Outlier Detector

Detect outliers in numerical data using various statistical methods including IQR, Z-score, and modified Z-score

text· Text result

Quick start

Call this tool from your code in three languages.

cURL

curl -X POST 'https://api.elysiatools.com/en/api/tools/outlier-detector' \
  -H 'Content-Type: application/json' \
  -d '{"dataInput":"Enter numerical data separated by delimiter...\n12.5, 15.2, 13.8, 45.6, 18.9, 16.1, 14.7, 17.3, 22.1","delimiter":"comma","customDelimiter":"Enter custom delimiter","detectionMethod":"iqr","sensitivity":1.5,"includeStatistics":true,"outputFormat":"summary"}'

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/outlier-detector

Parameters

Name	Type	Required	Description
dataInput	textarea	Yes	—
delimiter	select	Yes	—
customDelimiter	text	No	—
detectionMethod	select	Yes	—
sensitivity	number	No	—
includeStatistics

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-outlier-detector": {
      "name": "outlier-detector",
      "description": "Detect outliers in numerical data using various statistical methods including IQR, Z-score, and modified Z-score",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=outlier-detector",
      "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": "outlier-detector",
    "arguments": {
  "dataInput": "Enter numerical data separated by delimiter...\n12.5, 15.2, 13.8, 45.6, 18.9, 16.1, 14.7, 17.3, 22.1",
  "delimiter": "comma",
  "customDelimiter": "Enter custom delimiter",
  "detectionMethod": "iqr",
  "sensitivity": 1.5,
  "includeStatistics": true,
  "outputFormat": "summary"
}
  }
}

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]

Response format

Text result

JSON

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

Outlier Detector — API & MCP | Elysia Tools