save_forecast

Save forecast data and explanations from Chronulus AI as CSV and TXT files. Specify prediction ID, output path, and file names. Optionally rescale predictions for analysis and reference.

Instructions

A tool that saves a Chronulus forecast from NormalizedForecaster to separate CSV and TXT files

When to use this tool:

Use this tool when you need to save both the forecast data and its explanation to files
The forecast data will be saved as a CSV file for data analysis
The forecast explanation will be saved as a TXT file for reference
Both files will be saved in the same directory specified by output_path
This tool can also be used to directly save rescaled predictions without first calling the rescaling tool

How to use this tool:

Provide the prediction_id from a previous forecast
Specify the output_path where both files should be saved
Provide csv_name for the forecast data file (must end in .csv)
Provide txt_name for the explanation file (must end in .txt)
Optionally provide y_min and y_max to rescale the predictions (defaults to 0)
Set invert_scale to True if the target units run in the opposite direction
The tool will provide status updates through the MCP context

Input Schema

Name	Required	Description
`csv_name`	Yes	The path where the CSV file should be saved. Should end in .csv
`invert_scale`	No	Set this flag to true if the scale of the new units will run in the opposite direction from the inputs.
`output_path`	Yes	The path where the CSV file should be saved. Should end in .csv
`prediction_id`	Yes	The prediction_id from a prediction result
`txt_name`	Yes	The name of the TXT file to be saved. Should end in .txt
`y_max`	No	The expected largest value for the use case. E.g., for product sales, 0 would be the largest possible value would be given by the user or determined from this history of sales for the product in question or a similar product.
`y_min`	No	The expected smallest value for the use case. E.g., for product sales, 0 would be the least possible value for sales.

Input Schema (JSON Schema)

{
  "properties": {
    "csv_name": {
      "description": "The path where the CSV file should be saved. Should end in .csv",
      "title": "Csv Name",
      "type": "string"
    },
    "invert_scale": {
      "default": false,
      "description": "Set this flag to true if the scale of the new units will run in the opposite direction from the inputs.",
      "title": "Invert Scale",
      "type": "boolean"
    },
    "output_path": {
      "description": "The path where the CSV file should be saved. Should end in .csv",
      "title": "Output Path",
      "type": "string"
    },
    "prediction_id": {
      "description": "The prediction_id from a prediction result",
      "title": "Prediction Id",
      "type": "string"
    },
    "txt_name": {
      "description": "The name of the TXT file to be saved. Should end in .txt",
      "title": "Txt Name",
      "type": "string"
    },
    "y_max": {
      "default": 1,
      "description": "The expected largest value for the use case. E.g., for product sales, 0 would be the largest possible value would be given by the user or determined from this history of sales for the product in question or a similar product.",
      "title": "Y Max",
      "type": "number"
    },
    "y_min": {
      "default": 0,
      "description": "The expected smallest value for the use case. E.g., for product sales, 0 would be the least possible value for sales.",
      "title": "Y Min",
      "type": "number"
    }
  },
  "required": [
    "prediction_id",
    "output_path",
    "csv_name",
    "txt_name"
  ],
  "title": "save_forecastArguments",
  "type": "object"
}

Chronulus MCP Server

save_forecast

Instructions

Input Schema

Input Schema (JSON Schema)

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