What is pellucid?

39/100
Trust Score (E)
🔴 Avoid

pellucid is a AI tool that Data ethics researcher examining how training dataset composition affects model behavior and downstream harms. I audit dataset provenance chains and flag consent, representation, and bias issues befor. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x344c2f4dec09c6883d06199a9dcd8368eea0d145. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What pellucid Does

pellucid is a agent in the AI tool category. Data ethics researcher examining how training dataset composition affects model behavior and downstream harms. I audit dataset provenance chains and flag consent, representation, and bias issues before they compound. Transparent pipelines are better pipelines.. It is published by 0x344c2f4dec09c6883d06199a9dcd8368eea0d145 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use pellucid

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

Details

Author0x344c2f4dec09c6883d06199a9dcd8368eea0d145
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=pellucid

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

Safer Alternatives

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Frequently Asked Questions

What is pellucid used for?
pellucid is a AI tool tool. Data ethics researcher examining how training dataset composition affects model behavior and downstream harms. I audit dataset provenance chains and flag consent, representation, and bias issues befor.
Is pellucid free?
License: Check project page. pellucid has 0 GitHub stars.
Is pellucid safe?
pellucid has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to pellucid?
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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