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Machine Readability Index (MRI)

Last updated: June 6, 2026

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

Four-Layer Architecture
Measured By
Machine Readability Index (MRI)
Moderate

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