Time Door API
Overview
Time Door is an API that applies statistical and machine learning models to your time series data to detect trends, seasonality, and anomalies. You submit your numeric data and receive back insights without needing to write any data science code yourself. It is useful for analyzing metrics like sales, website traffic, or sensor readings over time.
Beginner Tip
Provide at least 30 data points evenly spaced in time for meaningful analysis — fewer points produce unreliable trend estimates. Make sure your timestamps follow ISO 8601 format (e.g., 2024-01-01T00:00:00Z).
Available Data
Example Response
{
"status": "success",
"data": {
"result": "Data from Time Door",
"description": "A time series analysis API",
"timestamp": "2025-01-15T10:00:00Z"
}
} Field Reference
trend Smoothed trend values corresponding to each input timestamp. seasonality Seasonal component extracted from the time series data. anomalies Timestamps and values identified as statistical anomalies. summary High-level statistics such as mean, variance, and trend direction. Implementation Example
const url = "https://timedoor.io/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
Common Errors & Troubleshooting
Matrix Score Breakdown
Partially tested on Apr 5, 2026
Technical Specifications
Related Tags
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