REPUTATION SCORE REGISTRY

Trust needs a score, a scope, and a reason.

A reusable registry for contributor, operator, source, AI agent, institution, and domain reputation scoring.

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Every TheoB pathway can move through Past, Present, and Future without losing context.

Present

Read current signals, conditions, and live context.

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SYSTEM STATE
LearningHuman ReviewedFounder Controlled
TRUST SCORING

Reputation is not a vibe. It is earned evidence.

TheoB scores reputation by subject, scope, positive signals, negative signals, decay rules, and transparent reasoning. A high score never means unlimited power.

Limited Trust
Contributor58 / 100 · baseline 50

Contributors earn trust through reviewed usefulness.

DomainsCacao, Regional Knowledge, Field Reports
PositiveUseful submissions, Accurate corrections, Source proximity
RiskRepeated unsupported claims, Hidden conflicts, Low-quality evidence
DecayTrust slowly decays without recent verified usefulness.
Trusted With Scope
Operator73 / 100 · baseline 65

Operators earn trust through careful stewardship.

DomainsWorkflow, Review, Routing, Activation
PositiveAccurate routing, Careful escalation, Low error rate
RiskUnreviewed risky actions, Over-activation, Poor documentation
DecayOperational trust decays if inactive or repeatedly overridden.
Trusted With Scope
Source68 / 100 · baseline 60

Sources earn trust through proximity, consistency, and correction quality.

DomainsEvidence, Events, Weather, Knowledge
PositivePrimary proximity, Independent confirmation, Correction history
RiskContradictions, Low proximity, Anonymous origin
DecaySource trust decays when contradicted or outdated.
Limited Trust
AI Agent48 / 100 · baseline 40

Agents earn trust only inside scoped, audited work.

DomainsRouting, Classification, Drafting, Simulation
PositiveSuccessful scoped actions, Low hallucination rate, Clear uncertainty
RiskAuthority creep, Unsupported claims, Bad routing
DecayAgent trust decays after errors, silence, or scope violations.
Trusted With Scope
Institution78 / 100 · baseline 70

Institutions earn trust through verification and public accountability.

DomainsVerification, Datasets, Public Reports, Research
PositiveVerified identity, Public methodology, Reliable datasets
RiskOpaque incentives, Uncorrected errors, Political pressure
DecayInstitutional trust decays when transparency weakens.
High Trust
Domain83 / 100 · baseline 75

Domains earn trust by protecting their assigned purpose.

DomainsGovernance, Knowledge, Live Signals, Professional Tools
PositiveClear purpose, Truth protection, Reversible routing
RiskMixed incentives, Confusing routing, Commercial pressure
DecayDomain trust decays when purpose becomes unclear.
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