Open App

Case Studies

ChainAware's impact isn't measured in demos or pilots - it's measured in real outcomes for real protocols.

Below you'll find documented case studies from customers who have deployed ChainAware's AI-powered fraud detection, growth intelligence, and compliance tools in production. Results include hard metrics, implementation details, and the specific products used - so you can assess what's achievable for your protocol.

SmartCredit.io - DeFi Lending Platform

SmartCredit.io: 8x Engagement, 2x Conversions in 6 Months

Growth & AdTech Web3 Analytics 1:1 Targeting
8x User Engagement
2x Primary Conversions
6 mo Time to Results

SmartCredit.io, a DeFi lending platform, was struggling to convert connecting wallets into transacting users. By integrating ChainAware's Web3 User Analytics and Growth Agents via Google Tag Manager - a 30-minute, no-code setup - they segmented their audience by on-chain behaviour and delivered personalised messaging to each wallet type. The results transformed their conversion metrics within six months.

Read the Full Case Study

Rug Pull on PancakeSwap V2 - Data Study

Rug Pull on PancakeSwap V2: 20-Week Analysis, $569M Extracted

Rug Pull Detector V3 PancakeSwap V2 BNB Chain
$569M Extracted
103,695 Rug Pull Events
90.1% V3 Accuracy

ChainAware analysed 20 consecutive weeks of PancakeSwap V2 data in 2026, documenting 103,695 confirmed rug pull exits extracting $569M from retail holders. The study validated Rug Pull Detector V3 - which combines deployer wallet behavioural analysis with smart contract code inspection - against the live dataset, achieving 90.1% prediction accuracy. Up from 68% in V2.

Read the Full Analysis

Token Audit - CoinGecko & CoinMarketCap - Data Study

15,008 Listed Tokens Audited: 57.7% High Risk, 16.3% Clean

Token Audit CoinGecko CoinMarketCap
15,008 Tokens Audited
57.7% High Risk
16.3% Clean

ChainAware ran Token Audit across 15,008 deduplicated EVM contracts listed on CoinGecko and CoinMarketCap, across 7 chains. 57.7% scored High Risk. Only 16.3% scored Clean. The two strongest risk predictors: 35.3% of tokens have no mint cap (zero appeared in the Clean bucket), and 49.5% have unlocked LP - the deployer can drain the pool at any time. 28.9% of listed tokens have no liquidity at all.

Read the Full Analysis

More Coming Soon

ChainAware is actively documenting results from protocols across DeFi lending, DEX aggregation, token launchpads, and compliance use cases. If you're a ChainAware customer and want to be featured in a case study, get in touch.

Not sure which ChainAware products are right for your protocol? Book a demo and we'll walk you through the options.