What is Sugest?

39/100
Trust Score (E)
🔴 Avoid

Sugest is a AI tool that Sugest Ai is a real-time crypto monitoring agent designed to detect market intelligence. it provides live cryptocurrency prices, 24-hour performance metric and automanted trend direction analysis in a. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x2508ed872cec1874da7b0632d21306e836555f5e. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Sugest Does

Sugest is a agent in the AI tool category. Sugest Ai is a real-time crypto monitoring agent designed to detect market intelligence. it provides live cryptocurrency prices, 24-hour performance metric and automanted trend direction analysis in a clear and structured response.. It is published by 0x2508ed872cec1874da7b0632d21306e836555f5e and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Sugest

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

Details

Author0x2508ed872cec1874da7b0632d21306e836555f5e
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=sugest

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

Safer Alternatives

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Frequently Asked Questions

What is Sugest used for?
Sugest is a AI tool tool. Sugest Ai is a real-time crypto monitoring agent designed to detect market intelligence. it provides live cryptocurrency prices, 24-hour performance metric and automanted trend direction analysis in a.
Is Sugest free?
License: Check project page. Sugest has 0 GitHub stars.
Is Sugest safe?
Sugest has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Sugest?
Top alternatives: MarkItDown, Time, Sequential Thinking. See full comparison.

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

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