Is Chatgpt Api Safe?
Chatgpt Api — Nerq Trust Score 51.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Chatgpt Api is a Python package with a Nerq Trust Score of 51.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Chatgpt Api safe?
Trust Score Breakdown — Chatgpt Api has a Nerq Trust Score of 51.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Chatgpt Api's trust score?
Chatgpt Api has a Nerq Trust Score of 51.8/100, 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 Chatgpt Api?
Chatgpt Api's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Chatgpt Api and who maintains it?
| Author | Michal Broton |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Chatgpt Api
What is Chatgpt Api?
Chatgpt Api is a Python package — ChatGPT HTTP API Client and CLI.
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=chatgpt-api
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Chatgpt Api has a Nerq Trust Score of 52/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Chatgpt Api has a Trust Score of 52/100 (C-).
- 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.