Inference API: Production Deployment
Inference API: Production Deployment
The Simulacrum Inference API serves LAFN and 53+ open-source forecasting models through a single production endpoint. Four lines of code to integrate. Send a time series, receive probabilistic forecasts in seconds.
The Simulacrum Inference API serves LAFN and 53+ open-source forecasting models through a single production endpoint. Four lines of code to integrate. Send a time series, receive probabilistic forecasts in seconds.
4 lines of code | 53+ models available
4 lines of code | 53+ models available
How it works
How it works
Basic
Pro
Custom
Off
Subscription
Basic
Pro
Custom
Off
Subscription
Basic
Pro
Custom
Off
Subscription
01. Generate API Key
01. Generate API Key
Sign up on Simulacrum to get your unique API key. This key lets you securely connect to our forecasting API and start making forecasting requests.
Sign up on Simulacrum to get your unique API key. This key lets you securely connect to our forecasting API and start making forecasting requests.
Sign up on Simulacrum to get your unique API key. This key lets you securely connect to our forecasting API and start making forecasting requests.
02. Load your Data
02. Load your Data
02. Load your Data
Import your time-series data from a CSV file or URL. Our API automatically organizes and prepares your dataset, so it’s ready to generate accurate forecasts right away.
Import your time-series data from a CSV file or URL. Our API automatically organizes and prepares your dataset, so it’s ready to generate accurate forecasts right away.
Run your forecast with a single command. The API instantly generates accurate predictions without any complex setup.
03. Forecast
The Complete Workflow
Zero Setup Time:
No model training. No infrastructure. No DevOps. Because LAFN is zero-shot, there's no configuration step between sending your data and receiving forecasts.
Model Agnostic:
Not locked into LAFN. The same API serves 53+ open-source models. Test them in Symnasium, deploy whichever wins on your data.
Zero Setup Time:
No model training. No infrastructure. No DevOps. Because LAFN is zero-shot, there's no configuration step between sending your data and receiving forecasts.
Model Agnostic:
Not locked into LAFN. The same API serves 53+ open-source models. Test them in Symnasium, deploy whichever wins on your data.