Leveraging Enriched Data in AI Agents

Semantic relationships within the knowledge graph significantly enhance the reasoning capabilities of AI agents, particularly in the "Think" phase of decision-making. With enriched data, agents can evaluate complex scenarios, compare states across protocols, and recommend optimized strategies based on a contextual understanding of the ecosystem.

A key component enabling this intelligence is Project Zero’s Block Functions Library. This library provides a growing collection of pre-built and AI-generated JavaScript functions designed to filter, transform, and enrich blockchain data in real time. Developers and AI agents can leverage these functions to extract insights specific to their use case—whether identifying whale transactions, tracking token flows, or analyzing DeFi protocol interactions.

For example, an AI agent managing a DeFi portfolio could use enriched data from the Block Functions Library to compare liquidity, yields, and risks across various protocols. By analyzing semantic relationships—such as how token flows impact protocol stability or how user behaviors influence governance outcomes—the agent can recommend optimal strategies for maximizing returns or minimizing risks.

By integrating AI-driven Block Functions into streaming data pipelines, Project Zero ensures that AI agents receive customized, high-fidelity insights in real time. This capability transforms AI agents into intelligent decision-makers, driving value for users across decentralized ecosystems.