> For the complete documentation index, see [llms.txt](https://omnix-2.gitbook.io/omnix/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://omnix-2.gitbook.io/omnix/spark.md). # Spark Health and finance have always felt disconnected—your body telling one story, your transactions another. Your smartwatch tracks your heart rate, your crypto wallet records every Solana transaction, but no one connects the two. Stress, risk, and financial decisions impact your well-being every day, yet the data sits in silos, unexamined. For years, no one truly attempted to bring these threads together. Financial tools ignored health signals, and health apps rarely considered how spending, trading, or investing shaped your stress levels. Most solutions waited until symptoms appeared—never peeking around the corner at what might be coming next. Then, the tech began to shift.\ We saw breakthroughs in AI—complex LLMs like o1, o3, and DeepSeek—capable of handling massive, unstructured datasets in real time. We watched them reason through multi-step problems, interpret subtle patterns in user behavior, and replicate elements of human intuition. Suddenly, that daydream of **a personal health-finance companion** wasn’t so far-fetched. If AI can manage that complexity, why not point it at your transactions and biometric data? That’s where **Omnix** comes in. We’re merging **Solana blockchain transactions** with **real-time biometric tracking**—so every trade, every purchase, every decision gives you insight into your own well-being. Omnix continuously monitors **how your pulse changes with every transaction**, tracking patterns in your stress levels over time. It **nudges you before small imbalances turn into bigger issues**, offering proactive insights into how financial habits shape your body’s responses. Our spark is watching technology finally catch up to our vision: * **AI-driven pattern recognition** that effortlessly integrates financial and health data. * **Near-real-time analytics** that decode the physiological impact of your transactions. * **A user experience that feels intuitive**, not robotic—always on, always learning. We realized that if anyone was going to do it, **it might as well be us**.\ Omnix exists to harness this **new wave of AI power** and apply it where it matters most: **your well-being, measured in every moment, with every transaction.** --- # 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://omnix-2.gitbook.io/omnix/spark.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.