# 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.dctx.ai/key-components/context-graph-layer/features.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.