Source: RSS3

RSS3 AI Data Network (also known as the RSS3 Data Sublayer, DSL) has now been officially integrated into Virtuals' G.A.M.E. Agentic framework, providing AI agents with real-time, structured, and verifiable data from Web1, Web2, and Web3. This integration enables Virtuals' AI agents to access real-time, structured, and verifiable global data, meeting the urgent need of AI for high-quality data.

With the help of the RSS3 AI data network, intelligent agents in the Virtuals G.A.M.E. ecosystem can seamlessly access real-time blockchain data (supporting 16 chains and continuously increasing), social media intelligence, and cross-platform raw data streams, breaking the data isolation problem faced by current AI development. This enables AI and DeFAI intelligent agents to operate with unprecedented autonomy and intelligence in the gaming, DeFi, and social fields. Developers who wish to use RSS3 data in the Virtuals framework can go to the Virtuals GitHub repository for more integration details.

How Real-time Verifiable Data Enhances AI Capabilities

Traditional AI agents often rely on closed, centralized datasets, isolated from the dynamic information of the real world. RSS3 disrupts this limitation by providing an open, verifiable, decentralized data stream - a crucial missing piece in the current AI ecosystem. RSS3 is hailed as the 'Bitcoin of the data world,' ensuring that AI agents can receive structured real-time information without relying on centralized managers, enabling trustless decision-making and decentralized intelligence. To date, the RSS3 AI data network has processed approximately 400 million query requests.

The RSS3 AI data network consists of 92 decentralized RSS3 nodes, including Google's own RSS3 nodes, further enhancing the decentralized capabilities and reliability of the AI intelligent agent, enabling it to operate more accurately and efficiently in application scenarios such as NPC behavior modeling, real-time emotion analysis, and autonomous financial systems.

Unlock the unlimited potential of AI agents

In a recent podcast interview, RSS3 founder Joshua shared some innovative ideas based on the Virtuals G.A.M.E. framework and combined with RSS3 data to build AI agents. For example:

· Hyperliquid Trading Intelligence Agent: Real-time cross-platform multimedia social data forecasting project trends;

· Pendle Wealth Management DAO: Combining complex DeFi loop automatic compounding and cross-chain arbitrage strategies to maximize returns;

· Polymarket Market Analysis Intelligence Agent: Real-time monitoring of cross-network social sentiment, identifying market inefficiencies, and capturing arbitrage opportunities.

Driving AI with decentralized data

The core vision of RSS3 is to decentralize data like Bitcoin decentralizes currency. The RSS3 team has always insisted that open, structured, verifiable data is not just an advantage, but the key to building truly autonomous intelligent AI. The integration with Virtuals further solidifies this vision, enabling AI agents in games, DeFi, and other fields to make decisions using trustless real-time data streams.

The RSS3 team strongly believes that the future of AI is not just about intelligence, it's about trustlessness. Today, RSS3 is powering Virtuals' AI agents, making decentralized AI no longer just a vision, but a reality.

This article is contributed and does not represent the viewpoint

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