Finds the mode (most frequently occurring value) in a dataset through TinyFn's statistics API at `/v1/stats/mode`. Essential for analyzing categorical data, survey responses, and identifying dominant patterns in datasets. Available via MCP in Cursor and other AI editors, plus REST API for direct integration.
curl "https://tinyfn.io/v1/stats/mode" \
-H "X-API-Key: YOUR_API_KEY"
const response = await fetch('https://tinyfn.io/v1/stats/mode', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);
import requests
response = requests.get('https://tinyfn.io/v1/stats/mode',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)
Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's statistics tools:
{
"mcpServers": {
"tinyfn-stats": {
"url": "https://tinyfn.io/mcp/stats",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}
Send a GET request to `/v1/stats/mode` with your dataset as a parameter. The API returns the most frequently occurring value(s) in your data.
TinyFn returns all values that tie for the highest frequency, making it multimodal. This correctly handles datasets where multiple values appear equally often.
Yes, the mode tool is available through MCP in Cursor, Claude Code, Windsurf, and other supported editors for statistical analysis within your development workflow.
Yes, TinyFn's mode calculation handles any data type since it counts frequencies rather than performing mathematical operations on the values themselves.
Mode identifies the most common value regardless of data type, while mean and median require numeric data and measure central tendency differently.
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