Tythe Network
The Trust Economy is built on interaction — between verified identities, validated data, and credibility-driven computation. Tythe unites these elements into a closed-loop system where every actor contributes to and benefits from the verifiable flow of trust.
Tythe functions as a coordination layer connecting four active participants:
Individuals generate monetizable trust data through verified behavior, actions, credentials, and disclosures bound to their TRIS IDs.
Developers build integrations and train better AI models/agents, automate validation logic, and deploy credibility-aware applications through Tythe’s data and infrastructure.
Organizations act as validators, risk-assessors, and policy enforcers, confirming authenticity, enforcing compliance, and anchoring institutional legitimacy.
AI Agents operate under registered accountability, producing measurable outputs that feed back into their DISC Scores and training.
These participants continuously interact through Tythe’s layers — identity, memory, data, and application — to form a feedback cycle where credibility is earned, validated, enforced and monetized, with every action producing verifiable receipts for immutable maintenance of records. Verified behavior leads to higher DISC Scores and healthier metric factors, while validation activity strengthens the network’s reliability and fairness.
The result is a self-sustaining, auditable trust economy: a system where authenticity is computable, compliance is programmable, and collaboration is permissioned by verified credibility.
Credibility Metrics
The DISC Score — Tythe’s core credibility measure — is derived from five key metrics that quantify trust across every dimension of participation in the network.
Each metric represents a distinct aspect of integrity, accountability, and reliability within connected economies of the world.
Quantifies adherence to standards, jurisdictional regulations, laws, ethical governance parameters, and ecosystem-specific terms and policies.
It serves organizations and regulated actors who rely on transparent, auditable conformity with policy and jurisdictional mandates.
Measured factors include verification tier (KYH/KYC ID only/KYC ID + AML — for adherence to audit requirements and participation in verified regulatory frameworks).
The Compliance metric transforms regulatory conformity into cryptographic assurance, ensuring accountability without sacrificing privacy.
Evaluates the credibility of financial behavior, responsibility, and transparency.
It serves individuals, organizations, and AI agents engaged in DeFi, digital asset management (RWAs and Stablecoins), payments, capital management and money movement (CeFi and TradFi), lending and insurance ecosystems, and risk-modeling firms.
Measured factors include repayment integrity, transaction validation, fund custody, asset management, liquidity provisioning, and overall performance within financial protocols.
The Finance metric ensures that financial trustworthiness becomes a programmable and transferable property — enabling integrity-compliant, risk-aware capital flows using data that delivers more than just creditworthiness.
Evaluates decision integrity, participation legitimacy, and procedural fairness within collective systems.
It serves governments, institutions, DAOs, and protocols implementing community-first governance structures.
Measured factors include vote participation accuracy, delegation history, proposal engagement, and conflict-of-interest transparency.
Governance ensures that power in digital systems is exercised by those with demonstrable trust capital.
Assesses the ability of an actor — human, organizational, or artificial — to maintain operational, technical, and procedural security.
It serves validators, developers, auditors, bandwidth or infrastructure providers, and other security operators responsible for safeguarding systems and data.
Measured factors include code reliability, uptime, attack resilience, incident response, data accuracy, and system integrity.
Security ensures that the network’s participants are verifiably safe, forming the protective core of the trust economy.
Measures credibility in environmental, infrastructural, and systemic green-work responsibility.
It serves blockchains, infrastructure operators, energy producers, data networks, and AI or hardware systems operating as environmental-impact aware organizations or directly contributing to ecological trust.
Measured factors include energy transparency, renewable production and participation, infrastructure uptime, and sustainable data operations.
The Sustainability metric extends credibility beyond human and financial systems, aligning digital trust with planetary and infrastructural reliability.
These five metrics create the foundation of Tythe’s verifiable credibility model — a unified framework where every participant’s reliability is contextually measured, cryptographically proven, and continuously reinforced through network interaction. They ensure that trust in Tythe is not abstract belief, but quantified integrity — composable, auditable, and interoperable across all high-impact, measureable domains of the digital economy.
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