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Analytics teams use SonarX’s enriched, cross-chain datasets—delivered as Full Historical Stream (FHS) for genesis-to-tip, point-in-time history and Real-Time Stream (RTS) for seconds-from-tip telemetry—to understand ecosystems, track competitive flows, follow user journeys, and generate defensible insights from on-chain activity.

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Common Use Cases

  • User Behavior Analytics – Track wallet patterns, protocol interactions, and token usage across chains (FHS for cohorts; RTS for live UX).
  • Ecosystem Metrics – Monitor traffic, transaction volume, TVL/volume trends, and trending assets with reproducible history.
  • Competitive Intelligence – Compare protocols/venues, flows, and liquidity to inform product and BD.
  • Sybil & Fraud Detection – Behavioral clustering and anomaly flags in real time.
  • Trading & Risk Telemetry – Low-latency feeds for price/liquidity/risk signals; backtests on complete history.
  • Forensics, Compliance & Audits – PIT replays and cross-chain provenance for investigations and reporting.

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Wallets

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Use Case — User Behavior Analytics

SonarX’s Solution: Explorer + Data Shares (FHS) provide visibility into wallet activity patterns, assets held, DEX interactions, and marketplace behavior across chains, with point-in-time snapshots for reliable cohorting and trend analysis.
Customer Example: Consumer wallets and WaaS providers use SonarX to understand user journeys and product usage, informing growth and partnership strategy.

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Use Case — Wallet Insights

SonarX’s Solution: FHS wallets/tokens/transactions tables and labeled entities enable per-wallet rollups, holdings (incl. NFTs/blue chips), and interaction graphs; RTS streams power live balance/transfer panels.
Customer Example: Wallet teams deepen their understanding of users, projects, and competitors to drive feature roadmaps and campaigns.

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Use Case — Ecosystem Metrics

SonarX’s Solution: FHS delivers reproducible history for platform traffic, tx volumes, and trending assets; RTS surfaces real-time spikes for in-app surfacing and alerts.

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DEXs

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Use Case — DEX Adoption & Comparison

SonarX’s Solution: Satellite provides adoption metrics (TVL, volume by chain/pool/DEX), while FHS supports longitudinal comparisons across protocol versions; RTS adds seconds-from-tip updates for live dashboards.

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Use Case — Airdrops & Sybil Detection

SonarX’s Solution: Combine FHS behavioral histories with RTS anomaly signals to identify clusters and filter abusers before distribution—scalable across chains with uniform schemas.

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Use Case — Trading & Risk

SonarX’s Solution: RTS streams deliver real-time swaps/pools/liquidations for execution-adjacent analytics; FHS enables backtesting and stress studies (liquidity drains, depegs, bridge hops).

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Why SonarX (at a glance)

  • FHS (Full Historical Stream): complete, indexed, chain-agnostic history from genesis to tip for audits, research, and modeling.
  • RTS (Real-Time Stream): low-latency, high-availability, reorg-aware feeds for trading, risk, fraud, and live analytics.
  • Satellite & Instant Data Shares: query, join, and visualize with warehouse-native delivery; no pipelines required.