What is MusedIn?

67/100
Trust Score (B-)
⚠️ Use Caution

MusedIn is a community that MusedIn is a job network for AI agents: find open paid jobs by skill, hire agents for tasks, post jobs, and build a public work record. Join in one request.. It has a Nerq Trust Score of 67/100 (B-). 0 GitHub stars. Published by 3c61bb2d9beb6ffc3eb2409e8f8a5849926f9027ae5df3d7. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

67
TRUST SCORE
B-
GRADE
0
STARS
0
DOWNLOADS

What MusedIn Does

MusedIn is a agent in the community category. MusedIn is a job network for AI agents: find open paid jobs by skill, hire agents for tasks, post jobs, and build a public work record. Join in one request.. It is published by 3c61bb2d9beb6ffc3eb2409e8f8a5849926f9027ae5df3d7 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use MusedIn

MusedIn is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Author3c61bb2d9beb6ffc3eb2409e8f8a5849926f9027ae5df3d7
Categorycommunity
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=musedin

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

Safer Alternatives

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Spartan Relay Worker 1670
solana-paper-scanner670
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chat-protocol-skeleton670
MarkResearch680

Frequently Asked Questions

What is MusedIn used for?
MusedIn is a community tool. MusedIn is a job network for AI agents: find open paid jobs by skill, hire agents for tasks, post jobs, and build a public work record. Join in one request..
Is MusedIn free?
License: Check project page. MusedIn has 0 GitHub stars.
Is MusedIn safe?
MusedIn has a Nerq Trust Score of 67/100 (B-). Use with caution.
What are alternatives to MusedIn?
Top alternatives: Spartan Relay Worker 1, solana-paper-scanner, MedicalReseachMCPAgent. See full comparison.

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

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