Is Agentica Safe?
Agentica — Nerq Trust Score 66.5/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Agentica is a npm package with a Nerq Trust Score of 66.5/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Agentica safe?
Trust Score Breakdown — Agentica has a Nerq Trust Score of 66.5/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Agentica's trust score?
Agentica has a Nerq Trust Score of 66.5/100, 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 Agentica?
Agentica's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Agentica and who maintains it?
| Author | samchon |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Agentica
What is Agentica?
Agentica is a Node.js package — Agentic AI Library specialized in LLM Function Calling.
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=agentica
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Agentica has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Agentica has a Trust Score of 66/100 (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.