Medicare Part D Prescriber Adoption Feed (GovParse) is a paid API for AI agents from api.govparse.io, paid per call via x402, $25/call, status unknown (last checked 2026-09-15).
Returns bulk paginated rows of Medicare Part D prescribers who newly entered or de-adopted a drug class (e.g. GLP-1, SGLT2) between PY2023 and PY2024, filterable by drug class, specialty, and state.
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.
Flat paginated rows (up to 1000 per page) of prescribers with NPI, specialty, state, drug class, PY2023 and PY2024 claim volumes, and a direction label (new_entrant or de_adopter). Includes a next_cursor field for fetching subsequent pages. Data is derived from public CMS Medicare Part D records and is observational only.
GEThttps://api.govparse.io/v1/feeds/pharma-prescribingChoose this endpoint when you need a bulk, filterable feed of Medicare Part D prescribers segmented by drug class adoption behavior (new entrants or de-adopters) across PY2023→PY2024. It is purpose-built for pharmaceutical sales targeting, market research, and competitive intelligence use cases that require NPI-level granularity, specialty filtering, and state-level segmentation — rather than a single prescriber lookup.
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