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Create derived analytics, reusable views, and automated workflows using Zark’s data layer. This section focuses on how you build on top of Zark, not how you analyze data manually.

Building Features

FeatureDescriptionExamples / Use Cases
Custom MetricsCreate new metrics by combining existing data points. These metrics update automatically as new data arrives.• Combine holder growth and price movement to detect accumulation
• Build custom risk scores using multiple indicators
• Create proprietary signals for internal analysis
Saved ViewsTurn complex queries into reusable views. Saved views can be reused across dashboards and reports.• Large ETH transfers over a threshold
• Tokens with rising volume but falling price
• Custom watchlists for wallets or tokens
Cross-Data AnalysisJoin multiple datasets to uncover deeper insights. This enables multi-dimensional analysis without manual data stitching.• Wallet activity + token risk
• Trading behavior + price movement
• Token volume + holder distribution

Automation & Pipelines

Automation TypeDescriptionExamples
Scheduled JobsRun queries automatically on a schedule.• Daily whale movement reports
• Weekly sector summaries
• Periodic risk scans
AlertsTrigger notifications when conditions are met. Alerts can be used for monitoring or automation workflows.• Large wallet movements
• Risk score changes
• Custom metric thresholds
Export & IntegrationUse Zark data outside the platform.• Export to dashboards
• Feed internal analytics tools
• Power custom applications
Example Requests:
  • “Create a view of tokens with rising holders but falling price”
  • “Alert me when a wallet moves more than $500K”
  • “Build a daily report of top DEX volume”
  • “Combine whale flow with buy/sell ratio”