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Home»Blockchain»RSS3 AI Data Network feeds the game agents of Virtuals with Word’s data
Blockchain

RSS3 AI Data Network feeds the game agents of Virtuals with Word’s data

2025-02-15No Comments3 Mins Read
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RSS3 AI Data Network (also known as the RSS3 Data SUBLLAYER, DSL) is officially integrated with the Game Agentic Framework from Virtuals, which brings real-time, structured and verifiable data about Web1, Web2 and Web3 directly to AI agents. This integration sets the AI ​​agents of virtuals in real time, structured and verifiable data about Web1, Web2 and Web3 Giving AI agents the data of the worlds they want.

By using the AI ​​data network of RSS3, agents within the Game Ecosystem of Virtuals get access to real-time blockchain data (support of 16 chains and counts), social media intelligence and Cross-platform Primary data flows-value the Datasilo’s are limited to limit today today. . This allows AI and Defai agents to work in gaming, Defi and social with unprecedented autonomy and intelligence. Builders who are interested in the use of RSS3’s data in the Virtuals Framework can explore the integration in the GitHub -Repository of Virtuals.

The power of real -time, verifiable data in AI

Traditional AI agents often rely on closed, centralized data sets, which work separately from Real-World events. RSS3 -Flips that deliver paradigm, an open, verifiable and decentralized data stream -a critically missing piece in today’s AI landscape. Often compared to the “Bitcoin of Data”, RSS3 ensures that AI agents receive structured, real-time information without centralized gatekeepers, making confidential decision-making and decentralized intelligence possible. To date, the RSS3 AI data network has processed ~ 400 million queries.

RSS3 AI Data Network consists of 92 decentralized RSS3 nodes, including Google’s own RSS3 junction, strengthening the reliability and decentralization of AI agents in NPC behavioral modeling, real-time sentiment analysis or autonomous financial systems.

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Unlock agent potentials

In a podcast interview, RSS3 founder Joshua mentioned some interesting ideas from agents who can now be built at the Framework Framework game integrated with RSS3 data. Some examples include a hyperliquid trader agent who can predict the project momentum on the basis of real-time cross-platforms Multimedia Social Data, an agent for asset management who can maximize the proceeds that can increase advanced defi-running and cross-chain arbitringing According to real-time multi-chain data and a polymarket agent that can collect real-time cross-network social sentiments that detect inefficiency of cross-market.

Decentralize AI – One dataset at the same time

RSS3 was built on a radical vision: decentralizing data such as Bitcoin decentralized money. The project emphasizes that open, structured and verifiable data are not only an advantage – instead it is the key to truly autonomous and intelligent AI. This integration with Virzieht solidifies that vision and brings confidential, real-time data flows to AI agents in gaming, Defi and beyond.

The team believes that the future of AI is not only about intelligence – it’s about confidentiality. And with RSS3 that feeds the AI ​​agents of virtuals, decentralized AI is no longer a dream anymore – it is happening now.

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Agents Data feeds Game Network RSS3 Virtuals words
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