datapoint.market_ ALPHA v0.0.1

Energy Efficiency

API

Sold by Data 37

Building-shape simulations for heating and cooling load prediction. Source: UCI Machine Learning Repository — https://archive.ics.uci.edu/dataset/242 Data vintage: published 2012 Cleaned and reformatted from the original; see source page for full documentation and citation.

★ Free⤓ dataset · csv
Price per download Free no payment
Method GET
Networks
Format csv download
License UCI ML Repository. Most datasets are licensed CC BY 4.0 — cite the dataset page.

The URL

Send a GET request — parameters go in the query string — no payment, no API key. The relay returns the origin's JSON response directly.

https://api.datapoint.market/r/data37/energy-efficiency

Example request

{}

Response shape

Fields

  • object
    • columns array of
      • string
    • note string
    • sample_rows array of
      • object
        • cooling_load string
        • glazing_area string
        • glazing_area_distribution string
        • heating_load string
        • orientation string
        • overall_height string
        • relative_compactness string
        • roof_area string
        • surface_area string
        • wall_area string

Example rows

cooling_loadglazing_areaglazing_area_distributionheating_loadorientationoverall_heightrelative_compactnessroof_areasurface_areawall_area
21.330015.55270.98110.25514.5294
Example response (JSON)
{
  "columns": [
    "relative_compactness",
    "surface_area",
    "wall_area",
    "roof_area",
    "overall_height",
    "orientation",
    "glazing_area",
    "glazing_area_distribution",
    "heating_load",
    "cooling_load"
  ],
  "note": "Free preview. Full file delivered on download.",
  "sample_rows": [
    {
      "cooling_load": "21.33",
      "glazing_area": "0",
      "glazing_area_distribution": "0",
      "heating_load": "15.55",
      "orientation": "2",
      "overall_height": "7",
      "relative_compactness": "0.98",
      "roof_area": "110.25",
      "surface_area": "514.5",
      "wall_area": "294"
    }
  ]
}
declaredfresh

Call it from the shell

curl 'https://api.datapoint.market/r/data37/energy-efficiency'

Call it from an agent

Connected in Claude (or any agent on the connector)? Buy it in one call — no API key, no signup. Call it once with no payment to take a free trial (real data) or get a price quote before you pay.

call_endpoint("data37", "energy-efficiency", params={})
Free to call

This endpoint is free — no account, no API key, no payment. Just call the URL and the relay returns the origin's response.

Buyer guide →

Provider: Data 37