Analyze
Ask a business question. Scopwis discovers authorized data, records a bounded plan, executes evidence, and explains the result without silently widening scope.
Autonomous analytics for governed data
Answers your team can use.
Evidence your team can inspect.
Scopwis combines autonomous analysis, data mining, prediction, and reporting with a Rust trust boundary that keeps authorization, execution, and evidence deterministic.
RUST COREREAD-ONLY ANALYTICSEVIDENCE LINEAGEREPORTSPEC
governed execution
Which changes matter, what explains them, and what evidence supports the answer?
01Dataauthorized scope
→
02Planvalidated intent
→
03Evidencequery + mining
→
04Deliveryanswer or report
The model proposes analytical work. The system validates what can actually run.
Conceptual interface — no synthetic customer metrics.
One platform, three primary workspaces
From open-ended questions to governed analytical delivery.
Scopwis keeps investigation, registered analytical methods, and durable reporting on the same evidence graph instead of splitting them across disconnected tools.
Analyze guide →
Data mining & prediction
Launch registered profiling, anomaly, clustering, relationship, drift, time-series, predictive, diagnostic, and quantitative methods through explicit contracts and quality gates.
Reports
Turn verified evidence into revisioned ReportSpec documents with narrative, KPIs, charts, tables, filters, provenance, refinement, editing, and read-only sharing.
Analysis · Mining · Prediction
See what the analytical engine is doing — not just what it says.
Interactive conceptual scenes visualize the kinds of structure Scopwis can inspect: multivariate relationships, clustering and anomalies, temporal behavior, and leakage-controlled prediction.
Explore multidimensional evidence.
Profile distributions, compare groups, inspect relationships, and isolate suspicious regions while keeping the selected evidence traceable.
Analyze guide →dimension slice
evidence region
Reveal clusters, anomalies, and shifts.
Registered methods cover clustering, anomaly screening, drift, segmentation, nonlinear relationships, diagnostics, and quantitative signals.
Mining methods →cluster structure
anomaly
Separate history from what comes next.
Forecasting and predictive workflows keep chronological boundaries explicit, compare validation windows, and surface uncertainty instead of hiding it behind a single score.
Prediction workflow →history
forecast band
Conceptual visualizations — they describe analytical behavior and validation structure, not customer data or live telemetry.
Security and governance
Deterministic controls stay outside the model.
Scopwis lets models reason broadly while the Server remains authoritative for identity, access, execution, evidence, and report validation.
MODEL
Reasoning and candidate actions
- decompose questions
- choose candidate tools and methods
- interpret bounded observations
- draft answers and report intent
RUST HOST
Authority and deterministic validation
- identity, authorization, and server-held credentials
- typed read-only query compilation
- method contracts, budgets, and tool policy
- artifact lineage, revisions, and ReportSpec validation
Actor-scoped access
Source discovery and execution are revalidated against the authenticated actor.
Credentials stay server-side
Model, OAuth, connection, and provider credentials do not become normal Agent observations.
Read-only analytical plane
Typed query plans compile through deterministic safety gates instead of arbitrary model-authored DDL/DML.
Traceable delivery
Analysis and report claims resolve back to immutable artifacts and lineage.
Evidence-first execution
Data → Plan → Evidence → Delivery
- DATADiscover the authorized surface.
Storage, tables, streams, public data, and approved external capabilities stay actor-scoped.
- PLANMake analytical intent explicit.
Plans, fields, methods, budgets, and dependencies are validated before execution.
- EVIDENCEExecute typed queries and registered methods.
Query and Mining artifacts retain bounded observations and immutable lineage.
- DELIVERYAnswer first; report when requested.
Analysis Artifacts support findings. ReportSpec adds a durable visual deliverable when the task requires one.
Deployment and integration
Run Scopwis with the infrastructure and model runtime you choose.
The Server owns the trust boundary. Clients negotiate capabilities through Bootstrap, while data and model adapters stay behind explicit transport and authorization contracts.
CLIENTSFlutter Web · Desktop · Mobile · CLI / TUI
CONTROLBootstrap · Auth · Tasks · Capabilities
TRUST BOUNDARYAgent · Query Safety · Artifacts · ReportSpec
DATADataFusion · Arrow · OpenDAL · Provider adapters
Open source foundation
Inspect the implementation, the contracts, and the evidence model.
Scopwis is Apache-2.0 licensed. Public documentation explains how to operate the product; implementation contracts remain in the repository for protocol, query, analysis, security, and report behavior.
Contact
Talk to Scopwis.
Questions about deployment, integration, product capabilities, or support? Email us and include the environment or workflow you are evaluating.