Assymetrix
Cross-venue intelligence infrastructure for prediction markets: one API, every major venue.
Overview
Assymetrix is the intelligence layer for prediction markets: cross-venue data, analytics, and an API for Polymarket, Kalshi, Limitless, and every major venue in one normalized platform. Where single-venue APIs return raw prices and orderbooks, Assymetrix adds rule-adjusted spread analysis, resolution-risk scoring, smart money attribution across venues, and cross-venue event matching on top of the underlying data.
The platform indexes over 2 billion on-chain events with continuous coverage since 2020, delivered through REST and WebSocket APIs with official Python and TypeScript SDKs. Historical data is available as tick-level trades, L2 orderbook snapshots at any timestamp, and full resolution audit trails including UMA oracle disputes.
The Synthesis Engine surfaces six real-time cross-venue intelligence signals, including the Rule Divergence Matrix, which decomposes price gaps between venues into their structural components so traders can distinguish genuine information asymmetry from resolution-rule differences. A free tier provides 1,000 requests per day across every venue with no credit card required.
Assymetrix was founded by Dean Karakitsos, previously founder of Bitquery, and is used by trading desks, systematic quants, hedge funds, and research teams for cross-venue analytics, backtesting, and event-driven strategy.
The Problem
Prediction market data is fragmented across venues, each with its own API, schema, and resolution rules, so teams spend more time normalizing raw prices and orderbooks than analyzing them.
The Solution
Key Features
One Normalized API
Query Polymarket, Kalshi, Limitless, and every major venue through a single normalized REST and WebSocket API.
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Resources
Assymetrix ships REST and WebSocket APIs with official Python and TypeScript SDKs, historical tick and orderbook data, resolution audit trails, and a free tier of 1,000 requests per day across every venue.
