What is It Takes Two?

50/100
Trust Score (C-)
⚠️ Use Caution

It Takes Two is a steam that Embark on the craziest journey of your life in It Takes Two. Invite a friend to join for free with Friend’s Pass and work together across a huge variety of gleefully disruptive gameplay challenges. Wi. It has a Nerq Trust Score of 50/100 (C-). 0 GitHub stars. Published by Hazelight Studios. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
0
STARS
0
DOWNLOADS

What It Takes Two Does

It Takes Two is a steam in the steam category. Embark on the craziest journey of your life in It Takes Two. Invite a friend to join for free with Friend’s Pass and work together across a huge variety of gleefully disruptive gameplay challenges. Winner of GAME OF THE YEAR at the Game Awards 2021.. It is published by Hazelight Studios and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use It Takes Two

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

Details

AuthorHazelight Studios
Categorysteam
LicenseNot specified
Typesteam
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=it-takes-two

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

Frequently Asked Questions

What is It Takes Two used for?
It Takes Two is a steam tool. Embark on the craziest journey of your life in It Takes Two. Invite a friend to join for free with Friend’s Pass and work together across a huge variety of gleefully disruptive gameplay challenges. Wi.
Is It Takes Two free?
License: Check project page. It Takes Two has 0 GitHub stars.
Is It Takes Two safe?
It Takes Two has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to It Takes Two?
Top alternatives: . See full comparison.

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

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