Concepts

Intelligence Outputs

Heisenberg doesn't just proxy raw data. It transforms market activity into actionable intelligence through proprietary scoring, profiling, and detection systems.

How it works: Raw data flows through multi-stage data agents that autonomously normalize, enrich, and score every wallet, market, and event across platforms — producing metrics you can't get from source APIs alone.

H-Score

Proprietary Trader Intelligence Score

The Heisenberg Score is a proprietary 0–100 rating that quantifies how skilled a wallet is at prediction market trading. It uses a multi-factor model specifically tuned for prediction market dynamics — separating consistently skilled traders from one-time winners.

Example H-Score Response
{
  "wallet": "0x1a2b...3c4d",
  "h_score": 87,
  "tier": "Elite",
  "trajectory": "rising"
}

Available via Heisenberg Leaderboard and Wallet 360.

Wallet 360

Comprehensive Wallet Intelligence Profile

A full 360-degree profile of any prediction market wallet with 60+ computed metrics. Think of it as a credit report for traders — covering performance, behavior, risk, and activity patterns.

Performance

Total PnL, ROI, win rate, average position size, largest win/loss, Sharpe-equivalent ratio

Risk Profile

Max drawdown, position concentration, loss streak patterns, leverage indicators

Behavioral Patterns

Trading frequency, time-of-day patterns, market preferences, contrarian vs. momentum tendencies

Activity Metrics

Active markets, trade count by period, first/last seen, dormancy indicators

Available via Wallet 360 endpoint.

Market 360

Market Quality & Health Assessment

Not all markets are created equal. Market 360 evaluates the health and tradability of individual prediction markets, helping you avoid illiquid or manipulated venues.

Liquidity Depth

Orderbook thickness and bid-ask spread analysis at multiple price levels.

Volume Dynamics

Trading volume trends, acceleration patterns, and organic vs. wash activity signals.

Whale Concentration

Distribution of holdings across wallets — how concentrated is the market?

Price Stability

Volatility metrics, mean reversion tendencies, and manipulation resistance indicators.

Available via Market 360 endpoint.

Price Jump Detection

Automated Anomaly & Momentum Detection

Continuous scanning of candlestick data across markets to detect statistically significant price movements as they happen. Configurable sensitivity for different trading strategies.

Resolution

Candle bucket size — 1m, 5m, 15m, 1h, 4h, 1d. Finer resolution catches faster moves.

Threshold

Minimum % change to qualify as a jump. Lower = more signals, higher = fewer but stronger.

Lookback

How far back to scan. 24h for recent activity, 168h for weekly patterns.

Example Detection
{
  "jump_time": "2026-04-06T02:00:00Z",
  "direction": "down",
  "change_pct": "-16.67",
  "price_before": "0.1800",
  "price_after": "0.1500",
  "volume": "7350.07",
  "trade_count": 28
}

Available via Price Jumps endpoint.

Social Pulse

Real-Time Social Intelligence

Monitors social platforms for prediction market-relevant discussions, filtering noise to surface signals that matter for market analysis and trading decisions.

Keyword Monitoring

Track specific topics, events, or market slugs across social platforms.

Trend Detection

Identify emerging narratives before they move markets.

Volume Spikes

Detect unusual surges in social activity around prediction market events.

Source Filtering

Focus on high-signal accounts and platforms relevant to your markets.

Available via Social Pulse endpoint.

How Data Agents Work

1

Ingest

Raw trades, orderbooks, market metadata, and social data flow in continuously from all connected platforms.

2

Normalize

Data is cleaned, deduplicated, and transformed into a unified schema across Polymarket, Kalshi, and social sources.

3

Enrich

Data agents autonomously compute derived metrics — H-Scores, wallet profiles, market quality, anomaly scores — on every update cycle.

4

Serve

Enriched data is served through the unified API with sub-second latency. Query any metric across any platform with a single call.