> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/consume/discover/search-the-hub/filters.md).

# Filters

Filters narrow the Hub to the Data Products that match specific metadata. Use filters when the list is large and you want to focus on a domain, a product type, a quality or run status, a set of tags, or the members associated with a product. Filters work together with keyword [search](/consume/discover/search-the-hub.md): search matches text, while filters match structured product metadata.

## Open the filter panel

Click the filter icon at the top left of the product list to expand the **Filter by** panel. The panel lists each available filter category. Click a category to expand it and select one or more options.

<figure><img src="/files/uKKSJ7t2hGvnc50QJNsr" alt=""><figcaption></figcaption></figure>

The **All** and **My data products** toggle above the panel works alongside filters. Keep **All** selected to filter across every Data Product in the Tenant, or select **My data products** to filter only the products you own or are a member of.

## Filter categories

Each category expands to show the values available in the selected Tenant. Select a checkbox to apply a value. You can select multiple values within a category and combine categories at the same time.

### Domain

Focus on a single business area so you only see products relevant to your work, such as `marketing`, `logistics`, or `platform`. Use Domain when you know which part of the business owns the data you need.

<figure><img src="/files/wCwE2jXvF3MhmdZEY2o7" alt=""><figcaption></figcaption></figure>

### Type

Limit the list to a specific kind of entity so unrelated results drop away. Select `dataproduct` to see only Data Products.

<figure><img src="/files/69dMP2k5VnjSSlsKYi2S" alt=""><figcaption></figcaption></figure>

### Quality

Find trustworthy products before you invest time in them, or surface the ones that need attention:

* **Passing**: products with no open data quality issues, safe to rely on.
* **Failing**: products that have open data quality issues, worth checking before you use them.

<figure><img src="/files/UxrXEoep1VFd9UZcPTVq" alt=""><figcaption></figcaption></figure>

### Last run

Avoid stale or broken outputs by filtering on how a product's most recent run finished:

* **Successful**: the last run completed, so the outputs are current.
* **Failed**: the last run failed, a signal that the outputs may be missing or out of date.

<figure><img src="/files/LekgmB50XFjAem2QD742" alt=""><figcaption></figcaption></figure>

### Tags

Narrow to a topic, source, or convention your team uses, so you only see products relevant to that grouping. Tags reflect whatever labelling convention is applied across the Tenant.

<figure><img src="/files/e7cazjgmzHYzcncPspbm" alt=""><figcaption></figcaption></figure>

### Members

Find products owned or maintained by a specific person, so you know who to trust or contact about the data. Use Members when you are looking for a particular team's or colleague's products.

<figure><img src="/files/2U7lDKet49enIw7KyRV7" alt=""><figcaption></figcaption></figure>

## Combine and clear filters

* **Combine filters**: applied values narrow the list to products that match every selected category. Selecting multiple values within one category matches any of those values.
* **Clear filters**: clear a value to widen the list again, or clear all values to return to the full list.


---

# 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://v2.dataos.info/consume/discover/search-the-hub/filters.md?ask=<question>&goal=<endgoal>
```

`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.
