RSS3 AI Information Community (often known as the RSS3 Information Sublayer, DSL) has formally built-in with Virtuals’ G.A.M.E. Agentic framework, bringing real-time, structured, and verifiable information throughout Web1, Web2, and Web3 immediately into AI brokers. This integration empowers Virtuals’ AI brokers with real-time, structured, and verifiable information throughout Web1, Web2, and Web3—feeding AI brokers the worlds’ information that they’re yearning for.
By tapping into RSS3’s AI Information Community, brokers inside Virtuals’ G.A.M.E. ecosystem achieve entry to real-time blockchain information (supporting 16 chains and counting), social media intelligence, and cross-platform main information streams—eliminating the information silos that restrict AI right now. This enables AI and DeFAI brokers in gaming, DeFi, and social to function with unprecedented autonomy and intelligence. Builders taken with leveraging RSS3’s information inside Virtuals’ framework can discover the mixing at Virtuals’ GitHub repository.
The Energy of Actual-Time, Verifiable Information in AI
Conventional AI brokers usually depend on closed, centralized datasets, working in isolation from real-world occasions. RSS3 flips that paradigm, delivering an open, verifiable, and decentralized information stream—a crucial lacking piece in right now’s AI panorama. Typically in comparison with because the “Bitcoin of Information,” RSS3 ensures AI brokers obtain structured, real-time data with out centralized gatekeepers, enabling trustless decision-making and decentralized intelligence. So far, the RSS3 AI Information Community has processed ~400 million queries.
RSS3 AI Information Community consists of 92 decentralized RSS3 nodes, together with Google’s personal RSS3 node, reinforcing the reliability and decentralization of AI brokers—whether or not in NPC habits modeling, real-time sentiment evaluation, or autonomous monetary programs.
Unlocking Agentic Potentials
In a podcast interview, RSS3 founder Joshua talked about some fascinating concepts of brokers that may be constructed on Virtuals’ GAME framework now with RSS3 information built-in. Some examples given embrace, a Hyperliquid dealer agent that may predict challenge momentum based mostly on real-time cross-platforms multimedia social information, a Pendle wealth administration agent that may maximize yields stacking up subtle DeFi looping auto-compounding and cross-chain arbitraging in accordance with real-time multi-chain information, and a Polymarket agent that may choose up real-time cross-network social sentiments detecting cross-market inefficiency.
Decentralizing AI—One Dataset at a Time
RSS3 was constructed on a radical imaginative and prescient: decentralizing information the way in which Bitcoin decentralized cash. The challenge emphasize on open, structured, and verifiable information being isn’t simply a bonus—as an alternative it’s the key to really autonomous and clever AI. This integration with Virtuals solidifies that imaginative and prescient, bringing trustless, real-time information streams to AI brokers in gaming, DeFi, and past.
The crew believes that the way forward for AI isn’t nearly intelligence—it’s about trustlessness. And with RSS3 fueling Virtuals’ AI brokers, decentralized AI is now not a dream—it’s taking place now.
