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

The kind of data this API exposes, based on its documentation. We could not call the endpoint to confirm the exact field names.

Use case: Integrate a time series analysis api data into web and mobile applications
Time Door data via REST API

Example Response

Illustrative shape only — we were not able to call this endpoint (it requires credentials or exposes no public sample URL), so the fields below show the kind of data this API returns rather than a recorded response.

JSON Response · Illustrative
{
  "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

Calls a real endpoint of this API. Replace any placeholder credentials with your own key.

Request
const url = "https://api.timedoor.io/v1/trend";
// 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

Generated guidance based on this API's documentation, not observed by us. Treat it as a starting point and check against the provider's own error reference.

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.

Metadata Score Breakdown

Estimated from metadata — endpoint not independently tested

This score is estimated from observable metadata — HTTPS support, authentication model, declared CORS, and documentation reachability — because the API requires authentication or exposes no publicly testable endpoint. The five-signal breakdown is only shown for live-tested APIs.

Metadata estimate · endpoint not independently tested

Technical Specifications

Auth API Key
HTTPS REQUIRED
CORS YES
Category Machine Learning
Difficulty Intermediate
Listing details not endpoint-verified

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