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What you can build with
prediction market data

From algorithmic trading to academic research, see how teams use Probalytics to build powerful prediction market applications.

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Works with your stack

ClickHouseDuckDBPolarsSparkpandas

Trade the spread across venues

Monitor the same event on Polymarket and Kalshi from one unified source, spot cross-platform spreads, and backtest strategies — all via REST API or SQL, with no per-venue plumbing.

  • One unified schema across Polymarket and Kalshi
  • Spot cross-venue spreads in a single query
  • Backtest fills on tick-level order book history
Cross-venue prices Latest
Polymarket
0.67+2.0%
Kalshi
0.65-1.0%
Cross-venue spread0.020

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.

  • Full normalized history, ready for analysis
  • Resolution outcomes for accuracy studies
  • Export to CSV, JSON, or Parquet
Historical Accuracy2020 - 2026
JanDec

41M+

Markets indexed

$50B+

Volume tracked

5 yrs

Data coverage

Backtest on the real order book

Replay the tick-level historical order book at 1ms for realistic fills, slippage, and microstructure features — the history real-time-only feeds can't keep.

  • Full bid/ask depth at 1ms resolution
  • Model realistic fills and slippage
  • Polymarket and Kalshi order book history
Order book depth2026-05-31 14:00:00.249
0.185405
0.18410,448
0.1832,080
spread0.001
0.1822,081
0.1812,693
0.18011,625
Explore order book data →

Ship apps, bots, and dashboards

Power live dashboards, trading bots, and research tools on one unified API and SQL layer — clean, consistent data across every venue, with no per-platform glue.

  • One REST API and SQL layer across every venue
  • Markets, trades, and resolutions for your UI
  • Parquet exports for heavy offline jobs
JavaScript
// Fetch prediction markets
const res = await fetch('https://api.probalytics.io/api/v1/markets', {
  headers: { 'Authorization': 'Bearer api_xxx:sk_xxx' }
})
const { data: markets } = await res.json()

// Fetch trades for a market
const trades = await fetch(
  'https://api.probalytics.io/api/v1/fills?market_id=...',
  { headers: { 'Authorization': 'Bearer api_xxx:sk_xxx' } }
)

Who it's for

Built for traders, researchers, and builders

Traders

Backtest with realistic fills on 1ms order book history, and trade cross-venue spreads.

For traders

Researchers

Analyze complete, normalized Polymarket and Kalshi history in SQL — no pipelines to wrangle.

For researchers

Builders

Ship apps, bots, and dashboards on one unified REST API and SQL layer.

For builders

Ready to build?

Start building with unified prediction market data today.

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