On chain data guide
The on chain data guide documents how raw transfers are normalized, confirmed, and grouped into market-relevant flow events with reproducible rules.
This blockchain analytics documentation hub explains how the OnChainFlows crypto tracking system turns high-volume transaction activity into clear, auditable market intelligence.
End-to-end production methodology: event confirmation pipeline, threshold gate sequencing, route validation constraints, and control checks used before signals are promoted.
/docs/methodologyTechnical labeling architecture: entity clustering rules, confidence-tier governance, exchange wallet taxonomy, and operational label lifecycle from candidate to active release.
/docs/labeling-systemScoring engine specification: weighting model, persistence multipliers, context-adjusted coefficients, and deterministic priority assignment across informational to critical tiers.
/docs/signal-scoringNetwork coverage matrix with chain-level confirmation profiles, asset scope boundaries, route decomposition constraints, and production-readiness conditions for each supported chain.
/docs/chains-coveredCadence reference for indexing, labeling refresh intervals, scoring recalculation windows, and publication service levels by signal class and chain.
/docs/update-frequencyThe documentation is written as an on chain data guide: begin with event collection and confirmation, then move into entity labeling, score interpretation, and chain-level constraints. Each document is designed so analysts can validate why a signal was emitted, not only read the final output.
This content is intentionally implementation-focused. We document decision gates, confidence tiers, and update assumptions so teams using our crypto tracking system can map each signal back to source activity and route context.
The on chain data guide documents how raw transfers are normalized, confirmed, and grouped into market-relevant flow events with reproducible rules.
Our crypto tracking system specification explains ingestion pipelines, entity attribution layers, and routing checks used before events enter scoring.
The whale alert methodology defines transaction-size thresholds, context exceptions, and anti-noise controls so large movements are interpreted with precision.
The crypto signal framework describes weighted scoring, persistence handling, and severity-tier logic used to rank informational, warning, and critical events.
Together, these pages form a complete blockchain analytics documentation layer for teams that need a practical on chain data guide and an auditable crypto signal framework for production use.