Data Analysis

Dataset Quality Profiler

Profile CSV or JSON datasets for missing values, duplicate rows, format drift, type inference, and numeric outliers

html· HTML resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/dataset-quality-profiler' \
  -F 'file=@/path/to/datasetFile.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/dataset-quality-profiler' \
  -F 'datasetInput=id,name,email,amount,created_at
1,Alice,[email protected],120,2026-03-01
2,Bob,,85,2026-03-02
2,Bob,[email protected],85,03/02/2026
3,Charlie,[email protected],9999,2026-03-03' \
  -F 'datasetFile=' \
  -F 'duplicateKeyColumns=id' \
  -F 'sampleRows=8'

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/dataset-quality-profiler

Parameters

Name	Type	Required	Description
datasetInput	textarea	No	—
datasetFile	fileupload required	No	—
duplicateKeyColumns	text	No	—
sampleRows	number	No	—

File-type parameters must be uploaded first via POST /upload/dataset-quality-profiler, then the returned filePath is passed to the corresponding file field.

Response format

HTML result

JSON

{
  "result": "<div>Processed HTML content</div>",
  "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-dataset-quality-profiler": {
      "name": "dataset-quality-profiler",
      "description": "Profile CSV or JSON datasets for missing values, duplicate rows, format drift, type inference, and numeric outliers",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=dataset-quality-profiler",
      "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": "dataset-quality-profiler",
    "arguments": {
  "datasetInput": "id,name,email,amount,created_at\n1,Alice,[email protected],120,2026-03-01\n2,Bob,,85,2026-03-02\n2,Bob,[email protected],85,03/02/2026\n3,Charlie,[email protected],9999,2026-03-03",
  "datasetFile": "",
  "duplicateKeyColumns": "id",
  "sampleRows": 8
}
  }
}

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).

File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]