The Mock Graph Data Generator is a tool that creates deeply interconnected mock datasets for testing new ideas. It starts with designing the web by creating a network or graph of concepts, relationships, and nodes. The tool can generate graphs from prompts using an OpenAI API key, and allows users to export JSON files of the model. These files can be uploaded into arrows.app, a lightweight UI tool that generates shareable images. Once notated with additional properties such as names, locations, and dates, the data can be used to create CSV files compatible with graph databases like Neo4j. The tool is designed for property graphs, which store information in nodes and relationships with associated properties. With its compatibility with Neo4j's Data Importer tool, users can import the generated data into a running instance of the database. The Mock Graph Data Generator also includes features such as coordinate-based layout options and graph-centric query languages like Cypher. By using this synthetic data, researchers and developers can test hypotheses and explore new ideas in a controlled environment before working with real-world data.