Text Processing

Enhanced Text Statistics Dashboard

A unified text analytics dashboard: word/char/sentence counts, type–token ratio (lexical diversity), lexical density, syllable estimate, and separate reading (238 wpm) and speaking (150 wpm) time estimates — plus top content vs function words.

html· HTML resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

curl -X POST 'https://api.elysiatools.com/en/api/tools/enhanced-text-statistics-dashboard' \
  -H 'Content-Type: application/json' \
  -d '{"text":"The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs. How vexingly quick daft zebras jump! The five boxing wizards jump quickly. Sphinx of black quartz, judge my vow."}'

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/enhanced-text-statistics-dashboard

Parameters

Name	Type	Required	Description
text	textarea	Yes	—

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-enhanced-text-statistics-dashboard": {
      "name": "enhanced-text-statistics-dashboard",
      "description": "A unified text analytics dashboard: word/char/sentence counts, type–token ratio (lexical diversity), lexical density, syllable estimate, and separate reading (238 wpm) and speaking (150 wpm) time estimates — plus top content vs function words.",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=enhanced-text-statistics-dashboard",
      "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": "enhanced-text-statistics-dashboard",
    "arguments": {
  "text": "The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs. How vexingly quick daft zebras jump! The five boxing wizards jump quickly. Sphinx of black quartz, judge my vow."
}
  }
}

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).

Browse tools Open tool

curl -X POST 'https://api.elysiatools.com/en/api/tools/enhanced-text-statistics-dashboard' \ -H 'Content-Type: application/json' \ -d '{"text":"The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs. How vexingly quick daft zebras jump! The five boxing wizards jump quickly. Sphinx of black quartz, judge my vow."}'

Name

Type

Required

Description

text

textarea

Yes

—

{ "mcpServers": { "elysiatools-enhanced-text-statistics-dashboard": { "name": "enhanced-text-statistics-dashboard", "description": "A unified text analytics dashboard: word/char/sentence counts, type–token ratio (lexical diversity), lexical density, syllable estimate, and separate reading (238 wpm) and speaking (150 wpm) time estimates — plus top content vs function words.", "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=enhanced-text-statistics-dashboard", "command": "", "args": [], "env": {}, "isActive": true, "type": "sse" } } }

{ "jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": { "name": "enhanced-text-statistics-dashboard", "arguments": { "text": "The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs. How vexingly quick daft zebras jump! The five boxing wizards jump quickly. Sphinx of black quartz, judge my vow." } } }