To this end, NIFTSY applies a "simple to complex" transition system: in the first stage, scoring - the evaluation of assets on the basis of quantitative and temporal parameters - is developed. At the second stage, voting by various actors of Web 3.0 systems (smart contracts, people, AI, owners of various DDS super-nodes, etc.) is added, i.e. a classic anti-fraud is born. Finally, the last one is a stage of implementing transactional reputation of assets from the moment of their genesis to the end of their existence (burning, sending to "eternal" addresses, etc.) and here already AI-analysis-synthesis methodology works, which is impossible without big data (why is there a step-by-step transition from scoring to classic anti-fraud and only from it to AI-aspect) and work through ZK-mechanics initially.