Why Semantic Indexing?

Semantic indexing is crucial for AI agents to unlock the full potential of blockchain data. While raw data like transaction logs or wallet balances provide a foundation, they lack the context necessary for advanced insights. Semantic indexing addresses this by linking and organizing data into a knowledge graph that reveals relationships between disparate elements, such as wallet interactions, token flows, and contract behaviors.

For instance, an AI agent analyzing liquidity pools can use semantic indexing to understand not only the current balances but also the relationships between trading volumes, token prices, and historical user behaviors. This contextual understanding enables agents to identify emerging trends, predict outcomes, and deliver actionable insights far beyond what traditional indexing can offer.