Count
count.co
  • Getting Started
    • What is Count?
    • Count FAQ
    • Intro to your workspace
    • Example canvases
    • Getting started guides
      • Set up your workspace and projects
        • 1. Review workspace settings
        • 2. Create and organise your projects
      • Canvas orientation
      • Your first ad hoc analysis
        • 1. Examples and templates
        • 2. Build your first queries
        • 3. Create visuals
        • 4. Caching, local cells and scheduling
        • 5. Collaborating with a stakeholder
      • Your first report
        • 1. Examples and templates
        • 2. Filters and control cells
        • 3. Sharing your report
        • 4. Alerts
  • Connect your data
    • Database connection overview
      • Athena
      • Azure Synapse
      • BigQuery
      • Databricks
      • Microsoft SQL Server
      • MySQL
      • PostgreSQL
      • Redshift
      • Snowflake
    • Refresh database schema
    • Upload CSV files
    • dbt integration
      • ☁️dbt Cloud integration
      • 👩‍💻dbt Core integration
  • Import & Export
    • Import from other tools
      • Import Miro files
      • Import SQL files
      • Import Google Sheets
      • Import Jupyter notebooks
    • Export code and results
      • Export compiled SQL and Jinja-SQL
      • Export CSV files
      • Export images and PDF files
  • THE CANVAS
    • Navigating the canvas
      • Canvas tool bar
      • Data sidebar
      • Customizing the canvas
    • Canvas objects
      • Cells
      • Text and markdown
      • Shapes and tools
      • Sticky notes
      • Frames
      • Images
      • Embeds
      • Stamps
      • Grouping objects
      • Object order and alignment
      • Locking objects
      • Scaling objects
      • Shared styles
    • Overviews
    • Templates
    • Count AI
    • Alerts and subscriptions
      • Slack integration
    • Keyboard shortcuts
  • Querying data
    • Cells overview
      • Dynamic query compilation engine
    • SQL cells
      • Referencing other cells
      • Jinja templating
      • SQL formatting
    • Python cells
    • Visual and low-code cells
      • Calculations in visuals and low-code cells
      • Joins in visuals and low-code cells
    • Control cells
      • Single and multiple selects
      • Date controls
      • Text, number, and boolean controls
      • Custom control cells
    • Local DuckDB cells
      • DuckDB on the server
    • Query caching and scheduling
    • Manage queries and results
    • Troubleshooting
  • Visualizing data
    • Visualization overview
    • Templated visuals
    • Custom visuals
      • Marks
      • Facet
      • Subplots
      • Style
      • Filters
    • Formatting a visual
      • Axes
        • Secondary Axis
      • Colors and labels
      • Legends
      • Tooltips
    • Column summaries
    • Dynamic text
    • Every Visual Under the Sun
  • Presenting and Reporting
    • Reports and Slides
  • Count Metrics
    • Intro to Count Metrics
    • Build and edit a catalog
    • Views
      • Creating views
      • Customizing views
    • Datasets
      • Creating datasets
    • Save changes to the catalog
      • Catalog validation
      • Version control
    • Exposing catalogs to the workspace
    • Caching in Count Metrics
    • Using the catalog
      • Explore from cell
  • Sharing and Permissions
    • Real-time collaboration
    • Comments
    • Sharing permissions
    • Shared links
    • Embedding canvases
  • History and Versions
    • Version control
    • Duplicating and merging
    • Data snapshots
  • Settings and administration
    • Workspace settings
      • Workspace members
      • Groups
      • Tags
      • Billing
      • Single sign-on (SSO)
        • Okta
        • Entra ID
        • JumpCloud
        • Google
        • Generic OIDC
      • Brand
    • Connection settings
    • Project settings
    • User settings
    • Roles and permissions
  • Quick guides
    • Interactive control guides
      • Date ranges
      • Date groupings
      • Search
      • Select All
  • Resources
    • Join the Slack community
  • Blog
  • Security overview
  • Terms of use
  • Pricing FAQ
Powered by GitBook
On this page
  1. Settings and administration
  2. Workspace settings
  3. Single sign-on (SSO)

Generic OIDC

Configure the single sign-on integration between Count and Generic OIDC providers.

PreviousGoogleNextBrand

Last updated 17 days ago

Introduction

To connect Count to a generic OIDC identity provider, you'll need to be a Count workspace , and have SSO enabled for your workspace.

Head to the Count workspace settings, select the SSO tab and select Generic - you'll need to provide an Issuer URI, Client ID and Client secret.

The Issuer URI should be the base path at which the OIDC configuration can be retrieved. For example, if your Issuer URI looks like

https://my-issuer-uri.com/some/path

then a JSON document should be accessible at

https://my-issuer-uri.com/some/path/.well-known/openid-configuration

that contains a valid OIDC configuration document:

curl https://my-issuer-uri.com/some/path/.well-known/openid-configuration
{
 "issuer": "...",
 "authorization_endpoint": "...",
 "token_endpoint": "...",
 "jwks_uri": "...",
 "response_types_supported": ["code", ...],
 "scopes_supported": ["openid", "email", ...],
 ...
}

Count currently assumes that your identity provider:

  • Returns an OIDC configuration with at least the above properties

  • Accepts the client_secret_basic authorisation method

  • Supports the openid and email scopes

  • Returns an identity token that contains the following in its payload:

    • email - the email address of the authenticated user

    • sub - the unique identifier of the authenticated user

owner
The generic SSO settings