DataRobot

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.

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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.

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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_PACK…

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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.

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

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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 dif…

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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.

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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.

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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 r…

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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.

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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.

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Tool to create SHAP-based Feature Impact for a specific DataRobot model. DEPRECATED API - prefer CreateInsightsShapImpact for new implementations. This endpoint initiates an asynchronous calculation of SHAP values for feature importance. Poll the returned location URL to check status and retrieve results once the calc…

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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/).

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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.

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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.

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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…

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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.

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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.

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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.

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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 artifa…

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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.

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