What is insurance-multi-agent?
67/100
Trust Score (C)
⚠️ Use Caution
insurance-multi-agent is a finance that An AI agent. It has a Nerq Trust Score of 67/100 (C). 24 GitHub stars. Published by Unknown. Last analyzed June 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 24 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
67
TRUST SCORE
C
GRADE
24
STARS
0
DOWNLOADS
What insurance-multi-agent Does
insurance-multi-agent is a agent in the finance category. An AI agent. It is published by an independent developer and has no specified license. With 24 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use insurance-multi-agent
insurance-multi-agent is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | finance |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=alisoliman-insurance-multi-agent
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| OpenBB | 63 | 61.0K |
| qlib | 69 | 37.6K |
| TradingAgents | 64 | 30.3K |
| TradingAgents-CN | 62 | 17.2K |
| dexter | 67 | 16.4K |
Frequently Asked Questions
What is insurance-multi-agent used for?
insurance-multi-agent is a finance tool. An AI agent.
Is insurance-multi-agent free?
License: Check project page. insurance-multi-agent has 24 GitHub stars.
Is insurance-multi-agent safe?
insurance-multi-agent has a Nerq Trust Score of 67/100 (C). Use with caution.
What are alternatives to insurance-multi-agent?
Top alternatives: OpenBB, qlib, TradingAgents. See full comparison.
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Last updated June 2026. Trust scores based on automated analysis of public data.