PERP.WIKI

Allium vs Zellic

Hyperliquid ecosystem comparison · Data APIs

Best for Research
Different Focus Areas

Quick Take

Allium Real-time blockchain data pipelines and SQL analytics for enterprise Hyperliquid data 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 Allium and Zellic. Key differentiators: layer deployment, fee structure, liquidity depth, and community adoption. Last reviewed: Mar 2026.

Overview

Allium logo

Allium

Allium is a blockchain data infrastructure company providing real-time, normalized on-chain data pipelines and SQL analytics for Hyperliquid and 40+ other networks. Unlike community platforms that batch historical data, Allium streams real-time decoded data directly to data warehouses including BigQuery, Snowflake, and Databricks—enabling institutional analytics teams to run live dashboards and ML models on Hyperliquid transaction data. Allium's data models standardize Hyperliquid events—trades, liquidations, funding payments, and HyperEVM contract interactions—into clean, queryable tables with sub-second latency. For hedge funds, market makers, and DeFi protocols that need production-grade data pipelines rather than community dashboards, Allium provides enterprise SLAs, SOC2 compliance, and dedicated data engineering support to build on the Hyperliquid dataset. Its Helix real-time streaming product enables millisecond-latency event feeds for Hyperliquid market data.

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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

FeatureAllium logoAlliumZellic logoZellic
LayerMulti-LayerMulti-Layer
CategoryData APIsSecurity & Audits
StatusActiveActive
Launch Year
Websiteallium.sozellic.io
Twitter
GitHubNot publicNot public
VerifiedUnverifiedUnverified
Tags

Score Comparison

AlliumZellic
Open Source
Allium
Not public
Zellic
Not public
Verified
Allium
Unverified
Zellic
Unverified
Ecosystem Breadth
Allium
0 tags
Zellic
0 tags
Maturity
Allium
Unknown
Zellic
Unknown

Feature Matrix

FeatureAllium logoAlliumZellic logoZellic
Open Source
Verified
Has Website
Has Twitter
Has GitHub
Active Status

Key Differences

Category Focus

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

When to Use Each

Choose Allium if you...

  • Want a data apis solution on Multi-Layer
  • Need: Real-time blockchain data pipelines and SQL analytics for enterprise Hyperliquid data

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

Allium logo

Allium

Allium 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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