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A reputation system with context

The Vouch Score summarizes multiple signals into a simple 0–100 view. It is a directional tool for exploring a creator’s public track record—not a substitute for reviewing the underlying activity.

01

Signal categories

The framework groups public creator activity into four broad dimensions.

  • Creator history: consistency and outcomes across launches
  • Token performance: sustained activity, trading volume, and observable health
  • Longevity: whether projects and communities remain active over time
  • Community trust: positive behavior balanced against rug-like patterns
02

Positive and negative evidence

Scores can rise with repeat successful launches, durable activity, and positive trust signals. Short-lived activity is weighted less than sustained outcomes; credible rug-like behavior can materially lower a score.

03

Normalization and interpretation

Raw observations are interpreted in context and mapped to a bounded score. A score is comparative and descriptive: it does not establish intent, predict returns, or certify a token.

04

Data provenance and refresh

Launch and token activity is associated with public Base data. The live product should identify source coverage and indexing time so users can distinguish measured onchain activity from derived or community context. This prototype currently uses sample data.

Methodology note: this page describes the intended scoring framework. The current project is a UI prototype with illustrative creator, volume, success-rate, and token records; it does not yet compute scores from a live indexer.

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