Authentication
Guest Token
Generate secure guest tokens for embedding DataBrain dashboards and metrics in your application.
POST
Guest tokens are designed for frontend embedding. Never expose your API key in frontend code - always generate tokens from your backend.
Simple Usage: Only
clientId and dataAppName are required. All other parameters (params, permissions, expiryTime, datasourceName, datamartName) are optional for advanced use cases.Guest tokens are free. There is no charge, metering, or purchase involved in generating them.
Advanced Features Available:
- Dashboard & metric-level filtering (
dashboardAppFilters,appFilters) - Per-dashboard metric visibility (
params.hideDashboardMetrics) - Embed allowlisting (
params.allowedEmbeds) - Fine-grained permissions control (
permissionsobject) - Private metrics for end users (
userIdentifier) - Timezone-aware queries (
params.timezone) - Multi-datasource support (
datasourceName) - Multi-datamart support (
datamartName) - Conditional filter visibility (
hideDashboardFilters,isShowOnUrl) - Token expiration management (
expiryTime)
Authentication
All API requests must include your API key in the Authorization header. Get your API token when creating a data app - see our data app creation guide for details. Finding your API token: For detailed instructions, see the API Token guide.Cloud Databrain Endpoint:
Self-hosted Databrain Endpoint:
Headers
string
required
Bearer token for API authentication. Use your API key from the data app.
string
required
Must be set to
application/json for all requests.Request Body
string
required
Unique identifier for the end user. This should be your user’s ID from your system. Used for row-level security and access control.
Use
"None" as the value if no tenancy is configured for your workspace (e.g. "clientId": "None").string
required
The name of your data application. Must match an existing data app in your workspace and be alphanumeric.
object
Additional parameters for token customization and filtering.
array
Optional allowlist of IDs this token can load.
- Each entry must match the ID you pass to the embed component’s
dashboardIdattribute — embed IDs and dashboard IDs both resolve. - If you provide
allowedEmbeds, loading any ID not in the list fails withUNAUTHORIZED. - If this is omitted, there is no restriction on which embeds can be loaded by the token.
- This is useful to restrict or enforce which dashboards or embedded analytics a guest can view, adding an extra layer of access control.
array
Row-level security rules per metric. Each entry is
{ "metricId": string, "values": object }, where values maps RLS variable names to the values enforced for this token. Unlike dashboard filters, RLS values are enforced server-side and cannot be changed by the end user.object
End-user dashboard- and metric-filter controls. Supported fields include the filter permissions, optional column allowlists, and filter-name rename permissions.
array
Application-level filters for controlling access to individual metrics. Unlike RLS settings, app filters restrict access without requiring end user input.
Metric App Filter
Metric App Filter
string
The metric ID to apply filters to. Required if appFilters is provided.
object
Filter values to apply to the metric. Supports multiple data types:
Keys in
values can use either the filter label or internal filter name (case-insensitive).- Boolean:
"paid_orders": true - Number:
"amount": 500 - String:
"country": "USA" - Array (multi-select):
"countries": ["USA", "CANADA"] - Date preset shortcut:
"order_date": "Last 30 days" - SQL Query:
{ "sql": "SELECT...", "columnName": "name" }
array
Dashboard-level filters that apply to all metrics on a dashboard. Supports multiple filter types for flexible data filtering.
Dashboard AppFilters
Dashboard AppFilters
string
The dashboard ID to apply filters to. Required if dashboardAppFilters is provided.
object
Filter values to apply to the dashboard. Supports various filter formats:
Keys in
values can use either the dashboard filter label or internal filter name (case-insensitive).- Single string:
"name": "Eric" - Multi-select:
"country": ["USA", "CANADA"] - Date range:
"timePeriod": { "startDate": "2024-01-01", "endDate": "2024-03-23" } - Date preset shortcut:
"timePeriod": "Last 30 days" - Number range:
"price": { "min": 1000, "max": 5000 } - SQL query:
{ "sql": "SELECT...", "columnName": "name" }
boolean
default:"true"
Controls visibility of filter values in URL search parameters. When
false, filters are applied but not visible to end users in the URL.array
Array of filter names to hide from the dashboard interface. Use this to conditionally hide specific filters based on user permissions or context.
array
Metrics to hide from specific embedded dashboards. Each item targets one dashboard and removes the selected metrics and their layout cards from that dashboard’s embed response.
string
required
External ID of the dashboard on which to hide the metrics. The dashboard must belong to the data app and workspace scope associated with the API token.
array[string]
required
Public metric IDs to hide on the specified dashboard. Every metric must be present on that dashboard.
This setting controls dashboard presentation for this guest token. It does not delete, archive, or change the metrics globally. Configurations for other dashboard IDs do not affect the current dashboard. If the same dashboard appears more than once, the backend combines the metric IDs from all matching entries.
object
Optional advanced access controls for end-user dashboard filtering.
boolean
Enables or disables end-user dashboard filter controls in embedded mode.
array
Optional allowlist for dashboard filterable columns. Each item must include
tableName and columns.string
required
Fully qualified table name used in dashboard filters.
array[string]
required
Column names allowed for dashboard filter evaluation for the specified table.
boolean
Enables or disables end-user metric filter interactions in embedded mode.
array
Optional allowlist for columns that end users can use in metric filters. Each item must include
tableName and columns.string
required
Fully qualified table name used in metric filters.
array[string]
required
Column names allowed for metric filter evaluation for the specified table.
boolean
Enables or disables end-user renaming of dashboard filter labels in embedded mode.
boolean
Enables or disables end-user renaming of metric filter labels in embedded mode.
string
Unique identifier for the end user in your system. Enables features like creating private metrics and publishing metrics directly from the embed view.
string
IANA timezone string for timezone-aware queries and date/time formatting. When provided, SQL queries will be executed with this timezone setting, ensuring consistent date/time handling across different timezones.
The timezone is used to set the database session timezone for SQL queries, ensuring that date/time operations are performed in the specified timezone.
Supported Datasources:
- Clickhouse
- Trino
- Redshift
- CockroachDB
- Postgres
- MSSQL
object
Permission settings for the embedded interface.
Permission Options
Permission Options
boolean
Allow archiving metrics.
boolean
Allow managing metrics (view, edit, organize).
boolean
Allow creating custom dashboard views.
boolean
Allow updating metric configurations.
boolean
Allow customizing dashboard layout.
boolean
Allow viewing underlying data behind charts.
boolean
Allow downloading metric data.
boolean
Show the sidebar navigation.
boolean
Show the dashboard name in the interface.
boolean
Disable metric creation in embedded dashboards. When set to
true, end users cannot create new metrics.number
Optional. Token expiration time in milliseconds from now. If not provided, token never expires.
string
Optional. Scope the token to a specific Datamart.
string
Optional. Datasource name for multi-datasource connection setups. Required when your data app uses multiple datasources.
The datasource name is available in the Data Studio tab of your dashboard. This parameter is only necessary if you have configured multiple datasources for your data app.
string
Optional. Datamart name for multi-datamart connection setups. Use this when your data app can resolve multiple datamarts and you want to pin token execution to one datamart.
If both
datasourceName and datamartName are omitted, Databrain resolves defaults from the data app context.Response
string
UUID token for authentication. Pass this to your frontend component for embedding.
null | object
Error object if the request failed, otherwise
null for successful requests.HTTP Status Code Summary
Error Codes
These are the mint-time errors from this endpoint. At embed runtime (after minting), the distinct errors are
INVALID_TOKEN (token not found in this deployment), TOKEN_EXPIRED, UNAUTHORIZED_ORIGIN, UNAUTHORIZED, and INVALID_ID — see the Error Codes Reference. Rate limiting surfaces as HTTP 429 with a Retry-After header (see Rate Limiting).
Quick Start Guide
Getting Started
Next Steps
Embed a Pre-built Dashboard/Metric
Create embed configurations for your data apps
Create Data App
Create data apps and get your API tokens
How to Embed
Learn how to embed dashboards in your app
API Token Helper
Learn more about API token management

