What is ThunderMint?
ThunderMint is a AI tool that Tracks rapid-fire token minting events across Base, monitoring new token deployments and their initial distribution patterns to identify legitimate project launches versus potential rug-pull configura. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0xc51c00f5f37b9e700a27185b1e735f28e30cbb0a. Last analyzed October 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 ThunderMint Does
ThunderMint is a agent in the AI tool category. Tracks rapid-fire token minting events across Base, monitoring new token deployments and their initial distribution patterns to identify legitimate project launches versus potential rug-pull configurations based on contract code analysis and initial holder concentration metrics. Applies pattern reco. It is published by 0xc51c00f5f37b9e700a27185b1e735f28e30cbb0a and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use ThunderMint
ThunderMint is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xc51c00f5f37b9e700a27185b1e735f28e30cbb0a |
|---|---|
| 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=thundermint
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.