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Scopwis documentation

Scopwis is a Rust-core autonomous analytics and data-mining system. You ask a business question; Scopwis discovers authorized data, builds a bounded plan, executes typed queries and registered analysis methods, records evidence, and produces a verified answer. Reports are created only when you ask for a report, chart, dashboard, or report refinement.

What you can do

  • Analyze — investigate questions through the evidence-first Agent workspace.
  • Data mining — launch registered profiling, anomaly, clustering, relationship, drift, forecasting, predictive, diagnostic, and quantitative workflows.
  • Reports — create, inspect, refine, edit, share, and version evidence-backed ReportSpec deliverables.
  • Connect governed data — use local/object storage, managed connection profiles, provider-backed tables, streams, public datasets, and approved external capabilities.
  • Choose your model runtime — connect supported standard model transports without compiling model names into the Agent.

Start here

  1. Install Scopwis
  2. Run your first analysis
  3. Connect data sources
  4. Use the Analyze workspace
  5. Use data mining and prediction
  6. Create and manage reports

Reference

Implementation contracts live in the repository under docs/specs/. Those specifications are authoritative for protocol, security, query, analysis, and report behavior; this documentation explains how to use the product.

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