Unplugg
APIForecasting API for time series data
Overview
Unplugg API provides RESTful endpoints for time series forecasting. It accepts JSON inputs with historical timestamped data and optional parameters (forecast horizon, model preference). Returns JSON responses with predicted values, confidence intervals, and performance metrics (MAE, RMSE). Use cases include sales demand forecasting, inventory planning, energy consumption prediction, and supply chain optimization. Supports auto-model selection (ARIMA, Prophet, LSTM) or user-specified models. Requires API key authentication, with docs covering request schemas and example calls—ideal for teams integrating forecasting without extensive ML infrastructure.
Example Integration (JavaScript)
fetch('https://unplu.gg/test_api.html')
.then(res => res.json())
.then(data => console.log(data))
.catch(err => console.error(err)); Key Features
- RESTful Endpoints
- JSON Input/Output
- Auto-Model Selection
- Confidence Intervals
- Performance Metrics
Frequently Asked Questions
? Is Unplugg free to use?
Yes, Unplugg offers a freemium model with a free tier for testing and limited requests; paid tiers are available for higher volume and advanced features.
? Does it require an API Key?
Yes, Unplugg requires an API key for authentication, which can be obtained via their platform sign-up process.
? What is the response format?
Unplugg returns responses in JSON format, including predicted values, confidence intervals, and performance metrics like MAE and RMSE.
Top Alternatives
People Also Ask about Unplugg
Tool Info
Pros
- ⊕ Easy Integration
- ⊕ No Deep ML Expertise Needed
- ⊕ Rich Forecast Insights
Cons
- ⊖ Rate Limited in Free Tier
- ⊖ Paid Tiers for High Volume
- ⊖ Limited Advanced Tuning