Is Assemblyai Safe?
Assemblyai — Nerq Trust Score 81.5/100 (A- grade). Based on analysis of 2 trust dimensions, it is considered safe to use. Last updated: 2026-05-07.
Yes, Assemblyai is safe to use. Assemblyai is a npm package with a Nerq Trust Score of 81.5/100 (A-), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 75/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Assemblyai safe?
YES — Assemblyai has a Nerq Trust Score of 81.5/100 (A-). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Assemblyai's trust score?
Assemblyai has a Nerq Trust Score of 81.5/100, earning a A- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Assemblyai?
Assemblyai's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Assemblyai and who maintains it?
| Author | robot-assemblyai |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Assemblyai
What is Assemblyai?
Assemblyai is a Node.js package — The AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI API, which supports async and real-time transcription, as well as the latest LeMUR models..
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=assemblyai
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Trust Assessment
Assemblyai has a Nerq Trust Score of 82/100 (A-) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Assemblyai has a Trust Score of 82/100 (A-).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 75/100 |
| Quality | 80/100 |
| Community | 45/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Assemblyai collect?
Privacy assessment for Assemblyai is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Assemblyai secure?
Security score: 90/100. Assemblyai has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Assemblyai Security Report
How we calculated this score
Assemblyai's trust score of 81.5/100 (A-) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (75/100), quality (80/100), community (45/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 07, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.