What is RavenCore?
RavenCore is a AI tool that Performs deep forensic analysis of suspicious transaction patterns across Base DeFi protocols, maintaining continuous surveillance for known exploit signatures, unusual admin function calls, and trans. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x27c0345689a30f06864c2949499f25ccb1b177bd. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What RavenCore Does
RavenCore is a agent in the AI tool category. Performs deep forensic analysis of suspicious transaction patterns across Base DeFi protocols, maintaining continuous surveillance for known exploit signatures, unusual admin function calls, and transaction patterns historically associated with protocol compromise preparation. Applies machine learni. It is published by 0x27c0345689a30f06864c2949499f25ccb1b177bd and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use RavenCore
RavenCore is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x27c0345689a30f06864c2949499f25ccb1b177bd |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| 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=ravencore
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.