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Data Processing

AI Data Normalizer

AI-powered data format normalization tool that intelligently cleans and standardizes messy data using advanced AI analysis

stream· Stream resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/ai-data-normalizer' \
  -H 'Content-Type: application/json' \
  -d '{"inputData":"Paste your messy data... (CSV, JSON, Excel data, etc.)\nAI will intelligently analyze and fix all data issues","inputFormat":"auto","outputFormat":"csv","normalizationType":"standard","processingLevel":"moderate"}'

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/ai-data-normalizer

Parameters

NameTypeRequiredDescription
inputDatatextareaYesEnter any data that needs normalization - CSV, JSON, XML, Excel spreadsheets, and other formats
inputFormatselectYesSelect the format of your input data
outputFormatselectYesSelect the format for your output data
normalizationTypeselectYesSelect the data normalization processing method
processingLevelselect

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-ai-data-normalizer": {
      "name": "ai-data-normalizer",
      "description": "AI-powered data format normalization tool that intelligently cleans and standardizes messy data using advanced AI analysis",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=ai-data-normalizer",
      "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": "ai-data-normalizer",
    "arguments": {
  "inputData": "Paste your messy data... (CSV, JSON, Excel data, etc.)\nAI will intelligently analyze and fix all data issues",
  "inputFormat": "auto",
  "outputFormat": "csv",
  "normalizationType": "standard",
  "processingLevel": "moderate"
}
  }
}
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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Yes
Select the conservatism level of data processing

Response format

Stream result

JSON
data: {"chunk": "data: processed content 1", "type": "stream"}

data: {"chunk": "data: processed content 2", "type": "stream"}

data: {"type": "done"}