What will you
build?
From algorithmic trading to academic research, see how teams use Probalytics to build powerful prediction market applications.
Get StartedAutomated trading across all platforms
Build trading bots that monitor multiple prediction markets simultaneously. React to price movements in milliseconds, execute strategies across Polymarket, Kalshi, and more from a single codebase.
- Sub-second price updates via Server-Sent Events
- Unified order format across all platforms
- Built-in rate limiting and error handling
Years of data, ready for analysis
Access comprehensive historical data going back to 2020. Study forecasting accuracy, analyze market efficiency, and research crowd wisdom dynamics with clean, normalized datasets.
- Export to CSV, JSON, or Parquet formats
- Resolution outcomes for accuracy studies
- Event metadata and categorization
150K+
Markets indexed
$12B+
Volume tracked
5 yrs
Data coverage
Find similar markets instantly
Every market is embedded into a vector space. Stream markets with high semantic similarity via SSE, or query our blazing-fast vector search to find related predictions across all platforms.
- Real-time SSE stream of similar markets above your similarity threshold
- Sub-millisecond vector search across millions of markets
- Spot arbitrage opportunities between semantically matched events
BTC above $100k by end of 2024
Polymarket
Bitcoin to reach $100,000?
Will Bitcoin hit $100K in 2024?
ETH to flip BTC market cap
Simple REST API
Clean endpoints, consistent responses. Just fetch the data you need. Real-time updates via Server-Sent Events.
- Simple REST API with consistent response formats
- Real-time streaming via Server-Sent Events
- Comprehensive documentation and examples
// Fetch market data
const response = await fetch('https://api.probalytics.io/v1/markets', {
headers: { 'Authorization': 'Bearer pk_...' }
})
const { data } = await response.json()
// Stream real-time price updates
const events = new EventSource(
'https://api.probalytics.io/v1/stream?token=pk_...'
)
events.onmessage = (e) => {
const price = JSON.parse(e.data)
console.log(price.market, price.yes)
}