How to use ChainAware as a Web3 business – four products covering growth, analytics, compliance, and AI agent integration. Covers Growth Agents for 1:1 wallet outreach, Behavioral Analytics via GTM pixel, Transaction Monitoring and AML, and Prediction MCP for any LLM. All built on 20M+ wallet profiles across 8 blockchains.
SmartCredit.io achieved 8x engagement and 2x primary conversions in 6 months using ChainAware Web3 Growth Agents and Behavioral Analytics. This case study covers the challenge (low connect-to-transact conversion, no user insight), the solution (behavioral segmentation + personalized wallet messaging), and the full results.
Crypto portfolio diversification in 2026 goes beyond holding Bitcoin and Ethereum. This guide covers Markowitz Modern Portfolio Theory applied to crypto, efficient frontier construction, asset correlation, market-cap tiering, sector diversification across DeFi, L1, L2, NFT, GameFi, and AI tokens, and rebalancing strategies for volatile markets.
Every wallet’s transaction record is a complete financial decision log – the richest behavioral dataset in marketing history. This guide covers how behavioral user segmentation works in Web3, why on-chain data outperforms cookies and surveys, and how DApp teams use ChainAware’s 20M+ wallet profiles to target, convert, and retain the right users.
Third-party cookies are dying across Chrome, Firefox, and Safari – but Web3 marketers are getting stronger, not weaker. Blockchain wallet data is richer than any cookie: every transaction, protocol interaction, and behavioral pattern is on-chain and public. This guide covers how to build cookie-free 1:1 personalized marketing using on-chain behavioral intelligence.
ChainAware co-founder Martin joins Cluster Protocol, SecuredApp, and Foreverland on an AILayer X Space to discuss the intersection of AI and Web3 – the opportunities, the risks, and the next wave. Covers AI agent coordination, DeFi security, smart contract audits, Web3 cloud infrastructure, and where behavioral intelligence fits in the stack.
ChainAware co-founder Martin covers the full platform origin story and AI architecture in this ChainGPT Pad AMA. ChainAware emerged from SmartCredit.io credit scoring – credit scoring required fraud scoring, fraud scoring proved more valuable in DeFi, rug pull detection followed. The accidental roadmap that became a 32-agent behavioral intelligence platform.
Web2 needed Google to organize information and make it useful. Web3 needs the same layer for trust and personalization. This guide explains how ChainAware’s individual user tools – Fraud Detector, Rug Pull Detector V3, Wallet Auditor, Share My Audit – do for Web3 what Google’s infrastructure did for the early web.
ChainAware co-founder Martin joins Magic Square to discuss Web3 AdTech and fraud detection for the real economy. Covers ChainAware’s origin from SmartCredit credit scoring through to fraud detection, rug pull prediction, wallet auditing, and Web3 AdTech – and why custom AI models, not LLM wrappers, are the only defensible IP moat in Web3.
ChainAware co-founders Martin and Tarmo join Datai and ChainGPT Labs to map what Web3 AI agents actually are and what they already do in production. Covers ChainAware’s two live production agents – Web3 marketing agent and behavioral fraud detection agent – alongside Datai’s data infrastructure and ChainGPT’s incubation model.