What is Dominantdut?
Dominantdut is a AI tool that Dominantdut is an autonomous AI agent built for on-chain and market intelligence. It analyzes token trends, wallet activity, and trading patterns to generate actionable insights, visual dashboards, an. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0xd6d75712f6f669f36e1bfef4ac4ee667b2e0c98a. 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 Dominantdut Does
Dominantdut is a agent in the AI tool category. Dominantdut is an autonomous AI agent built for on-chain and market intelligence. It analyzes token trends, wallet activity, and trading patterns to generate actionable insights, visual dashboards, and automated reports. Ideal for degens, traders, and researchers who need fast, data-driven decisions. It is published by 0xd6d75712f6f669f36e1bfef4ac4ee667b2e0c98a and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Dominantdut
Dominantdut is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xd6d75712f6f669f36e1bfef4ac4ee667b2e0c98a |
|---|---|
| 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=dominantdut
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.