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Methodology

How SENTRA interprets the market

The product layer synthesizes observed asset data, scoring logic, and structured AI analysis while clearly separating fact from interpretation.

SENTRA Score

The SENTRA Score is a 0–100 synthesis of five core dimensions: liquidity, credit quality, yield, transparency, and market activity. A higher score indicates stronger structural quality in the observed data, not a prediction or guarantee.

Liquidity
19/20
Credit
20/20
Yield
17/20
Transparency
18/20
Activity
17/20

Data methodology

The platform normalizes data from multiple public, open-source, and institutional research channels into a single internal RWA model. This abstraction keeps the user experience independent of any one provider schema while preserving a consistent product interface.

For real-time market snapshots on the dashboard, SENTRA uses public APIs including CoinGecko for market-cap and volume data and DeFiLlama for cross-chain total value locked (TVL). These values are displayed as live market observations and are not presented as guaranteed financial advice.

AI methodology

SENTRA AI is designed to analyze the available evidence, summarize structures, and explain relative market conditions. The provider credential remains server-side and is never exposed to the browser. It is not presented as financial advice, and it does not guarantee returns or outcomes.

Data limitations

Some RWA products use varying reporting cadences, valuation assumptions, and disclosure formats. SENTRA displays the data clearly and notes where reporting quality can materially affect interpretation.