canada diplomatic agreement to lower tariffs by December 31?
closes 2027-01-01 · volume $23.3K · last price 54.5%
US-Canada diplomatic agreement to lower tariffs by October 31?
closes 2026-11-01 · volume $13.8K · last price 26.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="US-Canada diplomatic agreement to lower tariffs 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 "US-Canada diplomatic agreement to lower tariffs by..."?
4 markets with full depth L2 order book history recorded since August 31, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "US-Canada diplomatic agreement to lower tariffs by..." traded on Polymarket?
$75.5K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "US-Canada diplomatic agreement to lower tariffs by..." data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "US-Canada diplomatic agreement to lower tariffs 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 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