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Pyth Network vs Stork Network

Hyperliquid ecosystem comparison · Oracles

Ecosystem Pick
Direct Competitors

Quick Take

Pyth Network High-fidelity oracle delivering real-world market data to Hyperliquid on Multi-Layer, while Stork Network Ultra-low latency pull oracle purpose-built for Hyperliquid-native DeFi on Multi-Layer. Both are oracles protocols on Multi-Layer, making them direct competitors in the Hyperliquid ecosystem.

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

Overview

Pyth Network logo

Pyth Network

Pyth Network is a high-fidelity, low-latency oracle that delivers real-world market data to smart contracts on over 50 blockchains including Hyperliquid. Hyperliquid integrates Pyth's price feeds to power its perpetual and spot markets, ensuring reliable mark prices and funding rates. Pyth uses a pull-model where publishers—including major trading firms like Jump Trading and Jane Street—push prices on-chain only when consumed, dramatically reducing costs. With sub-second update frequencies and over 500 price feeds covering crypto, equities, FX, and commodities, Pyth is one of the most widely used oracles across the HyperEVM ecosystem. Its decentralized network of first-party data sources ensures data accuracy and tamper-resistance, making it a critical infrastructure layer for DeFi protocols building on Hyperliquid that require accurate, real-time pricing for collateral valuation, liquidation triggers, and perpetual mark prices.

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Stork Network logo

Stork Network

Stork is a low-latency, first-party oracle network purpose-built for high-performance DeFi applications like Hyperliquid. Unlike traditional oracle solutions, Stork delivers signed price updates directly to end-users, enabling on-demand data consumption without sacrificing freshness. Designed for derivatives and perpetuals markets where sub-millisecond price accuracy is critical, Stork has become a key infrastructure layer for HyperEVM protocols. Its publisher-agnostic design allows projects to integrate multiple data sources under a unified interface, and its architecture supports hundreds of asset feeds with cryptographic attestation. Stork's emphasis on ultra-low latency makes it ideal for Hyperliquid's high-throughput matching engine, where stale oracle prices can create exploitable arbitrage or unfair liquidations. Projects building options, structured products, or complex derivatives on HyperEVM rely on Stork for the price freshness that underpins safe, capital-efficient protocols.

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Feature Comparison

FeaturePyth Network logoPyth NetworkStork Network logoStork Network
LayerMulti-LayerMulti-Layer
CategoryOraclesOracles
StatusActiveActive
Launch Year
Websitepyth.networkstork.network
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Pyth NetworkStork Network
Open Source
Pyth Network
Not public
Stork Network
Not public
Verified
Pyth Network
Unverified
Stork Network
Unverified
Ecosystem Breadth
Pyth Network
0 tags
Stork Network
0 tags
Maturity
Pyth Network
Unknown
Stork Network
Unknown

Feature Matrix

FeaturePyth Network logoPyth NetworkStork Network logoStork Network
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Similar Profiles

Both Pyth Network and Stork Network are oracles protocols on Multi-Layer. The key differentiators will be in their specific implementations, UX, liquidity depth, and community traction.

When to Use Each

Choose Pyth Network if you...

  • Want a oracles solution on Multi-Layer
  • Need: High-fidelity oracle delivering real-world market data to Hyperliquid

Choose Stork Network if you...

  • Want a oracles solution on Multi-Layer
  • Need: Ultra-low latency pull oracle purpose-built for Hyperliquid-native DeFi

Ecosystem Integration

Pyth Network logo

Pyth Network

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

Stork Network logo

Stork Network

Stork Network 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 Pyth Network or Stork Network to help others in the Hyperliquid community make better decisions.

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