PASAR API

🇸🇬 Wet Bulb Temperature - Hourly

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National Environment AgencyEnvironment & climatetier: openauth: no authpricing: freecovers 1982~2025

Hourly wet bulb temperature readings (in degree Celsius) at the Changi Climate Station. Keyless JSON via data.gov.sg datastore. SG-first.

View docs ↗ More Environment & climate APIs All Singapore APIs

Call it

curl --fail-with-body --location --max-time 30 'https://data.gov.sg/api/action/datastore_search?resource_id=d_f222c70a7c00c5a5a9d4ec432d67f6e8&limit=10'

AI prompt

I'm building an app using a public Singapore API (no private credentials needed).

API: Wet Bulb Temperature - Hourly
Provider: National Environment Agency
Endpoint: GET https://data.gov.sg/api/action/datastore_search?resource_id=d_f222c70a7c00c5a5a9d4ec432d67f6e8&limit=10
Response format: JSON

Source: National Environment Agency via data.gov.sg (https://data.gov.sg/datasets/d_f222c70a7c00c5a5a9d4ec432d67f6e8/view)
Source type: Official open-data catalogue
Endpoint type: Open-data catalogue JSON
Integration difficulty: Copy-paste ready
Production caveat: Still handle empty rows, schema changes, pagination, stale coverage, and temporary upstream failures.

Help me fetch and display this data. Follow the documented format and handle errors, empty responses, stale coverage, caching and rate limits.

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