Feature Specifications
Detailed technical specifications for TRAST's core features, covering platform access, intelligence systems, user tools, marketplace mechanics, security, and performance benchmarks.
Last updated
Detailed technical specifications for TRAST's core features, covering platform access, intelligence systems, user tools, marketplace mechanics, security, and performance benchmarks.
Last updated
This document provides detailed technical specifications for the core features and systems of the TRAST platform. It outlines implementation details, performance targets, user roles, and integration points for developers, contributors, and users seeking in-depth information.
TRAST offers a dual-access approach, ensuring functionality is available through both a comprehensive web interface and a convenient Telegram bot (@TrastDotBot).
Web Platform: Provides full management capabilities, detailed analytics, expert tools, portfolio tracking, and advanced configuration options.
Telegram Bot: Offers instant access to core functions like inline search, quick verification, alerts, and AI chat. Interaction relies primarily on button-based navigation and inline queries, minimizing the need for traditional slash commands. See the for UI examples.
Enterprise-ready APIs (REST, GraphQL) and embeddable widgets are planned for seamless integration with external platforms. API documentation will be available upon release.
These systems form the foundation of TRAST's analysis capabilities.
Provides a dynamic assessment of Web3 entity trustworthiness.
Calculation: Multi-factor analysis combining AI insights (), community feedback (reputation-weighted, time-decay), market indicators*, and verification status. (Market indicators TBD)
Output: 5-square visual representation and percentage score (0-100%).
Update Frequency: Scores are updated dynamically based on new data inputs (reviews, AI analysis, etc.). Specific component update frequencies (e.g., market data) vary.
Details: See .
Offers real-time insights into ecosystem activity.
Real-time Updates: Monitors new entity discoveries, community reviews, trust score changes, and potential warning signals. Updates typically propagate within seconds.
Activity Display: Shows timestamped activities with verification status (✅/👻), trust scores, and engagement metrics (👥/👀).
Trending Analysis: Ranks entities based on trust score, review volume/quality, views, and recent activity. Algorithm details are proprietary but focus on genuine, validated momentum.
Leverages AI for analysis, protection, and user assistance.
Enables instant entity lookups directly within Telegram.
Access: Type @TrastDotBot [query]
in any chat.
Capabilities: Searches by name, URL, contract address*, social handle*. Returns trust score, risk level, key metrics. (Address/handle lookup TBD)
Performance Target: < 2.5 seconds response time.
Features focused on community interaction, validation, and expertise monetization.
Aligns incentives and enables community governance.
Staking Options: Flexible (continuous linear rewards) and Time-Locked (bonus multipliers). No fixed APY.
Rewards: Earned from a unified pool funded by platform fees and potentially other sources.
Voting Power: Staking grants voting power to influence entity visibility.
Connects AI analysis with expert human validation via micropayments.
Workflow: AI analysis -> Expert Matching -> Validation/Enhancement -> Instant Compensation (TRAST tokens).
Service Tiers (Examples): Quick Verification, Detailed Analysis, Expert Review, Custom Reports with varying TRAST costs.
The operational hub for PayAI, allowing experts to monetize skills.
Expert Levels: Progression system (Entry, Verified, Master) based on reputation and accuracy.
Reward Structure: Varies by task complexity (e.g., Technical Validation, Market Intelligence, Risk Assessment). Includes base rewards, quality multipliers, speed/accuracy bonuses.
Specializations: Experts can focus on specific domains.
Enables deeper discussions beyond simple ratings.
Functionality: Add comments to entities or reviews; viewable via bot and inline search.
Features: Supports threading (planned), highlights verified user comments.
Provides spaces for focused community interaction.
Integration: Rooms integrate real-time data, AI insights, and expert access.
Features centered around the individual user experience.
Unifies Web3 presence and manages reputation.
Unified Profile: Consolidates Telegram handle, wallets*, social handles*, domains* (linking TBD).
User Verification: Process to gain verified status (✅) and increased impact.
Entity Verification: Instant verification for channels/groups adding @TrastDotBot as admin.
Aims to provide a guided introduction for new users.
Process: Contextual guidance, progressive feature discovery, interactive learning elements (planned).
Personalization: Adapts based on user type (Trader, Investor, Developer - planned).
Tools for tracking investments and analyzing market data.
Web Platform: Planned features include comprehensive dashboards, historical data, risk analysis, custom reports.
Telegram: Basic commands like /portfolio
, /track
, /untrack
may exist or are planned.
Ensuring a secure, reliable, and performant platform.
Multi-layered security approach.
Rate Limiting: Tiered limits for Free, Premium, Expert users across Web and Telegram.
Security Measures: IP protection, behavioral analysis (via AI), abuse detection, threat monitoring.
Infrastructure: Secure Supabase DB, isolated Heroku dynos, end-to-end encryption.
Maintaining responsiveness and availability.
Response Time Targets: Quick Search (<2.5s), Detailed Analysis (<5s).
System Reliability: Target 99.9% uptime; uses global CDN, load balancing, auto-scaling (Heroku), database optimization (Supabase).
Architecture: Fully asynchronous backend (FastAPI, SQLAlchemy async).
This document provides a detailed snapshot of TRAST's features. Specifications may evolve based on development progress, user feedback, and market needs.
Details: See .
AI Chat: () Provides answers and guidance using LLMService (OpenAI).
Scam Radar: () Proactively identifies risks using LLM analysis (on-chain, social, code analysis planned).
Review Copilot: () Assists users in writing quality reviews and generates summaries (TrustDigest).
Content Agent: () System for generating social media content (distinct from the Telegram bot).
Details: See .
Details: See .
Details: See .
Details: See .
Details: See .
Room Types: General (), topic-focused (), access-controlled ().
Details: See .
Details: See .
Analytics: describes overall data insights.
Details: See .
Details: See and .