August 24, 2025 - Blockchain data analysis platform Bubblemaps (BMT) recently announced upgrades to multiple core features, including AI-enhanced analysis, multi-chain compatibility expansion, and the community governance tool Intel Desk, aimed at improving on-chain data visualization and monitoring market manipulation behaviors.
AI-enhanced analysis: Automatically identifies market manipulation behaviors
Bubblemaps has added AI-driven anomaly transaction detection, which can automatically identify abnormal trading patterns from whale addresses, such as large wash trading and pump-and-dump market manipulation behaviors. This feature uses machine learning algorithms to analyze on-chain capital flows, helping investors to detect potential risks earlier.
Bubblemaps CTO Alexandre Bourget stated:
"Our AI system can track suspicious transactions in real-time and provide visual alerts, making the market more transparent."
Multi-chain compatibility: Supports public chains such as Ethereum, Solana, and Avalanche
Bubblemaps has expanded support for mainstream public chains such as Ethereum, Solana, and Avalanche, providing cross-chain data analysis services. In the future, it will also integrate Layer 2 networks like Polygon and Base, further covering more DeFi and NFT ecosystems.
Intel Desk: A community-driven on-chain survey platform
Bubblemaps launches Intel Desk, a decentralized governance platform based on the BMT token. Users can submit on-chain survey proposals by staking BMT and vote to determine the projects to be analyzed first. The results of successful proposals will be made public for all users to reference.
Market impact and future outlook
- Institutional adoption: Multiple crypto funds have integrated Bubblemaps' AI analysis tools to monitor portfolio risks.
- Compliance progress: The team is in communication with regulatory bodies in Hong Kong and Singapore, planning to apply for RWA (Real World Asset) analysis licenses.
- Future features: The 'Time Travel' mode will be launched in Q4, allowing users to trace historical token distributions and analyze market evolution.