programmatic-filters

Domo Programmatic Filtering

Control what data each viewer sees in embedded Domo content via server-side filters and dataset switching. Enforced by Domo — end users can't bypass. For client-side filtering, see jsapi-filters.

How It Works

A proxy user (service account) acts on behalf of all viewers. Your server:

1. Authenticates with Domo (OAuth client credentials → access token)
2. Requests an embed token with viewer-specific filters
3. Returns the token to the client, which POSTs it to an iframe

Prerequisites

• Domo API client with CLIENT_ID and CLIENT_SECRET (developer.domo.com > My Account > New Client)
• Embed ID (5-char ID from the embed dialog, not the page URL)
• Dataset column names/IDs for filtering

All auth must happen server-side (CORS restrictions). Never expose credentials client-side.

The Embed Token Flow

Step 1: Get an Access Token

POST https://api.domo.com/oauth/token?grant_type=client_credentials&scope=data%20audit%20user%20dashboard
Authorization: Basic base64(CLIENT_ID:CLIENT_SECRET)

Node.js:

const credentials = Buffer.from(`${CLIENT_ID}:${CLIENT_SECRET}`).toString('base64')

const response = await fetch(
  'https://api.domo.com/oauth/token?grant_type=client_credentials&scope=data%20audit%20user%20dashboard',
  {
    method: 'GET',
    headers: { Authorization: `Basic ${credentials}` }
  }
)

const { access_token } = await response.json()

Python:

import requests
from base64 import b64encode

credentials = b64encode(f"{CLIENT_ID}:{CLIENT_SECRET}".encode()).decode()

response = requests.get(
    "https://api.domo.com/oauth/token",
    params={"grant_type": "client_credentials", "scope": "data audit user dashboard"},
    headers={"Authorization": f"Basic {credentials}"}
)

access_token = response.json()["access_token"]

Step 2: Request an Embed Token with Filters

Use the access token to request an embed token, including your filters in the authorizations payload:

For dashboards:

POST https://api.domo.com/v1/stories/embed/auth
Authorization: Bearer {access_token}
Content-Type: application/json

For cards:

POST https://api.domo.com/v1/cards/embed/auth
Authorization: Bearer {access_token}
Content-Type: application/json

Payload structure:

{
  "sessionLength": 1440,
  "authorizations": [
    {
      "token": "<embed_id>",
      "permissions": ["READ", "FILTER", "EXPORT"],
      "filters": [],
      "policies": []
    }
  ]
}

• sessionLength: Token validity in minutes (1440 = 24 hours)
• token: The embed ID for the dashboard or card
• permissions: Array of granted permissions — READ, FILTER, EXPORT
• filters: Array of standard filter objects (see below)
• policies: Array of PDP policy IDs to apply (optional)

The response includes an authentication property containing the embed token.

Step 3: Render the Embed

Submit via hidden POST form targeting an iframe. Dashboard: https://public.domo.com/embed/pages/{embed_id}, Card: https://public.domo.com/cards/{embed_id}

<iframe id="domo-embed" name="domo-embed" width="100%" height="600"></iframe>

<form id="embed-form" action="https://public.domo.com/embed/pages/{embed_id}" method="POST" target="domo-embed">
  <input type="hidden" name="embedToken" value="{embed_token}" />
</form>

<script>document.getElementById('embed-form').submit();</script>

POST submission prevents the token from appearing in URLs or browser history.

---

Filter Types

Two types: standard filters and SQL filters, both in the embed token request.

Standard Filters

{
  "column": "Region",
  "operator": "IN",
  "values": ["West", "East"]
}

Required properties:

Property	Type	Description
column	string	The exact column name in the dataset
operator	string	The comparison operator (see table below)
values	array	Values to filter against

Optional properties:

Property	Type	Description
datasourceId	string (UUID)	Restrict filter to a specific dataset. Without this, the filter applies to all datasets in the embed that have a matching column name.

Operators

Operator	Description	Typical Use
IN	Column value is in the list	Multi-value match
NOT_IN	Column value is not in the list	Exclusion
EQUALS	Column value equals	Single-value exact match
NOT_EQUALS	Column value does not equal	Single-value exclusion
GREATER_THAN	Column value is greater than	Numeric/date range
GREATER_THAN_EQUALS_TO	Column value is greater than or equal	Numeric/date range
LESS_THAN	Column value is less than	Numeric/date range
LESS_THAN_EQUALS_TO	Column value is less than or equal	Numeric/date range

Standard Filter Examples

Single filter — show only West region:

{
  "filters": [
    {
      "column": "Region",
      "operator": "IN",
      "values": ["West"]
    }
  ]
}

Multiple filters — West region, revenue over 10000:

{
  "filters": [
    {
      "column": "Region",
      "operator": "IN",
      "values": ["West"]
    },
    {
      "column": "Revenue",
      "operator": "GREATER_THAN",
      "values": [10000]
    }
  ]
}

Dataset-specific filter — only apply to one dataset in a multi-dataset dashboard:

{
  "filters": [
    {
      "column": "Region",
      "operator": "IN",
      "values": ["West"],
      "datasourceId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
    }
  ]
}

SQL Filters

For complex logic (OR, BETWEEN, LIKE, nested expressions), use SQL WHERE syntax via sqlFilters (sibling to filters, not nested).

{
  "authorizations": [
    {
      "token": "<embed_id>",
      "permissions": ["READ", "FILTER", "EXPORT"],
      "filters": [],
      "sqlFilters": [
        {
          "sqlFilter": "`Region` IN ('West', 'East') AND `Revenue` > 10000",
          "datasourceIds": ["xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"]
        }
      ]
    }
  ]
}

Required properties:

Property	Type	Description
sqlFilter	string	SQL WHERE clause syntax

Optional properties:

Property	Type	Description
datasourceIds	string[]	Array of dataset UUIDs to apply the filter to

Syntax Rules

Column names in backticks, strings in single quotes, numerics unquoted. Supports: IN, NOT IN, BETWEEN, LIKE, AND, OR, IS NULL, IS NOT NULL. Use parentheses for grouping.

SQL Filter Examples

OR condition (not possible with standard filters alone):

{
  "sqlFilter": "`Region` = 'West' OR `Department` = 'Sales'"
}

BETWEEN for date ranges:

{
  "sqlFilter": "`Order Date` BETWEEN '2024-01-01' AND '2024-12-31'"
}

LIKE for partial matching:

{
  "sqlFilter": "`Product Name` LIKE '%Pro%'"
}

Complex nested logic:

{
  "sqlFilter": "(`Region` IN ('West', 'East') AND `Revenue` > 10000) OR `Priority` = 'Critical'"
}

Targeting specific datasets:

{
  "sqlFilter": "`Status` = 'Active'",
  "datasourceIds": [
    "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
    "yyyyyyyy-yyyy-yyyy-yyyy-yyyyyyyyyyyy"
  ]
}

Combining Standard and SQL Filters

Both can coexist in one authorization. Standard filters apply first, then SQL filters narrow further:

{
  "token": "<embed_id>",
  "permissions": ["READ", "FILTER", "EXPORT"],
  "filters": [
    {
      "column": "Region",
      "operator": "IN",
      "values": ["West"]
    }
  ],
  "sqlFilters": [
    {
      "sqlFilter": "`Revenue` > 10000 OR `Priority` = 'Critical'"
    }
  ]
}

---

Common Patterns

Per-User Filtering

Store user-to-filter mappings in your database, look up at embed time:

// Pseudocode — adapt to your framework and data layer
async function getEmbedTokenForUser(userId: string, embedId: string) {
  const user = await getUser(userId)
  const dashboard = user.dashboards.find(d => d.embedId === embedId)

  const filters = dashboard.filters.map(f => ({
    column: f.column,
    operator: f.operator,
    values: f.values
  }))

  const accessToken = await getDomoAccessToken()
  const embedToken = await getDomoEmbedToken(accessToken, embedId, filters)

  return embedToken
}

Role-Based Filtering

Apply different filters based on user role rather than individual assignments:

function getFiltersForRole(role: string): Filter[] {
  switch (role) {
    case 'regional-manager':
      return [{ column: 'Region', operator: 'IN', values: [user.region] }]
    case 'executive':
      return [] // No filters — sees everything
    case 'analyst':
      return [{ column: 'Department', operator: 'EQUALS', values: [user.department] }]
    default:
      return [{ column: 'Public', operator: 'EQUALS', values: ['true'] }]
  }
}

---

Dataset Switching

Redirect the underlying dataset of an embedded dashboard at embed time — useful for multi-tenant architectures where each customer has their own dataset with the same schema.

How It Works

Pass datasetRedirects in the authorization object (original dataset ID → target dataset ID):

{
  "sessionLength": 1440,
  "authorizations": [
    {
      "token": "<embed_id>",
      "permissions": ["READ", "FILTER", "EXPORT"],
      "filters": [],
      "datasetRedirects": {
        "original-dataset-uuid-1": "target-dataset-uuid-1",
        "original-dataset-uuid-2": "target-dataset-uuid-2"
      }
    }
  ]
}

Target datasets must match the original schema (column names and types).

Combining with Filters

Redirects apply first, then filters run against the swapped dataset:

{
  "sessionLength": 1440,
  "authorizations": [
    {
      "token": "<embed_id>",
      "permissions": ["READ", "FILTER", "EXPORT"],
      "datasetRedirects": {
        "a19d0ef1-ca31-4bfd-b168-018b93109671": "a19d0ef1-ca31-4bfd-b168-018b93109672"
      },
      "filters": [
        { "column": "Color", "operator": "IN", "values": ["Red"] },
        { "column": "Model", "operator": "IN", "values": ["Mountain", "Road", "Commuter"] }
      ]
    }
  ]
}

Per-User Dataset Switching

Map each tenant to their dataset IDs:

function getDatasetRedirects(tenant: Tenant): Record<string, string> {
  // The template dashboard was built on these "original" datasets
  const templateDatasets = {
    sales: 'aaaa-bbbb-cccc-dddd',
    inventory: 'eeee-ffff-gggg-hhhh'
  }

  // Each tenant has their own copies
  return {
    [templateDatasets.sales]: tenant.salesDatasetId,
    [templateDatasets.inventory]: tenant.inventoryDatasetId
  }
}

Important Notes

• Schema must match — column names and types must be identical (cards, filters, and calculated fields reference by name)
• Partial redirects OK — redirect all, some, or none of a dashboard's datasets
• Compatible with all filter types — redirects apply first, then standard/SQL/PDP filters

---

Gotchas and Best Practices

• JWT size limit (~8KB): Long value lists hit this. Solutions: aggregate columns in Domo, use SQL filters, or split with datasourceId targeting.
• Column name matching: Exact spelling and case required. Without datasourceId, filters apply to all datasets with a matching column.
• Token refresh: Cache access tokens, refresh before expiry. Generate embed tokens per-request.
• Empty filters: [] means no filtering (user sees everything). Always include the filters key — don't omit it.
• Filter validation: values must be an array (even for EQUALS). Numerics must be numbers, not strings. Operator names are exact (GREATER_THAN_EQUALS_TO, not GREATER_THAN_OR_EQUAL).
• Security: Never generate tokens client-side. Validate embed ID authorization and filter values server-side. Use minimum permissions (omit EXPORT if not needed).

---

TypeScript Type Definitions

type FilterOperator =
  | 'IN'
  | 'NOT_IN'
  | 'EQUALS'
  | 'NOT_EQUALS'
  | 'GREATER_THAN'
  | 'GREATER_THAN_EQUALS_TO'
  | 'LESS_THAN'
  | 'LESS_THAN_EQUALS_TO'

interface StandardFilter {
  column: string
  operator: FilterOperator
  values: (string | number)[]
  datasourceId?: string
}

interface SqlFilter {
  sqlFilter: string
  datasourceIds?: string[]
}

type EmbedPermission = 'READ' | 'FILTER' | 'EXPORT'

interface EmbedAuthorization {
  token: string
  permissions: EmbedPermission[]
  filters: StandardFilter[]
  sqlFilters?: SqlFilter[]
  policies?: string[]
  datasetRedirects?: Record<string, string>  // originalDatasetId → targetDatasetId
}

interface EmbedTokenRequest {
  sessionLength: number
  authorizations: EmbedAuthorization[]
}

---

Quick Reference

Read references/api-endpoints.md for the complete list of Domo API endpoints used in programmatic filtering.