Data Processing
Advanced boundary value processing tool that identifies and handles minimum/maximum values in numerical data. Perfect for data validation, range checking, statistical analysis, and data preprocessing. Features: - Multiple boundary detection methods (absolute, percentile, standard deviation) - Flexible handling strategies (clip, remove, replace, transform) - Custom range validation - Asymmetric boundary handling - Batch processing capabilities - Comprehensive boundary statistics - Data quality assessment - Visual boundary reports Common Use Cases: - Data validation and quality control - Sensor data range checking - Financial data limit enforcement - Statistical data preprocessing - Machine learning feature engineering - Database constraint validation
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/data-boundary-processor' \
-H 'Content-Type: application/json' \
-d '{"inputData":"name,age,salary,score,temperature\nAlice,25,50000,85.2,36.5\nBob,32,75000,92.7,38.1\nCharlie,28,60000,78.9,37.2","targetColumns":"age, salary, score\n\nLeave empty to auto-detect numeric columns","minMethod":"absolute","maxMethod":"absolute","minValue":0,"maxValue":0,"lowerPercentile":5,"upperPercentile":95,"lowerStdDev":3,"upperStdDev":3,"handlingStrategy":"clip","replacementMethod":"boundary","asymmetricMode":false,"preserveOriginal":false,"markBoundaryValues":true,"includeStatistics":true,"strictMode":false}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/data-boundary-processor| Name | Type | Required | Description |
|---|---|---|---|
| inputData | textarea | Yes | — |
| targetColumns | textarea | No | — |
| minMethod | select | No | — |
| maxMethod | select | No | — |
| minValue | number | No | Fixed minimum value (used when minMethod is absolute) |
| maxValue | number | No | Fixed maximum value (used when maxMethod is absolute) |
| lowerPercentile | number | No | Lower percentile for boundary detection (0-50) |
| upperPercentile | number | No | Upper percentile for boundary detection (50-100) |
| lowerStdDev | number | No | Standard deviations below mean for lower bound |
| upperStdDev | number | No | Standard deviations above mean for upper bound |
| handlingStrategy | select | No | — |
| replacementMethod | select | No | — |
| asymmetricMode | checkbox | No | Apply different strategies for min/max boundaries |
| preserveOriginal | checkbox | No | — |
| markBoundaryValues | checkbox | No | Add columns to flag boundary violations |
| includeStatistics | checkbox | No | — |
| strictMode | checkbox | No | Treat boundary values as errors in strict mode |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-data-boundary-processor": {
"name": "data-boundary-processor",
"description": "Advanced boundary value processing tool that identifies and handles minimum/maximum values in numerical data. Perfect for data validation, range checking, statistical analysis, and data preprocessing.\n\nFeatures:\n- Multiple boundary detection methods (absolute, percentile, standard deviation)\n- Flexible handling strategies (clip, remove, replace, transform)\n- Custom range validation\n- Asymmetric boundary handling\n- Batch processing capabilities\n- Comprehensive boundary statistics\n- Data quality assessment\n- Visual boundary reports\n\nCommon Use Cases:\n- Data validation and quality control\n- Sensor data range checking\n- Financial data limit enforcement\n- Statistical data preprocessing\n- Machine learning feature engineering\n- Database constraint validation",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=data-boundary-processor",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "data-boundary-processor",
"arguments": {
"inputData": "name,age,salary,score,temperature\nAlice,25,50000,85.2,36.5\nBob,32,75000,92.7,38.1\nCharlie,28,60000,78.9,37.2",
"targetColumns": "age, salary, score\n\nLeave empty to auto-detect numeric columns",
"minMethod": "absolute",
"maxMethod": "absolute",
"minValue": 0,
"maxValue": 0,
"lowerPercentile": 5,
"upperPercentile": 95,
"lowerStdDev": 3,
"upperStdDev": 3,
"handlingStrategy": "clip",
"replacementMethod": "boundary",
"asymmetricMode": false,
"preserveOriginal": false,
"markBoundaryValues": true,
"includeStatistics": true,
"strictMode": false
}
}
}Questions or issues? Contact [email protected]