Trust System

Build a comprehensive trust system framework that enables instant project verification, community-driven intelligence, and AI-powered risk detection within Web3 ecosystems.

Overview

The TRAST trust system is a comprehensive framework designed to establish and maintain trust within the platform. This document explains how the system works and its various components.

Core components

1. Trust score calculation

The trust score is calculated using:

Activity metrics

• Frequency of contributions

• Quality of analysis

• Community engagement

• Response time

• Data validation participation

• Profile accuracy rating

Verification factors

• Identity verification level

• Professional credentials

• Social media verification

• Track record

• Validation accuracy history

• Profile completeness

Community feedback

• Peer reviews

• Upvotes/downvotes

• Report history

• Dispute resolution

• Validation consensus rate

• Profile accuracy votes

2. Trust levels

Users progress through trust levels:

1. Novice (0-100)

   • Basic access

   • Limited features

   • Learning phase

   • Requires 5+ validations for contributions

   • Cannot validate critical data

   • Limited profile rating rights

2. Verified (101-500)

   • Enhanced access

   • More features

   • Increased visibility

   • Requires 3+ validations for contributions

   • Can validate basic data

   • Full profile rating rights

3. Trusted (501-1000)

   • Premium features

   • Higher rewards

   • Moderation privileges

   • Requires 1-2 validations for contributions

   • Can validate most data types

   • Profile rating impacts weighted higher

4. Expert (1001+)

   • Full access

   • Maximum rewards

   • Leadership roles

   • Auto-approved contributions with review

   • Can validate all data types

   • Profile rating impacts weighted highest

3. Trust mechanisms

The system employs various mechanisms:

Reputation building

• Quality contributions

• Consistent activity

• Positive feedback

• Successful predictions

• Accurate validations

• High profile accuracy rating

Trust maintenance

• Regular activity

• Maintaining standards

• Avoiding violations

• Continuous learning

• Active participation in validation

• Profile information updates

Recovery system

• Dispute resolution

• Appeal process

• Rehabilitation path

• Performance improvement

• Validation accuracy improvement

• Profile accuracy improvement

4. Validation system

The platform implements a robust validation process:

Contribution validation

• Trust level based requirements

• Multiple validator consensus

• Source verification depth

• Historical accuracy impact

• Time-sensitive validation

• Profile accuracy consideration

Validation rewards

• Base validation rewards

• Accuracy multipliers

• Speed bonuses

• Critical data premiums

• Consensus rewards

• Profile rating bonuses

Quality assurance

• Multi-stage verification

• Expert oversight

• Automated checks

• Pattern recognition

• Historical tracking

• Profile accuracy monitoring

5. Profile accuracy system

The platform includes a quick profile rating mechanism:

Rating process

• One-click accuracy rating (accurate/inaccurate)

• Anonymous voting

• Rate limiting to prevent abuse

• Trust level weighted impacts

• Regular recalculation

Impact factors

• Voter's trust level

• Rating consistency

• Profile completeness

• Historical accuracy

• Activity correlation

• Verification status

Profile score

• Accuracy percentage

• Rating volume

• Trust level impact

• Time decay factor

• Verification bonus

• Activity correlation

Implementation

Technical integration

The trust system integrates with:

1. Platform features

   • Content submission

   • Reward distribution

   • Access control

   • Governance

   • Validation workflow

   • Profile rating system

2. Security measures

   • Fraud prevention

   • Manipulation detection

   • Risk assessment

   • Quality control

   • Validation verification

   • Profile rating abuse prevention

Best practices

To maintain high trust:

1. For users

   • Regular contributions

   • Quality over quantity

   • Community engagement

   • Professional conduct

   • Active validation participation

   • Profile accuracy maintenance

2. For platform

   • Fair assessment

   • Transparent processes

   • Regular updates

   • Community feedback

   • Validation oversight

   • Profile rating monitoring

Next steps

• Review Platform Mechanics
• Explore Core Concepts
• Join the Community