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Analytics teams use Allium’s enriched data, query interface, and visualization layer to understand blockchain ecosystems, competitive fund flows, track user journeys, and generate insights from on-chain activity.

Common Use Cases

User Behavior Analytics

Track wallet activity patterns, protocol interactions, and token usage across chains

Ecosystem Metrics

Monitor platform traffic, transaction volume, and trending assets

Competitive Intelligence

Analyze competitive landscape and market positioning

Sybil Detection

Identify fraudulent blockchain activity via behavioral clustering

Wallets

Use CaseAllium’s SolutionCustomer Example
User Behavior AnalyticsAllium Explorer and Datashares provide visibility into wallet activity patterns, protocol interactions, and token usage across chainsConsumer wallets and Wallet as a Service (WaaS) providers use Allium to understand end-user behavior (preferences, journeys, product usage) and inform product & partnership decisions
Wallet InsightsAllium’s Wallet360 schema enables visibility into individual wallets’ transaction activity, assets held (including NFTs and bluechips), DEX interactions, and NFT marketplace interactionsWallets use Allium to deepen their understanding of users, projects, and the competitive landscape to inform growth strategy
Ecosystem MetricsAllium’s data enables visibility into ecosystem metrics such as historical platform traffic, transaction volume, and trending assetsWallets use Allium to display trending assets for their users and surface credible metrics for marketing and performance reporting

DEXs

Use CaseAllium’s SolutionCustomer Example
DEX Adoption & ComparisonAllium Explorer provides protocol adoption metrics such as TVL, TVL delta, DEX volume across chains, DEX volume across pools, and DEX volume across multiple DEXsUniswap Foundation worked directly with the Allium team to build the Uniswap v4 Overview Dashboard to quantify adoption upon launch and analyze v4 against earlier Uniswap protocol versions
Airdrops – Sybil DetectionAllium enables investigations into fraudulent blockchain activity via behavioral-based clustering techniques. It can detect patterns across thousands of wallets and transactions that would be nearly impossible to identify manuallyJito worked with the Allium team to identify and remove sybil abusers to prepare for their JTO token airdrop. Wormhole also worked with the Allium team to identify and filter out sybil clusters to prepare for their multichain W airdrop
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