Categories

Data Interpolator

Advanced data interpolation tool that fills missing values and generates data points using various mathematical methods. Perfect for time series analysis, data completion, signal processing, and scientific computing. Features: - Multiple interpolation methods (linear, polynomial, spline, cubic) - Time series interpolation with date/time support - Forward fill and backward fill options - Nearest neighbor interpolation - Custom interpolation parameters - Missing value detection and reporting - Data point generation and densification - Support for multiple columns simultaneously - Interactive interpolation preview Common Use Cases: - Sensor data gap filling - Financial data completion - Scientific experiment data processing - Time series forecasting preparation - Image and signal processing - Statistical data imputation

Column to use as index for ordered interpolation (e.g., date, time, sequence)

Degree for polynomial interpolation (used when method is polynomial)

Maximum number of consecutive missing values to interpolate

Value to use when interpolation method is "custom"

Keep original columns with "_original" suffix

Add columns to flag interpolated values

Include detailed interpolation analysis report

Format for date output (e.g., YYYY-MM-DD, MM/DD/YYYY)

Number of decimal places for numeric values

API Documentation

Request Endpoint

POST /en/api/tools/data-interpolator

Request Parameters

Parameter Name Type Required Description
inputData textarea Yes -
targetColumns textarea No -
indexColumn text No Column to use as index for ordered interpolation (e.g., date, time, sequence)
interpolationMethod select No -
polynomialDegree number No Degree for polynomial interpolation (used when method is polynomial)
extrapolationMethod select No -
maxGapSize number No Maximum number of consecutive missing values to interpolate
fillDirection select No -
customValue text No Value to use when interpolation method is "custom"
preserveOriginal checkbox No Keep original columns with "_original" suffix
markInterpolated checkbox No Add columns to flag interpolated values
generateReport checkbox No Include detailed interpolation analysis report
dateFormat text No Format for date output (e.g., YYYY-MM-DD, MM/DD/YYYY)
decimalPlaces number No Number of decimal places for numeric values

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-data-interpolator": {
      "name": "data-interpolator",
      "description": "Advanced data interpolation tool that fills missing values and generates data points using various mathematical methods. Perfect for time series analysis, data completion, signal processing, and scientific computing.

Features:
- Multiple interpolation methods (linear, polynomial, spline, cubic)
- Time series interpolation with date/time support
- Forward fill and backward fill options
- Nearest neighbor interpolation
- Custom interpolation parameters
- Missing value detection and reporting
- Data point generation and densification
- Support for multiple columns simultaneously
- Interactive interpolation preview

Common Use Cases:
- Sensor data gap filling
- Financial data completion
- Scientific experiment data processing
- Time series forecasting preparation
- Image and signal processing
- Statistical data imputation",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=data-interpolator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]