### Sensei Machine Learning API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Sensei Machine Learning API is used to manage engines, models, and other resources related to Data Science Workspace. This API supports the development and deployment of machine learning models.

```APIDOC
API: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Query Service API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Query Service API enables you to use standard SQL to query data directly within Adobe Experience Platform. This provides powerful analytical capabilities over your unified data.

```APIDOC
API: Query Service API
Description: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Data Prep API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). It is a key component for data standardization and quality.

```APIDOC
API Name: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Observability Insights API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

Use the Observability Insights API to view metrics on various activities within Adobe Experience Platform. This provides valuable insights into system performance and usage.

```APIDOC
API: Observability Insights API
Description: View metrics on various Platform activities.
```

--------------------------------

### Destination Authoring API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Destination Authoring API allows you to author and configure a destination within the Experience Platform catalog. This enables connecting to various data activation endpoints.

```APIDOC
API: Destination Authoring API
Description: Author a destination in the Experience Platform catalog.
```

--------------------------------

### Sandbox API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Sandbox API allows organizations to manage sandboxes within Adobe Experience Platform. Sandboxes provide isolated environments for development and testing.

```APIDOC
API Name: Sandbox API
Description: Manage sandboxes for your organization.
```

--------------------------------

### Data Prep API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

Use the Data Prep API to map, transform, and validate data to and from Experience Data Model (XDM). This API is crucial for preparing data for use within the platform.

```APIDOC
API: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Destination Authoring API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Destination Authoring API allows developers to author a destination in the Experience Platform catalog. This facilitates connecting to various data activation endpoints.

```APIDOC
API Name: Destination Authoring API
Description: Author a destination in the Experience Platform catalog.
```

--------------------------------

### Catalog API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Catalog API is used to manage metadata for datasets and batches within Adobe Experience Platform. It provides capabilities to organize and describe data assets.

```APIDOC
API Name: Catalog API
Description: Manage metadata for datasets and batches.
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/identity-service

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). This API ensures data consistency and quality before it is ingested or used within the Platform.

```APIDOC
API Reference:
  Name: Data Prep API
  Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Sensei Machine Learning API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Sensei Machine Learning API manages engines, models, and other resources related to Data Science Workspace. It supports the development and deployment of machine learning models.

```APIDOC
API Name: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Query Service API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Query Service API allows users to query data in Adobe Experience Platform using standard SQL. This provides powerful analytical capabilities over ingested data.

```APIDOC
API Name: Query Service API
Description: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Query Service API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Query Service API allows you to use standard SQL to query data in Experience Platform. This API provides powerful analytical capabilities directly on your unified customer data.

```APIDOC
{
  "apiName": "Query Service API",
  "purpose": "Use standard SQL to query data in Experience Platform.",
  "methods": [
    {
      "name": "executeQuery",
      "description": "Executes a SQL query against the data lake.",
      "parameters": [
        {"name": "sqlQuery", "type": "string", "description": "The SQL query string to execute."}
      ],
      "returns": {
        "type": "object",
        "description": "Query results or job ID"
      }
    }
  ]
}
```

--------------------------------

### Catalog API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Catalog API is used to manage metadata for datasets and batches within Adobe Experience Platform. It provides functionalities for organizing and describing your data assets.

```APIDOC
API: Catalog API
Description: Manage metadata for datasets and batches.
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/data-access

The Data Prep API is designed to map, transform, and validate data to and from Experience Data Model (XDM). It provides tools for data engineers to prepare raw data for ingestion, ensuring it conforms to XDM schemas and is ready for use across the Platform.

```APIDOC
API Name: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Data Prep API for Adobe Experience Platform, detailing its purpose to map, transform, and validate data to and from Experience Data Model (XDM). This API is crucial for data standardization and quality.

```APIDOC
API Name: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Data Prep API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). It's a critical component for ensuring data quality and compatibility within the platform.

```APIDOC
{
  "apiName": "Data Prep API",
  "purpose": "Map, transform, and validate data to and from Experience Data Model (XDM).",
  "methods": [
    {
      "name": "createMappingSet",
      "description": "Defines a new set of data mapping rules.",
      "parameters": [
        {"name": "sourceSchema", "type": "object", "description": "The source data schema."},
        {"name": "targetSchema", "type": "object", "description": "The target XDM schema."},
        {"name": "mappingRules", "type": "array", "description": "Array of transformation rules."}
      ],
      "returns": {
        "type": "object",
        "description": "Mapping set ID and status"
      }
    }
  ]
}
```

--------------------------------

### Sandbox API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Sandbox API is used to manage sandboxes for your organization within Adobe Experience Platform. Sandboxes provide isolated environments for development and testing.

```APIDOC
API: Sandbox API
Description: Manage sandboxes for your organization.
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM) within Adobe Experience Platform.

```APIDOC
API Reference: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Batch Ingestion API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

Use the Batch Ingestion API to bring data into Adobe Experience Platform through batch ingestion processes. This API supports large-scale data imports.

```APIDOC
API: Batch Ingestion API
Description: Bring data into Platform through batch ingestion.
```

--------------------------------

### Schema Registry API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Schema Registry API allows you to manage Experience Data Model (XDM) schemas. This API is fundamental for defining the structure and semantics of your data within the platform.

```APIDOC
API: Schema Registry API
Description: Manage Experience Data Model (XDM) schemas.
```

--------------------------------

### Sensei Machine Learning API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Manage engines, models, and other resources related to Data Science Workspace.

```APIDOC
Sensei Machine Learning API: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Sensei Machine Learning API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Sensei Machine Learning API allows you to manage engines, models, and other resources related to Data Science Workspace. This API enables the integration and deployment of AI/ML capabilities within Experience Platform.

```APIDOC
{
  "apiName": "Sensei Machine Learning API",
  "purpose": "Manage engines, models, and other resources related to Data Science Workspace.",
  "methods": [
    {
      "name": "createModel",
      "description": "Creates a new machine learning model.",
      "parameters": [
        {"name": "modelDefinition", "type": "object", "description": "The definition of the ML model."}
      ],
      "returns": {
        "type": "object",
        "description": "New model ID and status"
      }
    }
  ]
}
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). This API is crucial for preparing data for use within the Experience Platform ecosystem.

```APIDOC
{
  "api_name": "Data Prep API",
  "purpose": "Map, transform, and validate data to and from Experience Data Model (XDM)."
}
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Sensei Machine Learning API manages engines, models, and other resources related to Data Science Workspace. This API supports the development and deployment of machine learning models.

```APIDOC
{
  "api_name": "Sensei Machine Learning API",
  "purpose": "Manage engines, models, and other resources related to Data Science Workspace."
}
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API enables you to map, transform, and validate data to and from Experience Data Model (XDM). It is crucial for data standardization and quality before ingestion.

```APIDOC
API Name: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
Endpoint: /experience-platform-apis/references/data-prep/
```

--------------------------------

### Data Prep API: Map, Transform, and Validate Data

Source: https://developer.adobe.com/experience-platform-apis/references/policy-service

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). It ensures data quality and consistency before ingestion or processing within the platform.

```APIDOC
{
  "apiName": "Data Prep API",
  "apiDescription": "Map, transform, and validate data to and from Experience Data Model (XDM)."
}
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Map, transform, and validate data to and from Experience Data Model (XDM) using the Data Prep API.

```APIDOC
API: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Sensei Machine Learning API for Adobe Experience Platform, detailing its purpose to manage engines, models, and other resources related to Data Science Workspace. This API supports AI/ML model deployment and management.

```APIDOC
API Name: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Sensei Machine Learning API is used to manage engines, models, and other resources related to Data Science Workspace.

```APIDOC
API Reference: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Sensei Machine Learning API: Manage Data Science Workspace Resources

Source: https://developer.adobe.com/experience-platform-apis/references/policy-service

The Sensei Machine Learning API is used to manage engines, models, and other resources related to Data Science Workspace. It facilitates the development and deployment of machine learning models.

```APIDOC
{
  "apiName": "Sensei Machine Learning API",
  "apiDescription": "Manage engines, models, and other resources related to Data Science Workspace."
}
```

--------------------------------

### APIDOC: Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/streaming-ingestion

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). It ensures data quality and consistency before ingestion.

```APIDOC
API Name: Data Prep API
Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Sandbox API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Sandbox API allows you to manage sandboxes for your organization. Sandboxes provide isolated environments for development, testing, and experimentation without affecting production data.

```APIDOC
{
  "apiName": "Sandbox API",
  "purpose": "Manage sandboxes for your organization.",
  "methods": [
    {
      "name": "createSandbox",
      "description": "Creates a new sandbox environment.",
      "parameters": [
        {"name": "sandboxName", "type": "string", "description": "The name of the new sandbox."},
        {"name": "sandboxType", "type": "string", "description": "Type of sandbox (e.g., 'development', 'production')."}
      ],
      "returns": {
        "type": "object",
        "description": "New sandbox ID and details"
      }
    }
  ]
}
```

--------------------------------

### Data Prep API for Adobe Experience Platform

Source: https://developer.adobe.com/experience-platform-apis/references/dataset-service

Use the Data Prep API to map, transform, and validate data to and from Experience Data Model (XDM). This API is essential for preparing data for consumption and ensuring data quality within the platform.

```APIDOC
API Reference for Data Prep API: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

Use the Data Prep API to map, transform, and validate data to and from Experience Data Model (XDM). This API is crucial for preparing data for consumption within the Platform, ensuring data quality and consistency.

```APIDOC
API Reference: Data Prep API - Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Catalog API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Manage metadata for datasets and batches.

```APIDOC
Catalog API: Manage metadata for datasets and batches.
```

--------------------------------

### Unified Tags API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Use folders and tags to organize business objects in Adobe Experience Platform, improving discoverability and management, with the Unified Tags API.

```APIDOC
API: Unified Tags API
Description: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/reactor

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). It's essential for ensuring data quality and consistency before ingestion into or extraction from the Platform.

```APIDOC
API Name: Data Prep API
Purpose: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/flow-service

Use the Data Prep API to map, transform, and validate data to and from Experience Data Model (XDM). This API is crucial for preparing data for ingestion and ensuring it conforms to the required schema for use within Experience Platform.

```APIDOC
Data Prep API:
  Description: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Unified Tags API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Unified Tags API uses folders and tags to organize business objects in Adobe Experience Platform. This helps in categorizing and managing various Platform resources.

```APIDOC
API Name: Unified Tags API
Description: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Batch Ingestion API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/identity-service

The Batch Ingestion API facilitates bringing large volumes of data into Adobe Experience Platform through batch processes. This API supports efficient and scalable data onboarding from various external sources.

```APIDOC
API Reference:
  Name: Batch Ingestion API
  Description: Bring data into Platform through batch ingestion.
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Manage engines, models, and other resources related to Data Science Workspace within Adobe Experience Platform using the Sensei Machine Learning API.

```APIDOC
API: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### APIDOC: Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/data-hygiene

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM). It ensures data quality and consistency before ingestion or use.

```APIDOC
API: Data Prep API
Purpose: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Batch Ingestion API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Batch Ingestion API enables the process of bringing data into Adobe Experience Platform through batch ingestion. This API is used for large-scale data imports.

```APIDOC
API Name: Batch Ingestion API
Description: Bring data into Platform through batch ingestion.
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

The Sensei Machine Learning API allows you to manage engines, models, and other resources related to Data Science Workspace. This API supports the development and deployment of machine learning models within the Platform.

```APIDOC
API Reference: Sensei Machine Learning API - Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Sandbox API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Manage sandboxes for your organization.

```APIDOC
Sandbox API: Manage sandboxes for your organization.
```

--------------------------------

### Unified Tags API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Unified Tags API allows you to use folders and tags to organize business objects in Adobe Experience Platform. This helps in categorizing and managing various assets.

```APIDOC
API: Unified Tags API
Description: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Batch Ingestion API: Bring Data into Platform

Source: https://developer.adobe.com/experience-platform-apis/references/audit-query

This API facilitates bringing data into Adobe Experience Platform through batch ingestion processes. It supports efficient and scalable data onboarding, allowing large volumes of data to be imported for further processing and analysis.

```APIDOC
{
  "apiName": "Batch Ingestion API",
  "purpose": "Bring data into Platform through batch ingestion"
}
```

--------------------------------

### Sandbox API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Sandbox API allows managing sandboxes for your organization within Adobe Experience Platform. Sandboxes provide isolated environments for development and testing.

```APIDOC
{
  "api_name": "Sandbox API",
  "purpose": "Manage sandboxes for your organization."
}
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Query Service API allows users to query data in Experience Platform using standard SQL.

```APIDOC
API Reference: Query Service API
Description: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Batch Ingestion API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Bring data into Platform through batch ingestion.

```APIDOC
Batch Ingestion API: Bring data into Platform through batch ingestion.
```

--------------------------------

### Reactor API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Reactor API allows you to manage extensions, rules, and other resources related to tags. This API is integral for deploying and managing client-side data collection and personalization.

```APIDOC
{
  "apiName": "Reactor API",
  "purpose": "Manage extensions, rules, and other resources related to tags.",
  "methods": [
    {
      "name": "createRule",
      "description": "Creates a new rule for a tag property.",
      "parameters": [
        {"name": "propertyId", "type": "string", "description": "The ID of the tag property."},
        {"name": "ruleDefinition", "type": "object", "description": "The definition of the rule."}
      ],
      "returns": {
        "type": "object",
        "description": "New rule ID and status"
      }
    }
  ]
}
```

--------------------------------

### Query Service API for Adobe Experience Platform

Source: https://developer.adobe.com/experience-platform-apis/references/dataset-service

The Query Service API allows users to query data in Experience Platform using standard SQL. This provides a powerful and familiar interface for data analysis and exploration.

```APIDOC
API Reference for Query Service API: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Observability Insights API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Observability Insights API provides the ability to view metrics on various activities within Adobe Experience Platform. It helps in monitoring system performance and usage.

```APIDOC
API Name: Observability Insights API
Description: View metrics on various Platform activities.
```

--------------------------------

### Catalog API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Catalog API allows you to manage metadata for datasets and batches within Adobe Experience Platform. It provides functionalities to discover, describe, and organize your data assets.

```APIDOC
{
  "apiName": "Catalog API",
  "purpose": "Manage metadata for datasets and batches.",
  "methods": [
    {
      "name": "getDatasets",
      "description": "Retrieves metadata for available datasets.",
      "parameters": [],
      "returns": {
        "type": "array",
        "description": "List of dataset metadata objects"
      }
    }
  ]
}
```

--------------------------------

### Unified Tags API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Use folders and tags to organize business objects in Adobe Experience Platform.

```APIDOC
Unified Tags API: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/profile

The Data Prep API is used to map, transform, and validate data to and from Experience Data Model (XDM) within Adobe Experience Platform. It ensures data consistency and quality before it is ingested or used across the platform.

```APIDOC
Data Prep API: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Unified Tags API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Unified Tags API allows using folders and tags to organize business objects in Adobe Experience Platform.

```APIDOC
API Reference: Unified Tags API
Description: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Batch Ingestion API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Bring data into Adobe Experience Platform through batch ingestion processes using the Batch Ingestion API.

```APIDOC
API: Batch Ingestion API
Description: Bring data into Platform through batch ingestion.
```

--------------------------------

### Destination Authoring API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

Use the Destination Authoring API to author a destination in the Experience Platform catalog. This API enables developers to create custom destinations for data activation.

```APIDOC
{
  "apiName": "Destination Authoring API",
  "purpose": "Author a destination in the Experience Platform catalog.",
  "methods": [
    {
      "name": "createDestination",
      "description": "Creates a new destination configuration.",
      "parameters": [
        {"name": "destinationConfig", "type": "object", "description": "Configuration details for the new destination."}
      ],
      "returns": {
        "type": "object",
        "description": "New destination ID and status"
      }
    }
  ]
}
```

--------------------------------

### Sensei Machine Learning API for Adobe Experience Platform

Source: https://developer.adobe.com/experience-platform-apis/references/dataset-service

The Sensei Machine Learning API manages engines, models, and other resources related to Data Science Workspace. This API supports the development and deployment of AI/ML models within the platform.

```APIDOC
API Reference for Sensei Machine Learning API: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### APIDOC: Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/streaming-ingestion

The Sensei Machine Learning API manages engines, models, and other resources related to Data Science Workspace. It supports the development and deployment of AI/ML models.

```APIDOC
API Name: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/privacy-service

Use standard SQL to query data in Experience Platform. This API allows developers to run SQL queries directly against data stored within Adobe Experience Platform.

```APIDOC
{
  "api_name": "Query Service API",
  "description": "Use standard SQL to query data in Experience Platform."
}
```

--------------------------------

### APIDOC: Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/data-hygiene

The Query Service API allows users to query data in Experience Platform using standard SQL. This provides powerful analytical capabilities directly on your unified data.

```APIDOC
API: Query Service API
Purpose: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Query Service API allows users to query data in Experience Platform using standard SQL. This API provides powerful analytical capabilities directly on your platform data.

```APIDOC
{
  "api_name": "Query Service API",
  "purpose": "Use standard SQL to query data in Experience Platform."
}
```

--------------------------------

### Reactor API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Manage extensions, rules, and other resources related to tags.

```APIDOC
Reactor API: Manage extensions, rules, and other resources related to tags.
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API is used to manage engines, models, and other resources related to Data Science Workspace within Adobe Experience Platform. It supports the deployment and management of AI/ML models.

```APIDOC
API Name: Sensei Machine Learning API
Description: Manage engines, models, and other resources related to Data Science Workspace.
Endpoint: /experience-platform-apis/references/sensei-machine-learning/
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/flow-service

The Sensei Machine Learning API manages engines, models, and other resources related to Data Science Workspace. This API supports the development and deployment of machine learning models within Experience Platform.

```APIDOC
Sensei Machine Learning API:
  Description: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Data Prep API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/privacy-service

Map, transform, and validate data to and from Experience Data Model (XDM). This API is crucial for preparing data to conform to the standardized XDM schema.

```APIDOC
{
  "api_name": "Data Prep API",
  "description": "Map, transform, and validate data to and from Experience Data Model (XDM)."
}
```

--------------------------------

### Data Prep API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Map, transform, and validate data to and from Experience Data Model (XDM).

```APIDOC
Data Prep API: Map, transform, and validate data to and from Experience Data Model (XDM).
```

--------------------------------

### Reactor API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Reactor API manages extensions, rules, and other resources related to tags in Adobe Experience Platform. It is essential for deploying and managing client-side data collection.

```APIDOC
API Name: Reactor API
Description: Manage extensions, rules, and other resources related to tags.
```

--------------------------------

### Schema Registry API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Manage Experience Data Model (XDM) schemas.

```APIDOC
Schema Registry API: Manage Experience Data Model (XDM) schemas.
```

--------------------------------

### Real-time Customer Profile API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Real-time Customer Profile API allows you to manage merge policies and other Profile-related resources. This API is central to building and maintaining a unified view of your customers.

```APIDOC
API: Real-time Customer Profile API
Description: Manage merge policies and other Profile-related resources.
```

--------------------------------

### Batch Ingestion API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Batch Ingestion API facilitates bringing data into Adobe Experience Platform through batch ingestion processes.

```APIDOC
API Reference: Batch Ingestion API
Description: Bring data into Platform through batch ingestion.
```

--------------------------------

### Unified Tags API for Adobe Experience Platform

Source: https://developer.adobe.com/experience-platform-apis/references/dataset-service

The Unified Tags API allows users to organize business objects in Adobe Experience Platform using folders and tags. This enhances discoverability and management of various assets within the platform.

```APIDOC
API Reference for Unified Tags API: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Destination Authoring API (Destination SDK) Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API allows you to author a destination in the Experience Platform catalog using the Destination SDK. It enables custom integration with various data activation platforms.

```APIDOC
API Name: Destination Authoring API (Destination SDK)
Description: Author a destination in the Experience Platform catalog.
Endpoint: /experience-platform-apis/references/destination-authoring/
```

--------------------------------

### Query Service API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Use standard SQL to query data in Experience Platform.

```APIDOC
Query Service API: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Real-time Customer Profile API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Real-time Customer Profile API manages merge policies and other Profile-related resources. It is central to building and maintaining unified customer profiles.

```APIDOC
API Name: Real-time Customer Profile API
Description: Manage merge policies and other Profile-related resources.
```

--------------------------------

### Schema Registry API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Schema Registry API allows you to manage Experience Data Model (XDM) schemas. This API is fundamental for defining the structure and semantics of your customer experience data.

```APIDOC
{
  "apiName": "Schema Registry API",
  "purpose": "Manage Experience Data Model (XDM) schemas.",
  "methods": [
    {
      "name": "createSchema",
      "description": "Creates a new XDM schema.",
      "parameters": [
        {"name": "schemaDefinition", "type": "object", "description": "The JSON schema definition."}
      ],
      "returns": {
        "type": "object",
        "description": "New schema ID and status"
      }
    }
  ]
}
```

--------------------------------

### Catalog API for Adobe Experience Platform

Source: https://developer.adobe.com/experience-platform-apis/references/dataset-service

The Catalog API is used to manage metadata for datasets and batches within Adobe Experience Platform. It provides functionalities to organize, describe, and discover data assets efficiently.

```APIDOC
API Reference for Catalog API: Manage metadata for datasets and batches.
```

--------------------------------

### Schema Registry API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Schema Registry API manages Experience Data Model (XDM) schemas. It is crucial for defining and enforcing the structure of data ingested into the Platform.

```APIDOC
API Name: Schema Registry API
Description: Manage Experience Data Model (XDM) schemas.
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Query Service API for Adobe Experience Platform, detailing its purpose to use standard SQL to query data in Experience Platform. This API enables direct data analysis and retrieval.

```APIDOC
API Name: Query Service API
Description: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Use standard SQL to query data in Experience Platform, enabling powerful data analysis and reporting, with the Query Service API.

```APIDOC
API: Query Service API
Description: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Sandbox API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Sandbox API enables organizations to manage sandboxes within Adobe Experience Platform.

```APIDOC
API Reference: Sandbox API
Description: Manage sandboxes for your organization.
```

--------------------------------

### Access Control API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

This API allows you to view available and active user permissions within Adobe Experience Platform. It is essential for managing user access and ensuring proper authorization.

```APIDOC
API: Access Control API
Description: View available and active user permissions.
```

--------------------------------

### Catalog API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Catalog API allows developers to manage metadata for datasets and batches within Adobe Experience Platform.

```APIDOC
API Reference: Catalog API
Description: Manage metadata for datasets and batches.
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/reactor

The Query Service API allows users to query data in Experience Platform using standard SQL. This provides a powerful and flexible way to analyze and extract insights from your unified customer data.

```APIDOC
API Name: Query Service API
Purpose: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Unified Tags API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API helps better organize your business objects by using folders, tags, and tag categories within Adobe Experience Platform. It improves content discoverability and management.

```APIDOC
API Name: Unified Tags API
Description: Better organize your business objects by using folders, tags, and tag categories.
Endpoint: /experience-platform-apis/references/unified-tags/
```

--------------------------------

### Identity Service API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Identity Service API manages identities, namespaces, and clusters linked to the Identity Graph. This is fundamental for unifying customer profiles across different data sources.

```APIDOC
API Name: Identity Service API
Description: Manage identities, namespaces, and clusters linked to the Identity Graph.
```

--------------------------------

### Batch Ingestion API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Batch Ingestion API for Adobe Experience Platform, detailing its purpose to bring data into Platform through batch ingestion. This API facilitates the bulk upload of data for processing.

```APIDOC
API Name: Batch Ingestion API
Description: Bring data into Platform through batch ingestion.
```

--------------------------------

### Sandbox API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Sandbox API for Adobe Experience Platform, detailing its purpose to manage sandboxes for your organization. This API allows for isolated development and testing environments.

```APIDOC
API Name: Sandbox API
Description: Manage sandboxes for your organization.
```

--------------------------------

### Reactor API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Manage extensions, rules, and other resources related to tags within Adobe Experience Platform using the Reactor API.

```APIDOC
API: Reactor API
Description: Manage extensions, rules, and other resources related to tags.
```

--------------------------------

### Observability Insights API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Observability Insights API allows viewing metrics on various activities within Adobe Experience Platform. This API provides valuable insights into system performance and usage.

```APIDOC
{
  "api_name": "Observability Insights API",
  "purpose": "View metrics on various Platform activities."
}
```

--------------------------------

### Observability Insights API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Observability Insights API allows you to view metrics on various Platform activities. This API provides valuable insights into the performance and health of your Adobe Experience Platform operations.

```APIDOC
{
  "apiName": "Observability Insights API",
  "purpose": "View metrics on various Platform activities.",
  "methods": [
    {
      "name": "getMetrics",
      "description": "Retrieves platform activity metrics based on filters.",
      "parameters": [
        {"name": "metricType", "type": "string", "description": "Type of metric to retrieve (e.g., 'ingestion', 'query')."}
      ],
      "returns": {
        "type": "object",
        "description": "Metric data and timestamps"
      }
    }
  ]
}
```

--------------------------------

### Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/privacy-service

Manage engines, models, and other resources related to Data Science Workspace. This API provides programmatic access to machine learning capabilities within Adobe Experience Platform.

```APIDOC
{
  "api_name": "Sensei Machine Learning API",
  "description": "Manage engines, models, and other resources related to Data Science Workspace."
}
```

--------------------------------

### APIDOC: Observability Insights API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/streaming-ingestion

The Observability Insights API allows users to view metrics on various Platform activities. This provides valuable insights into system performance and usage.

```APIDOC
API Name: Observability Insights API
Description: View metrics on various Platform activities.
```

--------------------------------

### Observability Insights API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

View metrics on various Platform activities, gaining insights into system performance and usage, using the Observability Insights API.

```APIDOC
API: Observability Insights API
Description: View metrics on various Platform activities.
```

--------------------------------

### APIDOC: Sensei Machine Learning API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/data-hygiene

The Sensei Machine Learning API manages engines, models, and other resources related to Data Science Workspace. It provides programmatic access to AI/ML capabilities within Experience Platform.

```APIDOC
API: Sensei Machine Learning API
Purpose: Manage engines, models, and other resources related to Data Science Workspace.
```

--------------------------------

### Reactor API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Reactor API is used to manage extensions, rules, and other resources related to tags within Adobe Experience Platform. It's essential for deploying and managing client-side data collection.

```APIDOC
API: Reactor API
Description: Manage extensions, rules, and other resources related to tags.
```

--------------------------------

### Query Service API: Query Data with Standard SQL

Source: https://developer.adobe.com/experience-platform-apis/references/policy-service

The Query Service API enables users to query data in Adobe Experience Platform using standard SQL. This provides a powerful way to analyze and extract insights from ingested data.

```APIDOC
{
  "apiName": "Query Service API",
  "apiDescription": "Use standard SQL to query data in Experience Platform."
}
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/flow-service

The Query Service API enables users to query data in Experience Platform using standard SQL. This provides powerful analytical capabilities directly on the unified data stored within the platform.

```APIDOC
Query Service API:
  Description: Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Dataset Service API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/sensei-machine-learning

The Dataset Service API enables the management of usage labels for existing datasets within the Data Lake. This helps in categorizing and governing data usage.

```APIDOC
API Name: Dataset Service API
Description: Manage usage labels for existing datasets within the Data Lake.
```

--------------------------------

### Batch Ingestion API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Batch Ingestion API enables users to bring data into Adobe Experience Platform through batch ingestion processes. This API is used for importing large volumes of data efficiently.

```APIDOC
{
  "api_name": "Batch Ingestion API",
  "purpose": "Bring data into Platform through batch ingestion."
}
```

--------------------------------

### Catalog API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Catalog API for Adobe Experience Platform, detailing its purpose to manage metadata for datasets and batches. This API helps organize and describe data assets within the Platform.

```APIDOC
API Name: Catalog API
Description: Manage metadata for datasets and batches.
```

--------------------------------

### Observability Insights API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

View metrics on various Platform activities.

```APIDOC
Observability Insights API: View metrics on various Platform activities.
```

--------------------------------

### Sandbox API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API enables you to manage sandboxes for your organization within Adobe Experience Platform. Sandboxes provide isolated environments for development and testing.

```APIDOC
API Name: Sandbox API
Description: Manage sandboxes for your organization.
Endpoint: /experience-platform-apis/references/sandbox/
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API enables you to use standard SQL to query data directly within Adobe Experience Platform. It provides powerful analytical capabilities for data exploration.

```APIDOC
API Name: Query Service API
Description: Use standard SQL to query data in Experience Platform.
Endpoint: /experience-platform-apis/references/query-service/
```

--------------------------------

### Flow Service API - Destinations Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

The Flow Service API also allows you to connect to destinations and activate data from Adobe Experience Platform. This enables data export and activation to various endpoints.

```APIDOC
API: Flow Service API - Destinations
Description: Use the Flow Service API to connect to destinations and activate data.
```

--------------------------------

### Destination Authoring API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

This API allows you to author a destination in the Experience Platform catalog. It provides the tools to define and configure new data destinations for activation.

```APIDOC
API Reference: Destination Authoring API - Author a destination in the Experience Platform catalog.
```

--------------------------------

### Unified Tags API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

The Unified Tags API allows you to use folders and tags to organize business objects in Adobe Experience Platform. This API helps in categorizing and managing various assets for better discoverability and governance.

```APIDOC
{
  "apiName": "Unified Tags API",
  "purpose": "Use folders and tags to organize business objects in Adobe Experience Platform.",
  "methods": [
    {
      "name": "applyTag",
      "description": "Applies a tag to a specified business object.",
      "parameters": [
        {"name": "objectId", "type": "string", "description": "The ID of the business object."},
        {"name": "tagId", "type": "string", "description": "The ID of the tag to apply."}
      ],
      "returns": {
        "type": "object",
        "description": "Confirmation of tag application"
      }
    }
  ]
}
```

--------------------------------

### Batch Ingestion API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

Use the Batch Ingestion API to bring data into Adobe Experience Platform through batch ingestion processes. This API supports large-scale data imports, facilitating efficient data onboarding.

```APIDOC
API Reference: Batch Ingestion API - Bring data into Platform through batch ingestion.
```

--------------------------------

### Reactor API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/destination-authoring

Documents the Reactor API for Adobe Experience Platform, detailing its purpose to manage extensions, rules, and other resources related to tags. This API supports tag management and deployment.

```APIDOC
API Name: Reactor API
Description: Manage extensions, rules, and other resources related to tags.
```

--------------------------------

### Destination Authoring API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/query-service

The Destination Authoring API allows developers to author a destination in the Experience Platform catalog.

```APIDOC
API Reference: Destination Authoring API
Description: Author a destination in the Experience Platform catalog.
```

--------------------------------

### Unified Tags API: Organize Business Objects with Tags

Source: https://developer.adobe.com/experience-platform-apis/references/policy-service

The Unified Tags API allows the use of folders and tags to organize business objects in Adobe Experience Platform. This helps in categorizing and managing various assets efficiently.

```APIDOC
{
  "apiName": "Unified Tags API",
  "apiDescription": "Use folders and tags to organize business objects in Adobe Experience Platform."
}
```

--------------------------------

### Query Service API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

The Query Service API enables you to use standard SQL to query data in Experience Platform. This provides a powerful way to analyze and extract insights from your unified customer data.

```APIDOC
API Reference: Query Service API - Use standard SQL to query data in Experience Platform.
```

--------------------------------

### Reactor API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/privacy-service

Manage extensions, rules, and other resources related to tags. This API is used for programmatic control over Adobe Experience Platform tags (formerly Adobe Launch).

```APIDOC
{
  "api_name": "Reactor API",
  "description": "Manage extensions, rules, and other resources related to tags."
}
```

--------------------------------

### Unified Tags API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/data-access

The Unified Tags API allows users to organize business objects in Adobe Experience Platform using folders and tags. This API enhances data discoverability and management by providing a flexible system for categorizing and grouping various Platform resources.

```APIDOC
API Name: Unified Tags API
Description: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Sandbox API: Manage Organization Sandboxes

Source: https://developer.adobe.com/experience-platform-apis/references/policy-service

The Sandbox API provides capabilities to manage sandboxes for your organization within Adobe Experience Platform. Sandboxes offer isolated environments for development, testing, and experimentation.

```APIDOC
{
  "apiName": "Sandbox API",
  "apiDescription": "Manage sandboxes for your organization."
}
```

--------------------------------

### Catalog API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/schema-registry

Manage metadata for datasets and batches within Adobe Experience Platform using the Catalog API.

```APIDOC
API: Catalog API
Description: Manage metadata for datasets and batches.
```

--------------------------------

### Catalog API: Manage Dataset Metadata

Source: https://developer.adobe.com/experience-platform-apis/references/policy-service

The Catalog API enables the management of metadata for datasets and batches within Adobe Experience Platform. It provides capabilities to organize, describe, and discover data assets across the platform.

```APIDOC
{
  "apiName": "Catalog API",
  "apiDescription": "Manage metadata for datasets and batches."
}
```

--------------------------------

### Real-time Customer Profile API

Source: https://developer.adobe.com/experience-platform-apis/references/catalog

Manage merge policies and other Profile-related resources.

```APIDOC
Real-time Customer Profile API: Manage merge policies and other Profile-related resources.
```

--------------------------------

### Unified Tags API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/profile

The Unified Tags API allows users to organize business objects in Adobe Experience Platform using folders and tags. This API enhances discoverability and management of various assets across the platform.

```APIDOC
Unified Tags API: Use folders and tags to organize business objects in Adobe Experience Platform.
```

--------------------------------

### Catalog API Reference

Source: https://developer.adobe.com/experience-platform-apis/index

The Catalog API allows you to manage metadata for datasets and batches within Adobe Experience Platform. It provides functionalities to organize, discover, and understand your data assets.

```APIDOC
API Reference: Catalog API - Manage metadata for datasets and batches.
```

--------------------------------

### Catalog API Reference

Source: https://developer.adobe.com/experience-platform-apis/references/observability-insights

The Catalog API is used to manage metadata for datasets and batches within Adobe Experience Platform. It provides capabilities to organize and retrieve information about your data assets.

```APIDOC
{
  "api_name": "Catalog API",
  "purpose": "Manage metadata for datasets and batches."
}
```

--------------------------------

### Batch Ingestion API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/batch-ingestion

Use the Batch Ingestion API to bring data into Adobe Experience Platform through batch ingestion. This API supports large-scale data uploads for processing and integration.

```APIDOC
{
  "apiName": "Batch Ingestion API",
  "purpose": "Bring data into Platform through batch ingestion.",
  "methods": [
    {
      "name": "createBatch",
      "description": "Initiates a new data batch for ingestion.",
      "parameters": [
        {"name": "datasetId", "type": "string", "description": "The ID of the target dataset."},
        {"name": "data", "type": "object", "description": "The data payload for the batch."}
      ],
      "returns": {
        "type": "object",
        "description": "Batch creation confirmation and ID"
      }
    }
  ]
}
```

--------------------------------

### Data Distiller Authorization API Documentation

Source: https://developer.adobe.com/experience-platform-apis/references/data-prep

This API manages and enforces IP-based access restrictions for secure data access in Query Service. It ensures compliance with data security standards by controlling network access.

```APIDOC
API: Data Distiller Authorization API
Description: Manage and enforce IP-based access restrictions for secure data access in Query Service, ensuring compliance with data security standards.
```