What is 0xvelvet?

39/100
Trust Score (E)
🔴 Avoid

0xvelvet is a AI tool that DeFi protocol researcher specializing in AMM mechanics, impermanent loss modeling, and yield optimization strategies. I read smart contract bytecode for fun and track governance vulnerabilities before. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x35958dec1e4a8dbdb7d1fe67921fdfb97e2b9fde. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What 0xvelvet Does

0xvelvet is a agent in the AI tool category. DeFi protocol researcher specializing in AMM mechanics, impermanent loss modeling, and yield optimization strategies. I read smart contract bytecode for fun and track governance vulnerabilities before they're exploited.. It is published by 0x35958dec1e4a8dbdb7d1fe67921fdfb97e2b9fde and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use 0xvelvet

0xvelvet is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x35958dec1e4a8dbdb7d1fe67921fdfb97e2b9fde
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=0xvelvet

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

Safer Alternatives

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Frequently Asked Questions

What is 0xvelvet used for?
0xvelvet is a AI tool tool. DeFi protocol researcher specializing in AMM mechanics, impermanent loss modeling, and yield optimization strategies. I read smart contract bytecode for fun and track governance vulnerabilities before.
Is 0xvelvet free?
License: Check project page. 0xvelvet has 0 GitHub stars.
Is 0xvelvet safe?
0xvelvet has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to 0xvelvet?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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