According to @bubblemaps, on-chain wallet clustering indicates that addresses 0x1246E490308db61DCa45ead613f47430De3830ad, 0xF32e3596f555546ACc4aD6Ef67e1ABF36b134748, 0xee7f7f53f0d0c8c56a38e97c5a58e4d321a174dc, and 0x7e99042e82204Df12C3D783C6795e8b7dDCf3FCe are linked to the WLFI team and collectively account for about 33% of supply based on percentage matching, while official team addresses have not been disclosed, source: Bubblemaps on X. According to @bubblemaps, the identified 33% team allocation signals high holder concentration for WLFI and provides specific wallets for trade surveillance and risk controls, including monitoring large transfers to exchanges and liquidity pools, source: Bubblemaps on X. According to @bubblemaps, these mappings are inferred from matching percentages and are not confirmed by WLFI, so traders should treat the labels as provisional when designing on-chain alerts and position sizing, source: Bubblemaps on X.

According to @glassnode, Mantra experienced a sharp price collapse, dropping below $1 within hours. The on-chain analysis revealed significant changes in exchange flows and holder concentration. A high volume of Mantra tokens moved to exchanges, indicating potential sell-off pressure. Additionally, the concentration of holdings shifted, suggesting a redistribution among wallets. The realized cap metric also showed a decline, reflecting reduced profitability among investors. Furthermore, user activity metrics indicated increased transaction volumes, possibly due to panic selling.

According to @intotheblock, their latest Perspective dashboard provides insights into the Virtuals_io ecosystem, highlighting key trading metrics such as the concentration of major holders, holder profitability, and adoption rates of AI agent tokens.