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Data Analysis

Correlation Analyzer

Advanced correlation analysis tool that calculates correlation coefficients between variables to measure the strength and direction of their linear relationships. Perfect for statistical analysis, financial modeling, scientific research, and data exploration. Features: - Multiple correlation methods (Pearson, Spearman, Kendall) - Correlation matrix generation - Statistical significance testing (p-values) - Confidence intervals calculation - Heatmap visualization - Scatter plot matrix generation - Missing value handling strategies - Outlier detection and handling - Group analysis capabilities - Detailed statistical reports Common Use Cases: - Financial market analysis and risk assessment - Scientific research and hypothesis testing - Customer behavior and marketing analysis - Healthcare and medical data analysis - Quality control and process optimization - Educational performance evaluation

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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/correlation-analyzer' \
  -H 'Content-Type: application/json' \
  -d '{"inputData":"stock_price,market_cap,volume,pe_ratio,eps\n150.25,2500000000,5000000,25.5,12.8\n148.80,2450000000,4800000,24.8,11.2\n152.30,2580000000,5200000,26.2,13.5\n145.90,2420000000,4900000,23.9,11.8","targetColumns":"stock_price, market_cap, volume, pe_ratio\n\nLeave empty to auto-detect numeric columns","correlationMethod":"pearson","significanceLevel":"0.05","handleMissing":"remove","outlierMethod":"none","confidenceInterval":true,"groupColumn":"category, region, or department","generateHeatmap":true,"generateScatterPlots":true,"includeStatistics":true,"showPValues":true,"showConfidenceIntervals":true,"decimalPlaces":3}'

© 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/correlation-analyzer

Parameters

NameTypeRequiredDescription
inputDatatextareaYes—
targetColumnstextareaNo—
correlationMethodselectNo—
significanceLevelselectNo—
handleMissingselectNo—
outlierMethodselectNo—
confidenceIntervalcheckboxNo—
groupColumntextNoColumn to group analysis by (e.g., category, region, department)
generateHeatmapcheckboxNo—
generateScatterPlotscheckboxNo—
includeStatisticscheckboxNo—
showPValuescheckboxNo—
showConfidenceIntervalscheckboxNo—
decimalPlacesnumberNoNumber of decimal places for correlation coefficients

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-correlation-analyzer": {
      "name": "correlation-analyzer",
      "description": "Advanced correlation analysis tool that calculates correlation coefficients between variables to measure the strength and direction of their linear relationships. Perfect for statistical analysis, financial modeling, scientific research, and data exploration.\n\nFeatures:\n- Multiple correlation methods (Pearson, Spearman, Kendall)\n- Correlation matrix generation\n- Statistical significance testing (p-values)\n- Confidence intervals calculation\n- Heatmap visualization\n- Scatter plot matrix generation\n- Missing value handling strategies\n- Outlier detection and handling\n- Group analysis capabilities\n- Detailed statistical reports\n\nCommon Use Cases:\n- Financial market analysis and risk assessment\n- Scientific research and hypothesis testing\n- Customer behavior and marketing analysis\n- Healthcare and medical data analysis\n- Quality control and process optimization\n- Educational performance evaluation",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=correlation-analyzer",
      "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": "correlation-analyzer",
    "arguments": {
  "inputData": "stock_price,market_cap,volume,pe_ratio,eps\n150.25,2500000000,5000000,25.5,12.8\n148.80,2450000000,4800000,24.8,11.2\n152.30,2580000000,5200000,26.2,13.5\n145.90,2420000000,4900000,23.9,11.8",
  "targetColumns": "stock_price, market_cap, volume, pe_ratio\n\nLeave empty to auto-detect numeric columns",
  "correlationMethod": "pearson",
  "significanceLevel": "0.05",
  "handleMissing": "remove",
  "outlierMethod": "none",
  "confidenceInterval": true,
  "groupColumn": "category, region, or department",
  "generateHeatmap": true,
  "generateScatterPlots": true,
  "includeStatistics": true,
  "showPValues": true,
  "showConfidenceIntervals": true,
  "decimalPlaces": 3
}
  }
}
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).

Questions or issues? Contact [email protected]

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