Scoring System
Our overall scoring system is designed to give a comprehensive, yet understandable insight into the safety of tokens across blockchains. In the following pages, we'll give you an insight into how the score is comprised, how it adapts, and what the different scores mean. The overall score is the most important score on the rug.ai interface, giving you a strong insight into whether a contract is worth interacting with, or has meaningful vulnerabilities. This score consists of 4 main constituents:
Supply
This score evaluates properties of the contract which come from simulations such as: ownership properties, open source code, whether the token has mint functionality and other factors which comprise a token's supply-related attributes.
Transferability
This score evaluates the token's fungibility, assessing whether tokens are honeypot contracts, have high taxes or have malicious balance-changing functionality.
Liquidity
This score evaluates the total value of the liquidity, including locked and burned tokens. And crucially, it takes into account the beneficial owners of tokens through advanced clustering mechanics. Crucially this score normalises for the age of the token.
Audit
Our Auditing function applies our cognitive framework and machine learning methodology to provide a holistic review of the contract of the token, assessing all its various features & functions in order to provide users with a comprehensive audit of the token and its security. In the following pages, we'll dive into what these scores mean, and how they're calculated.
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