Moralis vs Gauntlet
Hyperliquid ecosystem comparison · Data APIs
Best for ResearchQuick Take
Moralis Comprehensive Web3 data APIs for token, NFT, and wallet data on HyperEVM on Multi-Layer, while Gauntlet Financial risk modeling and protocol optimization for DeFi protocols on HyperEVM on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.
Based on public data for Moralis and Gauntlet. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Moralis
Multi-LayerComprehensive Web3 data APIs for token, NFT, and wallet data on HyperEVM
moralis.ioGauntlet
Multi-LayerFinancial risk modeling and protocol optimization for DeFi protocols on HyperEVM
gauntlet.xyzOverview
Moralis
Moralis is a comprehensive Web3 data API platform providing token data, NFT metadata, wallet balances, and transaction history APIs for HyperEVM and 30+ other EVM chains. HyperEVM developers use Moralis to build feature-rich frontends without managing their own indexing infrastructure—fetching real-time token prices, historical OHLCV data, wallet portfolio data, and NFT ownership information through simple REST API calls. Moralis's deep indexing of HyperEVM contract events enables complex queries like showing all DeFi positions for a wallet across all HyperEVM protocols with a single API call. Its Streams product delivers real-time webhook notifications for on-chain events, enabling reactive features in Hyperliquid ecosystem applications. With competitive pricing, high availability SLAs, and extensive SDK coverage for JavaScript, Python, and mobile platforms, Moralis accelerates HyperEVM dApp development and is trusted by thousands of Web3 projects globally.
Visit websiteGauntlet
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.
Visit websiteFeature Comparison
| Feature | Gauntlet | |
|---|---|---|
| Layer | Multi-Layer | Multi-Layer |
| Category | Data APIs | Analytics & Data |
| Status | Active | Active |
| Launch Year | — | — |
| Website | moralis.io | gauntlet.xyz |
| — | — | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | — | — |
Score Comparison
Feature Matrix
| Feature | Gauntlet | |
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✗ | ✗ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Category Focus
Moralis is focused on data apis, while Gauntlet targets analytics & data. They serve different user needs within the Hyperliquid ecosystem.
When to Use Each
Choose Moralis if you...
- ✓Want a data apis solution on Multi-Layer
- ✓Need: Comprehensive Web3 data APIs for token, NFT, and wallet data on HyperEVM
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
Moralis
Moralis 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
Which do you prefer?
Share your experience with Moralis or Gauntlet to help others in the Hyperliquid community make better decisions.
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