Add DataRobot to your AI agent

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.

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.

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.

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 - poll the returned location URL to check completion status.

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 deployments. Change requests require approval from authorized reviewers before changes can be applied.

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 authentication. Use when you need to securely store credentials for connecting to external data sources or services.

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.

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.

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='Regression' requires targetName).

Tool to create a data stage in DataRobot. Use when you need to create a new data stage with a specified filename for data staging operations.

Create a dataset definition in DataRobot to define how to access and use a dataset from the AI Catalog. Use when you need to establish a reusable definition for a dataset that can be referenced in projects and deployments.

Tool to create a chunk definition for a dataset definition in DataRobot. Use when you need to define how to partition a dataset into chunks for distributed processing or validation strategies.

Tool to create a custom feature list within a dataset. Use when you need to define a specific subset of features for analysis or modeling.

Tool to create a DataRobot dataset by uploading a file (CSV, Excel, etc.). Use when you need to upload data files to DataRobot's global catalog for modeling or prediction. Dataset creation is asynchronous - poll the statusId to monitor completion.

Tool to create a new version of an existing DataRobot dataset by uploading a file (CSV, Excel, etc.). Use when you need to update an existing dataset with new data. Dataset version creation is asynchronous - poll the statusId to monitor completion.

Tool to create a dataset from an external data source connector (database, S3, etc.). Use when you need to import data from a configured data source into DataRobot. The dataset creation is asynchronous - poll the returned location URL to check completion status.

Tool to create a dataset from a DataRobot wrangling recipe. Use when you need to materialize a recipe into a reusable dataset. Creation is asynchronous - poll the location URL to check completion status.

Tool to create a DataRobot dataset from a publicly accessible URL. Use when you need to import data from HTTP/HTTPS URLs into DataRobot's data catalog. Returns immediately with catalog and status IDs - dataset ingestion happens asynchronously.

Tool to create a new dataset version from the latest version of its data source. Use when you need to refresh a dataset with updated data from its original source. The dataset version creation is asynchronous - poll the returned location URL to check completion status.

Tool to create a new version for an existing DataRobot dataset from a publicly accessible URL. Use when you need to update an existing dataset with new data from HTTP/HTTPS URLs. Returns immediately with status ID - version creation happens asynchronously.

Tool to create a new dataset version from a specific previous version of its data source. Use when you need to refresh a dataset based on a particular historical version. The dataset version creation is asynchronous - poll the returned location URL to check completion status.

Create a DataRobot deployment from a model package to enable real-time or batch predictions. Prerequisites: 1. First obtain a modelPackageId using LIST_MODEL_PACKAGES or CREATE_MODEL_PACKAGE 2. Optionally get predictionEnvironmentId using LIST_PREDICTION_ENVIRONMENTS 3. For managed SaaS, get defaultPredictionServerId using LIST_PREDICTION_SERVERS The deployment is created asynchronously. Poll the returned location URL to check readiness status.

Tool to create a deployment custom metric from an existing custom job in DataRobot. Use when you need to track custom business or operational metrics for a deployment. The custom job must have an associated hosted custom metric template.

Create a deployment custom metric for monitoring deployment or model-specific metrics. Use for numeric metrics (average, gauge, sum) or categorical metrics to track custom KPIs beyond standard monitoring.

Tool to upload custom metric values from JSON for a DataRobot deployment. Use when you need to submit custom monitoring metrics (e.g., business KPIs, external performance measures) to track alongside model predictions. The operation is asynchronous - returns immediately with a location URL to poll for job status.

Tool to delete deployment monitoring data for a specific model within a time period. Use when you need to remove historical monitoring data for a model in a deployment. Specify time ranges using top-of-the-hour RFC3339 datetime strings.

Tool to create a deployment retraining policy in DataRobot. Use when you need to set up automated model retraining based on schedules, data drift, or accuracy decline triggers.

Tool to create an entity notification channel in DataRobot. Use when you need to set up notifications for deployments or custom jobs.

Tool to start a job that creates a standard user-defined function in an external data store. Use when you need to add rolling aggregation functions (median or most frequent) to a database for use in DataRobot feature engineering. Requires write permissions to the data store.

Tool to create a new external data source in DataRobot. Use when you need to create a connection to an external database or filesystem. Requires a valid dataStoreId from an existing data store connection.

Tool to create a new external data store in DataRobot. Use when establishing a connection to external databases or data systems. The created data store ID can then be used with CREATE_EXTERNAL_DATA_SOURCES to define specific tables or queries.

Tool to retrieve data store schemas. Use when you need to list available schemas and catalogs from an external data store.

Tool to create an empty files catalog item in DataRobot. Use when you need to create a placeholder catalog entry before uploading files to it. After creating the empty catalog item, use CREATE_FILES_FROM_FILE or CREATE_FILES_FROM_URL to populate it with actual files.

Tool to copy multiple files or folders in a batch operation within DataRobot's data registry. Use when you need to copy multiple files at once, either within the same catalog item or to a different catalog item.

Tool to generate a temporary download URL for a DataRobot catalog file. Use when you need to download data from a catalog item. The download URL is valid for a limited time (default 60 seconds, maximum 5 minutes).

Tool to add file(s) to an existing DataRobot files catalog item. Use when you need to upload additional files to an existing catalog entry. The file addition is asynchronous - poll the returned location URL to check status.

Tool to apply staged files to a catalog item. Use when you need to finalize and commit files from a stage to a files catalog item.

Tool to create a files catalog item in DataRobot from a URL. Use when you need to import files from a publicly accessible URL into the DataRobot catalog. The file is downloaded and processed asynchronously - use GET_CATALOG_ITEM to check the import status.

Tool to add file(s) into an existing files catalog item from a URL. Use when you need to add additional files from a URL to an existing DataRobot files catalog item. The file download and processing happens asynchronously - poll the returned location URL to check status.

Tool to generate temporary download URLs for files in a catalog item. Use when you need to retrieve data from an unstructured dataset via direct download links. The generated URLs are temporary and valid for the specified duration (default 10 minutes, max 50 minutes).

Tool to stage a file for a batch upload in DataRobot. Use when uploading files to a specific catalog item's stage. Returns the catalog ID and stage ID upon successful upload.

Tool to create a GenAI custom model LLM validation. Use when you need to test and validate LLM deployment behavior. Returns a validation object with status TESTING initially; poll the validation status to check completion.

Tool to create a model package from a DataRobot Leaderboard model. Use after a model is trained and you need an offline package.

Tool to create a new modeling featurelist in a DataRobot project. Use when you need to define a custom set of features for model training.

Tool to create a new notebook in DataRobot Workbench for interactive code development. Use when you need to create a Jupyter notebook for data exploration, analysis, or model development.

Tool to create one or more environment variables for a specific notebook. Use when you need to add environment variables like API keys, credentials, or configuration values to a notebook.

Tool to create a new notebook in DataRobot by uploading a notebook file. Use when you need to import an existing Jupyter notebook (.ipynb) into DataRobot. The notebook is created asynchronously and returns immediately with notebook metadata.

Upload a prediction dataset from a DataSource for making predictions on a DataRobot project. Returns immediately with a status URL - the upload happens asynchronously. Use when you need to make predictions using data from an external data source connector.

Tool to initialize prediction explanations for a DataRobot model. Prediction explanations help understand which features most influenced individual predictions. Use after a model is trained to enable prediction explanation insights for that model.

Create a new DataRobot project from a dataset URL, existing dataset ID, or data source connector. Returns immediately with a project ID and status URL - project creation happens asynchronously. Use DATAROBOT_CHECK_PROJECT_STATUS or DATAROBOT_GET_PROJECT to verify the project is ready before starting modeling.

Tool to clone an existing DataRobot project. Use when you need to create a copy of a project with its dataset and optionally its settings. Project cloning happens asynchronously - use DATAROBOT_CHECK_PROJECT_STATUS to verify completion.

Tool to start Autopilot on a DataRobot project with a specific feature list. Use when you need to initiate automated model building with specified Autopilot settings. Prerequisites: The project must be in 'modeling' stage with a target already set.

Tool to create a blender model from multiple existing models in a DataRobot project. Blenders combine predictions from multiple models using methods like averaging or stacking. Use this after training multiple models to create an ensemble that may improve prediction accuracy.

Tool to validate columns for potential use as the group-by column for cross-series functionality in a DataRobot project. Use when configuring multiseries or time series projects with cross-series features.

Tool to retrain an existing datetime model with specified parameters. Use when you need to create a new version of a datetime model with different training settings, sample size, or feature list. This action is asynchronous and returns a job URL to monitor progress.

Tool to compute a feature association matrix for a DataRobot project using a specific featurelist. Use when you need to analyze feature correlations and associations in a project. The computation is asynchronous and returns immediately with a job ID to monitor progress.

Tool to create a new featurelist in a DataRobot project. Use when you need to define a custom set of features for model training.

Train a new frozen model with parameters from an existing model. Frozen models replicate the training parameters and hyperparameters of a source model, allowing you to retrain with different sample sizes or cluster counts while maintaining consistent methodology. Use when you want to test how a model performs with different data sizes or clustering configurations without changing its fundamental approach.

Tool to train a new model in a DataRobot project using a specific blueprint. Use this after obtaining a blueprintId from DATAROBOT_LIST_BLUEPRINTS or from existing models. The model training happens asynchronously - poll the returned location URL to monitor progress.

Submit a job to create a new version of a DataRobot model with different advanced tuning parameters. Use this to fine-tune model hyperparameters beyond the default Autopilot settings. The operation is asynchronous - poll the returned location URL to check job status.

Tool to add a request to calculate feature impact for a DataRobot model to the job queue. Use this to understand which features have the most influence on model predictions. The operation is asynchronous - poll the returned location URL to check job status.

Tool to retrain an existing model with specified parameters. Use when you need to create a new version of a model with different training settings, sample size, or feature list. This action is asynchronous and returns a job URL to monitor progress.

Tool to create a prediction dataset upload for a DataRobot project. Use when you need to upload a dataset that will be used for making predictions on a project. Returns a new dataset ID for the prediction dataset. For time series projects, you can specify forecast points or bulk prediction date ranges.

Tool to upload a prediction dataset from a URL to a DataRobot project. Use when you need to add prediction data from a publicly accessible URL to an existing project for scoring. The upload happens asynchronously - use the returned statusId to monitor progress.

Tool to create new predictions for a dataset using a trained model within a DataRobot project. Returns immediately with a status URL - prediction computation happens asynchronously. Use the location URL to poll for completion and retrieve results.

Tool to create training predictions for a DataRobot project. Use when you need to compute predictions on the training data using a trained model. Returns immediately with a status URL - computation happens asynchronously.

Tool to clone an existing wrangling recipe in DataRobot. Use when you need to create a copy of an existing recipe. The cloned recipe will have the same operations and settings as the original recipe.

Create a recipe and data source from a DataRobot data store. Use when connecting to external databases like Snowflake, BigQuery, Databricks, or Postgres to create a wrangling or SQL recipe. Requires an existing data store ID (from DATAROBOT_LIST_DATA_SOURCES) and use case ID (from GET /api/v2/useCases/).

Tool to create a DataRobot recipe from a dataset. Use when creating wrangling, SQL, or feature discovery recipes. Supports two modes: simple mode (requires dialect and status) or extended mode (requires recipeType with optional inputs and settings).

Tool to build SQL query for a DataRobot recipe. Use when you need to generate SQL from recipe operations or preview the SQL that would be executed. You can optionally override recipe operations or use input aliases instead of real table names.

Tool to create a secure configuration for storing credentials and sensitive data. Use when you need to securely store OAuth tokens, API keys, database credentials, or LLM provider credentials. The configuration can then be referenced in data sources, deployments, or other DataRobot resources.

Tool to create a new DataRobot use case. Use when you need to create a container for organizing related projects, deployments, models, and other resources around a business problem or initiative.

Tool to create a new user group. Use when you need to add a group to an existing DataRobot organization after confirming orgId.

Tool to create a new DataRobot value tracker for tracking ML project value and lifecycle stages. Use when you need to register a new ML initiative and track its business impact, feasibility, and stage progression. Value trackers help measure ROI and manage the lifecycle from ideation through production to retirement.

Tool to delete a custom Access Role. Use when you need to remove a custom role by its ID after verifying the ID.

Tool to cancel a DataRobot batch job. Use when you need to abort a queued or running batch prediction job.

Tool to delete a Batch Prediction job definition. Use when you need to permanently remove a batch monitoring job definition by its ID. Cannot delete if there are currently running jobs in the queue.

Tool to cancel a DataRobot Batch Prediction job. Use when you need to abort a running or queued batch prediction job.

Tool to delete a Batch Prediction job definition. Use when you need to permanently remove a job definition by its ID.

Tool to delete a DataRobot calendar. Use when you need to permanently remove a calendar by its unique ID.

Tool to delete a DataRobot comment. Use when you need to permanently remove a comment by its unique ID.

Tool to delete a compliance documentation template. Use when you need to permanently remove a compliance doc template by its ID.

Tool to delete a credentials set. Use when you need to permanently remove credentials by their unique ID.

Tool to delete a DataRobot custom application. Use when you need to permanently remove an application by its unique ID.

Tool to delete a custom application source with all its versions. Use when you need to permanently remove a custom application source by its ID.

Tool to delete a DataRobot custom job. Use when you need to permanently remove a custom job by its ID.

Tool to delete a custom model in DataRobot. Use when you need to permanently remove a custom model by its unique ID. Cannot delete models that are currently deployed.

Tool to delete multiple data slices in bulk. Use when you need to remove one or more data slices by their IDs. Supports deletion of up to 20 data slices in a single request.

Tool to delete a data slice. Use when you need to permanently remove a data slice by its unique ID.

Tool to delete a dataset from DataRobot. Use when you need to permanently remove a dataset by its unique ID.

Tool to soft delete a dataset definition by ID. Use when you need to remove a dataset definition without permanently deleting the underlying data.

Tool to soft delete a chunk definition by ID. Use when you need to remove a chunk definition from a dataset definition.

Tool to delete a dataset featurelist. Use when you need to permanently remove a featurelist from a dataset by its unique ID.

Tool to delete a DataRobot dataset refresh job. Use when you need to remove a scheduled dataset refresh job.

Tool to delete a dataset relationship. Use when you need to permanently remove a relationship between datasets by their unique IDs.

Tool to delete a DataRobot deployment. Use when you need to permanently remove a deployment by its unique ID.

Tool to delete an entity notification channel. Use when you need to remove a notification channel from a deployment or custom job.

Tool to delete an entity notification policy. Use when you need to remove a notification policy for a deployment or custom job.

Tool to delete an entity tag. Use when you need to remove an entity tag by its unique ID.

Tool to delete an external data source. Use when you need to permanently remove a data source by its unique ID. Note: deletion will fail if the data source is in use by one or more datasets.

Tool to delete an external data store. Use when you need to permanently remove a data store by its unique ID. Note: deletion will fail if the data store is in use by one or more data sources.

Tool to delete an external OAuth provider from DataRobot. Use when removing OAuth integrations for external services. This is an asynchronous operation that returns a job location URL for tracking deletion progress.

Tool to delete a file from DataRobot. Use when you need to permanently remove a file by its catalog ID.

Tool to delete files or folders from a DataRobot catalog item. Use when you need to remove specific files or folders by their paths. Folder paths should end with a slash '/'. Maximum 1000 paths can be deleted in a single request.

Tool to delete a GenAI cost metric configuration. Use when you need to remove a cost metric configuration by its unique ID.

Tool to delete a GenAI out-of-the-box (OOTB) metric configuration. Use when you need to remove an OOTB metric configuration by its unique ID.

Tool to delete a GenAI playground. Use when you need to permanently remove a playground by its unique ID.

Tool to delete multiple user groups by their IDs in a single request. Use when you need to remove several groups at once (limit 100 per request).

Tool to remove one or more users from a DataRobot user group by groupId. Use when you need to revoke group membership for existing users. Limit 100 users per request.

Tool to delete a specified modeling featurelist from a DataRobot project. Use when you need to remove a modeling featurelist by its ID. Supports dry-run mode to preview deletion impact and automatic deletion of dependencies.

Tool to delete a specific cell from a DataRobot notebook. Use when you need to permanently remove a cell from a notebook by its unique ID. Use after confirming the cell is no longer needed.

Tool to delete a notebook environment variable by ID. Use when you need to remove an environment variable from a specific notebook.

Tool to delete an exposed port from a notebook execution environment in DataRobot. Use when you need to remove a specific port that was previously exposed for a notebook.

Tool to delete a specific notebook revision by its ID. Use when you need to permanently remove a notebook revision.

Tool to delete a notification channel template. Use when you need to permanently remove a notification channel template by its ID.

Tool to delete an OpenTelemetry metric configuration for a specified entity. Use when you need to remove a metric configuration by its ID.

Tool to delete a payoff matrix from a DataRobot project. Use when you need to permanently remove a payoff matrix by its unique ID.

Tool to delete an existing prediction explanations initialization for a model. Use when you need to remove prediction explanation configuration from a specific model in a project.

Tool to delete a DataRobot project. Use when you need to permanently remove a project by its unique ID. Use after confirming the project is no longer needed.

Tool to delete a model from a DataRobot project's leaderboard. Use when you need to permanently remove a model by its ID.

Tool to cancel a modeling job for a DataRobot project. Use when you need to stop a queued or running model job by its ID. The job must not have already completed.

Tool to delete a specified featurelist from a DataRobot project. Use when you need to remove a featurelist by its ID. Supports dry-run mode to preview deletion impact and automatic deletion of dependencies.

Tool to delete a prediction dataset that was uploaded for a DataRobot project. Use when you need to permanently remove a prediction dataset by its unique ID.

Tool to delete a quota by its ID. Use when you need to permanently remove a quota from the system.

Tool to delete a wrangling recipe. Use when you need to permanently remove a recipe by its unique ID.

Tool to archive a registered model in DataRobot. Use when you need to remove a registered model by its unique ID.

Tool to delete a secure configuration and its values. Use when you need to permanently remove a secure configuration by its unique ID.

Tool to stop a DataRobot Spark wrangling session by size. Use when you need to terminate an active Spark session to free up resources.

Tool to delete a DataRobot use case. Use when you need to permanently remove a use case by its unique ID.

Tool to remove a related entity from a DataRobot use case. Use when you need to unlink a resource (dataset, project, deployment, etc.) from a use case.

Tool to delete a user-owned blueprint in DataRobot. Use when you need to permanently remove a user blueprint by its unique ID.

Tool to delete one or more user blueprints by their IDs. Use when you need to remove custom blueprints from DataRobot. Returns lists of successfully and unsuccessfully deleted blueprint IDs.

Tool to delete a user group by its ID. Use after confirming the group ID to remove that group.

Tool to delete all user notifications in DataRobot. Use when you need to clear all notifications for the authenticated user.

Tool to delete a DataRobot value tracker. Use when you need to permanently remove a value tracker by its unique ID.

Tool to download the latest custom model version content from DataRobot. Use when you need to retrieve a custom model archive.

Tool to download file data from a DataRobot catalog item by streaming it. Use when you need to retrieve the actual file content from the catalog.

Tool to download scoring code for a DataRobot deployment. Use after deployment is active.

Export tenant resource usage data for billing and cost analysis. Retrieves detailed usage records including CPU, GPU, and LLM workloads for a specified tenant and date range. Use the Get Account Info action first to obtain the required tenantId. Note: Start date cannot be before 2025-07-01.

Tool to finalize a multipart CSV upload for batch predictions. Use after uploading all CSV parts via PUT requests to submit the job to the scoring queue. Only works for jobs created with multipart=true.

Tool to retrieve details for a specific Access Role by ID. Use when you need confirmation of role permissions.

Retrieves account information for the currently authenticated user, including user ID (uid), email, name, tenant ID, and organization ID (orgId). No parameters required. Use this action to get the current user's orgId for listing organization users or tenantId for tenant-level operations.

Tool to retrieve which accuracy metrics are displayed and their order for a deployment. Use when you need the configured metrics order for a deployment.

Tool to retrieve baseline and accuracy metric values over time buckets for a deployment. Use when analyzing model performance trends; call after confirming the deployment is live.

Tool to retrieve a DataRobot batch job by ID. Use when you need details about a specific batch prediction or monitoring job.

Tool to retrieve a Batch Prediction job definition by ID. Use when you need to inspect configuration or check scheduling status.

Tool to retrieve a Batch Prediction job by ID. Use when you need to check the status or details of a batch prediction job.

Tool to retrieve information about a calendar by ID. Use when you need calendar details including events and format.

Tool to retrieve catalog item details by ID. Use when you need information about a specific catalog item including its status, type, and metadata.

Tool to retrieve the credentials set by ID. Use when you need to fetch details of a specific credential.

Tool to list credentials associated with a specific object. Use when you need to retrieve credentials linked to a data connection or batch prediction job definition.

Tool to retrieve a custom job by ID. Use when you need details about a specific DataRobot custom job.

Tool to retrieve custom job file content by custom job ID and item ID. Use when you need to access the contents of a specific file associated with a DataRobot custom job.

Tool to retrieve a specific custom model version in DataRobot. Use when you need details about a particular version of a custom model.

Tool to retrieve a DataRobot custom model by ID. Use when you need custom model metadata and version details before deployment or testing.

Tool to retrieve a single custom template by ID from DataRobot. Use when you need to get detailed information about a specific custom template.

Tool to retrieve a dataset by ID from DataRobot's catalog. Use when you need detailed metadata about a specific dataset.

Tool to retrieve a dataset definition by ID. Use when you need to inspect dataset schema, size, or metadata before using it in modeling or predictions.

Tool to retrieve a specific featurelist from a dataset. Use when you need to get details of a dataset featurelist including its features and metadata.

Tool to retrieve a feature transform for a specific dataset feature. Use when you need details about how a feature was transformed in DataRobot.

Tool to retrieve detailed information about a specific dataset version. Use when you need to inspect dataset metadata, schema, and processing state for a particular version.

Tool to retrieve a specific featurelist from a dataset version. Use when you need to get details of a featurelist associated with a specific version of a dataset.

Tool to retrieve datetime partitioning configuration for a project. Use when you need to inspect a project's time-series settings before modeling.

Tool to retrieve a deployment by ID. Use after creating or updating a deployment to fetch its full metadata and status.

Tool to retrieve accuracy metrics for a deployment over a time period. Use when you need to analyze model performance trends or drift for a specific deployment.

Tool to retrieve the capabilities for a deployment. Use after creating or loading a deployment to check supported features.

Tool to retrieve features in the universe dataset associated with a deployment. Use after deployment creation to explore its feature set.

Tool to return a checklist of deployment settings and their configuration state. Use when you need to verify which settings are set, partial, or not set for a given deployment.

Tool to retrieve an entity notification channel by ID for a specific deployment or custom job. Use when you need to get details about a notification channel configuration.

Tool to retrieve an entity notification policy by ID. Use when you need to fetch details about a specific notification policy for a deployment or custom job.

Tool to retrieve a specific entity notification policy template by ID. Use when you need to fetch details about a specific notification policy template for a deployment or custom job.

Tool to retrieve details about a specific execution environment by its ID. Use when you need to check environment configuration, versions, and deployment status.

Tool to retrieve external data source details by ID. Use when you need to inspect data source configuration or metadata.

Tool to retrieve a specific feature list by ID. Use when you need detailed information about a particular feature list in a DataRobot project.

Tool to retrieve a GenAI custom model LLM validation by ID. Use when you need validation details, status, or configuration for a custom model deployment.

Tool to retrieve a DataRobot guard configuration by ID. Use when you need to inspect or verify guard settings for custom models, playgrounds, or other entities.

Tool to retrieve information about a guard template by ID. Use when you need details about a specific guardrail template.

Tool to retrieve data quality summary for a dataset version. Use when you need to check data quality issues, warnings, or recommendations for a specific dataset version.

Tool to retrieve data quality summary for a dataset. Use when you need to assess data quality issues, check for anomalies, or review data quality check results before modeling.

Tool to retrieve feature effects insights for a DataRobot model. Use when analyzing feature importance and impact on model predictions for a specific data source (validation, training, or backtest).

Tool to retrieve paginated ROC curve insights for a specific model. Use when you need to analyze model performance using ROC curves for different data sources or slices.

Tool to retrieve paginated SHAP Impact insights for a specific model. Use when analyzing feature importance and impact on model predictions for a given model ID.

Tool to retrieve a model package by ID. Use when you need detailed information about a specific model package including capabilities, datasets, target info, and deployment status.

Tool to retrieve a specific DataRobot notebook by ID. Use when you need detailed information about a specific notebook.

Tool to retrieve a specific notification channel template by ID. Use when you need to fetch details about a notification channel template configuration.

Tool to retrieve an OpenTelemetry metric configuration for a specific entity. Use when you need details about OTel metrics for deployments, use cases, or other DataRobot entities.

Tool to retrieve a DataRobot project by ID. Use when you need project metadata before further operations.

Tool to list users with their roles on a project. Use after assigning permissions or when auditing project access. Example prompt: "List access control entries for project 5f6a7b8c9d0e1f2a3b4c5d6e, first page of 20."

Tool to retrieve a blueprint by its ID. Use when you need blueprint metadata and model details for a specific project.

Tool to retrieve details for an in-progress project job. Use after starting a project job to monitor its status before completion.

Tool to retrieve a single modeling featurelist by ID. Use when you need details about a specific featurelist within a DataRobot project.

Tool to retrieve a model from a DataRobot project. Use when you need details about a specific model's configuration, performance metrics, and training settings.

Tool to retrieve ROC curve data for a specific model from a single data source. Use when analyzing binary classification model performance across different thresholds.

Tool to get metadata of a specific prediction dataset in a DataRobot project. Use when you need to retrieve details about a dataset uploaded for prediction.

Tool to retrieve training predictions for a project. Use when you need to access prediction results from model training for analysis or validation purposes.

Tool to retrieve details of a specific operation from a wrangling recipe. Use when inspecting individual data transformation steps.

Tool to retrieve a DataRobot wrangling recipe by ID. Use when you need details about a specific recipe.

Tool to retrieve configured recommended settings for an entity type. Use when you need to get recommended configuration settings for deployments or other entities.

Tool to retrieve a registered model by ID. Use when you need to fetch metadata about a specific registered model.

Tool to retrieve a specific version of a registered model. Use when you need detailed information about a registered model version including its capabilities, datasets, target info, and deployment status.

Retrieve active users in a tenant over a date range. Returns a list of users who were active during the specified period. Use when an admin needs to audit user activity or generate usage reports. Note: The start date must be on or after 2025-07-01.

Tool to retrieve a DataRobot use case by ID. Use when you need to get details about a specific use case including its metadata, associated resources, and member information.

Tool to get dataset details in the scope of a use case. Use when you need detailed information about a specific dataset within a use case context.

Tool to retrieve a user group by its ID. Use when you need the group's properties and permissions.

Tool to retrieve a value tracker by ID. Use when you need to get details about a specific value tracker.

Tool to invite multiple users by email to join the DataRobot platform. Use when you need to send invitation emails to new users. The API returns a 202 status with a Location header to poll for job status.

Tool to list users assigned to an Access Role. Use when you need to fetch all users directly, via groups, or via organization by role ID.

Tool to list access roles. Use when you need to retrieve available access roles, with optional global filtering.

Tool to list application templates the user has access to. Use when browsing available application templates in DataRobot.

Tool to list DataRobot applications created by the authenticated user. Use when retrieving a paginated list of applications.

Tool to list all automated documents in DataRobot. Use when retrieving compliance documents, model reports, or other generated documentation.

Tool to list DataRobot batch jobs. Use when you need to retrieve batch job records filtered by status or source.

Tool to list DataRobot batch monitoring job definitions. Use when you need to retrieve scheduled batch monitoring job configurations with optional filtering by name or deployment ID.

Tool to list batch prediction job definitions. Use when retrieving scheduled or manual batch prediction configurations.

Tool to list DataRobot batch prediction jobs. Use when you need to retrieve batch prediction job records filtered by status, source, deployment, or other criteria.

Tool to list all catalog items accessible by the user. Use when you need to browse or search available datasets, user blueprints, and files in the DataRobot catalog.

Tool to list change requests in DataRobot. Use when you need to retrieve change requests for deployments or other entities, optionally filtering by status, owner, or entity.

Tool to retrieve available code snippets from DataRobot. Use when you need to get code examples for models, predictions, or workloads in various languages.

Tool to list all available credentials. Use when you need to retrieve credentials accessible to the authenticated user.

Tool to list all objects associated with specific credentials. Use when you need to find which deployments, data sources, or other objects are using a particular credential.

Tool to list custom applications created by the authenticated user. Use when retrieving a paginated list of custom applications from DataRobot.

Tool to list custom jobs in DataRobot. Use when you need to browse or filter available custom jobs, optionally filtering by running status, search term, or job type.

Tool to list all custom metrics associated with a custom job in DataRobot. Use when you need to browse or retrieve custom metrics linked to a specific custom job.

Tool to list custom job runs for a specific custom job in DataRobot. Use when you need to browse execution history of a custom job, optionally filtering by scheduled job ID.

Tool to list custom model deployments in DataRobot. Use when retrieving custom model deployments sorted by creation time.

Tool to list custom model tests for a specific custom model in DataRobot. Use when you need to retrieve testing history and results for a custom model.

Tool to list custom models in DataRobot. Use when retrieving paginated custom models from DataRobot.

Tool to list custom model versions in DataRobot. Use when retrieving all versions of a specific custom model.

Tool to retrieve a list of custom templates from DataRobot. Use when you need to browse, filter, or search available custom templates for applications.

Tool to list custom training blueprints in DataRobot. Use when you need to retrieve blueprints for custom model training, optionally filtered by model ID or target types.

Tool to retrieve the number of rows available after applying a data slice to a specified dataset subset. Use when you need to check the size of a data slice for a specific source (e.g., crossValidation, training, holdout).

Tool to list all available data sources. Use when retrieving the catalog of data connections.

Tool to list all dataset definitions for the user. Use when you need to browse or retrieve available dataset definitions.

Tool to retrieve permissions for a specific dataset in DataRobot. Use when you need to check what operations the current user can perform on a dataset.

Tool to list all projects that use a specific dataset version. Use when you need to find which projects are using a particular version of a dataset.

Tool to list all datasets in the DataRobot global catalog. Use when you need to browse or filter available datasets before modeling or prediction.

Tool to retrieve detailed information about all features in a DataRobot dataset. Use when you need feature statistics, types, and metadata for analysis or model preparation.

Tool to list all feature transforms applied to a dataset. Use when you need to understand the transformations applied to dataset features before modeling.

Tool to retrieve featurelists associated with a specific dataset in DataRobot. Use when you need to browse or filter featurelists for a dataset.

Tool to list shared roles for a dataset. Use when you need to view who has access to a dataset and their permission levels.

Tool to retrieve detailed information about all features in a specific DataRobot dataset version. Use when you need feature statistics, types, and metadata for a particular version of a dataset.

Tool to retrieve feature lists for a specific dataset version in DataRobot. Use when you need to list, search, or filter feature lists associated with a particular version of a dataset.

Tool to download original dataset data from a specific dataset version. Use when you need to retrieve the raw file for a dataset version.

Tool to list runtime parameters for a deployment. Use when retrieving deployment runtime parameter configurations.

Tool to list deployments a user can view. Use when retrieving paginated deployments from DataRobot.

Tool to retrieve accuracy metrics over batches for a deployment. Use when analyzing batch-level model accuracy trends or comparing performance across batches.

Tool to retrieve service health metrics for a deployment's batch predictions. Use when analyzing batch service performance, execution times, or error rates.

Tool to retrieve feature drift scores for a deployment over a time period. Use when you need to analyze feature drift metrics to monitor data quality and distribution changes in production.

Tool to retrieve deployment health settings. Use when you need to check the configuration for health monitoring of a deployment.

Tool to retrieve humility stats for a deployment. Use when you need to analyze humility metrics and rule violations for a specific deployment over a time period.

Tool to retrieve humility statistics over time for a deployment. Use when monitoring humility rule performance and trends across time periods.

Tool to retrieve champion model history for a deployment. Use when examining model changes and deployment history over time.

Tool to retrieve predictions results for a deployment. Use when you need to analyze prediction outputs and compare them with actual values.

Tool to retrieve metrics about predictions over time for a deployment. Use when analyzing prediction patterns, distribution trends, or monitoring prediction characteristics across time periods for a specific deployment.

Tool to retrieve metrics about predictions and actuals over a specific set of batches. Use when you need to analyze mean predicted & actual values, predicted & actual class distributions for a deployment.

Tool to retrieve predictions vs actuals over time for a deployment. Use when analyzing prediction quality and comparing predicted values with actual outcomes across time periods.

Tool to archive a DataRobot model package. Use when you need to archive a model package that is no longer actively used.

Tool to clone an application template into a codespace. Use when you need to create a new codespace from an existing template.

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 URL to check status.

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 parallel. If the limit is reached, stop or delete an existing notebook before creating a new one.

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 location URL to check status and retrieve the document once generation completes.

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 check completion status.

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.

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.

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, or Qlik based on your deployment/model configuration.

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.

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 text, custom sections, and table of contents. Sections can be nested up to 5 levels deep with a maximum of 500 total sections.

Tool to create a custom application source in DataRobot. Use when you need to create a new source for custom applications.

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 previous version.

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 sensible defaults for other fields.

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-specific, the aggregation type, and for numeric metrics, directionality and units.

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.

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.

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 based on the isMajorUpdate parameter.

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 URL to check job status and retrieve results.

Create a Data Engine workspace state by executing a SQL query against DataRobot datasets. Use when you need to transform, join, or prepare data before modeling. The workspace state captures the query definition and can be used to generate new datasets or feed into projects.

Create a new data slice in a DataRobot project to define a subset of data based on feature filters. Use when you need to analyze or model specific segments of your data (e.g., high-value customers, specific regions). Supports up to 3 filters with operators: eq, in, <, >, between, notBetween.

Tool to compute the number of rows available after applying a data slice to a dataset subset. Use when validating data slice filters or checking how many rows will be included in analysis for a specific data partition. Returns slice size and validation messages. Status 202 indicates successful validation.

Tool to create a feature transform on a DataRobot dataset. Use when you need to transform an existing feature into a new feature with a different type or extract date components. Feature creation is asynchronous - poll the returned location URL to check status.

Tool to schedule a dataset refresh job in DataRobot. Use when you need to automate periodic data updates for a dataset. The schedule must be at least daily (hourly schedules are not supported).

Tool to create dataset relationships in DataRobot by linking features between two datasets. Use when you need to enable advanced feature engineering across multiple datasets for modeling.

Tool to create a deployment actuals data export for a specified time period. Use when you need to export actuals data from a deployment to analyze model performance and accuracy.

Tool to submit actuals values from AI Catalog dataset for deployment monitoring. Use when you need to upload actual outcomes for predictions to enable accuracy tracking and monitoring. The submission is asynchronous - poll the Location header URL to check completion status.

Submit actual values for predictions to a DataRobot deployment. Use this to track model accuracy and performance over time by providing ground truth values that can be compared against predictions.

Bulk upload custom metric values to a DataRobot deployment. Use this to efficiently submit multiple timestamped custom metric values in a single request for model monitoring and observability.

Tool to upload custom metric values from a dataset to a deployment. Use when you need to populate custom metrics with data from an existing dataset. The operation is asynchronous and returns a location URL to check the import status.

Tool to create a monitoring batch for a DataRobot deployment. Use when you need to organize predictions into named batches for monitoring and tracking purposes. Monitoring batches help group related predictions for analysis and reporting.

Tool to create a prediction data export for a deployment. Use when you need to export prediction data for observability and data exploration.

Tool to create a deployment training data export in DataRobot. Use when you need to export the training data used for a deployed model. The export is enqueued asynchronously and processes in the background. Poll the returned location URL to check export status and retrieve the data once ready.

Tool to create an entity notification policy in DataRobot. Use when you need to set up automated notifications for specific events on deployments or custom jobs (e.g., health changes, model replacements, batch job completions). Requires a pre-existing notification channel; create one via the entity notification channels endpoint first.

Tool to create an entity notification policy from a template. Use when you need to set up automated notifications for events on deployments or custom jobs. The policy defines when notifications should be sent and through which channel (email, Slack, webhook, etc.).

Tool to create an entity notification policy template in DataRobot. Use when you need to set up notification rules for deployments or custom jobs. Templates allow you to define reusable notification policies that can be applied to multiple entities.

Tool to create a new entity tag in DataRobot. Use when you need to tag experiment containers for organization and categorization.

Tool to create a new version for an existing DataRobot execution environment. Use when you need to add a new version to an execution environment by specifying a Docker image URI, Docker context, or Docker image file. The environment version build is asynchronous - the API returns immediately with a 202 status.

Tool to request an on-demand image build for an execution environment version. Use when you need to trigger a build for a specific environment version before downloading or deploying it.

Tool to retrieve column metadata from an external data store. Use when you need to discover the schema and data types of tables in an external database connection. Requires a valid dataStoreId and authentication credentials.

Tool to retrieve column metadata for a table in an external data store. Use when you need to inspect the schema and structure of a database table. This operation is only supported for JDBC data stores.

Tool to retrieve database tables and views from a DataRobot external data store. Use when you need to browse available tables before creating a dataset from an external data source.

Create an external OAuth provider configuration in DataRobot for integrating with external services. Use this to configure OAuth authentication for services like GitHub, GitLab, Bitbucket, Google, Box, Microsoft, Jira, or Confluence. The provider enables secure authentication flows for accessing external resources from DataRobot.

Tool to create an empty stage for File Registry files upload. Use when you need to upload files to DataRobot's File Registry. The stage acts as a temporary upload container before finalizing the file.

Tool to generate temporary download URLs for catalog file versions. Use when you need to retrieve data from a catalog item and version via URLs. The generated URLs expire after the specified duration (default 600 seconds, maximum 3000 seconds).

Tool to create a GenAI chat prompt and execute it with an LLM. Use when you want to send a prompt to a DataRobot LLM for completion, optionally leveraging vector database retrieval for RAG workflows.

Tool to create a new GenAI comparison chat within a playground for comparing different LLM responses. Use when you need to set up a new comparison chat environment to evaluate multiple model outputs side-by-side.

Tool to create and run validation tests for GenAI custom model embeddings. Use when you need to verify that a custom model deployment meets DataRobot's requirements for embedding generation before using it in production.

Create a validation for a GenAI custom model deployment's vector database capabilities. Returns immediately with validation ID - validation runs asynchronously and status can be checked using the returned ID. Use when you need to verify that a custom model deployment can properly handle vector database operations for RAG (Retrieval-Augmented Generation) use cases.

Tool to create a GenAI custom model version from an LLM blueprint in DataRobot. Use when you need to register a custom model version for deployment or testing. Prerequisites: You must first create an LLM blueprint before calling this endpoint.

Tool to create a GenAI evaluation dataset configuration for testing LLM applications. Use when you need to set up evaluation datasets with prompt columns and optional response/tool call columns for assessing GenAI playground outputs. Required for running AI robustness tests on GenAI use cases.

Tool to create a new GenAI LLM blueprint for generative AI applications. Use when you need to configure an LLM with specific settings, system prompts, and optional RAG capabilities. Requires a valid playgroundId and llmId. Set llmId to 'custom-model' when using customModelLlmSettings.

Tool to create a GenAI LLM blueprint from an existing chat prompt. Use when you have a chat prompt ID and want to convert it into a reusable LLM blueprint for experimentation and deployment.

Tool to create a new GenAI LLM Blueprint by copying from an existing LLM Blueprint. Use when you need to duplicate an LLM blueprint configuration with modifications or for version control. The new blueprint inherits all properties from the source blueprint except for the name and description.

Tool to create a GenAI LLM test configuration for AI robustness testing. Use when you need to set up automated testing for LLM outputs against metrics like toxicity, jailbreak attempts, or PII leakage.

Tool to create a new GenAI LLM test suite for evaluating LLM applications. Use when you need to group LLM test configurations together for AI robustness testing. Requires a valid useCaseId - use DATAROBOT_LIST_USE_CASES to find available use cases.

Tool to create a new GenAI playground for experimenting with LLM applications. Use when you need to set up a new playground environment associated with a specific use case.

Tool to create OOTB (Out-of-the-Box) metric configurations for a GenAI playground. Use when you need to add performance, safety, and governance metrics to monitor LLM responses in a playground.

Tool to create a trace dataset for a GenAI playground. Use when you need to create a dataset for storing playground traces associated with a specific playground ID.

Tool to apply guard configurations to a new custom model version in DataRobot. Creates a new version with the specified moderation guards. Use when you need to add toxicity detection, PII filtering, or other content moderation to a custom model.

Create a guard configuration to monitor and control AI model behavior during prompt and response stages. Guards can detect issues like PII, toxic content, off-topic responses, or custom validation rules. Requires a templateId (from DATAROBOT_LIST_GUARD_TEMPLATES) and entityId (custom model or playground).

Tool to request calculation of a Lift chart insight in DataRobot. Use when you need to analyze model performance across population segments with optional data slicing. The Lift chart calculation is asynchronous. Poll the returned location URL to check status and retrieve results once calculation completes.

Request calculation of ROC curve insights for a DataRobot model, custom model, or vector database. The ROC curve is computed asynchronously and can optionally be filtered by a data slice. Use this to evaluate binary classification model performance across different data partitions.

Tool to request calculation of SHAP Distributions in DataRobot. Use when you need to analyze the distribution of SHAP values across features with optional data slicing. SHAP (SHapley Additive exPlanations) Distributions help understand how feature values contribute to model predictions across the dataset. The calculation is asynchronous - poll the returned location URL to check status and retrieve results once calculation completes.

Tool to request calculation of SHAP Impact insights in DataRobot. Use when you need to understand feature importance based on Shapley values with optional data slicing. SHAP (SHapley Additive exPlanations) Impact provides model-agnostic feature importance by quantifying how much each feature contributes to individual predictions. The calculation is asynchronous - poll the returned location URL to check status and retrieve results once computation completes.

Tool to request calculation of a SHAP Matrix insight in DataRobot. Use when you need feature importance explanations showing how each feature impacts model predictions, with optional data slicing. The SHAP Matrix calculation is asynchronous. Poll the returned location URL to check status and retrieve results once calculation completes.

Request calculation of SHAP Preview insights with an optional data slice. Returns immediately with a queue ID - the SHAP computation happens asynchronously. Use the queue ID to poll for job status and retrieve results when complete.

Tool to create a DataRobot model package from JSON metadata. Use when you have custom model metadata and want to register it as a model package without a Leaderboard model.

Tool to expose a port on a DataRobot notebook execution environment. Use when you need to access a web service or application running inside a notebook (e.g., Flask/FastAPI apps, Jupyter extensions, or custom web servers). The notebook must be running to expose ports. Maximum 5 ports can be exposed per notebook.

Tool to clone a notebook from an existing revision, creating a new notebook as a copy. Use when you need to create a new notebook based on a specific revision of an existing notebook. The operation is asynchronous and returns immediately with the new notebook ID.

Tool to create a scheduled notebook job in DataRobot. Use when you need to run a Jupyter notebook on a schedule or programmatically. The notebook must exist in DataRobot Codespaces before creating the job. Configure cron-like schedules to automate notebook execution.

Tool to manually trigger a notebook job run in DataRobot. Use when you need to execute a notebook on-demand with optional parameters. For Codespace notebooks, both notebookId and notebookPath are required.

Tool to create a new revision for a DataRobot notebook. Use when you need to save a checkpoint of a notebook's current state for version control or tracking changes.

Tool to record client activity for a running notebook session. Use when tracking notebook session heartbeats or activity. This endpoint helps DataRobot track that a notebook session is still active.

Tool to batch create multiple cells in a DataRobot notebook. Use when you need to add multiple code or markdown cells to an existing notebook at a specific position. The cells are inserted after the specified cell ID, allowing precise control over cell placement.

Tool to batch delete multiple cells from a DataRobot notebook. Use when you need to remove multiple cells at once by their cell IDs. The deletion is permanent and cannot be undone.

Tool to create a notification channel template in DataRobot. Use when you need to set up notification channels for alerts, monitoring, or integration with external services. Different channel types require different parameters (e.g., Email requires emailAddress, Webhook requires payloadUrl).

Tool to send a 6-digit verification code to a user's email address for setting up a notification channel. Use this action before creating an email notification channel to verify the email address. The verification code sent via this endpoint should be used when creating the actual email notification channel.

Tool to test webhook notification channel configuration by creating a test notification. Use when you need to validate webhook settings before creating a production notification channel.

Verify the notification email channel verification code. Use when an admin needs to confirm their email address for notifications by entering a 6-digit verification code.

Tool to create an OCR (Optical Character Recognition) job resource in DataRobot. Use when you need to extract text from images or scanned documents in a dataset. The OCR job processes the input dataset and creates an output dataset with extracted text.

Tool to create an OpenTelemetry metric configuration for a DataRobot entity (deployment, use case, etc.). Use when you need to set up custom metric tracking for monitoring entity performance.

Tool to get OpenTelemetry metric values for a specified entity, grouped by multiple attributes. Use when analyzing metrics segmented by attributes like HTTP method, status code, or other OpenTelemetry dimensions.

Create multiple new features by transforming existing features to a different variable type. Use when you need to convert feature types in bulk (e.g., numeric to categorical, text to numeric). The operation is asynchronous - monitor the returned Location URL for completion status.

Tool to submit a job to create bias mitigation data quality information for a given project and feature. Use when you need to create bias mitigation feature info for fairness analysis.

Tool to prepare a DataRobot model for deployment by marking it as deployment-ready. Use when you have a trained model that needs to be packaged for deployment. The operation is asynchronous - poll the returned location URL to check completion status. After the model is deployment-ready, use DATAROBOT_CREATE_MODEL_PACKAGE to create a deployable package.

Tool to request Feature Effects calculation for a DataRobot model. Feature Effects show how each feature impacts predictions, including partial dependence and predicted vs actual relationships. Use when you need to compute Feature Effects for model interpretability analysis. The computation is asynchronous - use the returned location URL to poll for completion status.

Tool to create a payoff matrix for a binary classification project in DataRobot. Use when you need to define cost-benefit values for model predictions to evaluate profit curves. Only works with binary classification projects.

Tool to upload a modified rating table file to a DataRobot project. Use when you need to create a new rating table from a parent model. Returns the created rating table ID and name.

Create a new feature by changing the type of an existing feature in a DataRobot project. Use when you need to convert a single feature to a different variable type (e.g., numeric to text, categorical to numeric). The operation is asynchronous - monitor the returned Location URL for completion status.

Tool to start the job that generates a preview of the data after applying a wrangling recipe. Returns immediately with a status URL - preview generation happens asynchronously.

Tool to create a relationships configuration in DataRobot for connecting multiple datasets for feature engineering. Use when you need to define how datasets relate to each other for time-aware or multi-table machine learning projects. The relationships configuration enables DataRobot to automatically generate features from related datasets by defining join keys and temporal relationships.

Tool to post a remote deployment event to DataRobot. Use when you need to record custom events related to deployments such as health changes, model replacements, or prediction failures.

Tool to encrypt a string which DataRobot can decrypt when needed. Use when storing sensitive data like passwords or credentials that DataRobot needs to access data stores.

Tool to create a customer usage data artifact request in DataRobot. Use when you need to export usage tracking data for audit, billing, or compliance purposes. Requires "CAN_ACCESS_USER_ACTIVITY" permission. The artifact generation is asynchronous. Poll the returned location URL to check status and retrieve the artifact ID once generation completes. The artifact will be in .zip format.

Tool to link multiple entities to a DataRobot use case in bulk. Use when you need to associate projects, notebooks, deployments, datasets, or other resources with a use case for organizational purposes.

Clone a blueprint from a project to create a user blueprint. Use when you need to save a project blueprint to your catalog for reuse in other projects. The created user blueprint can be customized and applied to different datasets.

Tool to validate multiple user blueprints in bulk and check their configuration correctness. Use when you need to verify that custom blueprints are properly configured before running them in a project.

Add user blueprints to a DataRobot project's repository. Use when you want to make custom blueprints available for modeling in a specific project.

Tool to validate task parameters for custom tasks in DataRobot User Blueprints. Use when building custom blueprints to verify that parameter values are acceptable before saving. Returns validation errors for any invalid parameters, or an empty errors list if all are valid.

Tool to attach resources to a DataRobot value tracker. Use when you need to link datasets, projects, deployments, or other objects to a value tracker for monitoring. Returns the list of successfully attached objects. Requires that the value tracker is writable and all specified objects are readable.

Tool to delete a custom application source version if it is still mutable. Use when you need to remove a specific version of a custom application source by its ID.

Tool to delete a specific version of a dataset from DataRobot's catalog. Use when you need to permanently remove a dataset version that is no longer needed.

Tool to delete an actuals data export job from a deployment. Use when you need to remove an export by its unique ID.

Tool to delete a custom metric from a deployment. Use when you need to permanently remove a custom metric by its unique ID.

Tool to delete a monitoring batch from a deployment. Use when you need to permanently remove a monitoring batch by its unique ID.

Tool to delete a retraining policy from a deployment. Use when you need to permanently remove a retraining policy by its unique ID.

Tool to delete a custom model LLM validation from DataRobot. Use when you need to remove a specific LLM validation by its ID.

Tool to delete a custom model vector database validation in DataRobot. Use when you need to remove a validation test for a custom model's vector database compatibility.

Tool to delete a GenAI LLM blueprint in DataRobot. Use when you need to remove an LLM blueprint configuration by its unique ID.

Tool to delete an LLM test configuration in DataRobot. Use when you need to remove a test configuration for LLM robustness testing.

Tool to delete a notebook job in DataRobot. Use when you need to permanently remove a scheduled or manual notebook job by its unique ID.

Tool to delete a notebook in DataRobot. Use when you need to permanently remove a notebook by its unique ID.

Tool to delete a task status object. Use when you need to remove a status entry by its unique ID.

Tool to delete a user notification by ID. Use when you need to permanently remove a specific notification from the user's notification list.

Tool to start the job that detects standard user-defined functions for an external data store. Use when you need to detect rolling_median or rolling_most_frequent functions in a database schema.

Tool to download custom model version content from DataRobot as a file archive. Use when you need to retrieve the full model version package including code and dependencies.

Tool to evaluate which entitlements are enabled for the authenticated user's DataRobot account. Use when checking feature availability or permissions before attempting operations that require specific entitlements.

Tool to retrieve a portable batch prediction job definition snippet. Use when you need the configuration to run portable batch predictions outside DataRobot.

Tool to retrieve a DataRobot change request by ID. Use when you need details about a pending or completed change request for a deployment.

Tool to retrieve a compliance documentation template by ID. Use when you need to view template details, structure, or sections before generating compliance documents.

Tool to retrieve a custom application source by ID. Use when you need to get details about a specific custom application source.

Tool to retrieve a single custom template file by its ID. Use when you need to access the content and metadata of a specific file within a custom template.

Tool to retrieve a data engine workspace state by ID. Use when you need details about a specific data engine query execution.

Tool to retrieve a Data Slice by ID. Use when you need to inspect a data slice configuration or filters for a project.

Tool to download the original dataset file from DataRobot. Use when you need to retrieve the raw data for a dataset. Note: dataset must have dataPersisted=true and be a snapshot to be downloadable.

Tool to retrieve histogram data for a specific feature in a dataset. Use when you need to analyze the distribution of values for a feature in the DataRobot dataset catalog.

Tool to retrieve a scheduled dataset refresh job by ID. Use when you need details about a specific dataset refresh schedule configuration.

Tool to retrieve dataset feature histogram from DataRobot. Use when you need to visualize feature value distributions or understand feature characteristics.

Tool to retrieve the champion model package for a deployment. Use when you need detailed information about the model package currently deployed as champion.

Tool to retrieve a single actuals data export for a deployment. Use when you need to check the status or results of an actuals data export job.

Tool to retrieve a single custom metric metadata for a deployment. Use when you need detailed information about a specific custom metric configured for a deployment.

Tool to retrieve a monitoring batch in a deployment. Use when you need to check the status or details of a specific monitoring batch.

Tool to retrieve a single prediction data export for a deployment. Use when you need to check the status or results of a prediction data export job.

Tool to retrieve a single training data export for a deployment. Use when you need to get details of a training data export by ID.

Tool to list notification channels related to a specific entity. Use when retrieving notification channels for a deployment or custom job.

Tool to list entity notification policies for deployments or custom jobs. Use when retrieving notification configurations for a specific entity.

Tool to list entity notification policy templates for a specific entity type. Use when retrieving notification policy templates for deployments or custom jobs.

Tool to retrieve a specific execution environment version by ID. Use when you need details about a particular environment version's build status, Docker context, and configuration.

Tool to retrieve external data driver details by driver ID. Use when you need driver metadata, configuration, or authentication types.

Tool to retrieve external data store details by ID. Use when you need information about a specific data store configuration.

Tool to retrieve external driver configuration details by ID. Use when you need driver configuration metadata including JDBC settings, field schemas, and authentication types.

Tool to retrieve an external OAuth provider by ID. Use when you need the provider's configuration and connection details.

Tool to retrieve a frozen model from a DataRobot project. Use when you need details about a specific frozen model's configuration and performance metrics.

Tool to retrieve a GenAI chat by ID. Use when you need to fetch chat details including status, associated LLM blueprint, and prompt count.

Tool to retrieve a GenAI chat prompt by ID. Use when you need to fetch details about a specific chat prompt interaction.

Tool to retrieve a GenAI comparison chat by ID. Use when you need to fetch details about a specific comparison chat in DataRobot's GenAI playground.

Tool to retrieve details for a specific GenAI LLM by its ID. Use when you need to get configuration, settings, or metadata for a particular language model.

Tool to retrieve a GenAI LLM test suite by ID. Use when you need details about a specific LLM test suite configuration.

Tool to retrieve a GenAI OOTB metric configuration by ID. Use when you need details about a specific out-of-the-box metric configuration for GenAI playgrounds.

Tool to retrieve a DataRobot GenAI playground by ID. Use when you need playground details for GenAI operations.

Tool to retrieve data quality report for a feature of a dataset version. Use when you need to assess data quality issues for a specific feature.

Tool to retrieve feature impact insights for a DataRobot model. Use when you need to understand which features are most important in model predictions. Supports filtering by data slice, source partition, and pagination for large result sets.

Tool to retrieve Lift chart insights for a DataRobot model. Use when you need to analyze model performance across different population segments, comparing predicted vs actual outcomes. Supports filtering by data slice, source partition, and pagination for large result sets.

Tool to retrieve SHAP (SHapley Additive exPlanations) distribution insights for a DataRobot model. Use when you need to understand how feature values contribute to model predictions across the dataset. SHAP distributions show how features impact predictions for different data subsets, helping explain model behavior. Supports filtering by data slice, source partition, external datasets, and pagination for large result sets.

Tool to retrieve SHAP Preview insights for a DataRobot model. Use when analyzing feature importance and SHAP values for model predictions.

Tool to retrieve a specific MLOps compute bundle by ID. Use when you need to check resource specifications (CPU, memory, GPU) for deployments or custom models.

Tool to retrieve the number of iterations trained for a DataRobot model. Use when you need early stopping information for a specific model.

Tool to retrieve word cloud data for a DataRobot text-based model. Returns the most important ngrams (words/phrases) with their coefficients, frequencies, and counts. Use when analyzing feature importance for NLP models or understanding which text features drive predictions.

Tool to retrieve a notebook code snippet by ID. Use when you need to fetch details of a specific code snippet from DataRobot notebooks.

Tool to retrieve notebook environment variables by ID. Use when you need to view configured environment variables for a specific notebook.

Tool to retrieve a notebook execution environment by ID. Use when you need details about a specific execution environment configuration.

Tool to retrieve the execution status of a DataRobot notebook. Use when you need to check the current execution state of a notebook, including running status and queued cells.

Tool to retrieve a DataRobot notebook job by ID. Use when you need to inspect the configuration, schedule, or status of a specific notebook job.

Tool to retrieve a specific notebook revision by notebook ID and revision ID. Use when you need details about a particular saved version of a notebook.

Tool to retrieve the status of a notification webhook channel test. Use when checking test results after creating a webhook channel test.

Tool to get OpenTelemetry metric values grouped by segments attribute. Use when analyzing metrics across different segment values.

Tool to retrieve OpenTelemetry metric values grouped by a segment attribute over a time period. Use when analyzing metrics segmented by attributes like model version or deployment ID.

Tool to retrieve OpenTelemetry traces for monitoring and debugging. Use when you need to inspect trace details for deployments, use cases, or other entities.

Tool to retrieve the JSON representation of a DataRobot blueprint. Use when you need the detailed blueprint structure with task configurations.

Tool to retrieve a file with format errors of potential multicategorical features for a DataRobot project. Use when you need to inspect formatting issues in multicategorical features.

Tool to retrieve the result of a batch variable type transformation. Use when you need to check the status and outcome of a feature type transformation job.

Tool to get a list of duplicate images containing the number of occurrences of each image. Use when analyzing Visual AI projects for duplicate images.

Tool to retrieve feature histogram data for a specific feature in a DataRobot project. Use when you need to visualize feature distributions or analyze feature value patterns.

Tool to retrieve detailed information about a specific feature in a DataRobot project. Use when you need to inspect feature properties, statistics, or metadata for a given feature name.

Tool to retrieve detailed information about a specific modeling feature in a DataRobot project. Use when you need to inspect modeling feature properties, statistics, importance, or metadata for a given feature name.

Tool to retrieve lift chart data from a single source for a project model. Use when you need to analyze lift chart performance metrics for a specific data source like validation, crossValidation, holdout, or backtests.

Tool to retrieve a rating table model from a DataRobot project. Use when you need details about a specific rating table model's configuration, performance metrics, and training settings.

Tool to retrieve rating table information from a DataRobot project. Use when you need details about a specific rating table including validation status and associated models.

Tool to retrieve a specific quota template by ID. Use when you need details of a particular quota template.

Tool to retrieve a specific quota by ID. Use when you need details about resource quotas and policies.

Tool to retrieve a secure configuration by ID. Use when you need to inspect secure configuration metadata before performing operations.

Tool to retrieve a secure configuration schema by ID. Use when you need the schema definition for a secure config.

Tool to retrieve a value tracker value template by its type. Use when you need to understand the schema and parameters for classification or regression value tracking.

Tool to initialize compliance documentation pre-processing for a model or model package. Use when you need to prepare a model for compliance document generation. The initialization is asynchronous. Poll the returned location URL to check status and wait for completion before generating compliance documents.

Tool to link a single entity to a DataRobot use case. Use when you need to associate a project, dataset, notebook, deployment, or other resource with a use case for organizational purposes.

Tool to bulk link multiple DataRobot notebooks to a use case. Use when you need to associate multiple notebooks with a specific use case in DataRobot Workbench. All notebook IDs and the use case ID must be valid 24-character hexadecimal ObjectIds.

Tool to retrieve an application template image from DataRobot. Use when you need to download the media/image associated with a specific application template.

Tool to find approval policy ID matching the query. Use when determining which approval policy applies to a specific entity type and action.

Tool to get a list of available approval policy triggers. Use when you need to view all possible triggers that can be configured for approval policies.

Tool to list all available automated document types and locales. Use when determining which document types can be generated for compliance documentation.

Tool to retrieve the list of allowed country codes for preloaded calendar generation. Use when you need to find which country codes are supported for calendar features in DataRobot.

Tool to list all available calendars for a user in DataRobot. Use when you need to browse or filter calendars for time-series modeling.

Tool to list users with their roles on a calendar. Use when you need to retrieve access control information for a specific calendar.

Tool to list compliance documentation templates in DataRobot. Use when you need to browse or filter available templates for compliance documentation.

Tool to retrieve the default compliance documentation template from DataRobot. Use when you need to get the template structure for creating compliance documentation for AutoML projects, time series projects, or text generation models.

Tool to list custom application sources created by the authenticated user. Use when retrieving a paginated list of custom application sources for managing application deployments.

Tool to list custom application source versions of a specified application source. Use when you need to retrieve paginated versions of a custom application source.

Tool to retrieve custom job limits from DataRobot. Use when you need to check parallel job run limits or timeout settings.

Tool to get the access control list for a custom job. Use when you need to view who has access to a specific custom job and their roles.

Tool to retrieve custom model deployment logs. Use when debugging or monitoring custom model deployments.

Tool to get custom model resource limits in DataRobot. Use when you need to check memory, replica, and testing constraints for custom models.

Tool to list users with their roles on a custom model. Use when you need to retrieve access control information for a specific custom model.

Tool to list all dataset definition versions for a given dataset definition. Use when you need to view version history or select a specific version of a dataset definition.

Tool to list users with their roles on a dataset. Use when you need to retrieve access control information for a specific dataset.

Tool to list all projects associated with a specific dataset. Use when you need to find which projects are using a particular dataset.

Tool to list scheduled refresh jobs for a specific dataset. Use when you need to view or manage dataset refresh schedules.

Tool to list execution results of a dataset refresh job. Use when you need to view the history and status of refresh job executions.

Tool to list related datasets for a specific dataset. Use when you need to discover relationships between datasets in DataRobot's catalog.

Tool to list all versions of a specific dataset in DataRobot. Use when you need to browse or filter different versions of a dataset before selecting one for modeling or prediction.

Tool to list all deleted custom jobs in DataRobot. Use when you need to retrieve information about custom jobs that have been deleted from the system.

Tool to list challenger models for a deployment. Use when retrieving challenger models that can replace the current champion model.

Tool to retrieve segment attributes for a deployment based on monitoring type. Use when you need to analyze deployment segmentation for service health, data drift, accuracy, or other monitoring metrics.

Tool to retrieve a list of asynchronous actuals data exports for a deployment. Use when you need to monitor or retrieve actuals data export status for a specific deployment.

Tool to retrieve challenger replay settings for a deployment. Use when checking scheduled replay configuration for challenger models.

Tool to retrieve a list of custom metrics for a deployment. Use when you need to view all custom metrics configured for a specific deployment.

Tool to retrieve the summary of deployment batch custom metric. Use when you need to get aggregated custom metric data for a specific deployment batch.

Tool to retrieve the summary of a deployment custom metric. Use when you need to view aggregated statistics and performance metrics for a specific custom metric within a deployment over a time period.

Tool to retrieve the bulk summary of deployment custom metrics. Use when you need to get an overview of all custom metric values for a deployment over a specific time period.

Tool to retrieve custom metric values over batch for a deployment. Use when you need to analyze custom metric performance across different batches for a specific deployment and custom metric.

Tool to retrieve custom metric values over time for a deployment. Use when analyzing custom metric trends or monitoring custom metrics across time periods.

Tool to retrieve drift over batch info for features of a deployment. Use when analyzing feature drift across batches to monitor data quality.

Tool to retrieve default deployment health settings for a deployment. Use when you need to understand the default health monitoring configuration.

Tool to retrieve the limits related to monitoring batches for a deployment. Use when you need to check constraints on batch size and prediction counts for monitoring operations.

Tool to list monitoring batches for a deployment in DataRobot. Use when you need to retrieve paginated monitoring batches with optional filtering by creator, search term, creation time, or prediction timestamps.

Tool to list information about models that have data in a monitoring batch. Use when you need to view which models contributed predictions to a specific batch.

Tool to list prediction data exports for a deployment. Use when retrieving paginated prediction data exports from DataRobot for observability and data exploration.

Tool to retrieve prediction metadata over batches for a deployment. Use when analyzing batch prediction performance and trends.

Tool to retrieve deployment quota consumers. Use when querying resource consumption or quota allocation for a specific deployment.

Tool to list retraining policies for a deployment. Use when retrieving policies that automate model retraining based on triggers.

Tool to fetch deployment retraining settings. Use when you need to retrieve the retraining configuration for a specific deployment.