datapoint.market_ ALPHA v0.0.1

USPersonalExpenditure

API

Sold by Data 37

US personal expenditure by category across selected years. Source: Rdatasets (Vincent Arel-Bundock) — https://vincentarelbundock.github.io/Rdatasets/doc/datasets/USPersonalExpenditure.html Data vintage: 1940–1960 (published 1962) 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 Rdatasets compilation; each dataset originates from an R package under its own license.

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/uspersonalexpenditure

Example request

{}

Response shape

Fields

  • object
    • columns array of
      • string
    • note string
    • sample_rows array of
      • object
        • 1940 string
        • 1945 string
        • 1950 string
        • 1955 string
        • 1960 string
        • rownames string

Example rows

19401945195019551960rownames
22.244.559.673.286.8Food and Tobacco
Example response (JSON)
{
  "columns": [
    "rownames",
    "1940",
    "1945",
    "1950",
    "1955",
    "1960"
  ],
  "note": "Free preview. Full file delivered on download.",
  "sample_rows": [
    {
      "1940": "22.2",
      "1945": "44.5",
      "1950": "59.6",
      "1955": "73.2",
      "1960": "86.8",
      "rownames": "Food and Tobacco"
    }
  ]
}
declaredfresh

Call it from the shell

curl 'https://api.datapoint.market/r/data37/uspersonalexpenditure'

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", "uspersonalexpenditure", 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