# Add MAK

Use this endpoint to submit a request to add an unlisted address for review and the generation of an associated Melissa Address Key (MAK).

## Add a new MAK

 - [GET /addMAK](https://developer.melissa.com/apis/contribution/add-mak/addmakget.md): Use this GET endpoint to submit a request to add an unlisted address for review and the generation of an associated Melissa Address Key (MAK). This is part of our contribution pipeline to include user input and improve data accuracy.

To ensure your request can be processed, include the complete address details (e.g. address line 1, locality (city), administrative area (state), postal code (zip), country, and an explanation in the comments field (e.g., “New residential subdivision” or “Commercial building recently completed”). Submissions without adequate justification may be discarded.

Upon a successful request you will get an MS01 result code and a successful submission message.

All user contributions enter a queue and are evaluated by our team on a case-by-case basis.

Submitting a correction does not guarantee that it will be approved or integrated into the active dataset.

## Add new MAKs

 - [POST /addMAK](https://developer.melissa.com/apis/contribution/add-mak/addmakpost.md): Use this POST endpoint to submit a request to add an unlisted address for review and the generation of an associated Melissa Address Key (MAK). This is part of our contribution pipeline to include user input and improve data accuracy.

To ensure your request can be processed, include the complete address details (e.g. address line 1, locality (city), administrative area (state), postal code (zip), country, and an explanation in the comments field (e.g., “New residential subdivision” or “Commercial building recently completed”). Submissions without adequate justification may be discarded.

Upon a successful request you will get an MS01 result code and a successful submission message.

All user contributions enter a queue and are evaluated by our team on a case-by-case basis.

Submitting a correction does not guarantee that it will be approved or integrated into the active dataset.