Time Door API

Machine Learning / API Key Intermediate HTTPS CORS
Varies by plan (check documentation)

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

Use case: Integrate a time series analysis api data into web and mobile applications
Time Door data via REST API
JSON-formatted response data
Requires API key authentication

Example Response

JSON 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

401 Unauthorized API key is missing or incorrectly formatted in the Authorization header.
Use the format: Authorization: Bearer YOUR_API_KEY.
Insufficient data points Fewer than the required minimum number of data points were submitted.
Provide at least 30 evenly spaced data points for reliable trend analysis.
Invalid timestamp format Timestamps are not in ISO 8601 or recognized date format.
Use ISO 8601 timestamps like 2024-01-01T00:00:00Z for all data points.

Matrix Score Breakdown

🌐 Reachability 30/30
⚡ Speed 10/20
🔒 Security 15/15
🛠 Developer XP 17/20
✓ Reliability 10/15

Partially tested on Apr 5, 2026

Technical Specifications

Auth API Key
HTTPS REQUIRED
CORS YES
Category Machine Learning
Difficulty Intermediate
Verified: 2026-04-04

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