> For the complete documentation index, see [llms.txt](https://coinsafe.gitbook.io/coinsafe-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://coinsafe.gitbook.io/coinsafe-docs/tools/how-savesense-analyzes-transactions.md). # How SaveSense Analyzes Transactions SafeSense AI starts by looking at what matters most: your financial history.\ Rather than relying on generic assumptions, it dives into your actual activity on-chain learning from the unique way you already spend, and interact with crypto. Specifically, SafeSense AI analyzes a curated set of your past transactions from your wallet. These transactions reveal valuable patterns: how frequently you deposit, typical amounts, timing, and how consistent your spending behavior has been over time. By understanding these patterns, SafeSense AI builds a personalized profile of your saving habits. This profile isn’t just a static report it becomes the foundation for dynamic recommendations that adapt as your behavior changes. What makes this process unique is how SafeSense AI ties these insights into the two core saving strategies on CoinSafe: #### 🎯 TargetSafe For users who prefer to set a clear savings goal, SafeSense AI uses your past deposit sizes and timing to suggest realistic targets that align with your capacity and behavior. Instead of guessing an amount that might feel too ambitious (or too low to matter), the AI recommends goals that feel achievable — keeping you motivated and improving your chances of staying on track. #### ⚙ AutomatedSafe For those who save passively, SafeSense AI transforms your transaction history into an automated savings schedule tailored to your habits. By identifying when and how much you’re most likely to deposit, it helps set up automatic deposits that fit naturally into your financial rhythm ensuring you keep saving without the stress of manually managing each deposit. In essence, the process works like this: * SafeSense AI reviews a snapshot of your real transaction history on-chain. * It extracts insights about your consistency, preferred tokens, average deposit size, and timing. * It uses this data to shape savings plans that feel custom-built for you, whether through clear targets or seamless automation. This approach turns raw historical data into a living savings strategy keeping your saving journey grounded in who you are and how you actually save, rather than what you should save according to a fixed rule. At its core, SafeSense AI’s transaction analysis is about one thing:\ Turning your past into a smarter plan for your future. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://coinsafe.gitbook.io/coinsafe-docs/tools/how-savesense-analyzes-transactions.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.