Evidence first
Metadata truth, runtime observations, historical snapshots and user preference stay semantically distinct.
🎉 DV Quick Run v1.0.0
Dataverse investigation workbench for VS Code
Investigate Dataverse with evidence, not guesswork.
Query and explain data, understand metadata and relationships, verify real business routes, inspect operational context, preserve evidence across environments and time, and continue into bounded professional investigation—all from one local-first VS Code workflow.
64 Local MCP tools
94 guided prompts
Managed Business Paths
Professional Investigation + Mini RCA
DV Quick Run · v1.0.0
The v1 investigation journey
From question to handoff without losing the evidence chain.
Orient→Query→Understand→Traverse→Preserve→Investigate→Assess→Explain→Handoff
Start small. DVQR keeps technical evidence connected as the investigation deepens, but it does not force every investigation through every surface.
Product principles
Fast enough for everyday work. Disciplined enough for investigation.
Bounded by design
DVQR follows explicit scope, canonical environment and capability boundaries rather than widening work silently.
Progressive disclosure
Start with a query or guided prompt; reveal deeper investigation surfaces only when the problem needs them.
Human authority
DVQR explains and narrows the evidence. People still decide what is true, safe and appropriate.
Start with the task you have
One Dataverse investigation workbench. Multiple ways to begin.
Open the Prompt Library when you know the outcome, use the Hub when you want orientation, or start directly from an OData/FetchXML query. DVQR keeps the investigation connected as you move into relationships, runtime evidence, profiles, snapshots, readiness and handoff.
94 guided prompts when you want an outcome without learning tool names first.
A Hub that keeps Local MCP, current context, evidence workspace, capabilities and investigation paths together.
Editor-first OData, FetchXML, $batch, Result Viewer and query refinement when you already know where to start.
Start with the task you have
Operational understanding
Understand an entity before you decide where to investigate.
Operational Profiles turn bounded Dataverse evidence into an entity-scoped view of operational density and contextual complexity. The calibrated DVQR Score helps orient investigation without pretending to be a risk, health, performance or root-cause score.
Review plugin, relationship, column, async, workflow, audit and managed-state signals.
See the primary contributors behind the score rather than a black-box number.
Continue from entity context into the investigation surfaces that actually own the next evidence.
Operational understanding
Capabilities & governed execution
Discover what Dataverse can do before you execute anything.
Capability Explorer discovers Custom APIs, Actions and Functions from the active environment, makes binding and visibility explicit, and keeps eligible execution preview-first and inspectable.
Separate Actions, Functions, bound/unbound operations and private visibility.
Inspect parameters, response shape and execution readiness before acting.
Use the same metadata-backed capability model from the editor, Hub and Local MCP workflows.
Capabilities & governed execution
Evidence across environments and time · Pro
Preserve what changed. Reconstruct when it first appeared.
Snapshot Library, Cross-Environment Diff and Timeline Reconstruction preserve investigation evidence beyond the current screen. DVQR keeps observed drift, first-observed intervals, audit context and handoff material distinct from deployment authority or causal claims.
Compare compatible snapshots across environments and group operational drift by provider and significance.
Reconstruct first-observed change intervals from three or more compatible same-environment snapshots.
Export reports and handoff context while keeping investigation and reconstruction/remediation authority separate.
Evidence across environments and time · Pro
Timeline Reconstruction · Pro
See the evidence evolve across captured points in time.
Timeline Reconstruction compares compatible same-environment snapshots, groups the resulting events, and makes the first observed capture window visible. It preserves historical uncertainty instead of inventing an exact change timestamp.
Timeline Trust
First-observed intervals
Findings summary
Optional audit enrichment
Timeline Reconstruction · Pro
Talk to Dataverse · Local MCP
Use conversational investigation without creating a second DVQR architecture.
The extension-owned Local MCP server exposes the same application capabilities used by DVQR's other surfaces. Free provides 32 foundational tools; Pro adds 32 investigation tools for 64 total.
32 Free tools32 Pro-only tools64 totalWorkspace-owned lifecycle
DV Quick Run Hub · v1.0.0
Free foundation. Pro acceleration.
Pro adds continuity and depth—not stronger truth or weaker safety.
Free includes the core Dataverse understanding, querying, relationship and Managed Business Path foundation. Pro adds persisted Professional Investigation, advanced evidence acquisition, readiness, Mini RCA, comparison, timeline, reporting and handoff.
Free
Understand, query, traverse and verify.
Metadata discovery, query workbench, Result Viewer, relationship intelligence, Guided Traversal, Operational Profile + DVQR Score, Managed Business Paths and eligible governed Custom API execution.
Pro
Persist, correlate, compare, reconstruct and explain.
Professional Investigation, advanced evidence acquisition, Readiness, Evidence Gaps, Mini RCA, Cross-Environment Diff, Timeline/Audit and advanced reporting/handoff.
Free truth = Pro truth · Free safety = Pro safety
DV Quick Run v1.0.0
Start with one Dataverse question. Follow only the evidence you need.
Install the Free foundation from the VS Code Marketplace, or start a 14-day Pro Trial when you need persisted professional investigation, comparison, timeline and Mini RCA.