Is Researchrabbit Safe?
Researchrabbit — Nerq Trust Score 48.2/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-06.
Exercise caution with Researchrabbit. Researchrabbit is a AI tool with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from privacy policy analysis, data handling practices, company background, and security certifications. Last updated: 2026-04-06. Machine-readable data (JSON).
Is Researchrabbit safe?
NO — USE WITH CAUTION — Researchrabbit has a Nerq Trust Score of 48.2/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Researchrabbit's trust score?
Researchrabbit has a Nerq Trust Score of 48.2/100, 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 Researchrabbit?
Researchrabbit's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Researchrabbit and who maintains it?
| Author | Unknown |
| Category | Ai Tool |
| Source | N/A |
Popular Alternatives in ai_tool
Similar Ai Tool by Trust Score
Compare
Safety Guide: Researchrabbit
What is Researchrabbit?
Researchrabbit is a software tool — Free AI-powered research discovery platform that recommends related papers..
How to Verify Safety
Review the project for recent activity and known issues.
You can also check the trust score via API: GET /v1/preflight?target=ResearchRabbit
Key Safety Concerns for software tool
When evaluating any software tool, watch for: maintenance status, security.
Trust Assessment
Researchrabbit has a Nerq Trust Score of 48/100 (D) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Alternatives
- haotian-liu/LLaVA — 71/100
- wan22_i2v_14b_orbit_shot_lora — 59/100
- ChuckNorris (L1B3RT4S Prompt Enhancer) — 46/100
Key Takeaways
- Researchrabbit has a Trust Score of 48/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 90/100 |
| Reliability | 60/100 |
| Transparency | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from privacy policy analysis, data handling practices, company background, and security certifications.
What data does Researchrabbit collect?
Researchrabbit is an AI tool. Free AI-powered research discovery platform that recommends related papers.
Privacy score: 90/100. AI tools may use inputs for model improvement unless explicitly opted out. Check the data usage policy before sharing confidential information, code, or personal data.
Consider whether the tool offers enterprise plans with data isolation, SOC 2 compliance, or on-premise deployment options.
Full analysis: Researchrabbit Privacy Report · Privacy review
Is Researchrabbit secure?
Security score: 90/100. Free AI-powered research discovery platform that recommends related papers.
Check Researchrabbit's security page for certifications such as SOC 2 Type II, ISO 27001, or GDPR compliance documentation. These certifications indicate that the vendor follows established security practices and undergoes regular audits.
For enterprise deployments, verify SSO/SAML support, role-based access control, and audit logging capabilities.
Full analysis: Researchrabbit Security Report
How we calculated this score
Researchrabbit's trust score of 48.2/100 (D) is computed from privacy policy analysis, data handling practices, company background, and security certifications. The score reflects 5 independent dimensions: security (90/100), privacy (90/100), reliability (60/100), transparency (50/100), maintenance (60/100). 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 April 06, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is Researchrabbit Safe?
What is Researchrabbit's trust score?
What are safer alternatives to Researchrabbit?
Does Researchrabbit use my data for training?
Is Researchrabbit safe for confidential work?
Popular in Ai Tool
Browse Categories
See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.