Get Score Breakdown

Overview

Retrieve a detailed breakdown of a user’s ZKScore across all 8 scoring categories. This endpoint provides granular insights into how the total score is calculated, including individual category scores, weights, and historical comparisons.

The breakdown helps users understand which areas contribute most to their score and where they can improve.

Parameters

identity

string

required

ZKS ID (e.g., alice.zks) or wallet address (e.g., 0x742d35Cc...)

chainId

number

Specific chain ID to get breakdown for (optional, defaults to aggregated across all chains)

includeHistory

boolean

Include historical comparison data (default: false)

Response

success

boolean

Indicates if the request was successful

zksId

string | null

The ZKS ID (without .zks suffix), or null if not set

address

string

The primary wallet address

breakdown

object

Show properties

totalScore

number

Total ZKScore (0-10000)

Examples

curl https://api.onzks.com/v1/score/alice.zks/breakdown \
  -H "Authorization: Bearer YOUR_API_KEY"

Response Example

{
  "success": true,
  "zksId": "alice",
  "address": "0x742d35cc6635c0532925a3b844d1ff4e1321",
  "breakdown": {
    "totalScore": 9847,
    "categories": {
      "activity": {
        "score": 1200,
        "max": 1500,
        "percentage": 80.0,
        "description": "Transaction frequency and consistency",
        "metrics": {
          "dailyTransactions": 15.3,
          "consistency": 0.92,
          "activeMonths": 18
        }
      },
      "volume": {
        "score": 1800,
        "max": 2000,
        "percentage": 90.0,
        "description": "Total transaction volume",
        "metrics": {
          "totalVolume": "2847392.50",
          "averageTransaction": "1847.25",
          "largestTransaction": "125000.00"
        }
      },
      "age": {
        "score": 950,
        "max": 1000,
        "percentage": 95.0,
        "description": "Wallet age and longevity",
        "metrics": {
          "ageInDays": 547,
          "firstTransaction": "2023-01-15T10:30:00Z",
          "maturityLevel": "veteran"
        }
      },
      "diversity": {
        "score": 1400,
        "max": 1500,
        "percentage": 93.3,
        "description": "Protocol and chain diversity",
        "metrics": {
          "uniqueProtocols": 28,
          "uniqueChains": 5,
          "categorySpread": 0.87
        }
      },
      "governance": {
        "score": 1100,
        "max": 1200,
        "percentage": 91.7,
        "description": "DAO participation and voting",
        "metrics": {
          "proposalsVoted": 47,
          "daosParticipated": 12,
          "votingPower": "125000"
        }
      },
      "social": {
        "score": 897,
        "max": 1000,
        "percentage": 89.7,
        "description": "Social reputation and connections",
        "metrics": {
          "attestationsReceived": 23,
          "trustedConnections": 156,
          "reputationScore": 4.8
        }
      },
      "risk": {
        "score": 750,
        "max": 800,
        "percentage": 93.8,
        "description": "Risk management and security",
        "metrics": {
          "securityScore": 0.95,
          "riskIncidents": 0,
          "safetyPractices": 8
        }
      },
      "loyalty": {
        "score": 1750,
        "max": 2000,
        "percentage": 87.5,
        "description": "Long-term protocol engagement",
        "metrics": {
          "longestStreak": 127,
          "averageHoldTime": 89,
          "returnRate": 0.92
        }
      }
    },
    "weights": {
      "activity": 0.15,
      "volume": 0.20,
      "age": 0.10,
      "diversity": 0.15,
      "governance": 0.12,
      "social": 0.10,
      "risk": 0.08,
      "loyalty": 0.20
    },
    "percentiles": {
      "activity": 92.5,
      "volume": 95.8,
      "age": 88.3,
      "diversity": 94.2,
      "governance": 91.7,
      "social": 87.9,
      "risk": 96.1,
      "loyalty": 93.4
    },
    "historicalComparison": {
      "period": "30d",
      "changes": {
        "activity": +50,
        "volume": +120,
        "age": +10,
        "diversity": +35,
        "governance": +80,
        "social": +15,
        "risk": +5,
        "loyalty": +95
      },
      "totalChange": +410,
      "percentChange": 4.3
    }
  },
  "lastUpdated": "2024-01-20T14:30:00Z"
}

Category Details

1. Activity Score (Max: 1500)

Measures transaction frequency and consistency:

Daily/weekly transaction patterns
Consistency over time
Active months/years
Transaction regularity

2. Volume Score (Max: 2000)

Measures total transaction volume:

Cumulative transaction value
Average transaction size
Largest transactions
Volume growth rate

3. Age Score (Max: 1000)

Measures wallet longevity:

Days since first transaction
Maturity level (new/intermediate/veteran)
Historical presence
Continuous activity

4. Diversity Score (Max: 1500)

Measures protocol and chain diversity:

Number of unique protocols used
Number of chains interacted with
Category spread (DeFi, NFT, Gaming, etc.)
Exploration behavior

5. Governance Score (Max: 1200)

Measures DAO participation:

Proposals voted on
DAOs participated in
Voting power held
Governance token holdings

Measures social reputation:

Attestations received
Trusted connections
Community reputation
Social verifications

7. Risk Score (Max: 800)

Measures risk management:

Security practices
Risk incidents avoided
Safety measures implemented
Smart contract interactions

8. Loyalty Score (Max: 2000)

Measures long-term engagement:

Longest activity streak
Average hold time for assets
Return rate to protocols
Consistent participation

Use Cases

1. Score Visualization

Display breakdown in a dashboard:

async function displayScoreBreakdown(identity) {
  const { breakdown } = await getScoreBreakdown(identity);

  // Create chart data
  const chartData = Object.entries(breakdown.categories).map(([name, data]) => ({
    category: name,
    score: data.score,
    max: data.max,
    percentage: data.percentage
  }));

  // Render chart
  renderChart(chartData);

  // Show top categories
  const topCategories = chartData
    .sort((a, b) => b.percentage - a.percentage)
    .slice(0, 3);

  console.log('Your strongest areas:');
  topCategories.forEach(cat => {
    console.log(`  ${cat.category}: ${cat.percentage}%`);
  });
}

2. Improvement Recommendations

Suggest areas for improvement:

async function getImprovementSuggestions(identity) {
  const { breakdown } = await getScoreBreakdown(identity);

  const suggestions = [];

  Object.entries(breakdown.categories).forEach(([category, data]) => {
    if (data.percentage < 70) {
      suggestions.push({
        category,
        currentScore: data.score,
        maxScore: data.max,
        improvement: data.max - data.score,
        priority: 'high'
      });
    } else if (data.percentage < 85) {
      suggestions.push({
        category,
        currentScore: data.score,
        maxScore: data.max,
        improvement: data.max - data.score,
        priority: 'medium'
      });
    }
  });

  // Sort by potential improvement
  suggestions.sort((a, b) => b.improvement - a.improvement);

  return suggestions;
}

3. Progress Tracking

Track score changes over time:

async function trackProgress(identity) {
  const { breakdown } = await getScoreBreakdown(identity, true);

  if (breakdown.historicalComparison) {
    const { changes, percentChange } = breakdown.historicalComparison;

    console.log(`Overall change: ${percentChange > 0 ? '+' : ''}${percentChange}%`);
    console.log('\nCategory changes:');

    Object.entries(changes).forEach(([category, change]) => {
      const emoji = change > 0 ? '📈' : change < 0 ? '📉' : '➡️';
      console.log(`  ${emoji} ${category}: ${change > 0 ? '+' : ''}${change}`);
    });
  }
}

4. Comparative Analysis

Compare with network averages:

async function compareWithNetwork(identity) {
  const { breakdown } = await getScoreBreakdown(identity);

  console.log('Your percentile rankings:');
  Object.entries(breakdown.percentiles).forEach(([category, percentile]) => {
    const status = percentile >= 90 ? '🌟 Excellent' :
                   percentile >= 75 ? '✅ Above Average' :
                   percentile >= 50 ? '➡️ Average' :
                   '📊 Below Average';

    console.log(`  ${category}: ${percentile}% - ${status}`);
  });
}

Best Practices

1. Cache Breakdown Data

Breakdown data changes infrequently:

const breakdownCache = new Map();

async function getCachedBreakdown(identity) {
  const cacheKey = `breakdown:${identity}`;
  
  if (breakdownCache.has(cacheKey)) {
    const cached = breakdownCache.get(cacheKey);
    if (Date.now() - cached.timestamp < 15 * 60 * 1000) { // 15 minutes
      return cached.data;
    }
  }

  const data = await getScoreBreakdown(identity);
  breakdownCache.set(cacheKey, {
    data,
    timestamp: Date.now()
  });

  return data;
}

2. Visualize Category Performance

Use charts for better understanding:

function createRadarChart(breakdown) {
  const categories = Object.entries(breakdown.categories).map(([name, data]) => ({
    category: name,
    value: data.percentage
  }));

  // Render radar chart showing all 8 categories
  return {
    type: 'radar',
    data: categories,
    options: {
      scale: { min: 0, max: 100 }
    }
  };
}

3. Highlight Strengths and Weaknesses

function analyzeBreakdown(breakdown) {
  const categories = Object.entries(breakdown.categories);

  const strengths = categories
    .filter(([_, data]) => data.percentage >= 85)
    .map(([name, data]) => ({ name, percentage: data.percentage }));

  const weaknesses = categories
    .filter(([_, data]) => data.percentage < 70)
    .map(([name, data]) => ({ name, percentage: data.percentage }));

  return { strengths, weaknesses };
}

4. Monitor Historical Trends

async function getHistoricalTrends(identity, periods = 6) {
  const trends = [];

  for (let i = 0; i < periods; i++) {
    const data = await getScoreBreakdown(identity, true);
    trends.push({
      date: new Date(),
      totalScore: data.breakdown.totalScore,
      categories: data.breakdown.categories
    });

    // Wait before next request
    await new Promise(resolve => setTimeout(resolve, 1000));
  }

  return trends;
}

Get Score - Get total ZKScore
Get Score History - Historical score data
Get Leaderboard - Top scores

Troubleshooting

”Identity not found”

Cause: The identity doesn’t exist or hasn’t been activated. Solution:

Verify the identity exists
Ensure the identity is activated
Check for typos in the ZKS ID

”Insufficient data”

Cause: Not enough transaction history to calculate breakdown. Solution:

User needs more on-chain activity
Some categories may show 0 if no relevant activity
Breakdown becomes more accurate over time

”Historical data unavailable”

Cause: Historical comparison data not yet available. Solution:

Historical data requires at least 30 days of activity
Try again after more time has passed
Use includeHistory=false if not needed

Performance Tips

Cache Results: Breakdown data changes slowly, cache for 15+ minutes
Request Only When Needed: Don’t fetch on every page load
Use Pagination: For displaying multiple users, batch requests
Optimize Rendering: Render charts efficiently with libraries like Chart.js

Rate Limits

Score breakdown requests are subject to rate limits:

Free tier: 30 requests per minute
Starter tier: 150 requests per minute
Professional tier: 600 requests per minute
Enterprise tier: Custom limits

API Documentation

Identity

Scores

Achievements

Trading

Trust Layer

Developer Tools

Overview

Parameters

Response

Examples

Response Example

Category Details

1. Activity Score (Max: 1500)

2. Volume Score (Max: 2000)

3. Age Score (Max: 1000)

4. Diversity Score (Max: 1500)

5. Governance Score (Max: 1200)

7. Risk Score (Max: 800)

8. Loyalty Score (Max: 2000)

Use Cases

1. Score Visualization

2. Improvement Recommendations

3. Progress Tracking

4. Comparative Analysis

Best Practices

1. Cache Breakdown Data

2. Visualize Category Performance

3. Highlight Strengths and Weaknesses

4. Monitor Historical Trends

Troubleshooting

”Identity not found”

”Insufficient data”

”Historical data unavailable”

Performance Tips

Rate Limits

API Documentation

Identity

Scores

Achievements

Trading

Trust Layer

Developer Tools

​Overview

​Parameters

​Response

​Examples

​Response Example

​Category Details

​1. Activity Score (Max: 1500)

​2. Volume Score (Max: 2000)

​3. Age Score (Max: 1000)

​4. Diversity Score (Max: 1500)

​5. Governance Score (Max: 1200)

​6. Social Score (Max: 1000)

​7. Risk Score (Max: 800)

​8. Loyalty Score (Max: 2000)

​Use Cases

​1. Score Visualization

​2. Improvement Recommendations

​3. Progress Tracking

​4. Comparative Analysis

​Best Practices

​1. Cache Breakdown Data

​2. Visualize Category Performance

​3. Highlight Strengths and Weaknesses

​4. Monitor Historical Trends

​Related Endpoints

​Troubleshooting

​”Identity not found”

​”Insufficient data”

​”Historical data unavailable”

​Performance Tips

​Rate Limits

Overview

Parameters

Response

Examples

Response Example

Category Details

1. Activity Score (Max: 1500)

2. Volume Score (Max: 2000)

3. Age Score (Max: 1000)

4. Diversity Score (Max: 1500)

5. Governance Score (Max: 1200)

6. Social Score (Max: 1000)

7. Risk Score (Max: 800)

8. Loyalty Score (Max: 2000)

Use Cases

1. Score Visualization

2. Improvement Recommendations

3. Progress Tracking

4. Comparative Analysis

Best Practices

1. Cache Breakdown Data

2. Visualize Category Performance

3. Highlight Strengths and Weaknesses

4. Monitor Historical Trends

Related Endpoints

Troubleshooting

”Identity not found”

”Insufficient data”

”Historical data unavailable”

Performance Tips

Rate Limits