AgentMastery Scoring Methodology

Version: 1.0
Last Updated: October 2025
Status: Active

Our Scoring System

Every AI tool in our directory receives a composite score (0-100) based on four equally weighted dimensions:

1. Value (0-100)

Weight: 25%

2. Quality (0-100)

Weight: 25%

3. Adoption (0-100)

Weight: 25%

4. User Experience (0-100)

Weight: 25%

Composite Score Formula

Composite Score = (Value × 0.25) + (Quality × 0.25) + (Adoption × 0.25) + (UX × 0.25)

Data Sources

  1. First-party testing: We create accounts and test core workflows
  2. User reviews: G2, Capterra, Product Hunt, Reddit
  3. Public data: GitHub stars, Twitter followers, job listings
  4. Vendor data: Pricing pages, documentation, changelogs
  5. Third-party benchmarks: Independent accuracy tests, uptime monitors

Scoring Frequency

Editorial Independence

Change Log

v1.0 (October 2025):

Questions?

Email: methodology@agentmastery.ai


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