Wallet Intelligence

ChainAware Investigation: Wallet Forensics and AML Reports for Compliance Teams and AI Agents

ChainAware Investigation turns a single EVM wallet address into a structured seven-section forensic report in 30 to 90 seconds. The report covers Identity and Roles, Activity Summary, Top Counterparties, Risk Assessment, Circular Flows and Clusters, AML Exposure, and a Conclusion with a combined LOW, MEDIUM, HIGH or CRITICAL risk tier. It combines ChainAware’s behavioral fraud intelligence with OFAC sanctions screening, third-party forensic signals and identity lookups across ENS, Unstoppable Domains, SPACE ID and ChainAware known-entity labels. Investigation supports externally owned accounts on Ethereum, BNB Smart Chain, Base and Polygon, and it is a point-in-time snapshot that teams rerun for monitoring. Compliance and AML teams use it for KYT due diligence, incident response, SAR preparation and pre-transaction OTC screening, while AI agent builders use the fixed structure and risk tier as a machine-readable counterparty check inside agentic pipelines. This guide explains each report section, the four risk tiers, a worked example, common wallet patterns, workflow design, responsible-use rules and the tool’s limits. ChainAware does not file SARs, and recommendations remain informational. Related tools include Agent Trust Score, the Fraud Detection API, Token Audit and the Prediction MCP. Learn more at chainaware.ai/learn/investigation/index.html.

Why Web2 Growth Playbooks Fail in DeFi

Every major Web2 growth tactic – AARRR funnel tracking, CRM and lifecycle email, paid retargeting, loyalty and gamification, referral attribution, community-led growth, cohort segmentation, and multi-touch attribution – depends on persistent user identity. DeFi’s anonymous wallet model breaks that assumption, which is why standard growth stacks underperform in Web3. This guide breaks down each of the eight tactics individually, shows exactly where the identity dependency lives inside it, and maps it to its wallet-native replacement. Airdrop farming and Sybil attacks drain a large share of incentive budgets, loyalty programs reward the wrong wallets, and referral links lose attribution at the wallet connection. ChainAware’s behavioral intelligence platform – 23M+ wallet-level profiles across 8 blockchains (ETH, BSC, Base, Polygon, TON, Tron, Solana, HAQQ), Growth Agents, the Web3 Persona and On-Chain Marketing Analytics – restores the missing layer by combining session data with wallet-level behavior. Profiling runs in under 100ms through the Prediction MCP, and wallet personalization lifts connect-to-transact to 40-60% versus an industry baseline under 10%, as seen in the SmartCredit.io case study. Learn more at chainaware.ai/learn/growth-tech/growth-agents.html.

Why DeFi User Acquisition Is Broken – And How Wallet Personalisation Fixes It

DeFi teams spend more than $100 to acquire every connecting wallet, yet fewer than 10% of connected wallets ever transact, pushing real CAC above $1,000 per engaged user. This article explains why Web2 identity tools – cookies, email capture, CRM, A/B testing – cannot read wallet addresses, and how wallet-level behavioral intelligence fixes it. ChainAware’s Growth Agents combine session data with wallet data, profiling every connecting wallet in under 100ms through the Prediction MCP, using the ChainAware Web3 Persona: experience level, risk profile, intent and predicted next action. Tool-specific copy, calls to action and onboarding paths then adapt to each visitor, which lifts connect-to-transact rates to 40-60% against an industry baseline under 10%. The guide covers the cost of the connect-to-transact gap, the persona signals that drive personalization, fraud and Sybil screening in the same call, and a SmartCredit.io case study with a 4x engagement uplift. ChainAware profiles 23M+ wallets across 8 chains (Ethereum, BNB Chain, Base, Polygon, TON, Tron, Solana and HAQQ) and runs Growth Agents as part of its 34 Claude sub-agents across Fraud Tech and Growth Tech. Integration takes about 30 minutes. Learn more at chainaware.ai/learn/growth-tech/growth-agents.html.

Web3 User Segmentation: Behavioral Analytics with 10 Dimensions, Real-Time Analysis - ChainAware.ai

Web3 User Segmentation: Behavioral Analytics for Dapp Growth 2026

Anonymous wallets are not anonymous to their on-chain history. This 2026 guide covers how to segment Web3 users by Wallet Rank, experience level, risk tolerance, transaction intentions, and protocol preferences – turning wallet connections into actionable user intelligence that drives real DApp growth.