yes Kansas City,yes New York Y,yes Denver
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:52 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 06:28 UTC | View → |
| Kalshi | — | — | — | 09:39 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 08:19 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 15:46 UTC | View → |
| Kalshi | — | — | — | 15:21 UTC | View → |
| Kalshi | — | — | — | 14:45 UTC | View → |
| Kalshi | — | — | — | 14:02 UTC | View → |
| Kalshi | — | — | — | 15:12 UTC | View → |
| Kalshi | — | — | — | 21:36 UTC | View → |
| Kalshi | — | — | — | 08:19 UTC | View → |
| Kalshi | — | — | — | 17:17 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 17:31 UTC | View → |
| Kalshi | — | — | — | 20:13 UTC | View → |
| Kalshi | — | — | — | 22:27 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 06:50 UTC | View → |
| Kalshi | — | — | — | 19:00 UTC | View → |
| Kalshi | — | — | — | 23:51 UTC | View → |
| Kalshi | — | — | — | 08:11 UTC | View → |
| Kalshi | — | — | — | 14:35 UTC | View → |
| Kalshi | — | — | — | 21:28 UTC | View → |
| Kalshi | — | — | — | 17:53 UTC | View → |
| Kalshi | — | — | — | 13:50 UTC | View → |
| Kalshi | — | — | — | 19:43 UTC | View → |
| Kalshi | — | — | — | 13:49 UTC | View → |
| Kalshi | — | — | — | 11:59 UTC | View → |
| Kalshi | — | — | — | 23:28 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 12:22 UTC | View → |
| Kalshi | — | — | — | 00:15 UTC | View → |
| Kalshi | — | — | — | 23:28 UTC | View → |
| Kalshi | — | — | — | 12:22 UTC | View → |
| Kalshi | — | — | — | 08:19 UTC | View → |
| Kalshi | — | — | — | 05:56 UTC | View → |
| Kalshi | — | — | — | 12:48 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 19:18 UTC | View → |
| Kalshi | — | — | — | 16:30 UTC | View → |
| Kalshi | — | — | — | 01:04 UTC | View → |
| Kalshi | — | — | — | 11:58 UTC | View → |
| Kalshi | — | — | — | 13:50 UTC | View → |
| Kalshi | — | — | — | 13:50 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 16:30 UTC | View → |
| Kalshi | — | — | — | 16:43 UTC | View → |
| Kalshi | — | — | — | 10:00 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 12:22 UTC | View → |
| Kalshi | — | — | — | 21:16 UTC | View → |
What do these odds mean?
Cross-platform data for yes Kansas City,yes New York Y,yes Denver is still being collected.
How to read cross-platform spreads
When two platforms price the same event meaningfully differently, it usually means one of three things: liquidity is thin on one side, fee structures are pushing a spread, or traders on one platform have information the other lacks. Spreads larger than 5 percentage points on events with over $50K in volume often resolve toward the higher-volume platform's price.
About this data
Beeks.ai aggregates prediction market data from Polymarket, Kalshi, and Manifold. Updates run every minute. Consensus probability is a volume-weighted average across all matched markets. Historical snapshots are stored for calibration analysis.
News & context
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.