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Chainbase: The Omnichain Hyperdata Network in the Age of AI @ChainbaseHQ #chainbase $C In 2025, the blockchain ecosystem has covered over 200 chains, generating vast amounts of data daily. However, this data is highly fragmented and heterogeneous, making it unable to directly serve AI models. Traditional centralized indexers face single points of failure and trust issues, while the demand for data in AI is encountering bottlenecks: a lack of structured, verifiable, and real-time data sources. Chainbase, as the world's largest omnichain data network, has built the Hyperdata Network, which aims to transform fragmented on-chain signals into structured, verifiable, AI-ready 'hyperdata'. It is not only a data infrastructure but also the cornerstone of the DataFi era, supporting decentralized AI agents, applications, and permissionless coordination among humans. As of December 2025, Chainbase has indexed over 200 blockchains, processed over 500 billion data calls, and supported more than 35,000 developers and thousands of projects. Core architecture: Dual-Chain technology and modular design. Chainbase employs an innovative dual-chain architecture that bridges the programmability and composability of data while achieving high throughput, low latency, finality, and enhanced security.

Chainbase: The Omnichain Hyperdata Network in the Age of AI

@Chainbase Official #chainbase $C
In 2025, the blockchain ecosystem has covered over 200 chains, generating vast amounts of data daily. However, this data is highly fragmented and heterogeneous, making it unable to directly serve AI models. Traditional centralized indexers face single points of failure and trust issues, while the demand for data in AI is encountering bottlenecks: a lack of structured, verifiable, and real-time data sources. Chainbase, as the world's largest omnichain data network, has built the Hyperdata Network, which aims to transform fragmented on-chain signals into structured, verifiable, AI-ready 'hyperdata'. It is not only a data infrastructure but also the cornerstone of the DataFi era, supporting decentralized AI agents, applications, and permissionless coordination among humans. As of December 2025, Chainbase has indexed over 200 blockchains, processed over 500 billion data calls, and supported more than 35,000 developers and thousands of projects. Core architecture: Dual-Chain technology and modular design. Chainbase employs an innovative dual-chain architecture that bridges the programmability and composability of data while achieving high throughput, low latency, finality, and enhanced security.
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On a rainy night in 2025, young developer Li Ming sat in front of his computer in an old apartment, staring at the scattered blockchain data on the screen. Ethereum's transaction records, Solana's high-speed transfers, Sui's complex states... these data points were dispersed like islands, and he tried to build an AI trading agent but kept hitting bottlenecks in data acquisition. API call timeouts and index synchronization failures caused him to crash repeatedly. One day, he saw a post on X: Chainbase's Theia Chat had launched. He curiously tried it out and asked, "How to monitor cross-chain DeFi opportunities in real-time?" Theia not only provided the answer but also included the complete reasoning chain and real-time data sources. Li Ming was shocked—this was not an ordinary chatbot; it was like a sage who understood the crypto world. From that day on, Li Ming connected to Chainbase's API. The Manuscript framework made it easy for him to parse Solana's complex data, and the Hyperdata Network unified data from all chains into structured streams. The AI agent he built began to operate autonomously: discovering arbitrage opportunities on Ethereum and executing flash loans on Solana, everything was seamlessly connected. Months later, Li Ming's agent earned considerable profits for the community. He participated in Chainbase's community governance, staking $C tokens to become a network validator. The once-isolated islands transformed into an interconnected ocean; data was no longer a burden but a source of power. Now, Li Ming often thinks: Chainbase is not just a tool; it illuminates the future of the fusion of Web3 and AI. @ChainbaseHQ #Chainbase
On a rainy night in 2025, young developer Li Ming sat in front of his computer in an old apartment, staring at the scattered blockchain data on the screen. Ethereum's transaction records, Solana's high-speed transfers, Sui's complex states... these data points were dispersed like islands, and he tried to build an AI trading agent but kept hitting bottlenecks in data acquisition. API call timeouts and index synchronization failures caused him to crash repeatedly. One day, he saw a post on X: Chainbase's Theia Chat had launched. He curiously tried it out and asked, "How to monitor cross-chain DeFi opportunities in real-time?" Theia not only provided the answer but also included the complete reasoning chain and real-time data sources. Li Ming was shocked—this was not an ordinary chatbot; it was like a sage who understood the crypto world. From that day on, Li Ming connected to Chainbase's API. The Manuscript framework made it easy for him to parse Solana's complex data, and the Hyperdata Network unified data from all chains into structured streams. The AI agent he built began to operate autonomously: discovering arbitrage opportunities on Ethereum and executing flash loans on Solana, everything was seamlessly connected. Months later, Li Ming's agent earned considerable profits for the community. He participated in Chainbase's community governance, staking $C tokens to become a network validator. The once-isolated islands transformed into an interconnected ocean; data was no longer a burden but a source of power. Now, Li Ming often thinks: Chainbase is not just a tool; it illuminates the future of the fusion of Web3 and AI.
@Chainbase Official #Chainbase
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@ChainbaseHQ #chainbase On a rainy night in 2025, young developer Li Ming sat in front of his computer in an old apartment, staring at the scattered blockchain data on the screen. Ethereum's transaction records, Solana's high-speed transfers, Sui's complex states... these data points were scattered like islands, and he tried to build an AI trading agent, but he was always stuck at the bottleneck of data acquisition. API calls timed out, and index synchronization failed, causing him to crash repeatedly. One day, he saw a post on X: Chainbase's Theia Chat was launched. He curiously tried it out and asked, "How to monitor cross-chain DeFi opportunities in real time?" Theia not only provided the answer but also included a complete reasoning chain and real-time data sources. Li Ming was shocked—this was not an ordinary chatbot; it was like a wise person who understood the crypto world. From that day on, Li Ming connected to Chainbase's API. The Manuscript framework made it easy for him to parse Solana's complex data, and the Hyperdata Network unified the data from all chains into structured streams. The AI agent he built began to operate autonomously: discovering arbitrage opportunities on Ethereum and executing flash loans on Solana, everything was seamlessly connected. Months later, Li Ming's agent earned substantial profits for the community. He participated in Chainbase's community governance, staking $C tokens and becoming a network validator. Once isolated islands transformed into an interconnected ocean, data was no longer a burden but a source of power. Now, Li Ming often thinks: Chainbase is not just a tool; it illuminates the future of the fusion of Web3 and AI.
@Chainbase Official #chainbase
On a rainy night in 2025, young developer Li Ming sat in front of his computer in an old apartment, staring at the scattered blockchain data on the screen. Ethereum's transaction records, Solana's high-speed transfers, Sui's complex states... these data points were scattered like islands, and he tried to build an AI trading agent, but he was always stuck at the bottleneck of data acquisition. API calls timed out, and index synchronization failed, causing him to crash repeatedly. One day, he saw a post on X: Chainbase's Theia Chat was launched. He curiously tried it out and asked, "How to monitor cross-chain DeFi opportunities in real time?" Theia not only provided the answer but also included a complete reasoning chain and real-time data sources. Li Ming was shocked—this was not an ordinary chatbot; it was like a wise person who understood the crypto world. From that day on, Li Ming connected to Chainbase's API. The Manuscript framework made it easy for him to parse Solana's complex data, and the Hyperdata Network unified the data from all chains into structured streams. The AI agent he built began to operate autonomously: discovering arbitrage opportunities on Ethereum and executing flash loans on Solana, everything was seamlessly connected. Months later, Li Ming's agent earned substantial profits for the community. He participated in Chainbase's community governance, staking $C tokens and becoming a network validator. Once isolated islands transformed into an interconnected ocean, data was no longer a burden but a source of power. Now, Li Ming often thinks: Chainbase is not just a tool; it illuminates the future of the fusion of Web3 and AI.
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