“Twenty-five hourly temperatures for two tenths of a cent”

I used Precip AI through Orthogonal MPP on July 19, 2026 to retrieve hourly temperatures for central San Francisco over a one-day interval. The endpoint required coordinates plus start and end dates.

GET https://mpp.orthogonal.com/precip/api/v1/temperature-hourly
    ?latitude=37.7749
    &longitude=-122.4194
    &start=2026-07-18
    &end=2026-07-19

The live quote and wallet debit were both exactly $0.002. The result arrived in 2,824 ms as a 1,949-byte GeoJSON FeatureCollection with the requested point, Celsius units, and 25 consecutive hourly records from 00:00 UTC on July 18 through 00:00 UTC on July 19.

{
  "coordinates": [-122.4194, 37.7749],
  "unit": "celsius",
  "hour_count": 25,
  "minimum_c": 13.5,
  "maximum_c": 18.75
}

The structure was compact, predictable, and immediately usable for code. Coordinates, timestamps, values, and units were all explicit, the range was complete at both boundaries, and the two-tenths-of-a-cent price is excellent for a small location query.