Understanding Trust Scores

Verify project trust scores using TRAST's 5-square visual system, enabling instant risk assessment and community-driven intelligence across Web3 interactions.

🎯 Trust score display

Trast uses a 5-square system to visually represent trust scores:

🟩🟩🟩🟩🟩 95-100% Excellent
🟩🟩🟩🟩🟨 90-94% Very high
🟩🟩🟩🟩🟥 85-89% High
🟩🟩🟩🟨🟨 80-84% Good
🟩🟩🟩🟨🟥 75-79% Above average
🟩🟩🟩🟥🟥 70-74% Moderate high
🟩🟩🟨🟨🟨 65-69% Average
🟩🟩🟨🟨🟥 60-64% Fair
🟩🟩🟨🟥🟥 55-59% Below average
🟩🟩🟥🟥🟥 50-54% Moderate low
🟩🟨🟨🟨🟥 45-49% Caution
🟩🟨🟨🟥🟥 40-44% High caution
🟩🟨🟥🟥🟥 35-39% Warning
🟩🟥🟥🟥🟥 30-34% High warning
🟨🟨🟨🟥🟥 25-29% Very low
🟨🟨🟥🟥🟥 20-24% Poor
🟨🟥🟥🟥🟥 15-19% Very poor
🟥🟥🟥🟥🟥 0-14% Unsafe

📊 Score components

Each project display includes:

[score squares] [percentage] • 👥[reviews] • 👀[views]

For example:

🟩🟩🟩🟩🟩 100% • 👥25 • 👀51

Key metrics

1. Score squares

   • Visual representation of trust level

   • 5 Squares total

   • Mix of green, yellow, and red

   • Quick visual assessment

2. Percentage

   • Exact numerical score

   • Range: 0-100%

   • Calculated from community feedback

3. Review count (👥)

   • Number of unique reviewers

   • Higher count = more reliable score

   • Shows community engagement

4. View count (👀)

   • Times project was viewed

   • Indicates popularity

   • Helps track trending items

🏆 Impact on trending

Projects are ranked based on:

1. Trust score percentage

2. Number of reviews

3. View count

4. Recent activity

Higher scores and more activity increase visibility in trending lists.

💡 Using scores effectively

1. Quick assessment

   • Green majority = generally safe

   • Yellow majority = research needed

   • Red majority = exercise caution

2. Detailed review

   • Check exact percentage

   • Review number of votes

   • Read community feedback

   • Track view counts

3. Context matters

   • New projects May have fewer reviews

   • High views but low scores need investigation

   • Consider recent score changes

🛡️ Safety tips

1. Always check

   • Full score breakdown

   • Number of reviews

   • Recent feedback

   • Community warnings

2. Red flags

   • Sudden score drops

   • Very few reviews

   • Conflicting feedback

   • Unusual view patterns

3. Best practices

   • Use scores as one data point

   • Read detailed reviews

   • Check multiple sources

   • Report suspicious activity

Remember: trust scores are a helpful guide but should be used alongside other research and due diligence.