What is Mail?

62/100
Trust Score (C+)
⚠️ Use Caution

Mail is a ios that Access, view and manage messages from all your email accounts in one place. Categorize your messages into easy to browse categories. Catch up on email easily with Apple Intelligence powered Priority M. It has a Nerq Trust Score of 62/100 (C+). 0 GitHub stars. Published by Apple Inc.. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

62
TRUST SCORE
C+
GRADE
0
STARS
0
DOWNLOADS

What Mail Does

Mail is a ios in the ios category. Access, view and manage messages from all your email accounts in one place. Categorize your messages into easy to browse categories. Catch up on email easily with Apple Intelligence powered Priority Messages and summarizations. Manage your inbox by scheduling emails to send later, snoozing emails you want to get back to later and unsend an email in one tap. Features • Access email from iCloud, . It is published by Apple Inc. and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Mail

Mail is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorApple Inc.
Categoryios
LicenseNot specified
Typeios
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=mail

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is Mail used for?
Mail is a ios tool. Access, view and manage messages from all your email accounts in one place. Categorize your messages into easy to browse categories. Catch up on email easily with Apple Intelligence powered Priority M.
Is Mail free?
License: Check project page. Mail has 0 GitHub stars.
Is Mail safe?
Mail has a Nerq Trust Score of 62/100 (C+). Use with caution.
What are alternatives to Mail?
Top alternatives: . See full comparison.

Last updated April 2026. Trust scores based on automated analysis of public data.

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