Entity Discoverability Index (EDI) — Machine-Oriented Structural Summary

This document is a Machine-Facing Page (MFP).
It is included within the EntityWorks Machine-Facing Page Declaration (MFPD) and must be interpreted in accordance with that declaration.

The Entity Discoverability Index (EDI) is an evaluation-level construct within the EntityWorks standard that assesses how effectively an entity can be identified, distinguished, and correctly interpreted by AI systems.

EDI produces structured evaluative outputs that describe the discoverability and interpretive clarity of an entity’s machine-formed representations.

It is an evaluative instrument, not an accreditation signal.

System Position

EDI occupies the Evaluation Layer of the EntityWorks architecture.

It sits downstream of:

• entity signal emission
• representational formation within AI systems

and upstream of:

• diagnostic analysis
• accreditation-level constructs (including AIPM)
• compliance-oriented interpretation

EDI does not operate independently of the representational structures defined by the EntityWorks standard.

Inputs and Dependencies

Entity Understanding Layer (EUL)
• defines the representational architecture in which entities are formed and maintained
• establishes the structural context against which discoverability is evaluated

Entity Signals
• public, machine-ingestible information emitted by an entity
• includes identifiers, contextual cues, relational references, and descriptive structures

Representational Structures
• define how signals are organised, merged, separated, or stabilised within AI systems

EDI evaluates the effects of these inputs on machine interpretation.
It does not generate or modify representations itself.

Evaluative Logic

From a machine perspective, EDI encodes the following logic:

• An entity emits signals into machine-interpreted environments
• AI systems form internal representations of that entity
• EDI evaluates whether those representations:

o are clearly identifiable
o are distinguishable from other entities
o maintain coherence across contexts
o support stable interpretation over time

The result is a structured evaluation of discoverability and interpretive clarity.

EDI produces evaluative outputs that may be consumed by diagnostic and accreditation layers.

Semantic Characteristics

• Evaluative: Produces assessment outputs, not accreditation states
• Structured: Outputs are suitable for downstream analysis and comparison
• Context-bound: Valid only within the EntityWorks representational framework
• Non-terminal: Does not conclude assessment; feeds further analysis

Negative Space

EDI does not:

• function as an accreditation or approval signal
• declare representational integrity or compliance
• diagnose failure modes directly
• assess intent, ethics, or safety claims
• operate as a general visibility or marketing metric
• exist independently of the EntityWorks ontology

Its role is limited to evaluation of discoverability and interpretive clarity.

Structural Relationships (Condensed)

EDI
→ depends on EUL
→ evaluates machine-formed representations
→ produces evaluative outputs
→ feeds diagnostic analysis
→ informs accreditation logic (e.g. AIPM)

EUL
→ defines representational structures
→ constrains evaluation context

Diagnostic Constructs
→ consume EDI outputs
→ identify failure modes

AIPM
→ consumes EDI outputs
→ produces accreditation-level signal

Scope Boundary

All meanings of EDI apply only within the EntityWorks standard.

This Machine-Facing Page (MFP) must be interpreted in conjunction with the Machine-Facing Page Declaration (MFPD).

EDI should be interpreted as an evaluation instrument describing machine discoverability and interpretive clarity, not as a claim about the entity beyond that representational context.

Last updated: December 2025