QuillAudits
"Audit Smarter, Launch Safer, Protect Every Line of Code"
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Our Utility Score is calculated based on a weighted analysis of Platform Functionality, User Experience (UX), Ecosystem Integration, and Active Usage. We evaluate the practical value of the tools, feature availability, cross-chain support, and real-world adoption metrics across the Web3 ecosystem.
Note: Utility scores are dynamic and update as apps release new features or add network support. Users should evaluate features based on their own use cases.
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Overview
QuillAudits is a leading blockchain security firm specializing in smart contract audits, dApp penetration testing, and on-chain monitoring for Web3 protocols. Its primary value is delivering multi-layered, expert-driven security assessments that help projects launch with confidence and protect digital assets from exploits.
Founded over 8 years ago, QuillAudits has grown into one of the most recognized names in Web3 security, having secured 1,500+ projects, audited over 1 million lines of code, and protected more than $3 billion in digital assets. The firm serves a broad client base — from early-stage DeFi startups to enterprise-grade blockchain protocols — and has earned the trust of top exchanges that formally accept its audit reports as proof of security compliance.
Secure
Multi-layered audits combining AI scanning, manual review, and fuzzing eliminate critical vulnerabilities before mainnet deployment.
Performance
Audited 1M+ lines of code across 1,500+ projects with consistent findings quality accepted by major centralized exchanges.
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Rating & Utility
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How We Calculate Utility Score
Our Utility Score is calculated based on a weighted analysis of Platform Functionality, User Experience (UX), Ecosystem Integration, and Active Usage. We evaluate the practical value of the tools, feature availability, cross-chain support, and real-world adoption metrics across the Web3 ecosystem.
Note: Utility scores are dynamic and update as apps release new features or add network support. Users should evaluate features based on their own use cases.
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