Concepts

Streaming & Reliability

Built for speed and reliability from day one. Heisenberg handles the infrastructure complexity so your integrations stay fast, fresh, and always-on.

Performance

<300ms
API Latency

Median response time across all endpoints, measured at the edge.

Seconds
Data Freshness

Most data available within seconds of the source event. Seconds-fresh by default.

99.9%
Uptime Target

Redundant infrastructure with automatic failover and 24/7 data agent monitoring.

Data Freshness by Type

Data TypeFreshnessSource
Trades & PricesWithin secondsPolymarket, Kalshi
Orderbook SnapshotsWithin secondsPolymarket
Market MetadataWithin secondsPolymarket, Kalshi
Social MentionsWithin secondsX/Twitter, Reddit
Candlesticks (OHLCV)Per-candle closeComputed
H-Score & Wallet ProfilesUpdated every few hoursComputed
Market 360 ScoresUpdated every few hoursComputed

Rate Limit Resilience

You never interact with source platform APIs directly. Heisenberg maintains persistent connections to all data sources, handles rate limits, retries, and reconnections behind the scenes, and serves fresh data through its own endpoint.

Without Heisenberg

  • ×Manage API keys per platform
  • ×Handle rate limits and retries
  • ×Normalize different data formats
  • ×Maintain WebSocket connections
  • ×Monitor for API changes and outages

With Heisenberg

  • One API key, one endpoint
  • No rate limit concerns
  • Consistent JSON format across platforms
  • Seconds-fresh, always-on data
  • Sub-300ms response times

MCP Streaming

The Claude MCP integration uses Server-Sent Events (SSE) for live streaming. Claude can query prediction market data mid-conversation and receive structured results with sub-second latency — no polling, no delays, no stale context.

Infrastructure

Heisenberg runs on redundant, globally distributed infrastructure with automatic failover. Data agents are monitored around the clock with alerting on staleness thresholds. Every response includes a request_id for end-to-end traceability.