Technology Overview

Data Sources and Ingestion

Polarity integrates multiple data sources to construct a comprehensive view of prediction markets:

• Polymarket APIs for market metadata, prices, volumes, and resolution states

• On-chain data for timestamped market events and outcome finalization

• Historical snapshots to enable temporal and comparative analysis

All data ingestion is read-only. Polarity does not submit transactions, place orders, or modify market states.

Data Processing and Analytics Engine

Incoming data is normalized into standardized schemas to enable consistent analysis across markets and time horizons. The analytics engine performs:

• Time-series reconstruction of probability movements

• Liquidity and volume distribution analysis

• Volatility and momentum characterization

• Event-aligned market behavior analysis

Outputs are optimized for both visualization and downstream AI interpretation.

AI-Assisted Interpretation Layer

Polarity incorporates AI models exclusively as interpretive and summarization tools. These models operate on processed market data to generate:

• Structured natural-language summaries of observed changes

• Contextual explanations of market transitions

• Identification of anomalous or non-standard patterns

The AI layer does not generate predictions, recommendations, or forward-looking claims. Its outputs are descriptive, probabilistic, and intended to support human reasoning rather than replace it.

Infrastructure and Token Integration

Polarity utilizes Solana for identity, access coordination, and protocol-level signaling via the $POLAR utility token. Token interactions are limited to application-level functions such as feature gating and governance signaling. Core analytics remain accessible without requiring market participation