Wallet-to-wallet transaction flow mapping

Blockchain analysis requires tracing the flow of funds through complex networks of wallets, smart contracts, and exchanges. MemoryJar's graph view is built for exactly this kind of relational analysis. Create wallet nodes, exchange nodes, and entity nodes, then map the transaction flows between them with labeled edges showing amounts, timestamps, and transaction hashes. The graph makes it visually apparent where funds concentrate, where they split, and where they ultimately land. Each node carries rich-text notes for documenting attribution evidence, compliance flags, and analytical observations. The 17 entity types mean you can represent wallets, exchanges, people, organizations, and jurisdiction nodes all in the same graph — connecting the on-chain world to the real world.

Exchange attribution and entity linking

The core challenge of blockchain analysis is linking pseudonymous on-chain addresses to real-world entities. MemoryJar provides the workspace for building and documenting these attributions. Create entity nodes for known exchanges, OTC desks, darknet markets, and identified individuals. Link them to their known wallet addresses with evidence documented in rich-text notes. As you identify new addresses belonging to known entities through clustering analysis, transaction pattern matching, or external intelligence, add them to the graph and document your attribution methodology. The graph view shows the full picture — which entities are sending funds to which, through how many hops, and via which intermediaries. The outline view provides a structured hierarchy for organizing attributions by entity, by investigation, or by confidence level.

Mixer and tumbler tracing

Tracing funds through mixing services, tumblers, and privacy protocols requires documenting complex multi-hop transaction chains. MemoryJar's graph view lets you map the pre-mixer inputs and post-mixer outputs, then document the analytical techniques used to link them. Create mixer nodes as central entities, with input transactions on one side and output transactions on the other. Attach notes documenting the timing analysis, amount correlation, or behavioral patterns that support your tracing conclusions. The graph makes the complete flow visible — from source wallet through the mixer to the destination — with every analytical step documented in the attached notes. This creates an auditable chain of analysis that supports compliance reporting, law enforcement requests, and legal proceedings.

Secure offline analysis

Blockchain analysis often involves sensitive financial intelligence, ongoing investigations, and compliance-restricted data. MemoryJar runs entirely offline as a portable desktop application. No transaction data, wallet attributions, or investigative findings are ever transmitted to a cloud service. The application stores all data locally in an encrypted database. For team investigations, the LAN collaboration mode enables shared workspaces without any data leaving your organization's network. The portable executable format means analysts can work on secured workstations, carry the application on encrypted USB drives, and operate in environments where cloud-based analysis tools are prohibited by policy or regulation.