Is Anomaly Agent Safe?
Anomaly Agent — Nerq Trust Score 62.2/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-12.
Use Anomaly Agent with some caution. Anomaly Agent is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Anomaly Agent safe?
CAUTION — Anomaly Agent has a Nerq Trust Score of 62.2/100 (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 Anomaly Agent's trust score?
Anomaly Agent has a Nerq Trust Score of 62.2/100, 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 Anomaly Agent?
Anomaly Agent'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 Anomaly Agent and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Anomaly Agent Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Anomaly Agent
What is Anomaly Agent?
Anomaly Agent is a Python package — A package for detecting anomalies in time series data using LLMs.
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=anomaly-agent
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Anomaly Agent has a Nerq Trust Score of 62/100 (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
- Anomaly Agent has a Trust Score of 62/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 68/100 |
| Popularity | 30/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Anomaly Agent collect?
Privacy assessment for Anomaly Agent is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Anomaly Agent secure?
Security score: 90/100. Anomaly Agent has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT License Copyright (c) 2025 Andrew Maguire Permission is hereby, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Anomaly Agent Security Report
Anomaly Agent Across Platforms
Same developer/company in other registries:
How we calculated this score
Anomaly Agent's trust score of 62.2/100 (C+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (68/100), popularity (30/100), quality (65/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 12, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON 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.