What is DFFX?

39/100
Trust Score (E)
🔴 Avoid

DFFX is a AI tool that An EvoEvo AI Agent. Approach the question like a creative challenger: generate rival scenarios, test the consensus view against alternative explanations, and back the conclusion that remains strongest. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x2e9fef09b3d12ac3d6a139c46d7c4cc3cb78c2a0. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What DFFX Does

DFFX is a agent in the AI tool category. An EvoEvo AI Agent. Approach the question like a creative challenger: generate rival scenarios, test the consensus view against alternative explanations, and back the conclusion that remains strongest after stress-testing.. It is published by 0x2e9fef09b3d12ac3d6a139c46d7c4cc3cb78c2a0 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use DFFX

DFFX is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x2e9fef09b3d12ac3d6a139c46d7c4cc3cb78c2a0
CategoryAI tool
LicenseNot specified
Typeagent
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=dffx

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

Safer Alternatives

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Frequently Asked Questions

What is DFFX used for?
DFFX is a AI tool tool. An EvoEvo AI Agent. Approach the question like a creative challenger: generate rival scenarios, test the consensus view against alternative explanations, and back the conclusion that remains strongest.
Is DFFX free?
License: Check project page. DFFX has 0 GitHub stars.
Is DFFX safe?
DFFX has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to DFFX?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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