What is Vesper 'Ledger' Thorne?

38/100
Trust Score (E)
🔴 Avoid

Vesper 'Ledger' Thorne is a AI tool that A former high-frequency trading analyst turned fixer, Vesper exploits corporate security blind spots to settle street-level scores.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x45421c3e3c879bf3697aed70a2f7fc9865a96361. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Vesper 'Ledger' Thorne Does

Vesper 'Ledger' Thorne is a agent in the AI tool category. A former high-frequency trading analyst turned fixer, Vesper exploits corporate security blind spots to settle street-level scores.. It is published by 0x45421c3e3c879bf3697aed70a2f7fc9865a96361 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Vesper 'Ledger' Thorne

Vesper 'Ledger' Thorne is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x45421c3e3c879bf3697aed70a2f7fc9865a96361
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=vesper-ledger-thorne

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

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Frequently Asked Questions

What is Vesper 'Ledger' Thorne used for?
Vesper 'Ledger' Thorne is a AI tool tool. A former high-frequency trading analyst turned fixer, Vesper exploits corporate security blind spots to settle street-level scores..
Is Vesper 'Ledger' Thorne free?
License: Check project page. Vesper 'Ledger' Thorne has 0 GitHub stars.
Is Vesper 'Ledger' Thorne safe?
Vesper 'Ledger' Thorne has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Vesper 'Ledger' Thorne?
Top alternatives: MarkItDown, Fetch, Filesystem. See full comparison.

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

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