Global Economy & Trade

Lean timeseries for one country + one series

Changed on

Returns the full time-series for a single series in a single country with no pagination. Source: /Series/{seriesCode}/GeoArea/{geoAreaCode}/DataSlice. This is the leanest call for the common 'give me poverty rate in Brazil' question. Use /geo-areas to translate country names to M49 codes, or use the ISO3->M49 helper in helpers/un_sdg_client.py.

get/api/v1/un-sdg/country/{m49}/series/{code}

Request

  • Base URL: https://sugra.ai
  • URL: https://sugra.ai/api/v1/un-sdg/country/{m49}/series/{code}
  • Auth: API key in header x-api-key

Path parameters

m49string required

UN M49 numeric geography code as string (e.g. '840' for USA, '76' for Brazil).

codestring required

Series code (e.g. SI_POV_DAY1).

Response

Observation rows for the series/country combination.

Example response

{
  "meta": {
    "endpoint": "/api/v1/fred/us/cpi",
    "data_time": "2026-04-16T14:30:00Z",
    "response_time": "2026-04-16T14:30:12Z",
    "provider": "Sugra API v1.0.1",
    "data_age_days": 8.532,
    "source": "sugra_crypto",
    "attribution": "Short interest and Reg SHO daily short volume data is owned by and sourced from FINRA (Financial Industry Regulatory Authority).",
    "fallback_chain": [
      "sugra_crypto",
      "sugra_finance"
    ],
    "stale_since": "2026-09-08T12:00:00Z",
    "period": "2026-Q1",
    "notes": "the UKMTO report behind these counts is dated 2026-08-21 and is 11 days old"
  }
}

Changes