> For the complete documentation index, see [llms.txt](https://loomilab.gitbook.io/loomilab/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://loomilab.gitbook.io/loomilab/getting-started/quickstart.md).

# Mail Validator

<figure><img src="/files/QnJp4pRZAY8jLdJTcou6" alt=""><figcaption></figcaption></figure>

### Installation Guild

1. Visit Monday app marketplace:[ Mail Validator](https://auth.monday.com/oauth2/authorize?client_id=5dc3e4e4fc06b09f4851d5d8de928876\&response_type=install).
2. Select your plan and continue.
3. On this page, users will see the permission scopes your app is requesting and will be asked to approve the request.
4. The app will then be installed on the user's monday.com account.
5. Users can find the newly installed app by clicking P*rofile picture -> Administration -> Apps.*
6. Check whether Mail Validator is listed under Installed Apps. That will make sure that the app has been successfully installed in your workspace.

### Setup Integration

To integrate your board with the mail validator follow these steps.

1. Define the validation data points that you need to the board from the mail validator:

| Output Data          | Monday Column Type |
| -------------------- | ------------------ |
| Mail Status          | Status Column      |
| Mail Status Reason   | Text Column        |
| Deliverability Score | Text Column        |
| Is Disposable        | Text Column        |
| Is Full              | Text Column        |

2. Click on integration.
3. Select or search for Mail Validator.
4. Select the best recipe for your validation automation.
5. Link the output to the defined columns.
6. Check whether the automation is active and ready for action.


---

# 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://loomilab.gitbook.io/loomilab/getting-started/quickstart.md?ask=<question>
```

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.