Bot Outputs

When you're working with the Trast bot, understanding its output interface is crucial for efficient monitoring and interaction. This reference covers the key navigation elements and interface componen

Project Display Format

Standard Project Display

When displaying a project, the bot shows:

ProjectName
[trust score squares] percentage% • 👥[user count] • 👀[view count]
Added by @username [verification badge]
[timestamp]

For example:

Ripple
🟩🟩🟩🟩🟩 100% • 👥1 • 👀0
Added by @TRAST2TG ✅
just now

Trust Score Visualization

Trust scores are displayed using colored squares:

• 🟩 Green squares: Strong positive indicators

• 🟨 Yellow squares: Neutral/warning indicators

• 🟥 Red squares: Negative/concerning indicators

Common score patterns:

• 🟩🟩🟩🟩🟩 100% - Excellent trust rating

• 🟩🟩🟩🟩🟨 92-93% - Very high trust with minor concerns

• 🟩🟩🟩🟨🟨 84-85% - Good trust with some caution

• 🟩🟩🟨🟥🟥 50% - Significant concerns present

List Displays

Project Listing

When displaying multiple projects, each entry shows:

ProjectName
[trust squares] percentage% • 👥[users] • 👀[views]

Trending Projects

The trending section shows top-rated projects:

🏆 Trending in web3 (timestamp UTC)
Top rated entities based on community trust and activity

1. ProjectName ✨ new
[trust score] • 👥[users] • 👀[views]

Projects are ranked based on:

• Trust score percentage

• User engagement numbers

• View counts

• Recent activity

New Project Discovery

Initial Discovery

When a new project is discovered:

✨ new discovery!

projectname.com
[trust squares] percentage% • 👥0 • 👀0

be the first to add this to TRAST network
suitable for any web3 entity: projects, tokens, contracts, services...

[good] [unsure] [avoid]

Quick Add Results

After adding a new project:

Project added via quick add by [username]

Community feedback:
🟢 @username ✅ (just now)

[Search] [Live updates] [Report]

Interactive Elements

Button-Based Navigation

The TRAST bot is designed for button-first navigation. Most actions—such as starting AI chat, searching, rating, or accessing help—are available via Telegram buttons. This reduces the need for commands and makes the bot accessible to all users.

• Main menu: Entry point for all features, including AI chat, search, trending, and account linking.

• Contextual buttons: Each view (project, review, entity) provides relevant actions (rate, report, view details, etc.).

• Help and restart: Always accessible via buttons in the interface.

AI Chat Features

• AI chat access: Available via main menu button and deep links (e.g., /start ai).

• Memory: The AI assistant maintains conversation memory for context-aware, multi-turn interactions.

• Private chat redirect: In group chats, AI chat prompts users to continue in private for privacy and better experience.

• Entity search: Ask the AI about any project, token, or user—results are fetched from the TRAST database.

• Help: Ask "What can you help me with?" or tap the help button for guidance.

AI Chat Example Interactions

• "What is vote staking?"

• "Tell me about [project name]"

• "How do I verify my account?"

• "Show trending projects"

Rating Buttons

At the bottom of project displays:

• 🟢 good - Positive rating

• 🟨 unsure - Neutral rating

• 🟥 avoid - Negative rating

Navigation Options

Standard navigation buttons:

• 🔍 Search - Open search interface

• 🌱 Live updates - Show recent activity

• 🔄 Refresh - Update current view

• ⚠️ Report - Report issues

Status Indicators

User Verification

• ✅ Verified user/team member

• 👻 Anonymous user

• 🌱 New/growing user

Project Status

• ✨ New discovery

• 🏆 Trending project

• ⚠️ Warning flag

• 🔒 Verified contract

Community Feedback

Review Display

Community feedback:
[username] [badge]([timestamp])

Activity Updates

Recently discovered:
[project] by [username] [badge]
[trust score] • 👥[users] • 👀[views]

Inline Search Guide

Quick Access

Inline search is accessible in any Telegram chat:

1. Type @TrastDotBot

2. Add your search term

3. Results appear instantly

4. Select to share or explore

Search Types

Direct Project Search

@TrastDotBot projectname
→ Shows exact and partial matches
Example: "@TrastDotBot newtoken.com"

Category Search

@TrastDotBot category
→ Shows related projects
Example: "@TrastDotBot dao"

Search Results Display

Project Listing

Each result shows:

• Project name

• Trust score visualization (🟩🟩🟩🟩🟩)

• Trust percentage (e.g., 100%)

• User count (👥)

• View count (👀)

Results Sorting

Results are prioritized by:

1. Exact name matches

2. High trust scores

3. Activity levels

4. Community engagement

Smart Features

Discovery Prompt

When searching for new projects:

✨ Add to TRAST: projectname
first one to add this web3 entity

Quick Add

• Instantly add new projects

• Initial trust assessment

• Community feedback collection

• Immediate verification

Search Tips

Effective Searching

1. Use exact project names when known

2. Try category keywords for exploration

3. Watch for verification badges

4. Note trust scores and activity

5. Check community feedback

Result Navigation

1. Click result to view details

2. Use quick actions if available

3. Check related projects

4. Monitor community responses

5. Track project updates

Search Results

Full search results show:

• Project name and details

• Trust score visualization

• Community feedback

• Activity metrics

• Quick action buttons

Special Features

Pinned Messages

📌 Pinned Message
[title]
[content with trust metrics]

Group Statistics

Group overview:
• Active members
• Trust levels
• Recent activity
• Top projects

Best Practices

For Viewing Results

1. Check trust score colors and percentage

2. Note user and view counts

3. Review community feedback

4. Look for verification badges

5. Consider timestamps

For Adding Projects

1. Use clear, accurate names

2. Provide complete information

3. Rate appropriately

4. Add helpful feedback

5. Monitor community response

For Reporting Issues

1. Use report button for concerns

2. Provide specific details

3. Include evidence if available

4. Follow up if needed

5. Monitor resolution

Remember: The bot's output format is designed for quick understanding while providing comprehensive information. Pay special attention to trust scores, verification badges, and community feedback when evaluating projects.