Data Analysis
Perform one-way Analysis of Variance (ANOVA) to compare means across multiple groups
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/anova-analysis' \
-H 'Content-Type: application/json' \
-d '{"dataInput":"Enter your data...\n\nFor group format:\nGroup 1: 12, 15, 18, 14, 16\nGroup 2: 19, 22, 20, 18, 21\nGroup 3: 25, 28, 24, 26, 27\n\nOr for paired format:\nControl, 12, 15, 18, 14, 16\nTreatment, 19, 22, 20, 18, 21\nPlacebo, 25, 28, 24, 26, 27","dataFormat":"groups","groupLabels":"Comma-separated group names (e.g., Control, Treatment, Placebo)","significanceLevel":"0.05"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/anova-analysis| Name | Type | Required | Description |
|---|---|---|---|
| dataInput | textarea | Yes | — |
| dataFormat | select | Yes | — |
| groupLabels | text | No | Optional custom labels for groups. If not provided, default names will be used. |
| significanceLevel | select | Yes | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-anova-analysis": {
"name": "anova-analysis",
"description": "Perform one-way Analysis of Variance (ANOVA) to compare means across multiple groups",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=anova-analysis",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "anova-analysis",
"arguments": {
"dataInput": "Enter your data...\n\nFor group format:\nGroup 1: 12, 15, 18, 14, 16\nGroup 2: 19, 22, 20, 18, 21\nGroup 3: 25, 28, 24, 26, 27\n\nOr for paired format:\nControl, 12, 15, 18, 14, 16\nTreatment, 19, 22, 20, 18, 21\nPlacebo, 25, 28, 24, 26, 27",
"dataFormat": "groups",
"groupLabels": "Comma-separated group names (e.g., Control, Treatment, Placebo)",
"significanceLevel": "0.05"
}
}
}Questions or issues? Contact [email protected]