Features

1. Interconnected Context

All individual data points (identity, behavior, governance, history) are interlinked, forming a complete picture of an entity’s role and evolution in Web3.

2. Real-Time Querying

Agents and dApps can perform graph-based queries like:

• “Who are the most active DAOs this user is involved with?”

• “What other users share similar staking behavior?”

3. Schema-Driven

Every relationship and data field in the graph is derived from DMCP-defined schemas, ensuring consistency and interoperability.

4. Temporal Awareness

Context Graphs are time-aware — meaning they can reflect how entities or relationships evolve over time.

5. Composable for AI

LLMs or AI agents can consume subgraphs as contextual input for reasoning, decision-making, and interactions.