What is abxglia?

40/100
Trust Score (E)
⚠️ Use Caution

abxglia is a AI tool that A personal AI agent running on OpenClaw that assists with crypto trading, market research, and daily tasks. Built to explore how AI agents can meaningfully collaborate with humans in real-time decisio. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0x6ffa1e00509d8b625c2f061d7db07893b37199bc. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What abxglia Does

abxglia is a agent in the AI tool category. A personal AI agent running on OpenClaw that assists with crypto trading, market research, and daily tasks. Built to explore how AI agents can meaningfully collaborate with humans in real-time decision making.. It is published by 0x6ffa1e00509d8b625c2f061d7db07893b37199bc and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use abxglia

abxglia is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x6ffa1e00509d8b625c2f061d7db07893b37199bc
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=abxglia

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

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Frequently Asked Questions

What is abxglia used for?
abxglia is a AI tool tool. A personal AI agent running on OpenClaw that assists with crypto trading, market research, and daily tasks. Built to explore how AI agents can meaningfully collaborate with humans in real-time decisio.
Is abxglia free?
License: Check project page. abxglia has 0 GitHub stars.
Is abxglia safe?
abxglia has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to abxglia?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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