Is Agenticaiframework Safe?
Use Agenticaiframework with some caution. Agenticaiframework is a Python package with a Nerq Trust Score of 65.8/100 (B-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-26. Machine-readable data (JSON).
Is Agenticaiframework safe?
CAUTION — Agenticaiframework has a Nerq Trust Score of 65.8/100 (B-). 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.
Trust Score Breakdown
Key Findings
Details
| Author | Unknown |
| Category | pypi |
| Source | N/A |
Safety Guide: Agenticaiframework
What is Agenticaiframework?
Agenticaiframework is a Python package — AgenticAI - Enterprise-grade Python SDK with advanced orchestration, monitoring, and production-ready AI agent capabilities..
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=agenticaiframework
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agenticaiframework has a Nerq Trust Score of 66/100 (B-) 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
- Agenticaiframework has a Trust Score of 66/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Agenticaiframework safe to use?
What is Agenticaiframework's trust score?
What are safer alternatives to Agenticaiframework?
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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.