Get a single event with aggregate stats and optionally all its markets.
Use ?expand=markets to include individual outcome markets in the response.
Event slug (e.g., 'kalshi:kxtrumpadminleave-26dec31')
200Comma-separated expansions: 'markets'
100Successful Response
Prediction market event grouping related outcome markets.
An event like "Who will leave the Trump administration?" contains multiple individual markets (one per potential leaver). This model aggregates them with pre-computed stats.
URL-safe event identifier (e.g., 'kalshi:kxtrumpadminleave-26dec31')
Event question (e.g., 'Who will leave the Trump administration?')
Primary platform (kalshi, polymarket)
Number of individual outcome markets in this event
x >= 0Aggregate 24h volume across all markets in USD
x >= 0When aggregate stats were last refreshed
Event category (politics, economics, sports, etc.)
Highest-probability outcome price
0 <= x <= 1Platform is actively promoting this event
Same event on other platforms (cross-platform linking via embedding similarity)
Individual outcome markets (include with ?expand=markets)