GraphMarkets is built exclusively to sell prediction-market intelligence. Across Kalshi, Polymarket, and IBKR ForecastEx, we map verified relationships, then provide the context and price condition needed to evaluate a potential opportunity.
For prediction-market traders, research desks, and systematic teams: use verified market relationships to evaluate opportunities, understand risk, and make better-informed decisions across platforms.
Spot when logically related contracts are priced inconsistently, then evaluate whether the available prices, liquidity, fees, and rules make the relationship actionable.
Find equivalent or implied markets on the same or another platform to offset risk without giving up your underlying view.
See when positions that appear unrelated are actually exposed to the same event, outcome, threshold, or timing condition.
Check whether your thesis is consistent with the resolution logic and conditions of related markets, and surface connections that may warrant further research.
Feed relationship data into alerts, research workflows, risk systems, or execution models so new connections and changing conditions do not get missed.
Use relationship-aware prediction-market data as alternative intelligence for research, monitoring, and systematic strategies across markets.
We support multiple relationship types and continuously discover candidates, validating their event scope, timing, and resolution context before delivery. Your feed makes the reviewable evidence visible, so you can independently assess each relationship before trading.
We normalize event and market data from Kalshi, Polymarket, and IBKR ForecastEx into a common relationship model.
Candidate relationships are screened for mismatched geography, timeframe, event scope, and contract type.
We compare market language, resolution timing, and rules, then document material differences and verification sources.
Each record includes every leg, conditions, sources, differences, and observed prices—so you can assess liquidity, fees, and the opportunity.
A continuously updated feed of relationships across Kalshi, Polymarket, and IBKR ForecastEx. Each record includes the relationship logic, platform and leg details, resolution conditions, verification sources, nuanced market differences, and observed prices for your own evaluation. You decide whether and how to trade.
No. GraphMarkets is a data and intelligence product, not a broker or fund. We surface the relationships and the conditions; execution, capital, and risk stay entirely with you.
Every candidate is checked against its geography, timeframe, event scope, resolution date, and available resolution rules. Records without sufficient support are held back for additional review rather than published.
Discovery and monitoring run continuously. Records carry an observed time and status, and price conditions should always be rechecked against available executable liquidity before trading.
Through a web dashboard with CSV/JSON export, plus a REST API and real-time push for programmatic consumers.
We cover Kalshi, Polymarket, and IBKR ForecastEx across their available categories, including Elections, Economics, Crypto, Sports, Entertainment, and Science & Tech. Coverage depth varies by platform and market availability.
No. A flagged condition means the displayed prices satisfy the inequality at the moment of observation. Real profit depends on fillable size, fees, slippage, the time until both legs resolve, and capital being locked until then. You should verify every leg before trading.
The data feed itself has no restriction. However, Polymarket blocks API and trading access from some regions (including US IPs), and Kalshi availability varies by jurisdiction. Whether you can act on a given relationship depends on your own location and the platforms' terms — that's on you to confirm.
Yes — leave your email below and we'll send a sample slice of the relationship feed so you can judge quality for yourself.
Leave your email and we'll send an annotated sample relationship record — no commitment. Get a sample feed →