Is Agentra Safe?
Agentra — Nerq Trust Score 61.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Agentra is a npm package with a Nerq Trust Score of 61.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Agentra safe?
Trust Score Breakdown — Agentra has a Nerq Trust Score of 61.0/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Agentra's trust score?
Agentra has a Nerq Trust Score of 61.0/100, 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 Agentra?
Agentra's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Agentra and who maintains it?
| Author | saisreesatyassss |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Agentra
What is Agentra?
Agentra is a Node.js package — Agentra – Personal AI Assistant with Multi-Channel Support by Sai Sree Satya.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=agentra
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Agentra has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Agentra has a Trust Score of 61/100 (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.