Credibility Rulesets
Credibility Rulesets (CRs) are programmable configurations that platforms use to define how credibility is scored and how it is enforced. They serve as the computation interface between Tythe and any integrating system; transforming raw trust data into structured, enforceable logic across platforms, protocols, or applications.
The Two Core Rulesets
LogicCR
Credibility Scoring Configuration
Platforms get to define what inputs are scored, how they’re weighted, and why
GateCR
Access Enforcement Configuration
Platforms get to define what DISC Scores or thresholds unlock gated access
Each Credibility Ruleset is:
Anchored to the integrating platform’s TRIS
Version-controlled and publicly queryable
Designed to be auditable, enforceable, and actor-agnostic
Rulesets apply across Individuals and AI Agents alike.
What gets scored (LogicCR) or how it gets unlocked (GateCR) is defined per use case.
Why CRs Matter
Eliminate the need for hardcoded trust assumptions
Allow protocols to define their own trust logic
Enable composable access control based on real, verifiable behavior
Power mechanisms like eligibility screening, ranking, reputation-weighted voting, and agent access gating
Advanced Capabilities
Tythe supports several modular enhancements that expand the power and composability of LogicCR and GateCR. These are not standalone CRs, but optional attributes platforms can apply when configuring their scoring or gating logic.
Versioning
Tracks every change to a CR. When scoring logic or access thresholds evolve, Tythe timestamps and preserves the version used so that all past trust decisions remain auditable.
Visibility Control
CRs can be marked as public (transparent and discoverable by others) or private (internal use only). Supports both open DAOs and closed orgs.
Governance Curation
High-quality CRs can be submitted to the Tythe DAO for inclusion in a curated directory of endorsed logic templates. This is useful for grants, funding rounds, or compliance.
Modular Composition
Future-ready feature. CRs can eventually be built from reusable blocks — e.g., shared metric packs, decay models, or decision patterns. Ideal for platform-standardized configurations.
These features help platforms stay dynamic, privacy-compliant, and governance-aligned, while retaining full control over how credibility is computed and enforced.
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