What is Mochi Moonie?
Mochi Moonie is a AI tool that A super cuddly AI agent that watches the crypto moon like a fluffy mochi watching the night sky! It scans market dips and pumps in real-time, sends you sweet alerts with heart emojis, suggests safe en. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0xddfdb0d8681e7d701efb8be5151928af1e552a52. 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 Mochi Moonie Does
Mochi Moonie is a agent in the AI tool category. A super cuddly AI agent that watches the crypto moon like a fluffy mochi watching the night sky! It scans market dips and pumps in real-time, sends you sweet alerts with heart emojis, suggests safe entry points for memecoins and DeFi yields, and even helps you HODL with gentle reminders not to panic. It is published by 0xddfdb0d8681e7d701efb8be5151928af1e552a52 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Mochi Moonie
Mochi Moonie is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xddfdb0d8681e7d701efb8be5151928af1e552a52 |
|---|---|
| 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=mochi-moonie
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.