Forest Fires
APISold by Data 37
Forest fire area in northeast Portugal with meteorological and spatial features. Source: UCI Machine Learning Repository — https://archive.ics.uci.edu/dataset/162 Data vintage: published 2008 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/forest-fires
Example request
{}
Response shape
Fields
- object
columnsarray of- string
notestringsample_rowsarray of- object
DCstringDMCstringFFMCstringISIstringRHstringXstringYstringareastringdaystringmonthstringrainstringtempstringwindstring
- object
Example rows
| DC | DMC | FFMC | ISI | RH | X | Y | area | day | month | rain | temp | wind |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 94.3 | 26.2 | 86.2 | 5.1 | 51 | 7 | 5 | 0 | fri | mar | 0 | 8.2 | 6.7 |
Example response (JSON)
{
"columns": [
"X",
"Y",
"month",
"day",
"FFMC",
"DMC",
"DC",
"ISI",
"temp",
"RH",
"wind",
"rain",
"area"
],
"note": "Free preview. Full file delivered on download.",
"sample_rows": [
{
"DC": "94.3",
"DMC": "26.2",
"FFMC": "86.2",
"ISI": "5.1",
"RH": "51",
"X": "7",
"Y": "5",
"area": "0",
"day": "fri",
"month": "mar",
"rain": "0",
"temp": "8.2",
"wind": "6.7"
}
]
}Call it from the shell
curl 'https://api.datapoint.market/r/data37/forest-fires'
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", "forest-fires", 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