RSS3 Launches AgentData: Real-Time Internet Feeds Built for AI Agents

RSS3, the open information layer of the Web, today announced the launch of AgentData, a new infrastructure that gives AI agents real-time access to the latest news, social trends, and market movements — much like how humans use RSS feeds, but redesigned for machine consumption. Built on top of the global RSS3 node network, AgentData provides high-fidelity, low-latency streams of Web1, Web2, and Web3 data, enabling agents to observe, reason, and act on the world with up-to-date context. Information is scattered across different sources and presented in inconsistent formats — the system aggregates and normalizes signals from social platforms, open-web sources, and on-chain activity, making it one of the first large-scale “event streams for AI.”

“AI agents today are powerful, but blind. They lack the real-time awareness we take for granted when reading the internet. AgentData gives agents the same constant flow of updates humans get from RSS—only faster, structured, and machine-ready.”

AgentData is part of a broader RSS3 initiative to build the Open Web Agent Standard—a unified framework for agents to consume data, execute actions, and verify behaviors across decentralized and centralized systems. The launch follows recent integrations with major agent ecosystems, making AgentData compatible with rapidly growing frameworks in gaming, social, DeFi, and general AI automation. Key capabilities of AgentData include:

• Real-time information streams across the open web
• Market, news, and social-trend monitoring optimized for AI agents
• Machine-readable formats with consistent schemas
• Easy integration through RSS3 Node and external agent frameworks
• Support for decentralized & open-web data sources

AgentData empowers AI agents with real-time situational awareness, enabling them to learn, adapt, and make decisions based on the constantly changing state of the internet：

• Dynamic Learning with Fresh Insights: AI agents must evolve by continuously learning from the latest data to improve their performance. RSS3 AgentData provides a steady stream of real-time information, allowing AI agents to refresh their knowledge base and adjust to new trends, behaviors, or insights that would otherwise be missed in static datasets.
• Context-Aware Decision-Making: By integrating RSS3 AgentData, AI agents can better contextualize their actions based on the most current external inputs. This ensures that agents are not only reacting to past data but are making informed decisions based on evolving circumstances.
• Continuous Model Refinement: Real-time data is crucial for agents that rely on machine learning models for prediction and decision-making. RSS3 enables agents to update and refine their models on the fly, incorporating the latest trends and insights directly into their learning algorithms. This dynamic approach ensures that agents stay relevant in rapidly changing environments.
• Autonomous Adaptation to New Environments: AI agents interacting with real-world environments—whether in DeFi, Social, or any other domain—must adapt to new information as it becomes available. RSS3 AgentData equips these agents with the data they need to make real-time adjustments, improving their ability to navigate complex, evolving environments autonomously.

AgentData is now available for developers, agent platforms, and enterprises building next-generation autonomous agents that require always-on awareness of the world.

About RSS3

RSS3 is building the open information standard of the internet. Through decentralized infrastructure and massive open-web coverage, RSS3 powers applications across AI, crypto, social, and research, enabling systems with transparent and composable information flows.