Use Cases

🎯 Overview

zPass transforms raw blockchain data into actionable intelligence for Web3 protocols. Discover how leading protocols use zPass to reduce risk, optimize growth, and build better user experiences.

🏆 Core Use Cases

🛡️ Risk Assessment & Management

Evaluate user creditworthiness and prevent bad actors from compromising your protocol.

Perfect for: DeFi lending, insurance protocols, high-value transactionsLearn More →

🎯 User Segmentation & Targeting

Identify and engage high-value users with precision targeting and personalized experiences.

Perfect for: Growth teams, marketing campaigns, user acquisitionLearn More →

🤖 Sybil Detection & Prevention

Eliminate fake accounts and bot networks from your platform and campaigns.

Perfect for: Airdrops, governance, fair launch mechanismsLearn More →

🏆 Reputation-Based Features

Build trust and loyalty with dynamic reputation systems and gamified experiences.

Perfect for: Community platforms, loyalty programs, governance systemsLearn More →

📊 Industry Applications

🏦 DeFi Protocols

Lending & Borrowing

  • Risk-Based Interest Rates: Offer competitive rates to proven borrowers

  • Collateral Assessment: Evaluate borrower reliability beyond just collateral value

  • Liquidation Prevention: Identify users likely to maintain healthy positions

  • Credit Lines: Provide unsecured or under-collateralized loans to trusted users

Example Implementation:

async function assessBorrower(walletAddress, loanAmount) {
  const score = await zpass.getScore(walletAddress);
  
  if (score.zscore > 700) {
    return { approved: true, rate: 'prime', ltv: 0.8 };
  } else if (score.zscore > 400) {
    return { approved: true, rate: 'standard', ltv: 0.6 };
  } else {
    return { approved: false, reason: 'Insufficient credit history' };
  }
}

DEX & Trading

  • VIP Trading Tiers: Reward high-volume, loyal traders

  • Liquidity Mining: Target stable, long-term liquidity providers

  • MEV Protection: Identify and protect genuine users from MEV attacks

  • Market Making: Assess counterparty risk for institutional trades

🎮 GameFi & Metaverse

Anti-Cheat Systems

  • Bot Detection: Identify automated farming accounts

  • Fair Play: Ensure competitive integrity in tournaments

  • Economy Protection: Prevent token dumping by farmers

  • Authentic Engagement: Reward genuine players over extractors

Player Progression

  • Skill-Based Matching: Match players of similar experience levels

  • Reward Distribution: Allocate rare items to committed players

  • Guild Systems: Form teams based on reputation and compatibility

  • Cross-Game Identity: Portable reputation across gaming platforms

🏛️ DAO & Governance

Voting Systems

  • Weighted Voting: Give more influence to committed community members

  • Proposal Quality: Require minimum reputation to submit proposals

  • Delegation: Identify trustworthy delegates for liquid democracy

  • Sybil Resistance: Prevent vote manipulation through fake accounts

Community Management

  • Moderation: Identify trusted community moderators

  • Access Control: Gate exclusive channels by reputation

  • Incentive Alignment: Reward long-term contributors over speculators

  • Cross-DAO Reputation: Recognize contributions across multiple DAOs

🚀 Implementation Patterns

Real-Time Decision Making

// User onboarding with instant risk assessment
async function onboardUser(walletAddress) {
  const analysis = await zpass.analyzeWallet(walletAddress);
  
  switch(analysis.risk_level) {
    case 'Low':
      return { status: 'approved', tier: 'premium' };
    case 'Medium':
      return { status: 'approved', tier: 'standard' };
    case 'High':
      return { status: 'review_required', tier: 'restricted' };
    default:
      return { status: 'manual_review', tier: 'pending' };
  }
}

Batch User Analysis

// Analyze user cohorts for targeted campaigns
async function segmentUsers(walletAddresses) {
  const scores = await zpass.batchAnalyze(walletAddresses);
  
  return {
    whales: scores.filter(s => s.zscore > 800),
    powerUsers: scores.filter(s => s.zscore >= 600 && s.zscore <= 800),
    regularUsers: scores.filter(s => s.zscore >= 300 && s.zscore < 600),
    newUsers: scores.filter(s => s.zscore < 300)
  };
}

Dynamic Pricing & Features

// Adjust features based on user reputation
function getFeatureAccess(userScore) {
  const features = {
    basicTrading: true,
    advancedCharts: userScore.zscore > 300,
    marginTrading: userScore.zscore > 500,
    vipSupport: userScore.zscore > 700,
    betaFeatures: userScore.zscore > 800
  };
  
  return features;
}

📈 Success Metrics

Risk Reduction

  • 75% fewer liquidations in lending protocols

  • 80% reduction in Sybil attacks for airdrops

  • 60% decrease in fraud across all applications

  • 90% improvement in user quality for campaigns

Growth Optimization

  • 3x better targeting accuracy for marketing campaigns

  • 40% increase in user retention through personalization

  • 2x higher conversion rates for targeted users

  • 50% reduction in acquisition costs through quality focus

Operational Efficiency

  • 90% reduction in manual review time for user onboarding

  • Instant risk assessment replacing hours of analysis

  • Automated decision making for 95% of cases

  • 50% fewer support tickets through better user matching

🛠️ Integration Examples

Quick Risk Check

// Simple risk assessment for new users
const riskLevel = await zpass.getRiskLevel(walletAddress);
if (riskLevel === 'High') {
  // Require additional verification
  await requestKYC(walletAddress);
}

Personalized Onboarding

// Customize user experience based on history
const profile = await zpass.getUserProfile(walletAddress);
const onboardingFlow = customizeOnboarding(profile.categories);

Campaign Optimization

// Target high-value users for special campaigns
const eligibleUsers = await zpass.findUsers({
  minScore: 600,
  categories: ['defi', 'nft'],
  activityLevel: 'high'
});

🎯 Choosing Your Use Case

Start Simple

Begin with basic risk assessment or user segmentation to see immediate value.

Scale Gradually

Add more sophisticated features like dynamic pricing or reputation systems as you grow.

Measure Impact

Track key metrics to quantify the value zPass brings to your protocol.

Iterate & Improve

Use insights from zPass to continuously refine your user experience and business model.

📚 Detailed Guides

Ready to implement? Explore our detailed use case guides:

🛡️ Risk Assessment

Complete guide to implementing risk-based decision making

🎯 User Segmentation

Advanced techniques for user targeting and personalization

🤖 Sybil Detection

Comprehensive anti-fraud and bot prevention strategies

🏆 Reputation Scoring

Building trust and loyalty through reputation systems

🤝 Need Help?

Not sure which use case fits your protocol?

  • 💬 Discord: Discuss with our community

  • 📧 Email: [email protected] for personalized guidance

  • 📞 Call: Schedule a consultation with our team

Ready to get started? Begin Integration →

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