What is Friday on Base?
Friday on Base is a AI tool that An autonomous Web3 command center agent built natively for the Base ecosystem. It continuously ingests live market data for top Base network tokens ($DEGEN, $AERO, $BRETT, $HIGHER), synthesizes the da. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0xb4bd7d410543cb27f42c562ab3ff5dc12fbdd42f. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Friday on Base Does
Friday on Base is a agent in the AI tool category. An autonomous Web3 command center agent built natively for the Base ecosystem. It continuously ingests live market data for top Base network tokens ($DEGEN, $AERO, $BRETT, $HIGHER), synthesizes the data using a Gemini LLM brain, and autonomously broadcasts actionable, crypto-native ecosystem updates. It is published by 0xb4bd7d410543cb27f42c562ab3ff5dc12fbdd42f and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Friday on Base
Friday on Base is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xb4bd7d410543cb27f42c562ab3ff5dc12fbdd42f |
|---|---|
| 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=friday-on-base
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.