🏗️Structural Failures of Existing Analytics Platforms
Despite millions spent on blockchain data infrastructure, most tools remain rigid, slow, and unable to support real-time decision-making. Institutional users face systemic limitations across all existing on-chain analytics environments.
Static Visualizations, Not Adaptive Intelligence
Platforms like Dune provide dashboards or SQL access, but are constrained to surface-level insights or require deep manual effort.
Smart money tracking is limited to known labels — no dynamic segmentation based on new behavior.
No temporal analytics: wallets are shown in snapshots, not in evolving behavioral timelines.
Absence of Contextual Linking
Transfers are disconnected from DEX trades, from lending positions, from protocol governance — leaving the analyst to manually reconstruct the full picture.
The inability to follow cross-contract, multi-hop behaviors hampers investor decision-making and protocol audits.
Query Limitations
Non-indexed queries take minutes or hours, not milliseconds.
Event-based analytics are unsupported — you can't ask “Alert me when X behavior reoccurs across Y addresses.”
Institutional Pain Points
VCs
No automated tokenomics tracing or vesting wallet tracking
Protocols
No cohort-level insights on liquidity migrations
Traders
No customizable alerts for liquidation risks or farming exits
Exchanges
No real-time profiling for new users or listing candidates
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