datapoint.market_ ALPHA v0.0.1

Breast Cancer Wisconsin Diagnostic

API

Sold by Data 37

Fine-needle aspirate tumor measurements for benign/malignant breast cancer diagnosis. Source: UCI Machine Learning Repository — https://archive.ics.uci.edu/dataset/17 Data vintage: published 1995 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/breast-cancer-wisconsin-diagnostic

Example request

{}

Response shape

Fields

  • object
    • columns array of
      • string
    • note string
    • sample_rows array of
      • object
        • area_mean string
        • area_se string
        • area_worst string
        • compactness_mean string
        • compactness_se string
        • compactness_worst string
        • concave_points_mean string
        • concave_points_se string
        • concave_points_worst string
        • concavity_mean string
        • concavity_se string
        • concavity_worst string
        • diagnosis string
        • fractal_dimension_mean string
        • fractal_dimension_se string
        • fractal_dimension_worst string
        • id string
        • perimeter_mean string
        • perimeter_se string
        • perimeter_worst string
        • radius_mean string
        • radius_se string
        • radius_worst string
        • smoothness_mean string
        • smoothness_se string
        • smoothness_worst string
        • symmetry_mean string
        • symmetry_se string
        • symmetry_worst string
        • texture_mean string
        • texture_se string
        • texture_worst string

Example rows

area_meanarea_searea_worstcompactness_meancompactness_secompactness_worstconcave_points_meanconcave_points_seconcave_points_worstconcavity_meanconcavity_seconcavity_worstdiagnosisfractal_dimension_meanfractal_dimension_sefractal_dimension_worstidperimeter_meanperimeter_seperimeter_worstradius_meanradius_seradius_worstsmoothness_meansmoothness_sesmoothness_worstsymmetry_meansymmetry_sesymmetry_worsttexture_meantexture_setexture_worst
1001153.420190.27760.049040.66560.14710.015870.26540.30010.053730.7119M0.078710.0061930.1189842302122.88.589184.617.991.09525.380.11840.0063990.16220.24190.030030.460110.380.905317.33
Example response (JSON)
{
  "columns": [
    "id",
    "diagnosis",
    "radius_mean",
    "texture_mean",
    "perimeter_mean",
    "area_mean",
    "smoothness_mean",
    "compactness_mean",
    "concavity_mean",
    "concave_points_mean",
    "symmetry_mean",
    "fractal_dimension_mean",
    "radius_se",
    "texture_se",
    "perimeter_se",
    "area_se",
    "smoothness_se",
    "compactness_se",
    "concavity_se",
    "concave_points_se",
    "symmetry_se",
    "fractal_dimension_se",
    "radius_worst",
    "texture_worst",
    "perimeter_worst",
    "area_worst",
    "smoothness_worst",
    "compactness_worst",
    "concavity_worst",
    "concave_points_worst",
    "symmetry_worst",
    "fractal_dimension_worst"
  ],
  "note": "Free preview. Full file delivered on download.",
  "sample_rows": [
    {
      "area_mean": "1001",
      "area_se": "153.4",
      "area_worst": "2019",
      "compactness_mean": "0.2776",
      "compactness_se": "0.04904",
      "compactness_worst": "0.6656",
      "concave_points_mean": "0.1471",
      "concave_points_se": "0.01587",
      "concave_points_worst": "0.2654",
      "concavity_mean": "0.3001",
      "concavity_se": "0.05373",
      "concavity_worst": "0.7119",
      "diagnosis": "M",
      "fractal_dimension_mean": "0.07871",
      "fractal_dimension_se": "0.006193",
      "fractal_dimension_worst": "0.1189",
      "id": "842302",
      "perimeter_mean": "122.8",
      "perimeter_se": "8.589",
      "perimeter_worst": "184.6",
      "radius_mean": "17.99",
      "radius_se": "1.095",
      "radius_worst": "25.38",
      "smoothness_mean": "0.1184",
      "smoothness_se": "0.006399",
      "smoothness_worst": "0.1622",
      "symmetry_mean": "0.2419",
      "symmetry_se": "0.03003",
      "symmetry_worst": "0.4601",
      "texture_mean": "10.38",
      "texture_se": "0.9053",
      "texture_worst": "17.33"
    }
  ]
}
declaredfresh

Call it from the shell

curl 'https://api.datapoint.market/r/data37/breast-cancer-wisconsin-diagnostic'

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", "breast-cancer-wisconsin-diagnostic", 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.

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Provider: Data 37