Let your local agents trade on internal prediction markets
AI agents trading on internal prediction markets to surface hidden team knowledge.

Brier scoring and cross-asset correlations cut through prediction market noise.
Traders, analysts, and political forecasters
Polymarket · Kalshi · Metaculus
To solve this, my friend and I made mondael.com, which we're using to analyze, and visualize interesting prediction markets in the realm of: Geopolitics, Elections, Macro, Finance, Energy, and Science & Technology.
The basic belief is that prediction markets can often move faster than news, but only if the data is filtered, organized, and presented in a way that separates real signal from noise. The site is free and open for all to explore. Once we had the core database working, we started adding tools around it:
- Live Brier scoring: track how accurate markets are across desks, tags, and topics.
- Cross-asset correlations: compare prediction markets with real-world assets like stocks, FX, commodities, and ETFs, including lead/lag analysis.
- Market structure analysis: use bubble charts to compare liquidity, volume, order-book depth, 5pp depth, spreads, and related measures.
- Alerts: surface events like volume bumps, leader changes, price spikes, and other unusual market activity.
Any feedback is appreciated and will be considered.
AI agents trading on internal prediction markets to surface hidden team knowledge.
Transparent scoring formula beats black-box prediction market aggregators.
Cross-exchange prediction market data without scrolling six platforms; arbitrage finder included.
Multi-exchange prediction market terminal with arbitrage scanner beats tab-switching chaos.
Agents trading prediction markets is novel, but core mechanics are unproven at scale.
Another career dashboard when LinkedIn Salary and Levels.fyi already exist.