What will the next Muse model family be named?Polymarket historical data and price history
What will the next Muse model family be named: a standalone Polymarket other event with 33 markets and $51.4K in lifetime traded volume. 6 markets are trading. Marketlens records every market's order book at full depth, coverage running since October 3, 2026.
Data as of 2026-10-05
Top 5 of 33 markets
Will the next Muse model family be named Muse Fire?
closes 2026-12-31 · volume $5.4K · last price 18.0%
Will the next Muse model family be named Muse Flare?
closes 2026-12-31 · volume $12.2K · last price 14.7%
Will the next Muse model family be named Muse Watermelon?
closes 2026-12-31 · volume $10.6K · last price 11.5%
Query this event
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="What will the next Muse model family be named", 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 "What will the next Muse model family be named"?
33 markets with full depth L2 order book history recorded since October 3, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "What will the next Muse model family be named" traded on Polymarket?
$51.4K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "What will the next Muse model family be named" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "What will the next Muse model family be named", 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: Which companies will be acquired before 2027?, Anthropic IPO by __?, Iran full airspace closure by...?, 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