Probalytics Probalytics
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Built for
performance

Multiple ways to access your data. Choose what fits your workflow — from real-time streams to direct SQL queries.

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Real-time Streaming · Coming Soon

Server-Sent Events

Subscribe to real-time updates via SSE. Prices, trades, orderbook changes, and market resolutions — streamed the instant they happen. No polling, no WebSocket complexity.

  • Sub-10ms latency from source to your application
  • Filter by platform, market, or event type
  • Automatic reconnection with event replay
GET /api/v1/stream?platforms=polymarket,kalshi
Event Stream Connected
priceBTC $200k0.240ms ago
tradeFed June Hold$1,24012ms ago
priceS&P 65000.4228ms ago
REST API

Simple, powerful API

RESTful endpoints for markets, trades, orderbooks, and historical data. Consistent response format across all platforms. Paginated, filterable, and fast.

  • Unified schema — same format across all platforms
  • Filter by platform, category, date range, and more
  • 3,000 requests per 10 seconds rate limit
GET/api/v1/markets
200 OK
{
  "data": [
    {
      "id": "poly_0x1234...",
      "platform": "polymarket",
      "title": "BTC above $100k?",
      "status": "active",
      "outcomes": ["Yes", "No"],
      "close_date": "2026-12-31"
    }
  ],
  "meta": { "total": 12847, "page": 1 }
}
Orderbook Data · New

Most granular orderbook data

200-500M orderbook updates per day at 1-millisecond resolution. 100x more granular than any competitor. Download as Parquet or query via SQL.

  • 200-500M updates/day — 100x more than competitors
  • 1ms LOCF interpolation — no gaps in your data
  • Polymarket coverage live, more platforms coming soon
Granularity Comparison
Probalytics200-500M / day
Competitors2-3M / day
Learn more about orderbook data →
Bulk Data Access · Coming Soon

Direct S3 access

For large-scale analysis and ML pipelines, access complete historical datasets directly from S3. Parquet files partitioned by date and platform for efficient queries.

  • Parquet format — works with Spark, DuckDB, Pandas
  • Weekly fills and monthly market exports
  • Direct S3 bucket access for automation
s3://probalytics-data/
markets/
trades/
trades/polymarket/2026/
2026-03-01.parquet
847 MB
2026-03-02.parquet
912 MB
2026-03-03.parquet
891 MB
SQL Access

Query with SQL

Connect directly to our ClickHouse cluster from your browser or any SQL client. Run complex analytical queries on billions of rows in milliseconds.

  • In-browser SQL console — no setup required
  • Connect via HTTPS or native ClickHouse protocol
  • Sub-second queries across all historical data
DBeaverDataGripMetabaseGrafana
SQL Console
ClickHouse 
SELECT
  market_id,
  platform,
  AVG(price) as avg_price,
  COUNT(*) as trade_count
FROM fills
WHERE timestamp > now() - INTERVAL 1 HOUR
GROUP BY market_id, platform
ORDER BY trade_count DESC
LIMIT 10
10 rows · 23ms Run Query

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