video1.0<iframe src="https://www.loom.com/embed/6ebd9ee547024ec889872cc6713a6a73" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/6ebd9ee547024ec889872cc6713a6a73-4e409ebab144b997.gif64.704In this video, I discuss AX-Tier's goal of detecting real users, bots, and suspicious clusters through on-chain behavior analysis. We utilize a scoring system that evaluates timing, transaction patterns, and real-consistency to assign scores to each wallet, helping us identify organic users versus potential fraud. Our XDAG technology goes deeper by analyzing transaction sequences and interactions, allowing us to uncover coordinated activities that traditional metrics might miss. This approach enhances transparency and trust within the Solana ecosystem by making on-chain behavior measurable and verifiable. I encourage you to consider how these insights can improve our understanding of user activity.