Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
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Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 9. Test your local app
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Introduction
Outbound Integrations
Firehose Java SDK
Inbound Integrations
Compose ID
Data Hosting Locations
Glossary
Rules Developer Guide
API Credential Management
The Developer's Guided Journey to mParticle
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
The new mParticle Experience
The Overview Map
Introduction
Data Retention
Connections
Activity
Live Stream
Data Filter
Rules
Tiered Events
mParticle Users and Roles
Analytics Free Trial
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Usage metering for value-based pricing (VBP)
Introduction
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
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Analytics Data Manager Overview
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Event Properties
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UTM Guide
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Query Builder Overview
Modify Filters With And/Or Clauses
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Apply All for Filter Where Clauses
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Understanding the Screen View Event
Analyses Introduction
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For Clauses
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Calculator
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Save Your Segmentation Analysis
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Explore Users from Segmentation
Getting Started with Funnels
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Interpreting a Funnel Analysis
Group By
Filters
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Analyze as Cohort from Funnel
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Manage Analyses in Dashboards
Dashboards––Getting Started
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Organize Dashboards
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IDSync Overview
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Components of IDSync
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Default IDSync Configuration
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Aliasing
Overview
Create and Manage Group Definitions
Introduction
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Blocked Data Backfill Guide
Predictive Attributes Overview
Create Predictive Attributes
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Predictive Audiences Overview
Using Predictive Audiences
Introduction
Profiles
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Setup Examples
Introduction
Introduction
Introduction
Rudderstack
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AWS S3 Integration (Define Your Own Schema)
BigQuery (Snowplow Schema)
BigQuery Firebase Schema
BigQuery (Define Your Own Schema)
GCP BigQuery Export
Snowflake (Snowplow Schema)
Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Aliasing
Data Master is underpinned by the Data Planning API. This guide covers the underlying data model and describes how you can use Data Master programmatically via an HTTP API. Some example use cases you can achieve with the Data Planning API are:
The following diagram shows the relationship structure defined by the Data Planning API:
Each Data Point is composed of two key elements, a “criteria” used to match the Data Point within an incoming data stream, and “schema” that is used to validate the contents of the Data Point:
_Ref
, _RecursiveRef
, _RecursiveAnchor
, PatternProperties
, AllOf
, AnyOf
, OneOf
, If
, Not
, Else
, Then
, Dependencies
, DependentRequired
, DependentSchemas
.The Data Planning HTTP API can be used from one of mParticle’s helper SDKs. These SDKs take care of authentication and implement the HTTP contract for you:
You can use the Open API specification (also known as Swagger) below to generate helper SDKs (using Swagger Codegen or OpenAPI Generator) for the Data Planning API:
You can also get started quickly with a Postman collection:
Calls to the Data Planning API are authenticated via mParticle access token, which are based on the JSON Web Token standard. If you’re using one of the helper SDKs, this is taken care of for you.
Name | Type | Description |
---|---|---|
client_id | string |
Your client ID issued by mParticle |
client_secret | string |
Your client secret issued by mParticle |
audience | string |
Set to https://api.mparticle.com |
grant_type | string |
Set to client_credentials |
$ curl --location --request POST 'https://sso.auth.mparticle.com/oauth/token' \
--header 'Content-Type: application/json' \
--data-raw '{
"client_id": "{{client_id}}",
"client_secret": "{{client_secret}}",
"audience": "https://api.mparticle.com",
"grant_type": "client_credentials"
}'
{
"access_token": "YWIxMjdi883GHBBDnjsdKAJQxNjdjYUUJABbg6hdI.8V6HhxW-",
"expires_in" : 28800,
"token_type": "Bearer"
}
Subsequent requests to the HTTP API should be authorized by setting the Authorization
header to the value of access_token
:
Authorization: Bearer YWIxMjdi883GHBBDnjsdKAJQxNjdjYUUJABbg6hdI.8V6HhxW-
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
curl --location --request GET 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans' \
--header 'Authorization: Bearer {{jwt_token}}'
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const dataPlans = await dataPlanService.getDataPlans();
[
{
"data_plan_id": "mobile_data_plan",
"data_plan_name": "Mobile Data Plan",
"data_plan_description": "This is an example data plan description.",
"data_plan_versions": [
{
"version": 1,
"data_plan_id": "mobile_data_plan",
"version_description": "This is my first version!",
"activated_environment": "production",
"created_on": "2019-11-24T14:45:03.013",
"created_by": "developers@mparticle.com",
"last_modified_on": "2019-11-24T18:58:58.233",
"last_modified_by": "developers@mparticle.com"
},
{
"version": 2,
"data_plan_id": "mobile_data_plan",
"version_description": "This is the second version of my plan!",
"activated_environment": "production",
"created_on": "2019-11-24T19:02:26.013",
"created_by": "developers@mparticle.com",
"last_modified_on": "2019-11-24T19:03:13.913",
"last_modified_by": "developers@mparticle.com"
}
],
"created_on": "2019-11-24T14:45:03.007",
"created_by": "developers@mparticle.com",
"last_modified_on": "2020-04-07T14:22:57.777",
"last_modified_by": "developers@mparticle.com"
},
{
"data_plan_id": "foo_bar",
"data_plan_name": "foo bar",
"data_plan_description": "foo_bar",
"data_plan_versions": [
{
"version": 1,
"data_plan_id": "foo_bar",
"activated_environment": "none",
"created_on": "2019-11-25T16:53:16.027",
"created_by": "developers@mparticle.com",
"last_modified_on": "2020-01-14T14:52:11.43",
"last_modified_by": "developers@mparticle.com"
},
{
"version": 2,
"data_plan_id": "foo_bar",
"activated_environment": "none",
"created_on": "2020-04-07T14:28:14.903",
"created_by": "developers@mparticle.com"
}
],
"created_on": "2019-11-25T16:53:16.023",
"created_by": "developers@mparticle.com"
}
]
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
curl --location --request POST 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans' \
--header 'Authorization: Bearer {{jwt_token}}' \
--data-raw '{
"data_plan_id": "example_data_plan",
"data_plan_name": "Mobile Data Plan",
"data_plan_description": "This is an example data plan description.",
"data_plan_versions": [
{
"version": 1,
"data_plan_id": "mobile_data_plan",
"activated_environment": "none",
"version_document": {
"data_points": [
{
"description": "My first data point",
"match": {
"type": "custom_event",
"criteria": {
"event_name": "My Custom Event Name",
"custom_event_type": "other"
}
},
"validator": {
"type": "json_schema",
"definition": {
"properties": {
"data": {
"additionalProperties": true,
"properties": {
"custom_attributes": {
"additionalProperties": false,
"properties": {
"foo": {
"type": "number"
}
},
"required": [
"foo"
]
}
},
"required": [
"custom_attributes"
]
}
}
}
}
}
]
}
}
]
}'
import { DataPlanService } from '@mparticle/data-planning-node';
import { ActivatedEnvironment } from '@mparticle/data-planning-models';
const dataPlanService = new DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const plan = {
data_plan_id: 'example_data_plan',
data_plan_name: 'My Example Data Plan',
data_plan_description: 'This is an example data plan description.',
data_plan_versions: []
}
const version = {
version: 1,
version_description: 'This is an example version description.',
activated_environment: ActivatedEnvironment.Development,
version_document: {
data_points: []
}
};
const datapoint = {
description: "My first data point",
match: {
type: "custom_event",
criteria: {
event_name: "My Custom Event Name",
custom_event_type: "other"
}
},
validator: {
type: "json_schema",
definition: {
properties: {
data: {
additionalProperties: true,
properties: {
custom_attributes: {
additionalProperties: false,
properties: {
foo: {
type: "number"
}
},
required: [
"foo"
]
}
},
required: [
"custom_attributes"
]
}
}
}
}
};
plan.data_plan_versions.push(version);
version.version_document.data_points.push(datapoint);
const createdPlan = await dataPlanService.createDataPlan(plan)
.catch(err => {
console.log(err.status);
console.log(err.response.data);
}
);
{
"data_plan_id": "example_data_plan",
"data_plan_name": "Mobile Data Plan",
"data_plan_description": "This is an example data plan description.",
"data_plan_versions": [
{
"version": 1,
"data_plan_id": "example_data_plan",
"activated_environment": "none",
"created_on": "2020-04-19T14:45:44.403",
"created_by": "client_id:rWW4wEjzksyjcCJXh8RGKrIPwPhHCjLF",
"version_document": {
"data_points": [
{
"description": "My first data point",
"match": {
"type": "custom_event",
"criteria": {
"event_name": "My Custom Event Name",
"custom_event_type": "other"
}
},
"validator": {
"type": "json_schema",
"definition": {
"properties": {
"data": {
"additionalProperties": true,
"properties": {
"custom_attributes": {
"additionalProperties": false,
"properties": {
"foo": {
"type": "number"
}
},
"required": [
"foo"
]
}
},
"required": [
"custom_attributes"
]
}
}
}
}
}
]
}
}
],
"created_on": "2020-04-19T14:45:44.39",
"created_by": "client_id:rWW4wEjzksyjcCJXh8RGKrIPwPhHCjLF"
}
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
plan_id | string |
The ID of the Data Plan to retrieve |
curl --location --request GET 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}' \
--header 'Authorization: Bearer {{jwt_token}}'
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService.DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const dataPlan = await dataPlanService.getDataPlans("example_data_plan_id");
The response will contain the entire Data Plan including all versions. See above for a full JSON example.
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
plan_id | string |
The ID of the Data Plan to retrieve |
curl --location --request PATCH 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}' \
--header 'Authorization: Bearer {{jwt_token}}' \
--data-raw '{
"data_plan_description": "This is an updated description..."
}'
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService.DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
//provide any fields you'd like to update
const updatedPlan = {
data_plan_description: "This is an updated description"
};
const updatedDataPlan = await dataPlanService.updateDataPlan("example_data_plan", updatedPlan)
.catch(err => {
console.log(err.status);
console.log(err.response.data);
}
);
The response will contain the entire Data Plan including all versions. See above for a full JSON example.
Name | Type | Description |
---|---|---|
plan_id | string |
The ID of the data plan to delete |
curl --location --request DELETE 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}' \
--header 'Authorization: Bearer {{jwt_token}}' \
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const deleteDataPlan = await dataPlanService.deleteDataPlan("example_data_plan_id");
A successful request results in an empty 204 response.
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
curl --location --request POST 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}/versions' \
--header 'Authorization: Bearer {{jwt_token}}' \
--data-raw '{
"version": 2,
"version_document": {
"data_points": [
{
"description": "My first data point",
"match": {
"type": "custom_event",
"criteria": {
"event_name": "My Custom Event Name",
"custom_event_type": "other"
}
},
"validator": {
"type": "json_schema",
"definition": {
"properties": {
"data": {
"additionalProperties": true,
"properties": {
"custom_attributes": {
"additionalProperties": false,
"properties": {
"foo": {
"type": "number"
}
},
"required": ["foo"]
}
},
"required": [
"custom_attributes"
]
}
}
}
}
}
]
},
"activated_environment": "development"
}'
import { DataPlanService } from '@mparticle/data-planning-node';
import { ActivatedEnvironment } from '@mparticle/data-planning-models';
const dataPlanService = new DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const version = {
version: 1,
version_description: 'This is an example version description.',
activated_environmment: ActivatedEnvironment.Development,
version_document: {
data_points: []
}
};
const datapoint = {
description: "My first data point",
match: {
type: "custom_event",
criteria: {
event_name: "My Custom Event Name",
custom_event_type: "other"
}
},
validator: {
type: "json_schema",
definition: {
properties: {
data: {
additionalProperties: true,
properties: {
custom_attributes: {
additionalProperties: false,
properties: {
foo: {
type: "number"
}
},
required: [
"foo"
]
}
},
required: [
"custom_attributes"
]
}
}
}
}
};
version.version_document.data_points.push(datapoint);
const createdPlanVersion = await dataPlanService.createDataPlanVersion("example_data_plan_id", 2)
.catch(err => {
console.log(err.status);
console.log(err.response.data);
}
);
The response will contain the entire Data Plan Version including all versions. See above for a full JSON example.
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
plan_id | string |
The ID of the Data Plan to retrieve |
version | integer |
The version of the Data Plan to retrieve |
curl --location --request GET 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}/versions/{{version}}' \
--header 'Authorization: Bearer {{jwt_token}}'
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService.DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const dataPlanVersion = await dataPlanService.getDataPlanVersion("example_data_plan_id", 1)
.catch(err => {
console.log(err.status);
console.log(err.response.data);
}
);
The response will contain the entire Data Plan version. See above for a full JSON example.
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plans |
plan_id | string |
The ID of the Data Plan to retrieve |
version | integer |
The version of the Data Plan to retrieve |
curl --location --request PATCH 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}/versions/{{version}}' \
--header 'Authorization: Bearer {{jwt_token}}' \
--data-raw '{
"version": 2,
"version_document": {
"data_points": [
{
"description": "My first data point, updated",
"match": {
"type": "custom_event",
"criteria": {
"event_name": "My Custom Event Name",
"custom_event_type": "other"
}
},
"validator": {
"type": "json_schema",
"definition": {
"properties": {
"data": {
"additionalProperties": true,
"properties": {
"custom_attributes": {
"additionalProperties": false,
"properties": {
"foo": {
"type": "number"
}
},
"required": [
"foo"
]
}
},
"required": [
"custom_attributes"
]
}
}
}
}
}
]
},
"activated_environment": "development"
}'
const dataPlanService = new DataPlanService.DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const dataPlanVersionUpdate = {
datapoints: [{
description: "My first data point",
match: {
type: "custom_event",
criteria: {
event_name: "My Custom Event Name",
custom_event_type: "other"
}
},
validator: {
type: "json_schema",
definition: {
properties: {
data: {
additionalProperties: true,
properties: {
custom_attributes: {
additionalProperties: false,
properties: {
foo: {
type: "number"
}
},
required: [
"foo"
]
}
},
required: [
"custom_attributes"
]
}
}
}
}
},
{
description: "My second data point",
match: {
type: "custom_event",
criteria: {
event_name: "My Custom Event Name",
custom_event_type: "other"
}
},
validator: {
type: "json_schema",
definition: {
properties: {
data: {
additionalProperties: true,
properties: {
custom_attributes: {
additionalProperties: false,
properties: {
foo: {
type: "number"
}
},
required: [
"foo"
]
}
},
required: [
"custom_attributes"
]
}
}
}
}
}]
}
const updatePlanVersion = await dataPlanService.updateDataPlanVersion("example_data_plan_id, 2, dataPlanVersionUpdate)
.catch(err => {
console.log(err.status);
console.log(err.response.data);
}
);
The response will contain the entire Data Plan version. See above for a full JSON example.
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing your data plan |
plan_id | string |
The ID of the data plan |
version | integer |
The version of the data plan to delete |
curl --location --request DELETE 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/{{plan_id}}/versions/{{version}}' \
--header 'Authorization: Bearer {{jwt_token}}' \
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService({
workspaceId: '{{workspace_id}}',
clientId: '{{client_id}}',
clientSecret: '{{client_secret}}',
});
const deleteDataPlanVersion = await dataPlanService.deleteDataPlanVersion("example_data_plan_id", example_version);
A successful request results in an empty 204 response.
To validate an event batch using the Data Planning API, submit a POST request to https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/validate
, including the JSON formatted event batch you want to validate.
Name | Type | Description |
---|---|---|
workspace_id | integer |
The ID of the workspace containing the data plan version |
curl --location --request POST 'https://api.mparticle.com/platform/v2/workspaces/{{workspace_id}}/plans/validate' \
--header 'Authorization: Bearer {{jwt_token}}' \
--data-raw '{
"document": {
"data_points": [
{
"match": {
"type": "product_impression",
"criteria": {}
},
"validator": {
"type": "json_schema",
"definition": {}
},
"description": "cupidatat"
},
{
"match": {
"type": "custom_event",
"criteria": {
"event_name": "foo-location",
"custom_event_type": "location"
}
},
"validator": {
"type": "json_schema",
"definition": {}
},
"description": "esse proident officia sint"
}
],
"transformations": {
"transformation_id": 70840265.76408121,
"transformation_name": "sunt veniam esse ipsum",
"error_pointer": "enim eiusmod dolore in",
"validation_error_types": [
"unplanned"
],
"schema_keywords": [
"additionalProperties"
],
"json_patch": [
{
"op": "remove",
"from": "incididunt Ut",
"path": "dolor sed officia",
"value": "eu Excepteur exercitation esse"
}
],
"description": "nostrud sunt nulla"
}
},
"batch": {
"environment": "production",
"source_request_id": "ut",
"context": {
"data_plan": {
"plan_id": "aliqua",
"plan_version": 97521295
}
},
"events": [
{
"data": {
"timestamp_unixtime_ms": 79305770,
"source_message_id": "aute nisi",
"session_id": 56869342,
"session_uuid": "do anim",
"session_start_unixtime_ms": -2126166,
"event_start_unixtime_ms": 54299226,
"custom_attributes": {
"dolor__": "incididunt laboris amet elit",
"occaecat41f": "velit aliquip minim do"
},
"location": {
"latitude": {}
},
"device_current_state": {
},
"is_goal_defined": false,
"lifetime_value_change": true,
"lifetime_value_attribute_name": "anim mollit dolore",
"data_connection_type": "Duis sed sint",
"event_num": -85280667,
"view_controller": "fugiat irure velit",
"is_main_thread": false,
"canonical_name": "elit reprehenderit",
"event_system_notification_info": {
"type": {
"value": "<Error: Too many levels of nesting to fake this schema>"
}
}
},
"event_type": "profile"
},
{
"data": {
"timestamp_unixtime_ms": -27715666,
"source_message_id": "ut commodo",
"session_id": 58812755,
"session_uuid": "in nisi exercitation",
"session_start_unixtime_ms": -74726957,
"event_start_unixtime_ms": -99542442,
"custom_attributes": {
"nisi_0": "occaecat quis Lorem"
},
"location": {
},
"device_current_state": {
},
"is_goal_defined": true,
"lifetime_value_change": true,
"lifetime_value_attribute_name": "commodo Ut aliqua",
"data_connection_type": "id offici",
"event_num": 36874422,
"view_controller": "veniam",
"is_main_thread": false,
"canonical_name": "magna est fugiat in",
"event_system_notification_info": {
"type": {
"value": "<Error: Too many levels of nesting to fake this schema>"
}
}
},
"event_type": "screen_view"
}
],
"device_info": {
},
"application_info": {
"application_name": "est magna ad dolor",
"application_version": "cillum Excepteur",
"application_build_number": "magna labore nostrud",
"install_referrer": "exercit",
"package": "Ut aliquip fugiat cillum",
"os": "Unknown",
"apple_search_ads_attributes": {
"enim_ee6": {
"tempor_db": "sint c",
"labore_7d": "non dolore",
"in_4b": "nisi id deserunt exe"
},
"incididunt289": {
"aute_93": "mollit nostrud",
"reprehenderitd1": "nulla incididunt adipisicing sint"
}
}
},
"user_attributes": {
"fugiatd": {}
},
"deleted_user_attributes": [
"ullamco amet",
"enim"
],
"user_identities": {
"other": "non in",
"customer_id": "non laborum incididunt",
"facebook": "tempor incididunt velit",
"twitter": "Lorem velit anim",
"google": "ad consectetur",
"microsoft": "do quis pariatur",
"yahoo": "ex qui",
"email": "est labore",
"alias": "ea Excepteur esse incididunt"
},
"api_key": "in dolore Ut",
"api_keys": [
"culpa labore amet eu",
"aute in do Ut amet"
],
"ip": "iru",
"integration_attributes": {
"cupidatat_7": {
"cupidatat_7bd": "consectetur"
},
"proidentf": {
"pariatur_4": "offici"
}
},
"partner_identity": "cupidatat aute",
"source_info": {
"channel": "native",
"partner": "id ame",
"replay_request_id": "sint irure et",
"replay_job_id": "sed esse",
"is_historical": false
},
"mp_deviceid": "Excepteur dolor",
"attribution_info": {
"service_provider": "voluptate minim",
"publisher": "cill",
"campaign": "officia cillum esse"
},
"timestamp_unixtime_ms": 84190753,
"batch_id": -72216633,
"mpid": -724884,
"sdk_version": "anim cupidatat magna Lorem",
"consent_state": {
"gdpr": {
"regulation": "ut cupidatat",
"document": "labore in",
"consented": true,
"timestamp_unixtime_ms": -70914984,
"location": "consectetur magna qui incididunt",
"hardware_id": "non sit"
}
},
"job_id": "sint nulla incididunt do"
}
}'
import { DataPlanService } from '@mparticle/data-planning-node';
const dataPlanService = new DataPlanService();
// Fetch Data Plan Version asynchronously
const dataPlanVersion = await dataPlanService
.getVersionDocument(<organizationId>, <accountId>, 'my_custom_data_plan, <workspaceId>, 3, <token>);
const batchValidationResults = dataPlanService.validateBatch(batch, dataPlanVersion.version_document);
const eventValidationResults = dataPlanService.validateEvent(event, dataPlanVersion.version_document);
A successful request will receive a 200 OK response with the JSON formatted validation results, including any validation errors.
{
"results": [
{
"data": {
"match": {
"type": "product_impression",
"criteria": {
"value": "<Error: Too many levels of nesting to fake this schema>"
}
},
"validation_errors": [
{
"validation_error_type": "unknown",
"key": "event name or attribute name",
"error_pointer": "#/data/custom_attributes/foo-attr-1",
"expected": "null for unplanned entities, the entity name for missing required entities, a data type (e.g. \"number\") for invalid data types, etc",
"actual": "the entity name for unplanned entities, null for missing required entities, a data type (e.g. \"string\") for invalid data types, etc",
"action_expected": "drop_batch",
"schema_keyword": "unevaluatedItems"
},
{
"validation_error_type": "missing_required",
"key": "event name or attribute name",
"error_pointer": "#/data/custom_attributes/foo-attr-1",
"expected": "null for unplanned entities, the entity name for missing required entities, a data type (e.g. \"number\") for invalid data types, etc",
"actual": "the entity name for unplanned entities, null for missing required entities, a data type (e.g. \"string\") for invalid data types, etc",
"action_expected": "drop_attribute",
"schema_keyword": "$ref"
}
],
"validated_event_id": -86884668.51948906,
"validated_source_message_id": "nostrud in",
"executed_transformations": {
"transformation_id": 97592156.55532053,
"transformation_status": "failure",
"transformation_error_type": "events_schema_violated",
"transformation_error_message": "pariatur enim",
"transformation_error_pointer": "adipi"
},
"timestamp_unixtime_ms": 17037035,
"event_id": -42247328,
"source_message_id": "e",
"session_id": 23278782,
"session_uuid": "aute fugiat",
"session_start_unixtime_ms": -6796583,
"event_start_unixtime_ms": 2872240,
"custom_attributes": {
"enimdcc": "dolor veniam ullamco",
"labore_3": "incididunt cillum"
},
"location": {
"latitude": 31814706.829063505,
"longitude": 63133216.60368088,
"accuracy": -11147420.056862295
},
"device_current_state": {
"time_since_start_ms": 40749038,
"battery_level": -44992792.32572158,
"data_connection_type": "Lorem fugiat",
"data_connection_type_detail": "anim cillum cupidatat",
"gps_state": true,
"total_system_memory_usage_bytes": -91208220,
"disk_space_free_bytes": 55999300,
"external_disk_space_free_bytes": -60627957,
"cpu": "eu laborum",
"system_memory_available_bytes": -39377379.67096515,
"system_memory_low": true,
"system_memory_threshold_bytes": 57785935.21112856,
"application_memory_available_bytes": 19617182.87110643,
"application_memory_max_bytes": -85980007.07383266,
"application_memory_total_bytes": -59964684.77254946,
"device_orientation": "portrait",
"status_bar_orientation": "portrait"
},
"is_goal_defined": false,
"lifetime_value_change": false,
"lifetime_value_attribute_name": "veniam",
"data_connection_type": "anim tempor elit",
"event_num": -33080120,
"view_controller": "enim aliquip",
"is_main_thread": true,
"canonical_name": "enim ea sint",
"event_system_notification_info": {
"type": "gdpr_change"
}
}
},
{
"data": {
"match": {
"type": "user_attributes",
"criteria": {
"value": "<Error: Too many levels of nesting to fake this schema>"
}
},
"validation_errors": [
{
"validation_error_type": "unplanned",
"key": "event name or attribute name",
"error_pointer": "#/data/custom_attributes/foo-attr-1",
"expected": "null for unplanned entities, the entity name for missing required entities, a data type (e.g. \"number\") for invalid data types, etc",
"actual": "the entity name for unplanned entities, null for missing required entities, a data type (e.g. \"string\") for invalid data types, etc",
"action_expected": "allow",
"schema_keyword": "examples"
}
],
"validated_event_id": -68430764.95735234,
"validated_source_message_id": "eu velit sit aliqua",
"executed_transformations": {
"transformation_id": -33544224.17781522,
"transformation_status": "unchanged",
"transformation_error_type": "unrecognized_data_point",
"transformation_error_message": "Lorem",
"transformation_error_pointer": "commodo nostrud ut reprehenderit do"
},
"timestamp_unixtime_ms": -69435754,
"event_id": -76370058,
"source_message_id": "velit sed laborum",
"session_id": -97492351,
"session_uuid": "sed",
"session_start_unixtime_ms": -50784535,
"event_start_unixtime_ms": 57530189,
"custom_attributes": {
"eiusmod_30": "tempor nostrud nisi",
"dolorccb": "pariatur in",
"eiusmod94": "culpa exercitation tempor deserunt"
},
"location": {
"latitude": 95229562.92556664,
"longitude": -96622601.0764705,
"accuracy": 36701747.652133465
},
"device_current_state": {
"time_since_start_ms": 11072060,
"battery_level": -84232337.02036467,
"data_connection_type": "in eiusmod in ex dolore",
"data_connection_type_detail": "ullamco dolor ex aute occa",
"gps_state": false,
"total_system_memory_usage_bytes": 3388989,
"disk_space_free_bytes": 64499047,
"external_disk_space_free_bytes": 85198972,
"cpu": "culpa exerc",
"system_memory_available_bytes": 10853264.360540748,
"system_memory_low": false,
"system_memory_threshold_bytes": 39663588.05889803,
"application_memory_available_bytes": -18402065.272555396,
"application_memory_max_bytes": -28878159.212003946,
"application_memory_total_bytes": 16887590.291536763,
"device_orientation": "LandscapeLeft",
"status_bar_orientation": "landscape"
},
"is_goal_defined": false,
"lifetime_value_change": false,
"lifetime_value_attribute_name": "adipisicing veniam",
"data_connection_type": "enim",
"event_num": -93170864,
"view_controller": "irure ipsum ullamco",
"is_main_thread": false,
"canonical_name": "velit consectetur",
"event_system_notification_info": {
"type": "gdpr_change"
}
}
}
],
"batch": {}
}
results: [
{
data: {
match: {
type: 'screen_view',
criteria: {
screen_name: 'Test Screen View',
},
},
validation_errors: [
{
error_pointer: '#/data',
key: 'data',
expected: 'custom_flags',
schema_keyword: 'required',
validation_error_type: 'missing_required',
},
],
},
event_type: 'validation_result',
},
],
The following rate limits are enforced for all requests to the Data Planning API regardless of the data localization pod used.
Resource | Limits | Details |
---|---|---|
Requests per minute per account | 3000 requests per minute | This limit applies to all GET, POST, and PATCH API actions. |
Requests per minute per organization | 6000 requests per minute | This limit applies to all GET, POST, and PATCH API actions. |
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