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The problem
  • Data fragmented across Polymarket, Kalshi, and social platforms.
  • Each platform has its own API, auth, rate limits, and format.
  • No computed analytics — just raw data you process yourself.
  • Building takes weeks of integration work per platform.
With Falcon
  • One endpoint, all platforms, unified format
  • Sub-300ms latency, seconds-fresh data
  • Proprietary analytics: F-Score, Wallet 360, Market 360
  • Start building in minutes, not weeks

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Architecture

Step 1
Ingest

Autonomous data agents continuously collect from Polymarket, Kalshi, social platforms, and on-chain sources via WebSocket and polling connections.

Step 2
Normalize

Raw data is cleaned, deduplicated, and transformed into a unified schema. Different platform formats become one consistent structure.

Step 3
Enrich

Data agents compute proprietary metrics — F-Scores, wallet profiles, market quality assessments, anomaly detection — on every update cycle.

Step 4
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

Falcon 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.