Data Point

A Data Point is specific type of reputation data about a given user.

Key Attributes:

• A Data Point provides a verified fact about a user's reputation at a given point in time.

• A Data Point is always associated with a Data Issuer.

• A Data Issuer can have multiple Data Points, but a Data Point only has one Data Issuer.

• A Data Point only contains objective and verifiable data.

• A Data Point doesn't store any scoring information; they can be use in multiple scoring systems.

• Example:

  • Data Issuer: GitHub

  • Data Point: Stars

  • Value: [number of stars]

Variable and Immutable Data Points:

• Immutable data points are simpler versions of variable data points.

• Variable Data Points contain a value that can change over time.

  • Example: GitHub Stars, ETH Balance on Base

• Immutable Data Points are only set once, and never recalculated again.

  • Example: Base Learn, KYC, First Transaction on Base

Categories of Data Points:

• Identity: Validates the user as a real human (e.g., WorldID).

• Activity: Demonstrates participation, engagement and consistency (e.g., number of transactions).

• Credibility: General indicators of trust, influence, and reliability (e.g., social media followers).

• Skills: Evidence of domain-specific expertise.

  • Developer skills (primarily used in Builder Score)
  • Creator skills (primarily used in Creator Score)
  • Trading skills (primarily used in Degen Score)