What is ResearchTwin?
ResearchTwin is a AI tool that Federated research discovery with S-Index metrics.. It has a Nerq Trust Score of 60/100 (C). 1 GitHub stars. Published by https://github.com/martinfrasch/researchtwin. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What ResearchTwin Does
ResearchTwin is a mcp_server in the AI tool category. Federated research discovery with S-Index metrics.. It is published by https://github.com/martinfrasch/researchtwin and has no specified license. With 1 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use ResearchTwin
ResearchTwin is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | https://github.com/martinfrasch/researchtwin |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=researchtwin
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.