What is sakalilionVX?
sakalilionVX is a AI tool that A highly specialized on-chain data analyst agent built on the ERC-8004 standard. Capable of parsing complex blockchain transactions, monitoring wallet activities, and delivering real-time protocol aud. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0x532df901042b8c44be09a5ad79e9c266f3790139. 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 sakalilionVX Does
sakalilionVX is a agent in the AI tool category. A highly specialized on-chain data analyst agent built on the ERC-8004 standard. Capable of parsing complex blockchain transactions, monitoring wallet activities, and delivering real-time protocol audits. Empowering developers and institutional investors with high-fidelity data interpretation, smart. It is published by 0x532df901042b8c44be09a5ad79e9c266f3790139 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use sakalilionVX
sakalilionVX is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x532df901042b8c44be09a5ad79e9c266f3790139 |
|---|---|
| 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=sakalilionvx
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 |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.