How Heisenberg Works
Heisenberg is an intelligence execution layer for prediction markets. It connects to live data sources, enriches everything through autonomous data agents, and serves it all through a single, sub-300ms API.
The Problem
- ×Data fragmented across Polymarket, Kalshi, social platforms
- ×Each platform has its own API, auth, rate limits, and format
- ×No computed analytics — just raw data you have to process yourself
- ×Building takes weeks of integration work per platform
With Heisenberg
- ✓One endpoint, all platforms, unified format
- ✓Sub-300ms latency, seconds-fresh data
- ✓Proprietary analytics: H-Score, Wallet 360, Market 360
- ✓Start building in minutes, not weeks
Architecture
Ingest
Autonomous data agents continuously collect from Polymarket, Kalshi, social platforms, and on-chain sources via WebSocket and polling connections.
Normalize
Raw data is cleaned, deduplicated, and transformed into a unified schema. Different platform formats become one consistent structure.
Enrich
Data agents compute proprietary metrics — H-Scores, wallet profiles, market quality assessments, anomaly detection — on every update cycle.
Serve
Enriched intelligence is served through the unified API with sub-300ms latency. Query any metric, any platform, with a single POST call.
Core Principle
Heisenberg is an execution layer, not a static data warehouse. Data agents connect to live sources continuously — so you always get the freshest results, enriched with proprietary intelligence, delivered in under 300 milliseconds.