> For the complete documentation index, see [llms.txt](https://docs.tvatrack.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tvatrack.app/basics/privacy-policy.md). # Privacy Policy **Effective Date:** September 1, 2025 **TVA Track** respects your privacy. Our Chrome Extension and Telegram Bot do not collect, store, or share any personal information. *** ## What We Collect Nothing. The extension and bot operate locally or through public blockchain APIs. We do not collect any personally identifiable information (PII). *** ## Permissions The extension may request minimal permissions, such as reading the active tab or accessing public blockchain data, strictly to provide wallet tracking and signal functionalities. These permissions are never used to track, store, or sell user data. *** ## Data Sharing We do not sell, share, or transfer any user data to third parties. All activity is either processed locally in the browser or uses publicly available blockchain information. *** ## AI Processing If AI features are used, they operate on non-personal, anonymized, and public wallet activity data. No user identity or sensitive information is ever processed or stored. *** ## Your Consent By using the **TVA Track Wallet Tracker** Extension or Telegram Bot, you agree to this privacy policy. *** #### Contact If you have any questions or concerns, feel free to contact us:\ **** --- # 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: ``` GET https://docs.tvatrack.app/basics/privacy-policy.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.