Is Ai Cache Safe?
Ai Cache — Nerq Trust Score 56.0/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-05.
Use Ai Cache with some caution. Ai Cache is a Python package with a Nerq Trust Score of 56.0/100 (C), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Machine-readable data (JSON).
Is Ai Cache safe?
CAUTION — Ai Cache has a Nerq Trust Score of 56.0/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Ai Cache's trust score?
Ai Cache has a Nerq Trust Score of 56.0/100, 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 Ai Cache?
Ai Cache's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Ai Cache and who maintains it?
| Author | Unknown |
| Category | pypi |
| Source | N/A |
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Safety Guide: Ai Cache
What is Ai Cache?
Ai Cache is a Python package — Lightweight automatic caching for LLM API responses.
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=ai-cache
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Ai Cache has a Nerq Trust Score of 56/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Ai Cache has a Trust Score of 56/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.