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Data Processing

Data Boundary Processor

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

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Quick start

Call this tool from your code in three languages.

cURL
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":false,"strictMode":false}'

© 2026 Elysia Tools. Developer documentation.

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API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/data-boundary-processor

Parameters

NameTypeRequiredDescription
inputDatatextareaYes—
targetColumnstextareaNo—
minMethodselectNo—
maxMethodselectNo—
minValuenumberNoFixed minimum value (used when minMethod is absolute)
maxValuenumberNoFixed maximum value (used when maxMethod is absolute)
lowerPercentilenumberNoLower percentile for boundary detection (0-50)
upperPercentilenumberNoUpper percentile for boundary detection (50-100)
lowerStdDevnumberNoStandard deviations below mean for lower bound
upperStdDevnumberNoStandard deviations above mean for upper bound
handlingStrategyselectNo—
replacementMethodselectNo—
asymmetricModecheckboxNoApply different strategies for min/max boundaries
preserveOriginalcheckboxNo—
markBoundaryValuescheckboxNoAdd columns to flag boundary violations
includeStatisticscheckboxNo—
strictModecheckboxNoTreat boundary values as errors in strict mode

Response format

Text result

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

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "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"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "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": false,
  "strictMode": false
}
  }
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

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