RSS3 is quietly transforming the way data flows in Web3. As a decentralized information dissemination protocol, it has begun to build bridges between Web3 and AI, search engines, and content ecosystems, providing a data layer that can be directly accessed by machine learning models.

In December this year, the RSS3 Foundation launched two key tools—AgentData real-time event streams and MCP Server natural language query platform. These two updates directly address the efficiency bottleneck of AI agents, especially in DeFi applications and prediction market scenarios. At the same time, infrastructure upgrades have significantly improved network stability and scalability, playing a tangible role in attracting developers.

From a data perspective, RSS3 hits the pain point of the AI era—fragmentation of training data. It promotes the flow of open Web information, enabling AI to more efficiently access on-chain and off-chain data. In market prediction, RSS3 is expected to reach $0.03447 by 2026, representing a 172% increase from the current price. With the adoption by institutional users and overall market recovery, the potential for more than threefold growth is entirely realistic.