zero knowledge consensus for pos chains
A research-grade framework for extracting, classifying, and analyzing the “genetic” behavior of smart contract tokens. Identifies economic traits, supply mutations, fee patterns, permission risks, upgradeability vectors, and scam species using a structured gene taxonomy with risk scoring, HTML reports, and token comparison tools.
zero knowledge consensus for pos chains
Autonomous multi-agent system for blockchain research and documentation using Claude AI
🌐 Explore zk-vrf-consensus, a cutting-edge research project for verifiable random functions in decentralized networks.
🤖 Build and manage a blockchain knowledge base with an autonomous multi-agent system, enhancing research and documentation efficiency.
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