In the field of on-chain research, the transparency of token distribution is the primary factor in identifying risks. The visualization engine provided by Bubblemaps perfectly addresses this pain point: it visually displays the concentration of holdings through bubble sizes and reveals the flow of funds between wallets through connections, allowing researchers to quickly identify potential control behaviors.
On the functionality side, the Magic Nodes clustering algorithm can reveal the wallet networks controlled by behind-the-scenes teams, avoiding being misled by appearances; Time Travel supports tracing the distribution evolution of tokens before unlocking periods or price fluctuations; while Intel Desk collects intelligence in a community-driven manner, having accumulated over 200,000 on-chain analysis contributions to date, creating unique data assets.
In terms of token economics, $BMT plays a core role. It is not only a governance tool but also a necessary credential for paying for Intel Desk services, unlocking advanced features, and accessing InfoFi data products. On-chain data shows that the number of active holding addresses has grown by 137% in the past three months, supporting the platform's average daily query volume of 150,000, validating the rigid demand for its use cases.
Overall, Bubblemaps is forming a dual moat of data barriers + token economy drive, gradually establishing its position as a basic infrastructure for crypto research and risk control.
