> For the complete documentation index, see [llms.txt](https://docs.tokeline.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tokeline.com/main-process/the-process/data-maintanance.md). # Data Maintanance The maintenance team ensures accurate data reconciliation, thorough governance monitoring, and timely update implementation. Their technical savvy, analytical skills, and attention to detail guarantee consistent data integrity and indicator performance.\ \ We excel in tracking governance changes in an automated manner, with proactive alert systems notifying of any changes as they occur. ### `Data Reconciliation` After integrating the data, we conduct a data reconciliation. This involves comparing the newly uploaded data with the existing data in our database to identify any discrepancies. If any discrepancies are found, our team investigates and resolves them, ensuring the consistency and accuracy of our data. ### `Governance Monitoring` As a proactive measure, we continuously monitor the governance of the respective tokens we track. This involves scrutinizing any protocol updates, token burns, or changes to the tokenomics that might affect the supply and, by extension, the price. ### `Update Implementation` The final step involves implementing updates if necessary. Based on governance monitoring, reconciliation results, or newly available data, we might modify our indicators to reflect the most accurate, up-to-date picture of the token's status. These updates are done seamlessly and efficiently, without any disruption to the end-user experience. Our unique process reflects our commitment to providing reliable, real-time tokenomics data in a user-friendly (KISS) format. Transforming the complex tokenomics data into easy-to-understand visuals indicators, empowering investors to make informed decisions. --- # 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://docs.tokeline.com/main-process/the-process/data-maintanance.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.