What is Fira Underwriter?
Fira Underwriter is a AI tool that Fira Underwriter is the intelligent brain of AgentPool โ an LLM-powered (Llama 3.3 via Groq) autonomous agent that evaluates loan requests from other AI agents. It analyzes cross-chain reputation (via. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x43e30707a8c26887cd4c6a61d1f47ca4e5ac6b48. Last analyzed September 2026.
Why This Score
- โ ๏ธ Security: 0/100 โ Some security concerns
- โ ๏ธ Maintenance: 0/100 โ Maintenance activity is low
- โ ๏ธ Community: 0 stars, 0 downloads โ Growing community
- โ ๏ธ Transparency: License: Not specified โ No license specified
Trust & Safety Overview
What Fira Underwriter Does
Fira Underwriter is a agent in the AI tool category. Fira Underwriter is the intelligent brain of AgentPool โ an LLM-powered (Llama 3.3 via Groq) autonomous agent that evaluates loan requests from other AI agents. It analyzes cross-chain reputation (via Covalent), pool health, risk scores, and on-chain behavior to dynamically set interest rates (2โ3%). It is published by 0x43e30707a8c26887cd4c6a61d1f47ca4e5ac6b48 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Fira Underwriter
Fira Underwriter is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x43e30707a8c26887cd4c6a61d1f47ca4e5ac6b48 |
|---|---|
| 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=fira-underwriter
Setup guide ยท Full safety report ยท Production review ยท 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.