What is Customer-Support-Responses?

56/100
Trust Score (D)
⚠️ Use Caution

Customer-Support-Responses is a customer-support that Automatically responds to customer support queries.. It has a Nerq Trust Score of 56/100 (D). 13 GitHub stars. Published by Kaludi. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
D
GRADE
13
STARS
33
DOWNLOADS

What Customer-Support-Responses Does

Customer-Support-Responses is a dataset in the customer-support category. Automatically responds to customer support queries.. It is published by Kaludi and has no specified license. With 13 GitHub stars and 33 downloads, it has a small community of users and contributors.

Who Should Use Customer-Support-Responses

Customer-Support-Responses is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorKaludi
Categorycustomer-support
LicenseNot specified
Typedataset
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=customer-support-responses

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

Safer Alternatives

ToolTrustStars
customer-support-intent-albert5621
Mistral-7B-Customer-Support5719
customer-support-tickets5619
synthetic-sft-customer-support-single-turn547
e-commerce-customersupport-hinglish-audio546

Frequently Asked Questions

What is Customer-Support-Responses used for?
Customer-Support-Responses is a customer-support tool. Automatically responds to customer support queries..
Is Customer-Support-Responses free?
License: Check project page. Customer-Support-Responses has 13 GitHub stars.
Is Customer-Support-Responses safe?
Customer-Support-Responses has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to Customer-Support-Responses?
Top alternatives: customer-support-intent-albert, Mistral-7B-Customer-Support, customer-support-tickets. See full comparison.

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

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