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Prophecy DataGPT brings Prophecy into the AI app you already use. Connect DataGPT to Claude, ChatGPT, or Microsoft Copilot, describe the data work you need, and DataGPT builds and runs it in Prophecy. Pipeline canvases, data tables, and analysis dashboards appear directly in the chat. Every result is backed by a Prophecy pipeline you can inspect, refine visually or in SQL, and run on your data platform. When an analysis needs to become a recurring data flow, you can schedule it and share it across teams.

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Get started with DataGPT

Connect DataGPT

Add DataGPT to Claude, ChatGPT, or Microsoft Copilot

What you can do with DataGPT

Build pipelines, run analyses, and explore data from the chat

Files and DataBox

Upload, browse, and manage the data files DataGPT works with

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Work in Prophecy

Sign up for the Free Edition

Create a free account and start building your first data flow

Quickstart

Build your first AI-generated pipeline in minutes

Build with Agent

Describe data flows in natural language and generate pipelines with AI

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Review and refine

Review generated data flows

Review, validate, and refine AI-generated pipelines visually or in SQL

Concepts

Learn core concepts like pipelines, data flows, and parameters

Use parameters and reusable data flows

Build flexible data flows that adapt across teams, schedules, and runtime environments

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Extend existing data flows

Share and reuse data flows

Share projects and reusable data flows across teams

Schedule and run data flows

Run recurring data flows on schedules or trigger them automatically

Import data flows

Import existing Alteryx data flows and extend them with AI

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Why teams use Prophecy

Prophecy helps data teams move from ad-hoc analysis to reliable operational data flows faster with AI.
  • Work in the AI app you already use: Connect DataGPT to Claude, ChatGPT, or Microsoft Copilot and work with your Prophecy data from the chat.
  • Build with natural language: Describe the data flow you want, and Prophecy generates pipelines you can refine visually or in SQL.
  • Review and refine data flows: Validate generated logic and customize data flows visually or in SQL.
  • Run reliable operational data flows: Schedule data flows, monitor execution, and manage recurring data processes.
  • Share data flows across teams: Collaborate on recurring reporting and data preparation data flows across projects and teams.
  • Review and visualize data: Explore outputs and generate dashboards directly from your data flows.

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Built for analysts and data teams

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Analysts

  • Prepare and analyze data from Claude, ChatGPT, or Microsoft Copilot with DataGPT
  • Build SQL pipelines and recurring data flows
  • Generate and modify transformations using natural language
  • Turn ad-hoc analysis into reusable operational data flows
Start here:

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Engineers

  • Build Spark-native pipelines using visual or code-first data flows
  • Develop production data flows for ingestion, transformation, and orchestration
  • Deploy and monitor data flows running on your cloud data platform
Learn more: Data Engineering docs