TRAST Documentation
TRAST.spaceConnect
  • Introduction
    • What is TRAST?
    • TRAST Litepaper
    • Trust System
    • Mechanics
    • Core Concepts
  • Getting Started
    • Quick Start Guide
    • Beta Information
    • Understanding Trust Scores
  • Platform Features
    • Platform Overview
    • Core Infrastructure
      • Vote Staking
      • Trust & Reviews
      • TRAST Premium
      • Verification
      • Feature Specifications
      • Tokenomics Analysis (Planned)
    • PayAI & Marketplace
      • PayAI System
      • TRAST Marketplace
      • TRAST.fun (Planned)
      • Advanced Platform Features
      • Bridge to XRPL
    • User Interaction
      • Inline Search
      • Live Feed
      • Commenting System
      • Identity Integration
      • Smart Onboarding
      • Monetization Options
    • Chat System
      • Chat Rooms
      • Specialized Rooms
      • Two-Tier Rooms
    • Platform Analytics
  • Technical Documentation
    • Technical Overview
    • Core Architecture
      • Design & Implementation
      • Security & Trust
      • Infrastructure Costs
    • AI Systems
      • Bot System
      • AI Chat Guide
      • AI Scam Radar
      • AI Review Copilot & TrustDigest
      • Content Agent
    • Advanced Features
      • Bot Outputs
      • Customization & Integrations
  • Community
    • Guidelines
      • Communication Style
      • Communication Playbook
      • Community Features
    • Engagement & Rewards
      • Community Incentives
      • Premium Features (Gem Hunters)
      • TRAST Reflections (Blog)
  • Resources
    • Use Cases
      • Overview
      • Detailed Examples
      • Real World Scenarios
    • Support & Contact
      • Contact Information & Company Details
      • Support Center
  • Token
    • Economics
      • Financial Model
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On this page
  • From Legacy Limitations to a New Vision
  • Core Innovations in v0.1-beta
  • 1. Unified Entity Model & Data Management
  • 2. AI-Powered Features & Enhanced UX
  • 3. Identity Integration & Verification
  • 4. Platform-Wide Commenting System
  • 5. Superior Performance & Scalability
  • The Significance of v0.1-beta
  • What's Next?
  1. Getting Started

Beta Information

Discover TRAST v0.1-beta, the re-engineered Web3 trust layer. Learn about the shift from legacy, the unified entity model, AI-powered features, and the foundation for a scalable, community-driven futu

TRAST v0.1-beta marks a significant evolution from the initial Telegram bot. This release isn't just an update; it's a complete architectural overhaul designed to address the limitations of the legacy system and establish a robust foundation for the future of Web3 trust verification.

From Legacy Limitations to a New Vision

The original TRAST bot, while popular, faced challenges:

  • Rigid Structure: Primarily designed for projects, struggled with diverse Web3 entities (tokens, influencers, DAOs, etc.).

  • Manual Processes: Slow admin verification created bottlenecks.

  • Basic Trust Metrics: Simple rating averages were vulnerable to manipulation.

  • Scalability Issues: Performance degraded under load; adding features was slow.

TRAST v0.1-beta addresses these head-on with a new vision: A flexible, scalable, AI-powered, and community-driven platform for comprehensive Web3 intelligence.

Core Innovations in v0.1-beta

1. Unified Entity Model & Data Management

  • Single entities Table: Handles all Web3 entity types (projects, tokens, profiles, wallets, etc.) flexibly.

  • Comprehensive Alias Management: Links multiple identifiers (handles, addresses, domains) to one entity.

  • Graph-Based Relationships: Maps connections between entities for deeper insights.

  • Enhanced Auditability: Transparent tracking of all interactions and claims.

2. AI-Powered Features & Enhanced UX

  • Real-time Inline Search: Instant results with live type-ahead suggestions in any Telegram chat.

  • Review Copilot: AI assistance for generating balanced review drafts based on star ratings.

  • Scam Radar: Proactive AI monitoring of social signals, transactions, and behavior to flag suspicious entities.

  • Dynamic Trust Scoring: Reputation-weighted scores, time-based decay, and AI anomaly detection for more reliable trust metrics.

3. Identity Integration & Verification

  • Unified Reputation Profile: Consolidate multiple Web3 identities (Telegram, wallets, GitHub, etc.) into one profile.

  • Instant Entity Verification: Entities can self-verify instantly by adding @TrastDotBot as a channel admin.

4. Platform-Wide Commenting System

  • Contextual Discussions: Add comments to projects and reviews, providing depth beyond ratings.

  • Accessible Anywhere: Comments viewable via inline search across Telegram.

  • Real-Time Feedback: Faster identification of insights and red flags.

5. Superior Performance & Scalability

  • Fully Asynchronous Architecture: Built for high responsiveness and reliability under load (FastAPI, SQLAlchemy async).

  • Optimized Infrastructure: Runs on Supabase (PostgreSQL) and Heroku with auto-scaling.

  • Advanced Caching: Reduces database load and speeds up data retrieval.

  • Modular Design: Enables faster development and easier integration of new features.

The Significance of v0.1-beta

This release represents a fundamental rebuild, moving TRAST from a simple rating tool to a foundational Web3 trust layer. It provides:

  • For Users: A more intuitive, reliable, and insightful experience with better scam protection.

  • For Developers & Experts: A flexible platform for integration, contribution, and monetization (via APIs, widgets, Contributor Program - more details soon).

  • For the Ecosystem: A scalable, transparent, and community-driven way to verify trust in Web3.

What's Next?

TRAST v0.1-beta is live and powering the system. We are continuously refining features based on usage and feedback. Key areas of focus include:

  • Enhancing the Contributor Program.

  • Rolling out Live Feed v2.

  • Improving profile claiming and verification workflows.

  • Expanding API capabilities and documentation.

  • Integrating wallet linking for staking and access control.

Explore the new TRAST:

  • Use @TrastDotBot inline search.

  • Start the bot privately: /start

  • Try the commenting system.

  • Search for diverse entity types.

TRAST v0.1-beta is the beginning of a new chapter. Join us in building a more transparent and trustworthy Web3.

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Last updated 11 days ago