DataRobot Integration — Automate DataRobot with AI on Beauto

DataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets

Category: artificial intelligence, ai models · 836 actions available

What you can automate with DataRobot

Beauto connects DataRobot with 900+ other apps so you can build AI-powered workflows in minutes. Trigger automations from DataRobot events, enrich DataRobot data with AI, or sync DataRobot with the rest of your stack — without writing code.

  • Sync DataRobot data with Gmail, Slack, Notion, HubSpot, Google Sheets, and more
  • Trigger AI agents on new DataRobot events and route the output anywhere
  • Schedule recurring DataRobot tasks — daily reports, cleanups, or bulk updates
  • Use natural language to describe the workflow; Beauto builds it for you

DataRobot actions Beauto supports

  • Add Users to Group — Tool to add one or more users to a DataRobot user group by groupId. Use when you have a valid groupId and want to add existing usernames. Limit 100 users per request.
  • Add User to Organization — Tool to add a user to an existing organization. Use when you have an organizationId and wish to add or create a user within it.
  • Analyze Dataset Definition — Tool to analyze a dataset definition by ID. Use when you need to trigger an analysis job that retrieves dataset metadata, schema, and statistics.
  • Archive Model Package — Tool to archive a DataRobot model package. Use when you need to archive a model package that is no longer actively used.
  • Build Java Scoring Code Package — Initiates an asynchronous build of a Java JAR package containing DataRobot Scoring Code for a deployment. The JAR can be executed locally for predictions or used as a library in Java applications. Use after confirming th
  • Cancel Notebook Job — Tool to cancel a running or pending notebook job execution. Use when you need to stop a notebook job that is currently executing or queued. The cancellation is immediate and cannot be undone.
  • Cancel Project Job — Tool to cancel a pending job for a project. Use when you need to stop a queued or running job after confirming its ID.
  • Check Project Status — Tool to check the status of a DataRobot project. Use after creating or loading a project to monitor its stage and Autopilot completion.
  • Clone Application Template — Tool to clone an application template into a codespace. Use when you need to create a new codespace from an existing template.
  • Clone Files Collection — Tool to create a duplicate files collection in DataRobot. Use when you need to clone an existing files catalog item, optionally excluding specific files. The cloning operation is asynchronous - poll the returned location
  • Copy File or Folder — Tool to copy a file or folder within the same DataRobot catalog item. Use when you need to duplicate files or folders in the data registry with configurable overwrite strategies.
  • Create Access Role — Create a custom Access Role for an organization. Use to define tailored permission sets controlling user access to DataRobot entities (projects, deployments, datasets, etc.). Requires an organization ID which can be obta
  • Create and Start Notebook Codespace — Tool to create and start a new notebook codespace in DataRobot. Use when you need to set up an interactive Jupyter notebook environment within a use case. Note: DataRobot limits concurrent notebooks to 4 running in paral
  • Create Automated Document — Tool to request generation of automated compliance documents in DataRobot. Use when you need to generate documentation for projects, models, or deployments. The document generation is asynchronous. Poll the returned loca
  • Create Batch Monitoring Job — Tool to create a DataRobot Batch Monitoring job for tracking model performance and data drift on batch predictions. Use when you need to monitor predictions at scale. The job is created asynchronously and returns immedia
  • Create Batch Monitoring Job Definition — Tool to create a Batch Monitoring job definition for tracking deployment performance and data drift. Use when you need to set up scheduled or manual monitoring jobs for a DataRobot deployment.
  • Create Batch Prediction Job Definition — Tool to create a Batch Prediction job definition. Use when you need to manually or scheduled scoring on large datasets.
  • Create Batch Predictions — Tool to create a new batch predictions job in DataRobot. Use when you need to score large datasets using a deployment, model, or model package. The job processes predictions asynchronously.
  • Create Batch Predictions From Existing — Tool to create a new Batch Prediction job based on an existing job's configuration. Use when you need to re-run predictions with the same settings.
  • Create Batch Predictions From Job Definition — Tool to launch a Batch Prediction job from a job definition. Use when you need to execute a previously created batch prediction job definition for scoring.
  • Create Calendar from File Upload — Tool to create a DataRobot calendar by uploading a CSV or XLSX file containing date events. Use when you need to define custom calendars for time-series modeling with specific event dates. The operation is asynchronous -
  • Create Calendars from Country Code — Initialize generation of preloaded calendars from a country code. Creates calendars with national holidays for the specified country and date range. Calendar generation is asynchronous - poll the returned location URL to
  • Create Calendar from Dataset — Tool to create a calendar from a dataset in DataRobot. Use when preparing time-series projects that require custom calendar definitions. Calendar creation is asynchronous - use the returned statusId to monitor progress.
  • Create Change Request — Create a Change Request for a DataRobot deployment to enable governance workflows. Use when you need to request approval for deployment changes such as changing importance, replacing models, updating status, or deleting
  • Create Code Snippets — Tool to generate code snippets for DataRobot models, predictions, or workloads. Use when you need sample code to interact with DataRobot models, make predictions, or process workloads in various programming languages.
  • Download Code Snippet — Tool to download code snippets for DataRobot deployments, models, or workloads. Use when you need sample code to make predictions, interact with models, or work with workloads. Generates code in Python, cURL, PowerShell,
  • Create Comment — Tool to create a comment on a DataRobot entity (deployment, use case, model, catalog, etc.). Use when you need to add notes, feedback, or documentation to DataRobot objects.
  • Create Compliance Doc Template — Tool to create a new compliance documentation template in DataRobot. Use when you need to define a reusable structure for model compliance documentation. Templates can include DataRobot-generated content, user-provided t
  • Create Credentials — Store a new set of credentials in DataRobot for use with data sources and connections. Supports multiple credential types including basic auth, OAuth, cloud provider credentials (AWS, GCP, Azure), and database-specific a
  • Create Custom Application Source — Tool to create a custom application source in DataRobot. Use when you need to create a new source for custom applications.
  • Create Custom Application Source Version — Create a new custom application source version in DataRobot. Use when you need to create a new version of an existing custom application source with optional file uploads, environment configuration, or based on a previou
  • Create Custom Application Source From Template — Tool to create a custom application source from a custom template. Use when you need to instantiate a new application source based on an existing custom template.
  • Create Custom Job — Tool to create a new DataRobot custom job. Use when you need to define a custom execution task that runs arbitrary Python code in DataRobot's managed environment. Only the 'name' field is required; DataRobot applies sens
  • Create Custom Jobs Cleanup — Tool to permanently delete a custom job. Use when you need to permanently remove a soft-deleted custom job and all its components. The custom job must be soft-deleted first before permanent deletion.
  • Create Custom Job Hosted Custom Metric Template — Tool to create a hosted custom metric template for a DataRobot custom job. Use when defining how custom metrics should be collected and aggregated for observability. The template must specify whether metrics are model-sp
  • Create Custom Model — Tool to create a new DataRobot custom model for training or inference. Use when you need to register a custom model in DataRobot. For inference models, targetType and targetName are typically required (e.g., targetType='
  • Get Custom Model Deployment Logs — Tool to request logs from a deployed custom model. Use when troubleshooting failed prediction requests or debugging custom model behavior. Returns a status ID for polling - logs are generated asynchronously.
  • Clone Custom Model — Tool to clone an existing custom model in DataRobot. Use when you need to create a copy of a custom model for reuse or experimentation.
  • Create Custom Model Version — Tool to create a new version for an existing DataRobot custom model. Use when you need to update a custom model with new code files, environment changes, or configuration updates. Creates either a major or minor version
  • Create Data Disparity Insights — Tool to start data disparity insight calculations for a DataRobot model. Use when you need to analyze data disparity between two classes for a specific feature. The calculation is asynchronous; poll the returned location

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