Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Key Management
Platform API Overview
Accounts
Apps
Audiences
Calculated Attributes
Data Points
Feeds
Field Transformations
Services
Users
Workspaces
Warehouse Sync API Overview
Warehouse Sync API Tutorial
Warehouse Sync API Reference
Data Mapping
Warehouse Sync SQL Reference
Warehouse Sync Troubleshooting Guide
ComposeID
Warehouse Sync API v2 Migration
Audit Logs API
Calculated Attributes Seeding API
Bulk Profile Deletion API Reference
Custom Access Roles API
Household Reach API Reference
Data Planning API
Pixel Service
Profile API
Events API
mParticle JSON Schema Reference
IDSync
AMP SDK
Initialization
Configuration
Network Security Configuration
Event Tracking
User Attributes
IDSync
Screen Events
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Push Notifications
WebView Integration
Logger
Preventing Blocked HTTP Traffic with CNAME
Workspace Switching
Linting Data Plans
Troubleshooting the Android SDK
API Reference
Upgrade to Version 5
Upgrade to Version 6
Cordova Plugin
Identity
Direct URL Routing FAQ
Web
Android
iOS
Workspace Switching
Initialization
Configuration
Event Tracking
User Attributes
IDSync
Screen Tracking
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Push Notifications
Webview Integration
Upload Frequency
Preventing Blocked HTTP Traffic with CNAME
Linting Data Plans
Troubleshooting iOS SDK
Social Networks
iOS 14 Guide
iOS 15 FAQ
iOS 16 FAQ
iOS 17 FAQ
iOS 18 FAQ
API Reference
Upgrade to Version 7
Upgrade to Version 9
Getting Started
Identity
Getting Started
Identity
Upload Frequency
Getting Started
Opt Out
Initialize the SDK
Event Tracking
Commerce Tracking
Error Tracking
Screen Tracking
Identity
Location Tracking
Session Management
Initialization
Configuration
Content Security Policy
Event Tracking
User Attributes
IDSync
Page View Tracking
Commerce Events
Location Tracking
Media
Kits
Application State and Session Management
Data Privacy Controls
Error Tracking
Opt Out
Custom Logger
Persistence
Native Web Views
Self-Hosting
Multiple Instances
Web SDK via Google Tag Manager
Preventing Blocked HTTP Traffic with CNAME
Facebook Instant Articles
Troubleshooting the Web SDK
Browser Compatibility
Linting Data Plans
API Reference
Upgrade to Version 3 of the SDK
Alexa
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
Node SDK
Go SDK
Python SDK
Ruby SDK
Java SDK
Introduction
Outbound Integrations
Firehose Java SDK
Inbound Integrations
Compose ID
Data Hosting Locations
Glossary
Migrate from Segment to mParticle
Migrate from Segment to Client-side mParticle
Migrate from Segment to Server-side mParticle
Segment-to-mParticle Migration Reference
Rules Developer Guide
API Credential Management
The Developer's Guided Journey to mParticle
Composable Audiences Overview
User Guide Overview
Warehouse Setup Overview
Audience Setup
Frequently Asked Questions
Overview
Overview
User Profiles
Household Reach
Calculated Attributes Overview
Using Calculated Attributes
Create with AI Assistance
Calculated Attributes Reference
Predictions Overview
What's Changed in the New Predictions UI
View and Manage Predictions
Future Behavior Predictions Overview
Create Future Behavior Prediction
Manage Future Behavior Predictions
Create an Audience with Future Behavior Predictions
Identity Dashboard
Identity Logs
Create an Input
Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
Usage and Billing Report
The new mParticle Experience
The Overview Map
Observability Overview
Observability User Guide
Observability Troubleshooting Examples
Observability Span Glossary
Key Management
Audit Logs
Platform Configuration
Event Forwarding
Event Match Quality Dashboard
Notifications
System Alerts
Trends
Introduction
Data Retention
Data Catalog
Connections
Activity
Data Plans
Live Stream
Filters
Consent Filters
Rules
Blocked Data Backfill Guide
Tiered Events
mParticle Users and Roles
Analytics Free Trial
Troubleshooting mParticle
Usage metering for value-based pricing (VBP)
IDSync Overview
Use Cases for IDSync
Components of IDSync
Store and Organize User Data
Identify Users
Default IDSync Configuration
Profile Conversion Strategy
Profile Link Strategy
Profile Isolation Strategy
Best Match Strategy
Aliasing
Audiences Overview
Create an Audience
Connect an Audience
Manage Audiences
Audience Insights
Audience Sharing
Match Boost
Inclusive & Exclusive Audiences Overview
Using Logic Blocks in Audiences
Combining Inclusive and Exclusive Audiences
Inclusive & Exclusive Audiences FAQ
Audience Expansion
Predictive Audiences Overview
Using Predictive Audiences
Overview
Explore Your Data
Build Audiences
Create Predictions
Data and Privacy
mParticle Agent FAQ
Introduction
Core Analytics (Beta)
Sync and Activate Analytics User Segments in mParticle
User Segment Activation
Welcome Page Announcements
Project Settings
Roles and Teammates
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Global Project Filters
Portfolio Analytics
Analytics Data Manager Overview
Events
Event Properties
User Properties
Revenue Mapping
Export Data
UTM Guide
Analyses Introduction
Getting Started
Visualization Options
For Clauses
Date Range and Time Settings
Calculator
Numerical Settings
Assisted Analysis
Properties Explorer
Frequency in Segmentation
Trends in Segmentation
Did [not] Perform Clauses
Cumulative vs. Non-Cumulative Analysis in Segmentation
Total Count of vs. Users Who Performed
Save Your Segmentation Analysis
Export Results in Segmentation
Explore Users from Segmentation
Getting Started with Funnels
Group By Settings
Conversion Window
Tracking Properties
Date Range and Time Settings
Visualization Options
Interpreting a Funnel Analysis
Group By
Filters
Conversion over Time
Conversion Order
Trends
Funnel Direction
Multi-path Funnels
Analyze as Cohort from Funnel
Save a Funnel Analysis
Explore Users from a Funnel
Export Results from a Funnel
Saved Analyses
Manage Analyses in Dashboards
Data Dictionary
Query Builder Overview
Modify Filters With And/Or Clauses
Query-time Sampling
Query Notes
Filter Where Clauses
Event vs. User Properties
Group By Clauses
Annotations
Cross-tool Compatibility
Apply All for Filter Where Clauses
Date Range and Time Settings Overview
User Attributes at Event Time
Understanding the Screen View Event
User Aliasing
Dashboards––Getting Started
Manage Dashboards
Dashboard Filters
Organize Dashboards
Scheduled Reports
Favorites
Time and Interval Settings in Dashboards
Query Notes in Dashboards
The Demo Environment
Keyboard Shortcuts
User Segments
Data Privacy Controls
Data Subject Requests
Default Service Limits
Feeds
Import Data with CSV Files
CSV File Reference
SFTP Credentials
Glossary
Video Index
Single Sign-On (SSO)
Setup Examples
Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
Advanced Data Warehouse Settings
AWS Kinesis (Snowplow)
AWS Redshift (Define Your Own Schema)
AWS S3 Integration (Define Your Own Schema)
AWS S3 (Snowplow 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
Event
Audience
Audience
Event
Feed
Cookie Sync
Platform SDK Events
Server-to-Server Events
Audience
Audience
Audience
Event
Feed
Event
Audience
Event
Event
Data Warehouse
Event
Event
Audience
Feed
Event
Event
Event
Event
Event
Event
Audience
Feed
Event
Event
Audience
Feed
Event
Event
Event
Custom Feed
Event
Data Warehouse
Event
Audience
Audience
Audience
Event
Audience
Event
Event
Event
Event
Event
Audience
Event
Audience
Event
Event
Audience
Data Warehouse
Event
Audience
Cookie Sync
Event
Event
Event
Event
Event
Feed
Feed
Event
Event
Kit
Event
Audience
Event
Event
Audience
Event
Event
Event
Feed
Audience
Event
Audience
Event
Audience
Event
Audience
Audience
Audience
Microsoft Ads Audience Integration
Event
Audience
Event
Event
Event
Event
Feed
Event
Event
Event
Event
Event
Feed
Audience
Event
Event
Event
Event
Event
Event
Event
Event
Event
Event
Feed
Event
Event
Audience
Custom Pixel
Feed
Event
Event
Event
Event
Audience
Event
Event
Audience
Data Warehouse
Event
Event
Audience
Audience
Event
Feed
Loyalty Feed
Audience
Event
Audience
Audience
Audience
Audience
Cookie Sync
Event
Feed
Audience
Event
Audience
Event
Audience
Event
Event
Event
Event
Audience
Audience
Cookie Sync
Feed
Audience
Audience
Cookie Sync
No. The agent provides answers and prepares proposals for supported tasks. It doesn’t apply a proposed change until you explicitly confirm it.
It tells you what it could and couldn’t resolve, then asks a focused question or offers the closest useful next step. It won’t guess silently or invent event or attribute names.
For detailed information about what data the mParticle Agent can access, how it handles and processes the data it can access, and the related privacy implications of the mParticle Agent, see Data and Privacy.
The mParticle Agent creates individual real-time audiences, including hybrid real-time audiences that use eligible existing Composable Audience membership. It cannot create Composable Audiences or multi-node audience groups.
No. The agent can recommend an audience group when your business goal would be best achieved with a multi-node audience, but it can’t create or restructure audience groups. Use the Audience Builder and the Audience Group Editor when you need to create and manage audience groups.
The mParticle Agent cannot create a Composable Audience. It can use an eligible existing Composable Audience as membership in one individual real-time audience. When that membership is combined with live behavioral criteria, the result is a hybrid real-time audience.
No. The agent can review available information about a saved audience, but it can’t edit, replace, activate, deactivate, or delete an audience. Use the Audience Builder to make changes to saved audiences.
The mParticle Agent can use an existing calculated or predictive attribute in a supported audience definition when the attribute is active and available to you. If the attribute is unavailable, the agent explains the dependency and directs you to the appropriate workflow. It cannot create calculated attributes or modify existing predictive attributes. For supported prediction-based audiences, see “Which predictions can the mParticle Agent use to create an audience?” below.
The mParticle Agent can’t apply these features while building an audience, but you can apply them through the standard Audiences workflow after saving.
No. After you save an audience, follow the standard workflow to activate it and connect it to an output. For instructions, see Connect an Audience.
The mParticle Agent can create Future Behavior predictions after you review and confirm a proposal. It cannot create Similar Customers or Best Offering predictions; you must create those yourself in the Predictions workflow.
The agent can recommend any of the three prediction types for your business goal. It can also review saved configurations and interpret current usable results for all three.
Calculation Readiness is a pre-creation assessment of whether a completed Future Behavior definition appears likely to calculate. It can be Checking, Ready, At risk, Blocked, or Unverified. Calculation Readiness is separate from configuration completeness and pipeline capacity, and it does not guarantee a successful calculation or final Strength.
Calculation can take up to 24 hours. The prediction is not ready for targeting until it is Active and has current usable results. You can return to the prediction later to review its status and continue the workflow.
A failed current run is not usable. Values from a previous successful calculation may remain on profiles, but they are stale and should not be treated as current results. The Agent can help you understand the current state and consider another supported approach, but it does not edit or retry a failed saved prediction.
No. Review the prediction details and select the exact target range that fits your use case. The Agent can explain the current status, freshness, Strength, and other available quality information, but it does not recommend, choose, or change the target range.
The agent can create one new individual real-time audience from a Future Behavior or Similar Customers prediction that is Active and has current usable results. You must select the exact target range yourself before the agent prepares the audience, and confirm the proposal before it saves the audience.
The agent cannot create an individual audience from a Best Offering prediction through this workflow because Best Offering requires a multi-node audience. Connect and activate a saved audience through the standard Audiences workflow.
To investigate the data available in your workspace, see Explore Your Data.
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