agent-scan vs VortexAI466 — Trust Score Comparison

Side-by-side trust comparison of agent-scan and VortexAI466. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

agent-scan scores 0.0/100 (A) while VortexAI466 scores 47.5/100 (E) on the Nerq Trust Score. VortexAI466 leads by 47.5 points. agent-scan is a infrastructure tool with 1,981 stars. VortexAI466 is a uncategorized tool with 0 stars.
0.0
A
Categoryinfrastructure
Stars1,981
Sourcegithub
Security0
Compliance97
Maintenance1
Documentation1
vs
47.5
E
Categoryuncategorized
Stars0
Sourceerc8004

Detailed Metric Comparison

Metric agent-scan VortexAI466
Trust Score0.0/10047.5/100
GradeAE
Stars1,9810
Categoryinfrastructureuncategorized
Security0N/A
Compliance97N/A
Maintenance1N/A
Documentation1N/A
EU AI Act RiskN/AN/A
VerifiedNoNo

Verdict

VortexAI466 leads with a trust score of 47.5/100 compared to agent-scan's 0.0/100 (a 47.5-point difference). However, agent-scan has stronger community adoption (1,981 vs 0 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. agent-scan scores 0 and VortexAI466 scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. agent-scan: 1, VortexAI466: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. agent-scan: 1, VortexAI466: N/A.

Community & Adoption

agent-scan has 1,981 GitHub stars while VortexAI466 has 0. agent-scan has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose agent-scan if you need:

  • More actively maintained with faster release cadence
  • Larger community (1,981 vs 0 stars)
  • Better documentation for faster onboarding

Choose VortexAI466 if you need:

  • Higher overall trust score — more reliable for production use

Switching from agent-scan to VortexAI466 (or vice versa)

When migrating between agent-scan and VortexAI466, consider these factors:

  1. API Compatibility: agent-scan (infrastructure) and VortexAI466 (uncategorized) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the agent-scan safety report and VortexAI466 safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: agent-scan has 1,981 stars and VortexAI466 has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
agent-scan Safety Report VortexAI466 Safety Report agent-scan Alternatives VortexAI466 Alternatives

Related Pages

Frequently Asked Questions

Which is safer, agent-scan or VortexAI466?
Based on Nerq's independent trust assessment, agent-scan has a trust score of 0.0/100 (A) while VortexAI466 scores 47.5/100 (E). The 47.5-point difference suggests VortexAI466 has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do agent-scan and VortexAI466 compare on security?
agent-scan has a security score of 0/100 and VortexAI466 scores N/A/100. There is a notable difference in their security assessments. agent-scan's compliance score is 97/100 (EU risk: N/A), while VortexAI466's is N/A/100 (EU risk: N/A).
Should I use agent-scan or VortexAI466?
The choice depends on your requirements. agent-scan (infrastructure, 1,981 stars) and VortexAI466 (uncategorized, 0 stars) serve different use cases. On trust, agent-scan scores 0.0/100 and VortexAI466 scores 47.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs N/A), and maintenance activity (1 vs N/A).

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Last updated: 2026-09-22 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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