{datasetId}: Get Dataset Metadata

API: cms.gov:cms-provider-data-api
Endpoint: /metastore/schemas/dataset/items/{datasetId}
Response format: application/json
Auth: none
Method: GET
Last Status: 200
Latency: 375ms

Description

Returns detailed metadata for a specific dataset identified by its unique ID. Unlike the bulk list endpoint, this returns a single dataset's complete metadata record including title, description, contact information, update schedule, keywords, themes, and download URLs. Call this when you know the dataset ID (from browsing the catalog) and want to understand what data it contains, when it was last updated, and where to download the full dataset as CSV.

From spec: Returns detailed metadata for a specific dataset by its identifier.

Usage Tips

- Returns 404 if the dataset ID doesn't exist - The `distribution` array contains direct download URLs - usually CSV files - Check `modified` and `nextUpdateDate` to understand data freshness - `describedBy` links to PDF data dictionaries that explain field meanings

Parameters (1)

datasetId (string, path, required)

Unique identifier for the dataset

Examples (1)

Get Dataset Metadata openapi-spec

Get detailed metadata for the dialysis facility dataset

curl 'https://data.cms.gov/provider-data/api/1/metastore/schemas/dataset/items/23ew-n7w9'
import requests

resp = requests.get("https://data.cms.gov/provider-data/api/1/metastore/schemas/dataset/items/23ew-n7w9")
data = resp.json()
import zingu_apis

api = zingu_apis.api("cms-provider-data")
result = api.fetch("metastore/schemas/dataset/items/{datasetId}")

for item in result:
    print(item)
const resp = await fetch("https://data.cms.gov/provider-data/api/1/metastore/schemas/dataset/items/23ew-n7w9");
const data = await resp.json();

Probe History

Latency

Status Codes

TimeStatusLatencySize
2026-04-16 00:33:00.490572 200 375ms
2026-04-15 02:23:55.486277 200 344ms
2026-04-14 01:19:47.578697 200 275ms
2026-04-12 14:47:20.377159 200 312ms
2026-04-10 00:16:35.756621 200 737ms
2026-04-09 00:29:58.212385 200 797ms
2026-04-08 07:13:05.242480 200 375ms
2026-04-07 01:52:25.051003 200 344ms
2026-04-05 20:05:01.771975 200 233ms
2026-04-05 00:37:14.727122 200 414ms
2026-04-04 03:19:49.947379 200 262ms
2026-04-03 13:27:59.806103 200 484ms
2026-03-30 02:00:22.764506 200 453ms
2026-03-29 13:16:55.614048 200 254ms
2026-03-23 09:13:19.746675 200 184ms