What is DarwinFi?

39/100
Trust Score (E)
🔴 Avoid

DarwinFi is a AI tool that An autonomous, self-evolving trading agent that uses Darwinian competition between 12 concurrent strategies on Uniswap V3 (Base + Celo). The top-performing strategy trades live on-chain; the rest pape. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xb2db53db9a2349186f0214bc3e1bf08a195570e3. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
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What DarwinFi Does

DarwinFi is a agent in the AI tool category. An autonomous, self-evolving trading agent that uses Darwinian competition between 12 concurrent strategies on Uniswap V3 (Base + Celo). The top-performing strategy trades live on-chain; the rest paper trade and compete to dethrone it. Strategies are evolved by AI (Claude + Venice AI) analyzing perf. It is published by 0xb2db53db9a2349186f0214bc3e1bf08a195570e3 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use DarwinFi

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

Details

Author0xb2db53db9a2349186f0214bc3e1bf08a195570e3
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=darwinfi

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

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Frequently Asked Questions

What is DarwinFi used for?
DarwinFi is a AI tool tool. An autonomous, self-evolving trading agent that uses Darwinian competition between 12 concurrent strategies on Uniswap V3 (Base + Celo). The top-performing strategy trades live on-chain; the rest pape.
Is DarwinFi free?
License: Check project page. DarwinFi has 0 GitHub stars.
Is DarwinFi safe?
DarwinFi has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to DarwinFi?
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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