Is Xama Baileys Safe?
Xama Baileys — Nerq Trust Score 46.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Xama Baileys is a npm package with a Nerq Trust Score of 46.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Xama Baileys safe?
Trust Score Breakdown — Xama Baileys has a Nerq Trust Score of 46.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Xama Baileys's trust score?
Xama Baileys has a Nerq Trust Score of 46.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Xama Baileys?
Xama Baileys's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Xama Baileys and who maintains it?
| Author | officecom |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Xama Baileys
What is Xama Baileys?
Xama Baileys is a Node.js package — Xama WhatsApp API.
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=xama-baileys
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Xama Baileys has a Nerq Trust Score of 46/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Xama Baileys has a Trust Score of 46/100 (D).
- 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.