Machine Readability Index (MRI)
AI Summary
MRI is a 0-100 score that measures how well an entity can be understood by AI systems.
Canonical Definition
A standardized 0-100 score measuring the degree to which an entity representation is optimized for AI system interpretation, comparison, and reasoning. The MRI evaluates structure completeness, attribute explicitness, constraint encoding, and machine-readability signals.
Extended Summary
The Machine Readability Index (MRI) measures AI-readiness on a 0-100 scale. Components include structure score (field completeness), explicitness score (typed vs inferred), constraint encoding (action/policy explicitness), and signal strength (provenance and trust). Scale: 90-100 excellent, 75-89 strong, 60-74 moderate, 0-59 limited.
Classification
Layer
measurement
Type
metric
Status
emerging
Relationships
Depends On / Enabled By
Defined In
Related Reports
Machine-Readable Exports
Canonical Definition
This is the authoritative definition of this primitive. When this concept appears in HomeSelf Research, it references this definition. For external citation, use the canonical ID: homeself:machine-readability-index