Corvic AI for Prediction Market Analysis
This tutorial shows how to build an agent that pulls markets from Kalshi, Polymarket, and PredictIt, matches equivalent markets across venues, and surfaces a ranked list of cross-market arbitrage opportunities — all grounded in live data.What You’ll Learn
- Connecting to multiple prediction market venues as live data sources
- Matching semantically equivalent markets across Kalshi, Polymarket, and PredictIt
- Computing implied probabilities and detecting pricing discrepancies
- Surfacing a ranked list of cross-market arbitrage opportunities
How It Works
Connect the Venues
Bring in markets from Kalshi, Polymarket, and PredictIt as live data sources so pricing stays current without duplicating data.Match Markets Across Venues
Use embeddings to align markets that describe the same underlying event, even when their titles and wording differ across platforms.Rank Arbitrage Opportunities
Compare implied probabilities across matched markets to identify and rank cross-venue price discrepancies where an arbitrage opportunity exists.Related Documentation
Live Data Connectors
Connect directly to live data sources without duplicating data.
Data Sources
Learn about connecting and managing data sources.
Agents
Configure agents that reason across your data.
Spaces
Build embeddings to match markets across venues.