### Chainbase: When Blockchain Data Becomes the "Alchemist" of AI

In the wave where AI meets Web3, Chainbase ($C) has not stopped at data indexing, but has reshaped the value chain of blockchain data with **"Data Alchemy"** — transforming fragmented raw on-chain activities into structured, verifiable AI fuel, attempting to incubate a **DataFi economy** under a decentralized framework. Its ambition targets the underlying operating system of the AI era.

**Core innovations lie in threefold disruptions:**

1. **Programmable Data Assets**: Through the "Manuscript" protocol, developers can customize data flow rules, transforming raw transaction logs into dynamic assets understandable by AI, such as training real-time trading bots or causal inference models for autonomous dApps;

2. **Shared Security Mechanism**: Leveraging EigenLayer's restaking network, Chainbase backs data verification with the economic security of 600,000 ETH, avoiding the costs of building trust from scratch;

3. **Tokenized Data Market**: The $C token serves as a universal medium for data access, node staking, and governance, with 80% of API fees reinvested into node operators, forming a **closed-loop economic flywheel**.

**Tencent's bet** further verifies its strategic value: the $15 million Series A funding employs a "equity + token warrants" model, suggesting traditional capital has recognized — **high-quality on-chain data is a scarce resource for training AI models**, and Chainbase is building its distribution network.

Currently, Chainbase has indexed over 200 chains and processed 500 billion calls, but the real test lies in: Can AI agents continuously pay $C for structured data? If successful, it may become an invisible pipeline in the era of Web3 and AI integration, giving rise to a new paradigm where **data equals capital**.@ChainbaseHQ #Chainbase