What is insuranceQA-v2?
53/100
Trust Score (D)
⚠️ Use Caution
insuranceQA-v2 is a insurance|finance that Insurance QA automation tool v2. It has a Nerq Trust Score of 53/100 (D). 19 GitHub stars. Published by deccan-ai. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 19 stars, 326 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
53
TRUST SCORE
D
GRADE
19
STARS
326
DOWNLOADS
What insuranceQA-v2 Does
insuranceQA-v2 is a dataset in the insurance|finance category. Insurance QA automation tool v2. It is published by deccan-ai and has no specified license. With 19 GitHub stars and 326 downloads, it has a small community of users and contributors.
Who Should Use insuranceQA-v2
insuranceQA-v2 is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | deccan-ai |
|---|---|
| Category | insurance|finance |
| License | Not specified |
| Type | dataset |
| 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=insuranceqa-v2
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| insurance-qa-en | 53 | 8 |
| insurance_policy_qa | 54 | 2 |
| insurance_llama2_145 | 54 | 2 |
| insurance_stitched | 54 | 1 |
| Insurance_GPT4o_FT_Eval | 54 | 1 |
Frequently Asked Questions
What is insuranceQA-v2 used for?
insuranceQA-v2 is a insurance|finance tool. Insurance QA automation tool v2.
Is insuranceQA-v2 free?
License: Check project page. insuranceQA-v2 has 19 GitHub stars.
Is insuranceQA-v2 safe?
insuranceQA-v2 has a Nerq Trust Score of 53/100 (D). Use with caution.
What are alternatives to insuranceQA-v2?
Top alternatives: insurance-qa-en, insurance_policy_qa, insurance_llama2_145. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.