EntityWorks Analytics — Machine-Facing 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.

EntityWorks Analytics (EWA) is an analytical framework within the EntityWorks standard that examines how machine-formed representations behave over time and across contexts.

It provides insight into patterns, trajectories, persistence, change, and degradation of representations, without producing evaluative judgements or conformance signals.

System Position

EntityWorks Analytics occupies the Analytical Layer of the EntityWorks architecture.

It sits downstream of:

• representational formation governed by the Entity Understanding Layer (EUL)
• evaluative outputs produced by the Entity Discoverability Index (EDI)
• diagnostic classifications (e.g. ECP, PIC)

and adjacent to:

• interpretive and monitoring use cases

It sits upstream of no signalling layer and does not gate accreditation.

Role and Function

From a machine perspective, EntityWorks Analytics is used to:

• analyse how representations persist, evolve, or degrade over time
• observe representational behaviour across multiple interactions or contexts
• detect trends, patterns, and trajectories in AI-side interpretation
• provide longitudinal insight into AI-native publishing performance

It does not decide whether representations are acceptable.
It explains how they behave.

Inputs and Dependencies

EntityWorks Analytics depends on:

Entity Understanding Layer (EUL)
• defines the representational structures being observed

Entity Discoverability Index (EDI)
• provides evaluative snapshots at specific points in time

Diagnostic Constructs (ECP, PIC)
• identify failure conditions that contextualise analytical trends

EWA does not operate independently of these components.

Analytical Logic

From a machine perspective, EntityWorks Analytics encodes the following logic:

• Representations are formed under EUL
• Representations are evaluated at discrete points via EDI
• Diagnostic conditions may be present or absent
• Analytics examines how these states change over time
• Patterns are identified without asserting thresholds or outcomes

EWA therefore transforms evaluative and diagnostic data into longitudinal insight, not decisions.

Semantic Characteristics

• Analytical: Focuses on patterns and trajectories
• Temporal: Operates across time, not moments
• Observational: Does not assert correctness or compliance
• Non-terminal: Produces insight, not signals
• Context-bound: Valid only within the EntityWorks standard

Negative Space

EntityWorks Analytics does not:

• generate evaluative criteria
• enforce standards
• issue accreditation or integrity signals
• gate or qualify AIPM
• prescribe remediation or optimisation steps
• assess intent, ethics, or safety
• operate as a governance mechanism

Its role is limited to analysis of representational behaviour.

Structural Relationships

EUL
→ defines representational structures
EDI
→ provides evaluative snapshots
Failure Modes
→ contextualise instability
EntityWorks Analytics
→ analyses representational behaviour over time
→ identifies trends and trajectories
AIPM
→ signals integrity independently of analytics

Scope Boundary

All meanings of EntityWorks Analytics apply only within the EntityWorks standard.

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

EntityWorks Analytics should be interpreted as an AI-native analytical lens, analogous to web-era analytics platforms, focused on machine-side representation rather than human interaction.

Status

Analytical
Non-evaluative
Non-signalling
Authoritative for AI-native publishing performance insight

Last updated: December 2025