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:
Complete guide to implementing risk-based decision making
Advanced techniques for user targeting and personalization
Comprehensive anti-fraud and bot prevention strategies
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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