Connect your business intelligence and AI stack to governed DashQ data.
Set up DashQ Data MCP, run approved models through Dashnet inference, or activate direct warehouse access for a client-owned service account.
https://mcp.dashnet.ai/mcpREADY01// OAuth-capable external MCP client02"dashnet": {03 "type": "http",04 "url": "https://mcp.dashnet.ai/mcp",05 "oauth": true06}0708// Complete DashQ sign-in and consent.09// Discover visible datasets before querying.OAuth complete · governed tools available for your scopeOpen MCP setup One platform. Built to meet your product where it is.
Start with the delivery model that fits your roadmap. Every path uses the same governed DashQ data and production security model.
Embedded dashboards
Launch a complete, responsive analytics experience through a short-lived, signed iframe URL.
Start embeddingData APIs + widgets
Fetch scoped analytics data and compose DashQ intelligence directly inside your product UI.
Build nativelyDashQ Assistant
Give every operator a secure, conversational path from a question to a decision-ready answer.
Meet the assistantPowerful by default. Deliberate by design.
DashQ separates model execution, governed data tools, and direct warehouse access so every client credential has one explicit purpose and scope.
- 01Choose the capability
Connect MCP, inference, warehouse access, or an embedded product surface.
- 02Provision one identity
Use OAuth, a client inference key, or a client-owned Google principal.
- 03Verify the boundary
Discover only enabled models, tools, datasets, properties, and views.
Everything you need to move from idea to integration.
Quickstart
From gateway credentials to a working integration.
API reference
Endpoints, authentication, contracts, and lifecycle.
Data MCP
Connect approved AI clients to governed warehouse data.
Claude Cowork + inference
Configure Cowork with Dashnet inference, OAuth MCP, and managed output scope.
Data dictionary
Search terms, fields, formulas, SQL logic, and lineage.
Warehouse connection
Connect approved SQL, BI, notebook, or MCP workflows.