More than data access

Connecting The Predactiv Data Platform to a generative AI tool does more than retrieve data. A user might pull the insights for two audience segments, ask which is sharper and why, turn the answer into an executive-ready summary or chart, then bring in public web research to benchmark the segments and surface new signals that expand the stronger one, all in the same conversation.

These capabilities pair The Predactiv Data Platform’s own audience creation, sizing, insights, and activation with the AI tool’s reasoning and reach across the open web, shortening the distance from audience discovery to activation and letting teams build their own audience intelligence layer on top of the platform’s data.

See it in action

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The same platform, two ways to work with it.

From an AI tool (MCP)

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From your own product (Platform API)

For engineering teams embedding Predactiv into their own product. Authenticate once with OAuth 2.0, then call the same audience and dataset capabilities directly from your code. For example:

# Get an access token (OAuth 2.0, client credentials)
POST /oauth/token
Authorization: Basic <base64(client_id:client_secret)>

grant_type=client_credentials

# Preview an audience, with a live size estimate (no save)
POST /audiences/preview
Authorization: Bearer <access_token>
Content-Type: application/json

{ "prompt": "US adults interested in trail running and hiking gear" }

# Create the audience and queue delivery
POST /audiences
Authorization: Bearer <access_token>
Content-Type: application/json

{ "prompt": "Outdoor enthusiasts in the US", "destinations": ["liveramp"] }

# Onboard a first-party dataset, then upload to a secure URL
POST /datasets
{ "name": "Q3 Analytics", "format": "csv" }

The same audience and dataset capabilities, on the same platform and governance as the Predactiv interface. Illustrative, your team builds against the full API documentation.