PERP.WIKI

Pyth Network vs The Graph

Hyperliquid ecosystem comparison · Oracles

Ecosystem Pick
Different Focus Areas

Quick Take

Pyth Network High-fidelity oracle delivering real-world market data to Hyperliquid on Multi-Layer, while The Graph Decentralized indexing protocol for building GraphQL APIs from HyperEVM smart contracts on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

Based on public data for Pyth Network and The Graph. 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.

Visit website
The Graph logo

The Graph

The Graph is the decentralized indexing protocol for blockchain data, enabling HyperEVM developers to build and deploy Subgraphs—open APIs that index, transform, and serve on-chain data via GraphQL. Rather than building custom indexing infrastructure, HyperEVM protocol teams can define their data schema and indexing logic in a Subgraph manifest, and The Graph's decentralized network of Indexers handles the computation and data serving. This dramatically accelerates frontend development for Hyperliquid DeFi dApps that need historical and real-time on-chain data without running centralized backend infrastructure. Subgraph data is trustless and cryptographically verifiable, making it appropriate for decentralized applications that want to maintain censorship-resistance. The Graph's GRT token incentivizes high-quality, reliable data indexing, ensuring HyperEVM Subgraphs remain continuously available and accurate for users and developers building on Hyperliquid's smart contract ecosystem.

Visit website

Feature Comparison

FeaturePyth Network logoPyth NetworkThe Graph logoThe Graph
LayerMulti-LayerMulti-Layer
CategoryOraclesData APIs
StatusActiveActive
Launch Year
Websitepyth.networkthegraph.com
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

Pyth NetworkThe Graph
Open Source
Pyth Network
Not public
The Graph
Not public
Verified
Pyth Network
Unverified
The Graph
Unverified
Ecosystem Breadth
Pyth Network
0 tags
The Graph
0 tags
Maturity
Pyth Network
Unknown
The Graph
Unknown

Feature Matrix

FeaturePyth Network logoPyth NetworkThe Graph logoThe Graph
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Pyth Network is focused on oracles, while The Graph targets data apis. They serve different user needs within the Hyperliquid ecosystem.

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 The Graph if you...

  • Want a data apis solution on Multi-Layer
  • Need: Decentralized indexing protocol for building GraphQL APIs from HyperEVM smart contracts

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.

The Graph logo

The Graph

The Graph 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 The Graph to help others in the Hyperliquid community make better decisions.

Related Comparisons