San Francisco, California
Bluwhale, an AI-native platform focused on personalized financial intelligence, today announced the launch of its AI Agent Store, a marketplace for autonomous financial agents designed to support asset monitoring, analysis, and execution across digital and on-chain financial environments.
The AI Agent Store introduces a modular framework in which users can deploy specialized agents to perform predefined financial tasks, including monitoring market conditions, managing stablecoin allocations, supporting staking activities, and coordinating on-chain transactions. According to the company, the agents operate based on user-defined preferences and risk parameters within the platform’s architecture.
The launch comes amid broader experimentation across the financial technology sector with automation and artificial intelligence, as firms explore ways to manage increasing data complexity and fragmented financial infrastructure.
Coordinated Through a Unified Financial Signal
All agent activity within the platform is coordinated through Bluwhale’s proprietary WhaleScore, an internally developed composite indicator that integrates traditional financial data, on-chain activity, and behavioral signals. WhaleScore functions as a centralized reference point for agent decision-making, intended to align actions with an individual user’s financial profile and stated objectives.
“Financial management has become increasingly complex as assets, platforms, and data sources fragment,” said Han Jin, Chief Executive Officer of Bluwhale. “The AI Agent Store is designed to provide a structured way for users to deploy automated tools that assist with monitoring and execution while maintaining oversight through a unified financial signal.”
Initial Agent Categories
At launch, the AI Agent Store includes a range of specialized agents across several functional categories. These include agents focused on stablecoin yield monitoring, digital asset staking, lending allocation analysis, cross-chain portfolio aggregation, transaction cost optimization, and on-chain risk monitoring.
Additional agents support trading analytics, macro-level market analysis, liquidity management, and blockchain interoperability. Bluwhale stated that the agent framework is designed to be extensible, allowing additional agents to be introduced over time.
User Interaction and Oversight
Bluwhale’s platform includes a conversational interface that allows users to review agent activity, request updates, and adjust preferences. While agents can operate autonomously within predefined parameters, users retain control over strategy selection and approvals.
The company emphasized that agent activity is intended to support decision-making and execution rather than replace user oversight. Agent-driven actions do not constitute financial advice, and outcomes remain subject to market conditions and associated risks.
Platform Context
Bluwhale positions the AI Agent Store as an operational toolset that aggregates data sources and execution capabilities within a single interface, addressing workflow complexity rather than promoting specific investment outcomes or performance expectations.
About Bluwhale
Bluwhale is a financial technology platform focused on autonomous AI-driven financial intelligence. Through its WhaleScore framework and suite of AI agents, the company provides tools designed to support asset monitoring, risk assessment, and execution across digital financial environments.
For more information, visit www.bluwhale.com.
Last modified: February 10, 2026
