> For the complete documentation index, see [llms.txt](https://docs.inforiver.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inforiver.com/super-filter/introduction-to-inforiver-super-filter.md). # Introduction to Inforiver Super Filter {% hint style="success" %} Looking to get started with this magic? Jump right here [Getting Started](/super-filter/introduction-to-inforiver-super-filter/getting-started.md) {% endhint %} **Inforiver** **Super Filter** is an advanced, all-in-one filtering solution for Power BI designed to empower users with ultimate flexibility and control over their data exploration. {% embed url="" %} Video 1: Super Filter Introduction {% endembed %} ## All about Inforiver Super Filter [Inforiver Super Filter](https://inforiver.com/super-filter/) is an all-in-one Power BI filtering solution, combining advanced date, categorical, and measure filters. Checkout the existing filtering types in the image below:

Image 1: Key features of Inforiver Super Filter

### Key Features: Inforiver Super Filter offers a versatile suite of filter types to cater to every data exploration need. From intuitive **Date Filters** with dynamic presets and heatmaps to **Categorical Filters** like [2. Facet Filter](/super-filter/filter-types/2.-facet-filter.md) and [3. Hierarchy Filter](/super-filter/filter-types/3.-hierarchy-filter.md), users can explore data more meaningfully. Additionally, [5. Numeric Filter](/super-filter/filter-types/5.-numeric-filter.md)and [6. Alpha Numeric Filter](/super-filter/filter-types/6.-alpha-numeric-filter.md) enable numeric and mixed-value-based filtering for granular insights. Inforiver Super Filter comes packed with smart features that boost usability and save time. Tools like [5. Presets](/super-filter/features/5.-presets.md), [1. Saved Filter](/super-filter/features/1.-saved-filter.md), [3. Mass Filter](/super-filter/features/3.-mass-filter.md), and [4. Pop-Up Mode](/super-filter/features/4.-pop-up-mode.md) make filtering fast and user-friendly. Add-ons like [2. Search](/super-filter/features/2.-search.md), [6. Conditional Formatting](/super-filter/features/6.-conditional-formatting.md), and [7. Sorting and Ranking](/super-filter/features/7.-sorting-and-ranking.md) help users focus on key insights with ease. With flexible layout options, Super Filter ensures a clean and interactive report experience for all users. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.inforiver.com/super-filter/introduction-to-inforiver-super-filter.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.