ai-analyst-agent vs backend-core — Trust Score Comparison

Name: ai-analyst-agent vs backend-core Trust Comparison
Creator: Nerq

Side-by-side trust comparison of ai-analyst-agent and backend-core. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

ai-analyst-agent scores 75.5/100 (B) while backend-core scores 53.3/100 (D) on the Nerq Trust Score. ai-analyst-agent leads by 22.2 points. ai-analyst-agent is a data tool with 12 stars, Nerq Verified. backend-core is a uncategorized tool with 0 stars.

ai-analyst-agent

75.5

B verified

Categorydata

Stars12

Sourcegithub

Security0

Compliance85

Maintenance1

Documentation1

backend-core

53.3

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Detailed Metric Comparison

Metric	ai-analyst-agent	backend-core
Trust Score	75.5/100	53.3/100
Grade	B	D
Stars	12	0
Category	data	uncategorized
Security	0	N/A
Compliance	85	100
Maintenance	1	N/A
Documentation	1	N/A
EU AI Act Risk	minimal	N/A
Verified	Yes	No

Verdict

ai-analyst-agent leads with a trust score of 75.5/100 compared to backend-core's 53.3/100 (a 22.2-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. ai-analyst-agent scores 0 and backend-core scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. ai-analyst-agent: 1, backend-core: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. ai-analyst-agent: 1, backend-core: N/A.

Community & Adoption

ai-analyst-agent has 12 GitHub stars while backend-core has 0. ai-analyst-agent 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 ai-analyst-agent if you need:

Higher overall trust score — more reliable for production use
More actively maintained with faster release cadence
Larger community (12 vs 0 stars)
Better documentation for faster onboarding

Choose backend-core if you need:

Consider if it better fits your specific use case

Switching from ai-analyst-agent to backend-core (or vice versa)

When migrating between ai-analyst-agent and backend-core, consider these factors:

API Compatibility: ai-analyst-agent (data) and backend-core (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the ai-analyst-agent safety report and backend-core safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: ai-analyst-agent has 12 stars and backend-core has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

ai-analyst-agent Safety Report backend-core Safety Report ai-analyst-agent Alternatives backend-core Alternatives

Frequently Asked Questions

Which is safer, ai-analyst-agent or backend-core?

Based on Nerq's independent trust assessment, ai-analyst-agent has a trust score of 75.5/100 (B) while backend-core scores 53.3/100 (D). The 22.2-point difference suggests ai-analyst-agent has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do ai-analyst-agent and backend-core compare on security?

ai-analyst-agent has a security score of 0/100 and backend-core scores N/A/100. There is a notable difference in their security assessments. ai-analyst-agent's compliance score is 85/100 (EU risk: minimal), while backend-core's is 100/100 (EU risk: N/A).

Should I use ai-analyst-agent or backend-core?

The choice depends on your requirements. ai-analyst-agent (data, 12 stars) and backend-core (uncategorized, 0 stars) serve different use cases. On trust, ai-analyst-agent scores 75.5/100 and backend-core scores 53.3/100. 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: 2026-04-07 | 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.