Endpoint Examples
Run Kalman Filter
Processes time series data using a Kalman filter to reduce noise and provide smoothed predictions. Optionally saves results to the database with a unique identifier.
POST
Documentation Index
Fetch the complete documentation index at: https://methodscenter.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Submit one or more time series to Luna’s Kalman filter. Set
save to true
and include a unique_identifier to accumulate historical observations across
requests.Authorizations
API key for authentication
Path Parameters
The account ID associated with your API key
Body
application/json
A 2D array where each inner list contains time series values
Example:
[[10.2, 10.5, 10.1, 9.8, 10.3]]Whether to save the results to the database
The unique identifier for the data (required when save is true)
Example:
"sensor-001-2024"
Response
Successfully processed the Kalman filter