>_ Kiyotaka vs Probalytics
Kiyotaka and Probalytics, side-by-side. Compare the facts below, then pick the one that fits your workflow.
Kiyotaka vs Probalytics: key differences
- Kiyotaka covers Crypto; Probalytics covers Prediction Markets.
- Probalytics lists Hedge Fund users; Kiyotaka does not.
- Kiyotaka is tagged for day trading, technical analysis.
- Probalytics is tagged for event-driven / special situations.
about Kiyotaka
kiyotaka provides a unified rest and websocket api for crypto market data across 20+ exchanges (binance, bybit, okx, hyperliquid, coinbase, cme, etc.) and polymarket prediction markets. all data is normalized into a single schema including ohlcv, orderbook depth, liquidations, time price opportunity, and trader analytics. also offers a charting platform with order flow visualization and kscript, a scripting language for custom trading logic.
about Probalytics
probalytics stores full-depth orderbook snapshots for polymarket (since nov 2025) and kalshi (since may 2026), timestamped to the millisecond and captured on every change. users access normalized prediction market data via clickhouse sql queries, rest api, or parquet exports. markets indexed back to oct 2020, fills to jan 2022.
See full data, pricing and alternatives on the Kiyotaka profile page, or the Probalytics profile page.