Unified APIs Fuel Prediction Market Liquidity
Kurush Dubash, CEO of Dome, on unified API for prediction markets
Polymarket won early by acting less like a single app and more like shared market infrastructure. When a platform exposes market data, order books, and trading access to outside developers, it can show up inside wallets, media sites, bots, and aggregator apps, which brings in more traders and tighter prices. In prediction markets, that matters because the best product is usually the market with the most constant flow of buyers and sellers, not just the prettiest destination app.
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Polymarket was built on crypto rails with USDC settlement and zero trading fees in 2025, which made it easier to plug into external apps and cheaper to route order flow through. That structure helped it scale globally and push 2024 volume to about $9B, far above the prior year.
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Kalshi points in the same direction from the regulated side. It spent years building the compliance stack needed for a CFTC license, then expanded distribution through APIs, SDKs, and partners. The core business logic is the same, more endpoints feeding the same matching engine means more volume and better liquidity.
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This is exactly why an aggregator like Dome exists. Developers do not want separate code paths for Polymarket GraphQL, Kalshi REST, wallet setup, and venue specific schemas. A unified layer makes it easier to build trading products on top of whichever venue has the best price, which further rewards open platforms.
The market is heading toward a model where a few venues own liquidity and many other apps own the customer relationship. That favors platforms willing to let outside products read prices, route trades, and embed markets everywhere. In that setup, openness is not a side feature, it is the distribution strategy that compounds liquidity over time.