Data Analysis
计算时间序列数据的季节性指数，识别季节性模式
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/seasonal-index-calculator' \
-H 'Content-Type: application/json' \
-d '{"data":"输入时间序列数据（逗号或空格分隔）...","periods":12,"method":"ratio-to-moving-average","dataFormat":"comma","smoothing":0,"forecastPeriods":0,"deseasonalize":true}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/seasonal-index-calculator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| data | textarea | 是 | — |
| periods | number | 否 | — |
| method | select | 否 | — |
| dataFormat | select | 否 | — |
| smoothing | number | 否 | — |
| forecastPeriods | number |
将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-seasonal-index-calculator": {
"name": "seasonal-index-calculator",
"description": "计算时间序列数据的季节性指数，识别季节性模式",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=seasonal-index-calculator",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "seasonal-index-calculator",
"arguments": {
"data": "输入时间序列数据（逗号或空格分隔）...",
"periods": 12,
"method": "ratio-to-moving-average",
"dataFormat": "comma",
"smoothing": 0,
"forecastPeriods": 0,
"deseasonalize": true
}
}
}有问题或反馈？请联系 [email protected]
| — |
| deseasonalize | checkbox | 否 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}