USPersonalExpenditure
APISold 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.
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
columnsarray of- string
notestringsample_rowsarray of- object
1940string1945string1950string1955string1960stringrownamesstring
- object
Example rows
| 1940 | 1945 | 1950 | 1955 | 1960 | rownames |
|---|---|---|---|---|---|
| 22.2 | 44.5 | 59.6 | 73.2 | 86.8 | Food 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"
}
]
}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={})
This endpoint is free — no account, no API key, no payment. Just call the URL and the relay returns the origin's response.
Provider: Data 37