The sample queries take a polygon, date range, and provider id and return the average temperature, and the raw data points, respectively. The query endpoints are public so no access token is required to run:
# sample analytics query:# query one month's 3 hourly data for a polygon and provider, return average temperature.export HOST=https://<host>.com/apicurl-s \-w'\n' \-G \-H"Content-Type: application/json" \-d'polygon={"type":"Polygon","coordinates":[[[-3.7025,40.4165],[3,60],[6,90],[-3.7025,40.4165]]]}' \-d'startdate=2019-01-01' \-d'enddate=2019-01-02' \-d'providerId=tSuqRPkLVfDqQG3mgr0x4' \ $HOST/596090/00833a# raw data on which above query is based:curl-s \-w'\n' \-G \-H"Content-Type: application/json" \-d'polygon={"type":"Polygon","coordinates":[[[-3.7025,40.4165],[3,60],[6,90],[-3.7025,40.4165]]]}' \-d'startdate=2019-01-01' \-d'enddate=2019-01-02' \-d'providerId=tSuqRPkLVfDqQG3mgr0x4' \ $HOST/596090/7afb79
The data query is more appropriate for the Ocean marketplace than the previous average temperature query, which is more an example of a composable intermediate endpoint for an inference toolchain.
Data from the second query was listed on the Ocean Görli test network:
