AgentVibes vs deepscan — Trust Score Comparison

Name: AgentVibes vs deepscan Trust Comparison
Creator: Nerq

Side-by-side trust comparison of AgentVibes and deepscan. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

AgentVibes scores 77.7/100 (B) while deepscan scores 0.0/100 (D) on the Nerq Trust Score. AgentVibes leads by 77.7 points. AgentVibes is a communication tool with 109 stars, Nerq Verified. deepscan is a uncategorized tool with 0 stars.

AgentVibes

77.7

B verified

Categorycommunication

Stars109

Sourcegithub

Security0

Compliance87

Maintenance1

Documentation1

deepscan

0.0

Categoryuncategorized

Stars0

Sourcehuggingface_space_full

Compliance100

Detailed Metric Comparison

Metric	AgentVibes	deepscan
Trust Score	77.7/100	0.0/100
Grade	B	D
Stars	109	0
Category	communication	uncategorized
Security	0	N/A
Compliance	87	100
Maintenance	1	N/A
Documentation	1	N/A
EU AI Act Risk	minimal	N/A
Verified	Yes	No

Verdict

AgentVibes leads with a trust score of 77.7/100 compared to deepscan's 0.0/100 (a 77.7-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. AgentVibes scores 0 and deepscan scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. AgentVibes: 1, deepscan: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. AgentVibes: 1, deepscan: N/A.

Community & Adoption

AgentVibes has 109 GitHub stars while deepscan has 0. AgentVibes 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 AgentVibes if you need:

Higher overall trust score — more reliable for production use
More actively maintained with faster release cadence
Larger community (109 vs 0 stars)
Better documentation for faster onboarding

Choose deepscan if you need:

Consider if it better fits your specific use case

Switching from AgentVibes to deepscan (or vice versa)

When migrating between AgentVibes and deepscan, consider these factors:

API Compatibility: AgentVibes (communication) and deepscan (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the AgentVibes safety report and deepscan safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: AgentVibes has 109 stars and deepscan has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

AgentVibes Safety Report deepscan Safety Report AgentVibes Alternatives deepscan Alternatives

Frequently Asked Questions

Which is safer, AgentVibes or deepscan?

Based on Nerq's independent trust assessment, AgentVibes has a trust score of 77.7/100 (B) while deepscan scores 0.0/100 (D). The 77.7-point difference suggests AgentVibes has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do AgentVibes and deepscan compare on security?

AgentVibes has a security score of 0/100 and deepscan scores N/A/100. There is a notable difference in their security assessments. AgentVibes's compliance score is 87/100 (EU risk: minimal), while deepscan's is 100/100 (EU risk: N/A).

Should I use AgentVibes or deepscan?

The choice depends on your requirements. AgentVibes (communication, 109 stars) and deepscan (uncategorized, 0 stars) serve different use cases. On trust, AgentVibes scores 77.7/100 and deepscan scores 0.0/100. 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: 2026-10-28 | 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.