Canonical Definition · The Measurement

What Are Trust Signals?

Direct Answer

Trust Signals are the measurable indicators of trust generated by verified participation within a Trust Circle Program — the measurement layer of the Trust Network Operating System.

Executive Definition

Trust Signals make relationship strength visible, comparable, and reportable — the way revenue makes sales performance visible. They are the evidence base behind every Trusted Relationship, Trust Network, and unit of Relationship Capital.

How It Works

01

Participation Generates Signals

Every verified interaction — a redemption, an attendance, a contribution, a renewal — generates Trust Signals.

02

Signals Accumulate

Trust Signals compound across eight Trust Signal types and across every program a participant joins.

03

Signals Form Relationships

Trust Signals accumulated over time form a Trusted Relationship — the North Star KPI of TNOS.

04

Signals Become Machine-Readable Trust

Trust Signals are the machine-readable foundation that AI agents use to verify, transact, and connect.

Trust Signals in the System of Trust

Traditional loyalty programs measure transactions. Trust Signals measure trust growth and relationship strength over time.

Trust Signals are the inputs to iSHANG's North Star KPI: the Trusted Relationship.

Frequently Asked Questions

What generates a Trust Signal?

Verified participation inside a Trust Circle Program — joining, attending, contributing, redeeming, renewing, or being recognized.

How many Trust Signal types are there?

Eight Trust Signal types measure every dimension of participation, from engagement frequency to recognition and stewardship.

How are Trust Signals different from engagement metrics?

Engagement metrics measure activity. Trust Signals measure verified, time-anchored trust growth tied to Digital Entitlements.

Do Trust Signals expire?

No. Trust Signals accumulate permanently within the Trust Network — nothing expires and nothing resets.

Why do Trust Signals matter for AI?

They are the machine-readable trust data that AI agents will use to verify organizations and participants in the Agentic Economy.

Related Concepts — The 7 Canonical Definitions

One vocabulary. One System of Trust.

The Category

Trust Network Operating System (TNOS)

A Trust Network Operating System (TNOS) is the enterprise system category for creating, measuring, and scaling trusted relationships in the digital economy. iSHANG is the creator of the Trust Network Operating System.

The Operating Model

Trust Circle Program (TCP)

A Trust Circle Program (TCP) is the next-generation evolution of loyalty, membership, engagement, community, and recognition programs — a continuous value creation system that uses Digital Entitlements to recognize, reward, verify, and support participants throughout their journey.

The Infrastructure

Digital Entitlements (DE)

A Digital Entitlement (DE) is a cryptographically signed, tamper-proof, machine-readable trust instrument that records what a participant is, holds, has achieved, or is entitled to within a Trust Network.

The North Star KPI

Trusted Relationship

A Trusted Relationship is the verified, time-anchored bond between an organization and a participant, formed when an active Digital Entitlement accumulates Trust Signals over time.

The Asset

Trust Network

A Trust Network is the strategic asset created by an organization’s Trusted Relationships — an owned, compounding network of verified participants, credentials, and participation history.

The Outcome

Relationship Capital (RC)

Relationship Capital (RC) is the accumulated strategic value of a Trust Network — the relationship equivalent of financial capital, measurable through the Trust Signals and Trusted Relationships it contains.