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Gauntlet vs HyperIndex

Hyperliquid ecosystem comparison · Analytics & Data

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Different Focus Areas

Quick Take

Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM on Multi-Layer, while HyperIndex Open data API and indexer for Hyperliquid on-chain data on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

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

Overview

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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HyperIndex logo

HyperIndex

HyperIndex is a dedicated data infrastructure layer for the Hyperliquid blockchain, providing comprehensive indexing, querying, and API services tailored to the ecosystem's unique architecture. As Hyperliquid operates its own high-performance L1, developers and analysts face challenges accessing historical on-chain data, user activity, and protocol metrics in real time. HyperIndex solves this by maintaining indexed archives of Hyperliquid's order book events, trade history, liquidations, vault activity, and HyperEVM transactions — exposing this data through clean REST and WebSocket APIs. Whether you're building a portfolio tracker, analytics dashboard, trading bot, or DeFi protocol, HyperIndex provides the data backbone that makes it possible. The service supports complex queries — filtering trades by asset, user, or time window — without requiring developers to run their own archive nodes. By abstracting the complexity of raw blockchain data, HyperIndex accelerates ecosystem development and lowers the barrier to building on Hyperliquid. It functions as the ecosystem's equivalent of The Graph or Dune Analytics, purpose-built for Hyperliquid's specific data model and performance characteristics.

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Feature Comparison

FeatureGauntletHyperIndex logoHyperIndex
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataData APIs
StatusActiveActive
Launch Year2025
Websitegauntlet.xyzhyperindex.xyz
Twitter@hyperindex_xyz
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags
indexerAPIdataGraphQL

Score Comparison

GauntletHyperIndex
Open Source
Gauntlet
Not public
HyperIndex
Not public
Verified
Gauntlet
Unverified
HyperIndex
Unverified
Ecosystem Breadth
Gauntlet
0 tags
HyperIndex
4 tags
Maturity
Gauntlet
Unknown
HyperIndex
Since 2025

Feature Matrix

FeatureGauntletHyperIndex logoHyperIndex
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Gauntlet is focused on analytics & data, while HyperIndex targets data apis. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Gauntlet if you...

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

Choose HyperIndex if you...

  • Want a data apis solution on Multi-Layer
  • Need features like indexer and API
  • Need: Open data API and indexer for Hyperliquid on-chain data

Ecosystem Integration

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.

HyperIndex logo

HyperIndex

HyperIndex 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?

Share your experience with Gauntlet or HyperIndex to help others in the Hyperliquid community make better decisions.

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