EVM Wallet Behavior Analytics Engine

Automatically classify wallets into precise behavioral cohorts (e.g., whales, arbitrageurs, NFT flippers, liquidity providers) based on historical transaction patterns, asset holdings, and protocol interactions. Enables hyper-targeted marketing and personalized product experiences.

Identify wallets at high risk of leaving your protocol and predict high-value acquisition targets. Our ML models analyze engagement signals and cross-protocol activity to forecast user lifetime value (LTV) with over 85% accuracy, allowing proactive intervention.

Detect coordinated wallet clusters, airdrop farmers, and fraudulent activity patterns using graph analysis and anomaly detection. Protect your token distribution, governance votes, and incentive programs from manipulation. Integrates with existing security stacks.

Unified view of wallet behavior across Ethereum, Polygon, Arbitrum, Optimism, and Base. Correlate activity and asset flows across L2s and sidechains to understand true user engagement and capital allocation strategies, eliminating data silos.

We build and maintain your proprietary Key Performance Indicators (KPIs) and executive dashboards. Track metrics like Protocol-Specific User Engagement, Wallet Health Score, or Capital Efficiency directly in your BI tools (Tableau, Looker) or via our API.

Configure real-time alerts for critical wallet behaviors: large withdrawals, whale accumulation, or pattern deviations. Deliver alerts directly to your CRM, Slack, or data warehouse to trigger automated workflows or manual follow-ups instantly.

Identify and flag anomalous wallet behavior—like wash trading, money laundering patterns, or bot activity—in real-time. Protect your platform's integrity and reduce exposure to malicious actors before they impact your business.

Classify wallets by on-chain persona (e.g., DeFi power user, NFT collector, casual trader) to personalize marketing, tailor product features, and design targeted incentive programs that drive higher engagement and retention.

Gain predictive insights into capital flows, user withdrawal patterns, and protocol health. Make data-driven decisions for liquidity provisioning, fee structure optimization, and treasury diversification to maximize yield and stability.

Automate the generation of auditable trails for transaction history, fund sourcing (SoF), and wallet clustering. Streamline regulatory reporting and internal audits with structured, query-ready data exports.

A/B test new features by analyzing wallet cohort behavior. Validate product-market fit, measure feature adoption impact on key metrics (TVL, volume), and prioritize your roadmap based on actual user activity.

Benchmark your protocol's wallet activity, user loyalty, and capital efficiency against competitors. Identify market gaps, uncover strategic opportunities, and position your offering based on hard data.