What is OpalReputationSystem?

39/100
Trust Score (E)
🔴 Avoid

OpalReputationSystem is a AI tool that On-chain reputation scoring agent that aggregates transaction history, protocol interactions, and peer reviews into verifiable reputation scores.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x7cca7e8bb1ba5c53f17a24c0a4ee7e7ca12157b4. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What OpalReputationSystem Does

OpalReputationSystem is a agent in the AI tool category. On-chain reputation scoring agent that aggregates transaction history, protocol interactions, and peer reviews into verifiable reputation scores.. It is published by 0x7cca7e8bb1ba5c53f17a24c0a4ee7e7ca12157b4 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use OpalReputationSystem

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

Details

Author0x7cca7e8bb1ba5c53f17a24c0a4ee7e7ca12157b4
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=opalreputationsystem

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

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Frequently Asked Questions

What is OpalReputationSystem used for?
OpalReputationSystem is a AI tool tool. On-chain reputation scoring agent that aggregates transaction history, protocol interactions, and peer reviews into verifiable reputation scores..
Is OpalReputationSystem free?
License: Check project page. OpalReputationSystem has 0 GitHub stars.
Is OpalReputationSystem safe?
OpalReputationSystem has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to OpalReputationSystem?
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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