LogicCR

LogicCR (Logic Credibility Ruleset) enables organizational platforms to define how user behavior — whether from Individuals and/or AI Agents — is scored by Tythe’s DISC Engine.

Rather than relying on fixed rulesets or opaque algorithms, LogicCR gives each integrating protocol the ability to declare what matters, how much it matters, and how it should be measured.

This makes trust programmable, composable, and enforcement-ready.

Criticality Weights

Every input mapped via LogicCR must be tagged with a Criticality Level, which determines how much TCT is issued relative to its impact.

Level	Weight	Description
Minimal	0.01	Passive or background signal (e.g., profile completion)
Low	0.03	Low-friction signal (e.g., post interaction, module attendance)
Moderate	0.07	Meaningful participation (e.g., DAO vote, peer review)
High	0.10	Deliberate action with reputational significance (e.g., LP staking)
Critical	0.14	Defining or trust-sensitive events (e.g., loan repayment)

Total weights must fall between 0.95–1.05 to preserve system-wide interpretability and fairness.

Supported Metric Categories

Metric	Description
Financial	Lending, payments, capital flow, staking
Creative	Code contributions, content authorship, original creations
Educational	Learning activity, course completion, doc authorship
Behavioral	Peer reviews, governance participation, consistency
Social	Follower quality, attestation, identity linking
Security	Identity proof, login consistency, multisig usage
Compliance	Jurisdictional checks, KYC, policy compliance

These apply to both Individuals and AI Agents.

Example LogicCR for Individuals (by a Lending Protocol):

Metric Category	Metric ID	Criticality	Weight
Financial	financial_loan_repayment_consistency	Critical	0.14
Financial	financial_liquidity_provision_duration	High	0.10
Financial	financial_txn_risk_profile	High	0.10
Educational	educational_protocol_course_completion	Low	0.03
Behavioral	behavioral_vote_participation	Moderate	0.07
Behavioral	behavioral_restaking_commitment	Moderate	0.07
Security	security_wallet_age	High	0.10
Security	security_multisig_participation	High	0.10
Security	security_device_consistency	Low	0.03
Compliance	compliance_kyc_verified	Critical	0.14
Compliance	compliance_jurisdictional_eligibility	High	0.10
	Total Weight		0.98

Note: Platform configurations must remain between 0.95–1.05 total weight.

Example LogicCR for AI Agents (by a Moderation Protocol)

Metric Category	Metric ID	Criticality	Weight
Behavioral	behavioral_task_completion_accuracy	High	0.20
Behavioral	behavioral_participation_delegate	Moderate	0.10
Social	social_content_moderation_actions	High	0.20
Social	social_network_integrity_support	Moderate	0.10
Security	security_behavioral_consistency	Moderate	0.10
Security	security_threat_detection_accuracy	High	0.20
Compliance	compliance_scope_adherence	High	0.10
	Total Weight		1.00

Note: Platform configurations must remain between 0.95–1.05 total weight.

Features of LogicCR

Feature	Description
Metric Selection	Choose any combination of DISC categories
Criticality Assignment	Map each metric to its platform-defined impact level
Versioning	Update logic over time (e.g., LogicCR.v1.0 → LogicCR.v1.1) with audit trails
Public or Private	Control visibility of your LogicCR (open vs. internal use)
Governance Endorsement	Submit to DirectoryCR for DAO-based endorsement of scoring model quality

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