PERP.WIKI

Nansen vs Zellic

Hyperliquid ecosystem comparison · Analytics & Data

Best for Research
Different Focus Areas

Quick Take

Nansen Blockchain analytics platform tracking smart money flows on Hyperliquid on Multi-Layer, while Zellic Rising star blockchain security firm with deep DeFi and cryptography expertise on Multi-Layer. They serve different niches in the Hyperliquid ecosystem.

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

Overview

Nansen logo

Nansen

Nansen is the industry-leading on-chain analytics platform that enriches blockchain data with millions of wallet labels, enabling traders and investors to track smart money flows across Hyperliquid and 40+ blockchains. By identifying wallets belonging to exchanges, funds, whales, and DeFi protocols, Nansen transforms raw on-chain data into actionable intelligence. On Hyperliquid, Nansen tracks large perp position changes, wallet inflows and outflows to the L1, and the trading behavior of labeled professional accounts. Its Token God Mode feature provides a 360-degree view of any Hyperliquid spot token's holder distribution, trading volume, and liquidity depth. Nansen's alerting system notifies users when smart money wallets make significant moves in Hyperliquid markets, giving a critical edge in fast-moving crypto environments. The platform's AI-enhanced research tools help investors quickly synthesize on-chain signals into investment theses across the Hyperliquid ecosystem.

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Zellic logo

Zellic

Zellic is a rapidly growing blockchain security firm that combines deep smart contract expertise with strong cryptographic and systems security knowledge, serving protocols across EVM ecosystems including HyperEVM. Founded by top competitive CTF players, Zellic's team brings an attacker's mindset to every engagement, proactively identifying vulnerabilities in complex DeFi protocols, cross-chain bridges, and financial primitives. Zellic has audited hundreds of millions in TVL across lending protocols, DEXes, and infrastructure projects—many architecturally similar to what is being built on Hyperliquid. Their reports are known for clear vulnerability disclosure with actionable remediation guidance. For HyperEVM projects seeking an audit firm with fresh perspectives and a strong track record in cutting-edge DeFi security research, Zellic provides rigorous assessment that complements the traditional audit landscape and has earned a reputation as one of the most thorough firms for complex protocol reviews.

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Feature Comparison

FeatureNansen logoNansenZellic logoZellic
LayerMulti-LayerMulti-Layer
CategoryAnalytics & DataSecurity & Audits
StatusActiveActive
Launch Year
Websitenansen.aizellic.io
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

NansenZellic
Open Source
Nansen
Not public
Zellic
Not public
Verified
Nansen
Unverified
Zellic
Unverified
Ecosystem Breadth
Nansen
0 tags
Zellic
0 tags
Maturity
Nansen
Unknown
Zellic
Unknown

Feature Matrix

FeatureNansen logoNansenZellic logoZellic
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

Nansen is focused on analytics & data, while Zellic targets security & audits. They serve different user needs within the Hyperliquid ecosystem.

When to Use Each

Choose Nansen if you...

  • Want a analytics & data solution on Multi-Layer
  • Need: Blockchain analytics platform tracking smart money flows on Hyperliquid

Choose Zellic if you...

  • Want a security & audits solution on Multi-Layer
  • Need: Rising star blockchain security firm with deep DeFi and cryptography expertise

Ecosystem Integration

Nansen logo

Nansen

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

Zellic logo

Zellic

Zellic 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?

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