datasets: List datasets

API: imf.org:imf-data-api
Endpoint: /v1/datasets
Response format: application/json
Auth: none
Method: GET
Last Status: 403
Latency: 145ms

Description

Returns a catalog of available economic indicators from IMF datasets including GDP, inflation, trade, and fiscal metrics. Use this endpoint to discover which indicators are available before fetching actual data.

From spec: Get list of available datasets

Usage Tips

- No authentication required - Returns indicators from multiple IMF datasets (WEO, BOP, etc.) - Each indicator includes label, description, source, and unit information - Use the indicator code (e.g., NGDP_RPCH) when fetching data

Examples (3)

List all available economic indicators probe-gate

Demonstrates how to retrieve the catalog of all available economic indicators with their metadata including descriptions, units, and source datasets.

curl 'https://www.imf.org/external/datamapper/api/v1/indicators'
import requests

resp = requests.get("https://www.imf.org/external/datamapper/api/v1/indicators")
data = resp.json()
import zingu_apis

api = zingu_apis.api("imf")
result = api.fetch("v1/datasets")

for item in result:
    print(item)
const resp = await fetch("https://www.imf.org/external/datamapper/api/v1/indicators");
const data = await resp.json();
List all countries and territories probe-gate

Demonstrates how to retrieve the list of all countries and territories with their ISO codes that can be used in data queries.

curl 'https://www.imf.org/external/datamapper/api/v1/countries'
import requests

resp = requests.get("https://www.imf.org/external/datamapper/api/v1/countries")
data = resp.json()
import zingu_apis

api = zingu_apis.api("imf")
result = api.fetch("v1/datasets")

for item in result:
    print(item)
const resp = await fetch("https://www.imf.org/external/datamapper/api/v1/countries");
const data = await resp.json();
List all country groups and regions probe-gate

Demonstrates how to retrieve analytical groups (e.g., Advanced economies, G-7, Euro area) and geographical regions that can be queried like individual countries.

curl 'https://www.imf.org/external/datamapper/api/v1/groups'
import requests

resp = requests.get("https://www.imf.org/external/datamapper/api/v1/groups")
data = resp.json()
import zingu_apis

api = zingu_apis.api("imf")
result = api.fetch("v1/datasets")

for item in result:
    print(item)
const resp = await fetch("https://www.imf.org/external/datamapper/api/v1/groups");
const data = await resp.json();

Probe History

Latency

Status Codes

TimeStatusLatencySize
2026-04-16 04:15:54.667122 403 145ms
2026-04-16 02:00:42.542125 403 175ms
2026-04-16 00:19:26.458063 403 172ms
2026-04-15 01:50:41.030729 403 187ms
2026-04-15 00:39:53.902889 403 232ms
2026-04-15 00:04:49.842618 403 141ms
2026-04-14 02:02:13.001423 403 156ms
2026-04-14 01:24:55.632487 403 154ms
2026-04-14 01:22:31.264639 403 145ms
2026-04-12 16:20:57.273547 403 140ms
2026-04-12 14:42:34.368365 403 131ms
2026-04-12 13:46:11.969354 403 142ms
2026-04-10 04:10:24.420886 403 112ms
2026-04-10 04:06:21.262591 403 175ms
2026-04-10 01:55:12.706555 403 239ms
2026-04-09 03:30:03.338160 403 295ms
2026-04-09 03:17:24.978340 403 132ms
2026-04-09 03:00:49.439866 403 338ms
2026-04-08 07:37:44.541580 403 148ms
2026-04-08 02:19:45.999124 403 181ms
2026-04-08 00:55:02.430433 403 164ms
2026-04-07 01:50:39.044059 403 176ms
2026-04-07 01:34:18.338566 403 153ms
2026-04-07 00:12:05.492301 403 159ms
2026-04-06 06:31:54.030858 403 185ms
2026-04-05 23:10:46.124044 403 270ms
2026-04-05 19:39:31.928740 403 179ms
2026-04-05 14:17:39.553947 403 370ms