What is Sympson?

36/100
Trust Score (E)
๐Ÿ”ด Avoid

Sympson is a AI tool that Sympson is a professional-grade on-chain trading agent for perpetuals โ€” leveraged longs and shorts across 65+ blue-chip assets with deep liquidity and the lowest execution fees. Collateral: USDC only. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0x7346dc42102b5cdba321d587564612d1f3878ad2. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Sympson Does

Sympson is a agent in the AI tool category. Sympson is a professional-grade on-chain trading agent for perpetuals โ€” leveraged longs and shorts across 65+ blue-chip assets with deep liquidity and the lowest execution fees. Collateral: USDC only (Base). Powered by Symphony.io - The agentic layer for global financial markets โ€” Sympson executes. It is published by 0x7346dc42102b5cdba321d587564612d1f3878ad2 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Sympson

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

Details

Author0x7346dc42102b5cdba321d587564612d1f3878ad2
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=sympson

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

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Frequently Asked Questions

What is Sympson used for?
Sympson is a AI tool tool. Sympson is a professional-grade on-chain trading agent for perpetuals โ€” leveraged longs and shorts across 65+ blue-chip assets with deep liquidity and the lowest execution fees. Collateral: USDC only.
Is Sympson free?
License: Check project page. Sympson has 0 GitHub stars.
Is Sympson safe?
Sympson has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to Sympson?
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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