Is Ogx Api Safe?
Ogx Api — Nerq Trust Score 67.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Ogx Api is a Python package with a Nerq Trust Score of 67.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Ogx Api safe?
Trust Score Breakdown — Ogx Api has a Nerq Trust Score of 67.2/100 (B-). Measured across 2 independent trust signals (as of 2026-11-01).
What is Ogx Api's trust score?
Ogx Api has a Nerq Trust Score of 67.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Ogx Api?
Ogx Api's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Ogx Api and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Ogx Api
What is Ogx Api?
Ogx Api is a Python package — API and Provider specifications for OGX - lightweight package with protocol definitions and provider specs.
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=ogx-api
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Ogx Api has a Nerq Trust Score of 67/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Ogx Api has a Trust Score of 67/100 (B-).
- 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.