Intelligence Layer Architecture

Clarityʼs intelligence layer can be understood as four interconnected components that evolve over time.

Market Data Layer

This layer captures live prices, liquidity conditions, historical resolution data, and cross-market relationships. It provides the quantitative backbone of the system.

Contextual Signal Layer

This layer incorporates non-price signals such as event timelines, narrative momentum, and relevant external developments. These signals provide qualitative context that pure price data cannot capture.

Inference Layer

The inference layer synthesizes market data and contextual signals into probabilistic assessments. It identifies potential mispricings, highlights uncertainty, and applies heuristics informed by comparable markets and historical outcomes.

Delivery Layer

Insights are delivered in a human-readable format optimized for speed and clarity. Outputs are intentionally concise and shareable, enabling discussion and second order analysis.

The architecture is modular by design, allowing improvements without disrupting the user experience