WEB3SCANNER
Methodology

How Web3Scanner scores token risk

1. Contract and tradability signals

We evaluate available contract risk signals such as honeypot behavior, sellability, proxy exposure, source visibility, tax behavior, and warning flags.

2. Market context

Scores also consider liquidity depth, volume, pair age, and general market activity. A token can be technically tradable but still dangerous because the market is too thin or unstable.

3. AI interpretation layer

AI does not replace raw signals. It translates them into a verdict, confidence note, strengths, warnings, and action-oriented wording that is easier to scan quickly.

4. Confidence and limits

Confidence changes with data completeness and chain coverage. Where a chain has partial coverage, Web3Scanner is designed to say so explicitly rather than pretending certainty.