Data Foundation
Heisenberg AI continuously collects, cleans, and normalizes data from multiple prediction market platforms and social sources.
Data Sources
Polymarket
LiveMarkets, trades, orderbooks, candlesticks, wallet analytics, and PnL data from the largest crypto prediction market.
Kalshi
LiveMarket catalog and trade history from the US-regulated prediction exchange.
Social Media
LiveSocial mentions and sentiment from X/Twitter and other platforms, delivered within seconds and filtered for prediction market relevance.
Collection Process
- •Data is collected continuously via WebSocket connections and polling where needed.
- •Raw data is cleaned and normalized into a consistent schema across all platforms.
- •Heisenberg AI handles rate limits, retries, and reconnections so you don't have to.
Data Freshness
Trades, prices, and market state are available within seconds of the source event. All API responses are served with sub-300ms latency. Computed analytics like H-Scores and wallet profiles are refreshed on a regular cadence.
Why this matters: Stale data costs money in prediction markets. A 10-second delay on a trade feed can mean missing a price move entirely. Heisenberg AI is built for the speed that trading demands.