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Chaos Labs vs Gauntlet

Hyperliquid ecosystem comparison · Analytics & Data

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Direct Competitors

Quick Take

Chaos Labs DeFi risk analytics and parameter optimization for Hyperliquid ecosystem protocols on Multi-Layer, while Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM on Multi-Layer. Both are analytics & data protocols on Multi-Layer, making them direct competitors in the Hyperliquid ecosystem.

Based on public data for Chaos Labs and Gauntlet. 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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Gauntlet

Gauntlet is a financial risk management and protocol optimization platform that uses agent-based market simulations to stress-test DeFi protocols and optimize their economic parameters. As protocols in the Hyperliquid ecosystem scale their TVL in lending markets and liquidity vaults, Gauntlet's simulation engine models adversarial behaviors, market crashes, and oracle manipulation scenarios to identify parameter configurations that maximize capital efficiency while minimizing insolvency risk. Gauntlet provides ongoing risk management services—continuously updating protocol parameters like liquidation bonuses, borrow caps, and collateral ratios in response to changing market conditions. With a track record managing billions in risk across Aave, Compound, and other top DeFi protocols, Gauntlet brings institutional-grade risk science to the growing Hyperliquid DeFi ecosystem. Protocols that engage Gauntlet signal commitment to sustainable, risk-managed growth rather than aggressive TVL maximization at the expense of security.

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Feature Comparison

FeatureChaos Labs logoChaos LabsGauntlet
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataAnalytics & Data
StatusActiveActive
Launch Year
Websitechaoslabs.xyzgauntlet.xyz
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Chaos LabsGauntlet
Open Source
Chaos Labs
Not public
Gauntlet
Not public
Verified
Chaos Labs
Unverified
Gauntlet
Unverified
Ecosystem Breadth
Chaos Labs
0 tags
Gauntlet
0 tags
Maturity
Chaos Labs
Unknown
Gauntlet
Unknown

Feature Matrix

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

Key Differences

Similar Profiles

Both Chaos Labs and Gauntlet are analytics & data protocols on Multi-Layer. The key differentiators will be in their specific implementations, UX, liquidity depth, and community traction.

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 Gauntlet if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM

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.

Gauntlet

Gauntlet 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

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