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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:​

  • Metrics: Ongoing measurable activities (e.g., GitHub contributions, transactions)
  • Achievements: One-time accomplishments and permanent credentials (e.g., a hackathon win)
  • Affiliations: Memberships and group affiliations that can be lost or revoked (e.g., job or a DAO)
  • Accounts: Social profiles and other verifications (e.g., twitter, farcaster, github)

Scoring Tags​

  • We use a tag-based system that determines how data points are used in Scoring Systems:
    • Initial tags: human, builder, creator
    • Data points can have multiple tags
    • Scoring systems use tags to determine which data points to include