Is Audit Ai Safe?
Audit Ai — Nerq Trust Score 55.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Audit Ai is a Python package with a Nerq Trust Score of 55.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Audit Ai safe?
Trust Score Breakdown — Audit Ai has a Nerq Trust Score of 55.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Audit Ai's trust score?
Audit Ai has a Nerq Trust Score of 55.0/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Audit Ai?
Audit Ai's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Audit Ai and who maintains it?
| Author | pymetrics Data Team |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Audit Ai
What is Audit Ai?
Audit Ai is a Python package — audit-AI detects demographic differences in the output of machine learning models or other assessments.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=audit-AI
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Audit Ai has a Nerq Trust Score of 55/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Audit Ai has a Trust Score of 55/100 (C).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.