$25
per call · USD Coin on Base
Which prescribers just entered a drug class this Medicare Part D year — e.g. new GLP-1 prescribers in PY2024? Bulk feed over CMS Part D Prescribers by Provider and Drug, aggregated per NPI to a drug class and differenced PY2023 → PY2024: direction=new_entrant returns new-to-class prescribers, de_adopter those whose class volume fell. Flat rows, cursor-paginated up to 1000/page, by drug_class, specialty, and state. Observational public Part D records — never a clinical recommendation.
Endpoint
GET https://api.govparse.io/v1/feeds/pharma-prescribing1
Calls / 30d
1
Unique payers / 30d
Aug 22
Last called
exact
Payment scheme
Call this service
import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";
const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);
const res = await fetchWithPay("https://api.govparse.io/v1/feeds/pharma-prescribing", {
method: "GET",
});
const data = await res.json();curl -X GET \
"https://api.govparse.io/v1/feeds/pharma-prescribing?direction=new_entrant&drug_class=GLP-1&state=TX" \
-H "X-PAYMENT: <signed x402 payment>"Example response
{
"basis": "CMS Medicare Part D Prescribers by Provider and Drug, aggregated per NPI to a therapeutic drug class and differenced PY2023 → PY2024, surfaced via the Healthparse Part D API. Observational counts of records present in the public Part D file — never a clinical recommendation.",
"feed": "pharma-prescribing",
"page": {
"has_more": true,
"limit": 500,
"next_cursor": "eyJvIjo1MDB9",
"returned": 500,
"total_matched": 2513
},
"query": {
"direction": "new_entrant",
"drug_class": "GLP-1",
"specialty": "all",
"state": "TX"
},
"rows": [
{
"as_published_date": "PY2024",
"class_claims_2023": 0,
"class_claims_2024": 1787,
"class_claims_delta": 1787,
"direction": "new_entrant",
"drug_class": "GLP-1",
"event_key": "partd:1487654321:GLP-1",
"npi": "1487654321",
"pct_change": null,
"performance_year_pair": "2023-2024",
"prescriber_city": "HOUSTON",
"prescriber_specialty": "Endocrinology",
"prescriber_state": "TX"
}
]
}Payment details
0x3873d15cf3209c32aaa8d9aa542164e658567129USD Coin · 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913Is this your API?
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