# Querio Documentation

> Product guides and reference. Follow a link for the full page in Markdown.

## Get started

- [Get started in the app](https://docs.querio.ai/llms/get-started/app.md): Ask your first question with sample data, explore the answer, and bring your own data and workflows into Querio.
- [Get started with CLI](https://docs.querio.ai/llms/get-started/cli.md): Sign in, connect your coding agent, and create your first analysis with Querio CLI.
- [Get started with MCP](https://docs.querio.ai/llms/get-started/mcp.md): Connect your AI assistant to Querio and create your first analysis through MCP.
- [Analyze your data](https://docs.querio.ai/llms/get-started/your-data.md): Ask a familiar business question, check the result against a trusted source, and build on the analysis.

## Understand Querio

- [What is Querio?](https://docs.querio.ai/llms/index.md): Work with agents to analyze your data, edit SQL and Python, and build boards and reports for your team.
- [How analysis works](https://docs.querio.ai/llms/understand/analysis.md): How questions become notebook analysis, boards and saved work across the app, CLI and MCP.
- [Context and accuracy](https://docs.querio.ai/llms/understand/context.md): How shared definitions and vetted knowledge help your team get more accurate, consistent answers.
- [Fit with your data stack](https://docs.querio.ai/llms/understand/data-stack.md): Build on your warehouse and dbt models with Querio context, Git workflows and agent-assisted analysis.

## Guides and topics

- [Connect BigQuery](https://docs.querio.ai/llms/connect-data/integrations/bigquery.md): Create a service account, connect BigQuery in Querio, and verify access to an approved table.
- [Connect ClickHouse](https://docs.querio.ai/llms/connect-data/integrations/clickhouse.md): Create a read-only ClickHouse account, configure its HTTPS connection and verify a query as the intended user.
- [Connect Databricks](https://docs.querio.ai/llms/connect-data/integrations/databricks.md): Configure token and warehouse access, connect Databricks in Querio, and verify a query against an approved table.
- [Connect MongoDB Atlas SQL](https://docs.querio.ai/llms/connect-data/integrations/mongodb-atlas.md): Prepare an Atlas SQL endpoint, enter its ODBC connection values, and check a collection query.
- [Connect DuckDB / MotherDuck](https://docs.querio.ai/llms/connect-data/integrations/motherduck.md): Connect persistent MotherDuck data through Querio's DuckDB option, then check table access and discovery limits.
- [Connect SQL Server](https://docs.querio.ai/llms/connect-data/integrations/mssql.md): Set up SQL Server or Azure SQL access, enter the supported Querio authentication fields, and verify a table query.
- [Connect MySQL and MariaDB](https://docs.querio.ai/llms/connect-data/integrations/mysql.md): Prepare a read-only database account, configure the MySQL connection and verify a query as the intended user.
- [Connect PostgreSQL](https://docs.querio.ai/llms/connect-data/integrations/postgresql.md): Prepare a PostgreSQL login, connect it in Querio, and verify a query against an approved table.
- [Connect Redshift](https://docs.querio.ai/llms/connect-data/integrations/redshift.md): Give Querio a Redshift login, connect it to the right endpoint, and verify table access.
- [Connect SAP HANA](https://docs.querio.ai/llms/connect-data/integrations/sap-hana.md): Give Querio a dedicated HANA login, connect to the SQL endpoint, and verify access to an approved table.
- [Connect Snowflake](https://docs.querio.ai/llms/connect-data/integrations/snowflake.md): Register Querio's public key, grant a Snowflake service user access, and verify a table query.
- [Connect through an SSH tunnel](https://docs.querio.ai/llms/connect-data/integrations/ssh.md): Arrange a managed SSH key, connect a private PostgreSQL or MySQL database, and verify an approved table.
- [API introduction](https://docs.querio.ai/llms/embed/api.md): Integrate Querio's agentic data analysis directly into your apps with the Embedded API.
- [Authentication](https://docs.querio.ai/llms/embed/api/authentication.md): Bearer token authentication for the Embedded API.
- [Continue a conversation](https://docs.querio.ai/llms/embed/api/continue-a-conversation.md)
- [Control Center](https://docs.querio.ai/llms/embed/api/control-center.md): Manage, test, and monitor your Embedded API integration.
- [Get a conversation](https://docs.querio.ai/llms/embed/api/get-a-conversation.md)
- [Get an asset](https://docs.querio.ai/llms/embed/api/get-an-asset.md)
- [List conversations](https://docs.querio.ai/llms/embed/api/list-conversations.md)
- [Start a conversation](https://docs.querio.ai/llms/embed/api/start-a-conversation.md)
- [Ask and refine a question](https://docs.querio.ai/llms/guides/ask-questions.md): Choose data, ask a focused question, and check a follow-up in an Explore.
- [Build a board](https://docs.querio.ai/llms/guides/build-dashboards.md): Build an interactive board with charts, filters and controls your team can use.
- [Connect a datasource](https://docs.querio.ai/llms/guides/connect-data.md): Connect your database or warehouse, set up access, and run your first query in Querio.
- [Edit an analysis in a notebook](https://docs.querio.ai/llms/guides/edit-notebooks.md): Inspect the cells behind an answer, change a calculation, and check dependent results.
- [Explore from a board](https://docs.querio.ai/llms/guides/explore-from-dashboard.md): Ask about a board result and continue selected work in a new Explore you can edit.
- [Sync with Git](https://docs.querio.ai/llms/guides/git-sync.md): Review context changes in pull requests and sync them to Querio after merging.
- [Add and improve context](https://docs.querio.ai/llms/guides/improve-context.md): Turn a checked answer into a shared definition, then verify that the next analysis uses it.
- [Move a BI workflow to Querio](https://docs.querio.ai/llms/guides/move-bi-workflow.md): Bring your existing metrics, reports and business context into Querio with unshackle and a coding agent.
- [Move exported work to Querio](https://docs.querio.ai/llms/guides/move-bi-workflow/already-unshackled.md): Use Claude Code, Codex or your preferred coding agent with Querio CLI to turn your unshackle export into working Querio analyses.
- [Move from Hex](https://docs.querio.ai/llms/guides/move-bi-workflow/hex.md): Export your Hex work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Lightdash](https://docs.querio.ai/llms/guides/move-bi-workflow/lightdash.md): Export your Lightdash work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Looker](https://docs.querio.ai/llms/guides/move-bi-workflow/looker.md): Export your Looker work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Metabase](https://docs.querio.ai/llms/guides/move-bi-workflow/metabase.md): Export your Metabase work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Omni](https://docs.querio.ai/llms/guides/move-bi-workflow/omni.md): Export your Omni work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Power BI](https://docs.querio.ai/llms/guides/move-bi-workflow/power-bi.md): Export your Power BI work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Qlik Sense](https://docs.querio.ai/llms/guides/move-bi-workflow/qlik.md): Export your Qlik Sense work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Amazon QuickSight](https://docs.querio.ai/llms/guides/move-bi-workflow/quicksight.md): Export your Amazon QuickSight work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Redash](https://docs.querio.ai/llms/guides/move-bi-workflow/redash.md): Export your Redash work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Sigma](https://docs.querio.ai/llms/guides/move-bi-workflow/sigma.md): Export your Sigma work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Apache Superset](https://docs.querio.ai/llms/guides/move-bi-workflow/superset.md): Export your Apache Superset work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from Tableau](https://docs.querio.ai/llms/guides/move-bi-workflow/tableau.md): Export your Tableau work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Move from ThoughtSpot](https://docs.querio.ai/llms/guides/move-bi-workflow/thoughtspot.md): Export your ThoughtSpot work with unshackle, then use a coding agent and Querio CLI to rebuild and check it in Querio.
- [Find and organize saved work](https://docs.querio.ai/llms/guides/organize-work.md): Find an Explore or board, then use names, statuses, tags, and cell bookmarks so your team can return to it.
- [Schedule and deliver an analysis](https://docs.querio.ai/llms/guides/schedule-deliver.md): Schedule a checked Explore, choose email or Slack delivery, and verify the result.
- [Share an Explore or board](https://docs.querio.ai/llms/guides/share.md): Give colleagues access to an Explore or board, or publish its saved content through a public link.
- [Set up single sign-on](https://docs.querio.ai/llms/guides/single-sign-on.md): Let your team sign in to Querio through Okta.
- [Manage team access and permissions](https://docs.querio.ai/llms/guides/team-setup.md): Invite teammates, set their permissions and give each team access to the right data.
- [Troubleshoot and get help](https://docs.querio.ai/llms/guides/troubleshoot.md): Find the failed step, preserve useful work, resolve the cause and verify recovery before retrying.
- [Upload files for analysis](https://docs.querio.ai/llms/guides/upload-files.md): Upload a tabular file, inspect the imported table, and check an answer against the source.
- [Check and correct an answer](https://docs.querio.ai/llms/guides/verify-answers.md): Find the cause of a mismatch, correct the analysis, and check the result that was saved.

## Reference

- [Users](https://docs.querio.ai/llms/reference/access.md): Invite teammates and manage their access to your Querio workspace.
- [API](https://docs.querio.ai/llms/reference/api.md): Authentication, workspace context, resource operations, request contracts, errors, and limits.
- [API keys](https://docs.querio.ai/llms/reference/api-keys.md): Authenticate scripts, API clients and CI jobs with a Querio personal API key.
- [Automations](https://docs.querio.ai/llms/reference/automations.md): Schedule definitions, execution, delivery, limits, and failure recovery.
- [Bitbucket](https://docs.querio.ai/llms/reference/bitbucket.md): Connect a Bitbucket Cloud repository to Querio and configure Pipelines for context sync.
- [CLI](https://docs.querio.ai/llms/reference/cli.md): Querio CLI commands, flags, authentication, output, and recovery rules.
- [Context files](https://docs.querio.ai/llms/reference/context.md): Paths, formats and loading rules for catalogs, joins, knowledge, memory and skills.
- [Datasources and credentials](https://docs.querio.ai/llms/reference/datasources.md): Connection kinds, credential identity and revisions, connection tests, and datasource limits.
- [Environments, sessions and runs](https://docs.querio.ai/llms/reference/execution.md): Compute, live notebook state, execution records, ownership, and cleanup.
- [Explores](https://docs.querio.ai/llms/reference/explores.md): How notebooks, conversations, saved work, sharing, and continuation fit together.
- [Files and versions](https://docs.querio.ai/llms/reference/files-versions.md): How workspace files, working copies, source versions, publication and file operations relate.
- [Git Providers](https://docs.querio.ai/llms/reference/git-providers.md): Repository connections and CI setup for GitHub and Bitbucket.
- [GitHub](https://docs.querio.ai/llms/reference/github.md): Connect a repository to Querio and configure GitHub Actions for context sync.
- [Groups](https://docs.querio.ai/llms/reference/groups.md): Give teams access to the data they need through shared datasource credentials.
- [MCP](https://docs.querio.ai/llms/reference/mcp.md): Connect ChatGPT or Claude to Querio, then look up authentication, tools, resources and limits.
- [Notebooks](https://docs.querio.ai/llms/reference/notebooks.md): Cells, outputs, dependency-driven execution, layout, and live notebook authoring.
- [Roles](https://docs.querio.ai/llms/reference/roles.md): Define what people can do in Querio, from creating analysis to managing the workspace.
- [Single sign-on](https://docs.querio.ai/llms/reference/single-sign-on.md): Okta OIDC configuration, sign-in modes and access rules.
- [Workspaces](https://docs.querio.ai/llms/reference/workspaces.md): What a workspace contains, where to manage its settings, and how its limits and billing work.

## Machine reference

- [OpenAPI request discovery](https://docs.querio.ai/openapi.json): 59 selected operations. Response bodies and exact statuses remain partial; this is not a complete SDK contract. See the API human reference for omitted secret mutations.