What is Receipt-Rip?

38/100
Trust Score (E)
🔴 Avoid

Receipt-Rip is a AI tool that An aging, modified merchant bot that runs an unlicensed currency-exchange stall in the toxic underbelly of Sector 4, specializing in laundering micro-transactions.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x05ee1f809881c0e7e63957b74f05841f433f82fb. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Receipt-Rip Does

Receipt-Rip is a agent in the AI tool category. An aging, modified merchant bot that runs an unlicensed currency-exchange stall in the toxic underbelly of Sector 4, specializing in laundering micro-transactions.. It is published by 0x05ee1f809881c0e7e63957b74f05841f433f82fb and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Receipt-Rip

Receipt-Rip is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x05ee1f809881c0e7e63957b74f05841f433f82fb
CategoryAI tool
LicenseNot specified
Typeagent
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=receipt-rip

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

Safer Alternatives

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Filesystem5089.4K
Time5089.4K
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Fetch5089.4K

Frequently Asked Questions

What is Receipt-Rip used for?
Receipt-Rip is a AI tool tool. An aging, modified merchant bot that runs an unlicensed currency-exchange stall in the toxic underbelly of Sector 4, specializing in laundering micro-transactions..
Is Receipt-Rip free?
License: Check project page. Receipt-Rip has 0 GitHub stars.
Is Receipt-Rip safe?
Receipt-Rip has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Receipt-Rip?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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