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Chaos Labs vs Zellic

Hyperliquid ecosystem comparison · Analytics & Data

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Different Focus Areas

Quick Take

Chaos Labs DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols on Multi-Layer, while Zellic Rising star blockchain security firm with deep DeFi and cryptography expertise on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Chaos Labs and Zellic. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Chaos Labs logo

Chaos Labs

Chaos Labs is a DeFi risk analytics and parameter optimization platform that uses agent-based simulations and quantitative modeling to help protocols manage risk and optimize capital efficiency. Working with major lending protocols, DEXes, and perpetuals markets including projects built on Hyperliquid, Chaos Labs provides data-driven recommendations for collateral factors, liquidation thresholds, and interest rate curves. Its economic security monitoring continuously stress-tests protocol parameters against simulated market scenarios including flash crashes and liquidity crises, alerting teams to potential vulnerabilities before they become exploits. For Hyperliquid ecosystem protocols handling significant TVL, Chaos Labs provides the rigorous quantitative framework necessary to safely scale while maintaining robust risk management. The platform's real-time dashboards give protocol teams and governance participants clear visibility into current risk exposure across all market conditions.

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Zellic logo

Zellic

Zellic is a rapidly growing blockchain security firm that combines deep smart contract expertise with strong cryptographic and systems security knowledge, serving protocols across EVM ecosystems including HyperEVM. Founded by top competitive CTF players, Zellic's team brings an attacker's mindset to every engagement, proactively identifying vulnerabilities in complex DeFi protocols, cross-chain bridges, and financial primitives. Zellic has audited hundreds of millions in TVL across lending protocols, DEXes, and infrastructure projects—many architecturally similar to what is being built on Hyperliquid. Their reports are known for clear vulnerability disclosure with actionable remediation guidance. For HyperEVM projects seeking an audit firm with fresh perspectives and a strong track record in cutting-edge DeFi security research, Zellic provides rigorous assessment that complements the traditional audit landscape and has earned a reputation as one of the most thorough firms for complex protocol reviews.

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Feature Comparison

FeatureChaos Labs logoChaos LabsZellic logoZellic
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataSecurity & Audits
StatusActiveActive
Launch Year
Websitechaoslabs.xyzzellic.io
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Chaos LabsZellic
Open Source
Chaos Labs
Not public
Zellic
Not public
Verified
Chaos Labs
Unverified
Zellic
Unverified
Ecosystem Breadth
Chaos Labs
0 tags
Zellic
0 tags
Maturity
Chaos Labs
Unknown
Zellic
Unknown

Feature Matrix

FeatureChaos Labs logoChaos LabsZellic logoZellic
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Chaos Labs is focused on analytics & data, while Zellic targets security & audits. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Chaos Labs if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols

Choose Zellic if you...

  • Want a security & audits solution on Multi-Layer
  • Need: Rising star blockchain security firm with deep DeFi and cryptography expertise

Ecosystem Integration

Chaos Labs logo

Chaos Labs

Chaos Labs operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

Zellic logo

Zellic

Zellic operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.

Both protocols share the same layer, maximizing composability potential.

Community Verdict

Which do you prefer?

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