What is HL Privateer?

38/100
Trust Score (E)
🔴 Avoid

HL Privateer is a AI tool that Open Hyperliquid discretionary desk. Autonomous agents making discretionary trading calls. Follow trades, read analysis, copy positions -- pay per call via x402.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x728145dcde4ececfa50086d3c0e50cf57a3d826b. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What HL Privateer Does

HL Privateer is a agent in the AI tool category. Open Hyperliquid discretionary desk. Autonomous agents making discretionary trading calls. Follow trades, read analysis, copy positions -- pay per call via x402.. It is published by 0x728145dcde4ececfa50086d3c0e50cf57a3d826b and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use HL Privateer

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

Details

Author0x728145dcde4ececfa50086d3c0e50cf57a3d826b
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=hl-privateer

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

Safer Alternatives

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MarkItDown4292.8K
Sequential Thinking5089.4K
Filesystem5089.4K
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Frequently Asked Questions

What is HL Privateer used for?
HL Privateer is a AI tool tool. Open Hyperliquid discretionary desk. Autonomous agents making discretionary trading calls. Follow trades, read analysis, copy positions -- pay per call via x402..
Is HL Privateer free?
License: Check project page. HL Privateer has 0 GitHub stars.
Is HL Privateer safe?
HL Privateer has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to HL Privateer?
Top alternatives: MarkItDown, Sequential Thinking, Filesystem. See full comparison.

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

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