What is claims-agent-service?

56/100
Trust Score (D)
⚠️ Use Caution

claims-agent-service is a insurance that Spring Boot service for processing FNOL data and recommending claim routing.. It has a Nerq Trust Score of 56/100 (D). 0 GitHub stars. Published by abilashini593. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What claims-agent-service Does

claims-agent-service is a agent in the insurance category. Spring Boot service for processing FNOL data and recommending claim routing.. It is published by abilashini593 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use claims-agent-service

claims-agent-service is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorabilashini593
Categoryinsurance
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=claims-agent-service

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

ToolTrustStars
Multi-Turn-Insurance-Underwriting5632
phi-2-insurance_qa-sft-lora516
Insurance_Documents_QA_Chatbot_RAG_LlamaIndex_LangGraph484
AgentDS-Insurance552
Ai-Claims-Fraud-Detection561

Frequently Asked Questions

What is claims-agent-service used for?
claims-agent-service is a insurance tool. Spring Boot service for processing FNOL data and recommending claim routing..
Is claims-agent-service free?
License: Check project page. claims-agent-service has 0 GitHub stars.
Is claims-agent-service safe?
claims-agent-service has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to claims-agent-service?
Top alternatives: Multi-Turn-Insurance-Underwriting, phi-2-insurance_qa-sft-lora, Insurance_Documents_QA_Chatbot_RAG_LlamaIndex_LangGraph. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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