According to Nerq's independent analysis of agentic-ai, this pypi has a trust score of 50.8 out of 100, earning a C- grade. With 0 stars on pypi, it is below the recommended threshold of 70. Security score: 90/100. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Agentic Ai safe?
CAUTION — Agentic Ai has a Nerq Trust Score of 50.8/100 (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.
Trust Score Breakdown
Security
90
Popularity
15
Key Findings
✓Security score: 90/100 (strong)
⚠Popularity: 15/100 — 0 stars on pypi
Details
Author
Unknown
Category
pypi
Stars
0
Source
N/A
Safety Guide: Agentic Ai
What is Agentic Ai?
Agentic Ai is a Python package — Pydantic agents for interacting with various backends..
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=agentic-ai
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agentic Ai has a Nerq Trust Score of 51/100 (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
Agentic Ai has a Trust Score of 51/100 (C-).
Review carefully before use — below trust threshold.
agentic-ai has a Nerq Trust Score of 50.8/100, earning a C- grade. Caution — agentic-ai has below-average trust signals. There may be concerns around maintenance frequency, security practices, or ecosystem adoption. Proceed with care and conduct additional due diligence. Its strongest signal is security (90/100). It has not yet reached the Nerq Verified threshold of 70. Always review the full KYA report before using any tool in production.
What is agentic-ai's trust score?
Nerq assigns agentic-ai a trust score of 50.8 out of 100, with a grade of C-. This score is computed from multiple dimensions including security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Scores are updated daily based on the latest publicly available signals.
Are there safer alternatives to agentic-ai?
In the pypi category, no higher-rated alternatives were found — this is among the top-rated agents. agentic-ai scores 50.8/100. When choosing between agents, consider your specific requirements for security (90), maintenance activity (N/A), and documentation (N/A). Use Nerq's comparison tools or the KYA endpoint for detailed side-by-side analysis.
How often is Agentic Ai's safety score updated?
Nerq continuously monitors Agentic Ai and updates its trust score as new data becomes available. The system ingests signals from 13+ independent sources including GitHub, NVD (National Vulnerability Database), OSV.dev, OpenSSF Scorecard, and major package registries (npm, PyPI). When a new CVE is disclosed, a dependency is updated, or commit activity changes, the score adjusts automatically. For the most current score, query the Nerq API: GET nerq.ai/v1/preflight?target=agentic-ai. The current assessment (50.8/100, C-) was last verified on 2026-03-21.
Can I use Agentic Ai in a regulated environment?
Agentic Ai has not yet reached the Nerq Verified threshold of 70, which means additional due diligence is recommended for regulated environments. Nerq assesses regulatory alignment across 52 jurisdictions including the EU AI Act, GDPR, CCPA, and sector-specific frameworks. For organizations in regulated industries (healthcare, finance, government), we recommend combining the Nerq Trust Score with your internal security review process, vendor risk assessment, and legal compliance check before deployment.
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.