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Troubleshooting iOS SDK
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API Reference
Upgrade to Version 7
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Getting Started
Identity
Upload Frequency
Getting Started
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Initialize the SDK
Event Tracking
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Error Tracking
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Identity
Location Tracking
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Initialization
Configuration
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Location Tracking
Media
Kits
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Data Privacy Controls
Error Tracking
Opt Out
Custom Logger
Persistence
Native Web Views
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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 2 of the SDK
Getting Started
Identity
Alexa
Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
Key Management
Platform API Overview
Accounts
Apps
Audiences
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Data Points
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Field Transformations
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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
Bulk Profile Deletion API Reference
Calculated Attributes Seeding API
Custom Access Roles API
Data Planning API
Group Identity API Reference
Pixel Service
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mParticle JSON Schema Reference
IDSync
Node SDK
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Java SDK
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
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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
Overview
Create and Manage Group Definitions
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
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Create an Audience with Future Behavior Predictions
Identity Dashboard
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Start capturing data
Connect an Event Output
Create an Audience
Connect an Audience Output
Transform and Enhance Your Data
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The new mParticle Experience
The Overview Map
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Observability User Guide
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Analytics Free Trial
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IDSync Overview
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Aliasing
Audiences Overview
Create an Audience
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Match Boost
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Inclusive & Exclusive Audiences Overview
Using Logic Blocks in Audiences
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Inclusive & Exclusive Audiences FAQ
Audience Agent Overview
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Predictive Audiences Overview
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Getting Started
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Introduction
Introduction
Introduction
Rudderstack
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Snowflake (Define Your Own Schema)
Aliasing
Event
Audience
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Feed
Audience
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Audience
Event
Feed
Audience
Event
Event
Event
Data Warehouse
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Event
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Event
Event
Event
Event
Event
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Event
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Event
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Event
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Audience
Audience
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Event
Microsoft Ads Audience Integration
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Event
Event
Feed
Event
Event
Event
Event
Event
Event
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Event
Event
Event
Event
Event
Event
Event
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Event
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Event
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Feed
Audience
The Audience Agent reasons over your workspace’s data to recommend and build audiences. This page explains what data the agent reads, what it shows you, how it handles personal data, how that data is secured, and where it is processed, so you can confirm the agent fits your privacy and governance requirements before using it.
The agent runs under your authenticated mParticle session and is scoped to the workspaces and permissions your account can access.
By default:
Most audience building uses catalog metadata, such as event and attribute names, and aggregate analytics, such as counts, volumes, and coverage. When your permissions and workspace configuration allow it, the agent may also inspect user attributes or event values to help build accurate audience rules. For example, it may confirm whether a subscription status field stores values like “active,” “true,” or “premium” so it can propose a rule that matches your data.
This user and event data may include personal information if your organization stores personal information in those fields. The agent is designed to have access to only the minimum amount of data needed to perform the task, including personal information. If value inspection is restricted, the agent won’t access those stored values and may ask you to provide the exact value needed.
When the agent uses event and user data, that data is processed under the same customer agreements that govern the rest of the mParticle platform, including processing by the model provider described in Where data is processed.
The Audience Agent is designed not to expose personally identifiable information (PII) in your conversation. It won’t list stored email addresses or phone numbers, it won’t list audience members, and it won’t allow you to extract PII. It can use those fields structurally, for example targeting users who have an email address on file, without revealing anyone’s actual address.
The Audience Agent can show you non-PII business labels. It can show you fields such as a subscription status field storing “active” and “churned,” when seeing the choices helps you pick the right rule.
Individual user data stays permission-gated: the agent reads a specific user’s profile or event history only when your own permissions allow it and you provide that user’s mParticle ID.
If a naming convention in your workspace embeds personal information in a name or label, the agent can read it the same way other platform features can. As a best practice, don’t include personal information, such as a person’s name or email address, in event names, attribute names, or other labels.
The agent is read-only until you explicitly save a new audience definition. It cannot modify existing audiences or workspace configuration.
The agent cannot:
Creating an audience and activating it are deliberately separate steps. After you save a definition, you connect and activate it yourself through the normal flow. See Connect an Audience.
The agent may use permission-gated event and user and event data when available and needed (limited by your own user permissions), but most audience work uses metadata, aggregate analytics, and audience definitions. A few additional safeguards govern how it handles your data:
The agent is not a path for exporting personal data or bypassing your workspace’s privacy controls.
The agent uses the same authentication and permission controls as the rest of the mParticle platform, and those controls are enforced by the platform itself, not by instructions given to the agent.
Data the agent works with is protected the same way as data anywhere else in mParticle: encrypted in transit and encrypted at rest. This includes requests sent to the model provider described in Where data is processed, which are encrypted in transit like all other mParticle traffic.
Agent activity is logged under the same security model as other mParticle platform logs, and log access is restricted to a limited set of authorized personnel.
The Audience Agent is an optional supplement to the manual Audience Builder, not a required replacement for it. Both remain available, so you can use whichever you prefer for any given audience. If your organization would rather the agent not be available at all in your account, contact your mParticle account representative to disable it.
The Audience Agent uses a large language model from OpenAI to interpret your requests and generate its responses. When you chat with the agent, your messages and the workspace context needed to answer them, such as catalog metadata and attribute values, are encrypted and sent to OpenAI for processing under mParticle’s agreement with OpenAI.
By default, the agent processes data in the United States using mParticle’s OpenAI account. Your prompts and data are not used to train or improve OpenAI’s models.
mParticle may review agent conversations to improve the product, for example to understand where the agent made a poor recommendation or misread a request. mParticle doesn’t use your proprietary data to improve the agent for other customers.
If your organization is based outside the United States or is subject to regional data-processing requirements, confirm that US-based processing meets your requirements before using the agent. mParticle plans to support region-specific processing, beginning with the European Union.
The Audience Agent doesn’t change how data subject requests are handled. It doesn’t create a separate store of consumer data, so requests such as access or erasure continue through mParticle’s existing data subject request process. For more information, see Data Subject Requests.
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