Token Audit at Scale: 15,000 EVM Tokens Across CoinGecko + CoinMarketCap (2026)

ChainAware expanded its Token Audit study from 10,000 CoinGecko tokens to 15,008 tokens combining CoinGecko and CoinMarketCap’s full EVM listings across 7 chains (Ethereum, BSC, Base, Polygon, Arbitrum, Optimism, Avalanche). Results: 57.7% high risk, 24.9% suspicious, 16.3% clean, and 156 confirmed honeypots via simulation analysis. 35.3% of tokens have no enforceable mint cap and 35.8% have no timelock on privileged functions – the two findings driving 77.4% of all risk verdicts, consistent with the original study. The biggest change is liquidity lock detection: now covering V2 and V3 pools across six chains and five DEX families (Uniswap, PancakeSwap, QuickSwap, SushiSwap, Trader Joe), with a new real-time recalculation feature that lets anyone verify current lock status on demand in under 5 minutes. Proxy contract detection also expanded to near-complete coverage, revealing 34.9% of tokens use upgradeable proxy patterns – including 118 controlled by a single private key with no multisig or timelock protection. Free Token Audit tool: 127 checks, deep code analysis, results in under 60 seconds, no signup required.

55% of the Top 10,000 CoinGecko Tokens Are High Risk. ChainAware Token Audit Shows Why.

55.2% of the top 10,000 CoinGecko tokens by market cap are HIGH RISK. 131 confirmed honeypots. 139 upgradeable proxy contracts controlled by a single private key. ChainAware Token Audit ran 127 security checks across 7 blockchains and found threats invisible to GoPlus, CertiK, and TokenSniffer. Full results at chainaware.ai/token-audit.

ChainAware Token Audit Launched – We Tested 10,000 CoinGecko Tokens. Here Are the Results.

ChainAware Token Audit is live – 127 automated security checks across 9 modules, tested against the top 10,000 CoinGecko tokens by market cap. The results: 55.2% high risk, 131 confirmed honeypots, 13.2% upgradeable proxy contracts – including 139 controlled by a single private key. ChainAware catches threats invisible to GoPlus, CertiK Skynet, and TokenSniffer: transitive approve() analysis, phantom balanceOf, EIP-2612 permit correctness, reentrancy detection, and asymmetric pause – powered by behavioral intelligence across 20M+ wallet personas on 8 blockchains. Free at chainaware.ai/token-audit.

ChainAware.ai’s 32 Claude Sub-Agents – Fraud Tech and Growth Tech for the Agentic Economy

ChainAware.ai operates on 32 Claude sub-agents – each one a specialist wrapping ChainAware’s Prediction MCP with precise decision logic and behavioral reasoning. This article classifies all 32 agents into Fraud Tech (17 agents) and Growth Tech (15 agents), with use case and trigger conditions for every agent.

ChainAware.ai Named in CB Insights AI Fraud Prevention Market Map – The Only Web3 AI Token in the List

CB Insights named ChainAware.ai in its AI Fraud Prevention Market Map – placing it in the On-Chain Intelligence subcategory alongside Chainalysis, Elliptic, and TRM Labs. 200+ companies selected. One mission: building the trust and intelligence infrastructure the worldwide AI revolution demands.

$284M+ in Rug Pulls on PancakeSwap V2 in 20 Weeks – Rug Pull Detector V3 Launched With 90.1% Accuracy

$284,694,192. That is not a headline from a dramatic DeFi hack. No Twitter threads trended. No security firms issued emergency advisories. No mainstream crypto media ran front-page coverage. That is the total value extracted from retail investors on PancakeSwap V2 alone – across just 20 weeks in 2026 – through a mechanism so normalized it barely registers as news: the rug pull. 103,695 separate rug pull events. $973,588,405 removed. $688,894,213 added before removal. ChainAware simultaneously launches Rug Pull Detector V3, combining behavioral analysis of contract creators with full smart contract inspection to reach 90.1% prediction accuracy, up from 68% in V2.

The Web3 Agentic Economy: How AI Agents Are Replacing Web3 Growth Teams

AI agents are replacing compliance officers, growth teams, and fraud analysts across Web3. This guide covers how the agentic economy works, which human functions are being automated first, and how ChainAware’s 32-agent infrastructure – fraud detection, AML scoring, rug pull detection, wallet ranking, growth targeting – powers the shift on 8 blockchains.

ChainAware Transaction Monitoring Agent: Complete Guide to 24×7 Dapp Fraud Protection

AML checks where funds came from. Transaction Monitoring predicts what a wallet will do next. This complete guide covers ChainAware’s Transaction Monitoring Agent – GTM pixel deploy in 12 minutes, real-time behavioral scoring at every wallet connection, Telegram alerts, and webhook automation for automatic blocking. No headcount required.

ChainAware Rug Pull Detector: Complete Guide to AI-Powered DeFi Contract Risk Detection

The complete guide to ChainAware’s AI-powered Rug Pull Detector – now upgraded to V3 with 90.1% prediction accuracy. Covers how V3 combines behavioral analysis of contract creators with smart contract code inspection, why behavioral analysis catches professional operators that code scanners miss, and how to use it free before investing in any pool or token.

ChainAware Fraud Detector: The Complete Guide to Predictive Crypto Fraud Detection

The complete guide to ChainAware’s Predictive Fraud Detector – how it works, how it differs from AML screening, when to use it, and its limitations. 98% prediction accuracy, real-time, free to use. The key distinction: AML looks backward at transaction history. Fraud detection looks forward at behavioral probability.