Hyperscanner vs Pyth Network
Hyperliquid ecosystem comparison · Analytics & Data
Best for ResearchQuick Take
Hyperscanner Unified analytics for Hyperliquid L1 and HyperEVM on Multi-Layer, while Pyth Network High-fidelity oracle delivering real-world market data to Hyperliquid on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.
Based on public data for Hyperscanner and Pyth Network. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.
Hyperscanner
Multi-LayerUnified analytics for Hyperliquid L1 and HyperEVM
hyperscanner.appPyth Network
Multi-LayerHigh-fidelity oracle delivering real-world market data to Hyperliquid
pyth.networkOverview
Hyperscanner
Hyperscanner is a unified analytics and data platform spanning both Hyperliquid L1 — the high-performance perpetuals exchange — and HyperEVM, the EVM-compatible smart contract execution layer. It addresses the fragmentation inherent in Hyperliquid's dual-chain architecture: traders and developers previously needed to consult disconnected explorers and dashboards to get a complete picture of ecosystem activity. Hyperscanner aggregates on-chain data into clean, accessible interfaces featuring real-time market overviews, token analytics, wallet tracking, volume trends, and trading signals derived from live chain activity. For traders, it offers a bird's-eye view of market conditions — open interest shifts, volume anomalies, and emerging token activity on HyperEVM. For developers and researchers, it provides an exploration and indexing layer for understanding ecosystem growth, protocol adoption, and on-chain behavior. By bridging the data gap between Hyperliquid L1 and HyperEVM in a single coherent product, Hyperscanner makes the ecosystem more legible and navigable — lowering the barrier for new participants and giving experienced users the signals they need to stay ahead of market developments.
Visit websitePyth 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 websiteFeature Comparison
| Feature | ||
|---|---|---|
| Layer | Multi-Layer | Multi-Layer |
| Category | Analytics & Data | Oracles |
| Status | Active | Active |
| Launch Year | 2025 | — |
| Website | hyperscanner.app | pyth.network |
| @hyperscanner_io | — | |
| GitHub | Not public | Not public |
| Verified | Unverified | Unverified |
| Tags | analyticsscannersignalsmulti-layer | — |
Score Comparison
Feature Matrix
| Feature | ||
|---|---|---|
| Open Source | ✗ | ✗ |
| Verified | ✗ | ✗ |
| Has Website | ✓ | ✓ |
| Has Twitter | ✓ | ✗ |
| Has GitHub | ✗ | ✗ |
| Active Status | ✓ | ✓ |
Key Differences
Category Focus
Hyperscanner is focused on analytics & data, while Pyth Network targets oracles. They serve different user needs within the Hyperliquid ecosystem.
When to Use Each
Choose Hyperscanner if you...
- ✓Want a analytics & data solution on Multi-Layer
- ✓Need features like analytics and scanner
- ✓Need: Unified analytics for Hyperliquid L1 and HyperEVM
Choose Pyth Network if you...
- ✓Want a oracles solution on Multi-Layer
- ✓Need: High-fidelity oracle delivering real-world market data to Hyperliquid
Ecosystem Integration
Hyperscanner
Hyperscanner operates on Multi-Layer (spans multiple hyperliquid layers). Spanning multiple layers lets it combine the strengths of each, though integration complexity is higher.
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.
Both protocols share the same layer, maximizing composability potential.
Community Verdict
Which do you prefer?
Share your experience with Hyperscanner or Pyth Network to help others in the Hyperliquid community make better decisions.
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