Data Analysis
Comprehensive standard deviation analysis with variability assessment, confidence intervals, and practical insights
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/standard-deviation-analyzer' \
-H 'Content-Type: application/json' \
-d '{"dataInput":"Enter your data values separated by commas or new lines...\n\nExamples:\n- Low variability: 50, 51, 49, 52, 48, 50, 51, 49, 50, 52\n- High variability: 20, 80, 35, 65, 45, 75, 25, 85, 15, 95\n- Moderate: 45, 52, 48, 58, 42, 55, 43, 57, 46, 54","dataFormat":"single","confidenceLevel":"0.95","includeOutliers":true,"detailedAnalysis":true}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/standard-deviation-analyzer| Name | Type | Required | Description |
|---|---|---|---|
| dataInput | textarea | Yes | — |
| dataFormat | select | Yes | — |
| confidenceLevel | select | Yes | — |
| includeOutliers | checkbox | No | Identify and analyze outliers using IQR method |
| detailedAnalysis | checkbox | No | Include comprehensive interpretation and recommendations |
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-standard-deviation-analyzer": {
"name": "standard-deviation-analyzer",
"description": "Comprehensive standard deviation analysis with variability assessment, confidence intervals, and practical insights",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=standard-deviation-analyzer",
"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": "standard-deviation-analyzer",
"arguments": {
"dataInput": "Enter your data values separated by commas or new lines...\n\nExamples:\n- Low variability: 50, 51, 49, 52, 48, 50, 51, 49, 50, 52\n- High variability: 20, 80, 35, 65, 45, 75, 25, 85, 15, 95\n- Moderate: 45, 52, 48, 58, 42, 55, 43, 57, 46, 54",
"dataFormat": "single",
"confidenceLevel": "0.95",
"includeOutliers": true,
"detailedAnalysis": true
}
}
}Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Questions or issues? Contact [email protected]