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Healthparse Healthcare Data Gateway is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Pay-per-call US healthcare data: hospital financials, prices, quality, exclusions, wages.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http healthparse-healthcare-data-gateway-mcp https://api.healthparse.io/mcp
# 2 — ask your agent for something these tools do
# hcris_hospital_search, hcris_hospital_byCcn, hcris_asc_search and 39 more
Healthparse Healthcare Data Gateway costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http healthparse-healthcare-data-gateway-mcp https://api.healthparse.io/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
42 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Search US hospitals by state, city, type, control, beds, discharges, revenues, or operating margin. Answers: which hospitals in a market match a financial or operational profile? Source: CMS cost reports (HCRIS 2552-10). [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| city | string | no | — |
| name_search | string | no | — |
| hospital_type | string | no | — |
| control_type | string | no | — |
| fy_end_year | integer | no | — |
| zip_prefix | string | no | — |
| total_beds_min | number | no | — |
| total_beds_max | number | no | — |
| total_discharges_min | number | no | — |
| total_discharges_max | number | no | — |
| total_revenues_min | number | no | — |
| total_revenues_max | number | no | — |
| operating_margin_min | number | no | — |
| operating_margin_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Hospital cost-report record by CMS Certification Number (CCN). Answers: what are the financial and operational metrics for this hospital across fiscal years? Includes identity, beds, discharges, revenues, net income, operating margin. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Search ambulatory surgical centers (ASCs) by state, CCN, or name. Answers: which ASCs are in a given market? Source: CMS ASC cost data. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| ccn | string | no | — |
| name_search | string | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Search Medicare providers by NPI, state, specialty, service volume, beneficiaries, or payments. Answers: which providers in a market match this specialty, volume, or beneficiary profile? Source: CMS Medicare claims. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| npi | string | no | — |
| state | string | no | — |
| specialty | string | no | — |
| total_services_min | number | no | — |
| total_services_max | number | no | — |
| total_beneficiaries_min | number | no | — |
| total_beneficiaries_max | number | no | — |
| total_payment_min | number | no | — |
| total_payment_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Search nonprofit health organizations by state, NTEE code, revenue or expense range, or name. Answers: which nonprofit hospitals/health orgs match this financial profile? Source: IRS Form 990 e-filings. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| ntee_code | string | no | — |
| name_search | string | no | — |
| revenue_min | number | no | — |
| revenue_max | number | no | — |
| net_income_min | number | no | — |
| net_income_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Nonprofit health organization Form 990 filing history by EIN. Answers: what are the revenues, expenses, and trends for this nonprofit across fiscal years? Source: IRS Form 990 e-filings. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ein | string | yes | Path parameter: IRS Employer Identification Number (EIN) |
Search nonprofit hospital executive compensation: officers and key employees by organization (EIN), name, or compensation range. Answers: who are the executives at this nonprofit health org and what do they earn? Source: IRS Form 990 Schedule J. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ein | string | no | — |
| name_search | string | no | — |
| total_compensation_min | number | no | — |
| total_compensation_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Search the OIG List of Excluded Individuals/Entities (LEIE) by name, NPI, state, or exclusion type. Answers: is this provider excluded from federal healthcare programs? Monthly refresh. [price: $0.03/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| last_name_search | string | no | — |
| business_name_search | string | no | — |
| npi | string | no | — |
| state | string | no | — |
| exclusion_type | string | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Healthcare wage benchmarks by SOC occupation and area (national, state, metro): median, mean, and P25–P90 percentiles plus employment. Answers: what does this role pay in this market? Source: BLS OEWS. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| occupation_code | string | no | — |
| area_type | string | no | — |
| state | string | no | — |
| area_code | string | no | — |
| year | integer | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Search hospitals quality data by state, city, ZIP, or CMS star rating. Answers: which hospitals meet quality thresholds in a market? Source: CMS Care Compare, monthly refresh. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| city | string | no | — |
| zip_prefix | string | no | — |
| overall_rating_min | number | no | — |
| overall_rating_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
CMS Care Compare quality record by CCN for a hospitals. Answers: what are the quality ratings and performance measures for this facility? Source: CMS Care Compare. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Search snf quality data by state, city, ZIP, or CMS star rating. Answers: which snf meet quality thresholds in a market? Source: CMS Care Compare, monthly refresh. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| city | string | no | — |
| zip_prefix | string | no | — |
| overall_rating_min | number | no | — |
| overall_rating_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
CMS Care Compare quality record by CCN for a snf. Answers: what are the quality ratings and performance measures for this facility? Source: CMS Care Compare. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Search home health quality data by state, city, ZIP, or CMS star rating. Answers: which home health meet quality thresholds in a market? Source: CMS Care Compare, monthly refresh. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| city | string | no | — |
| zip_prefix | string | no | — |
| rating_min | number | no | — |
| rating_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
CMS Care Compare quality record by CCN for a home health. Answers: what are the quality ratings and performance measures for this facility? Source: CMS Care Compare. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Search hospice quality data by state, city, ZIP, or CMS star rating. Answers: which hospice meet quality thresholds in a market? Source: CMS Care Compare, monthly refresh. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| city | string | no | — |
| zip_prefix | string | no | — |
| rating_min | number | no | — |
| rating_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
CMS Care Compare quality record by CCN for a hospice. Answers: what are the quality ratings and performance measures for this facility? Source: CMS Care Compare. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Search dialysis quality data by state, city, ZIP, or CMS star rating. Answers: which dialysis meet quality thresholds in a market? Source: CMS Care Compare, monthly refresh. [price: $0.02/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | — |
| city | string | no | — |
| zip_prefix | string | no | — |
| rating_min | number | no | — |
| rating_max | number | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
CMS Care Compare quality record by CCN for a dialysis. Answers: what are the quality ratings and performance measures for this facility? Source: CMS Care Compare. [price: $0.01/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Search hospital price-transparency negotiated rates by billing code (CPT/HCPCS/MS-DRG), state, payer, hospital CCN, or rate type. Answers: what do payers actually pay for this procedure at these hospitals? Source: hospital-published MRFs. [price: $0.03/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| billing_code | string | no | — |
| billing_code_type | string | no | — |
| state | string | no | — |
| payer | string | no | — |
| ccn | string | no | — |
| rate_type | string | no | — |
| limit | integer | no | — |
| offset | integer | no | — |
Screen a provider (name and/or NPI) against all federal and state exclusion lists in one call — OIG LEIE, GSA SAM, OFAC SDN, FDA debarment, state Medicaid exclusions, and licensing-board sanctions from 13 states. Returns an attested clear/flagged verdict with per-list counts. NPI-only screens (no name) cover 4 of 6 lists — OFAC SDN and FDA debarment need a name; see lists_checked/lists_not_applica
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | no | — |
| npi | string | no | — |
National price statistics for a billing code (CPT/HCPCS/MS-DRG) from hospital price-transparency files: median and spread of payer-negotiated rates. Answers: what is a fair price for this procedure? Shape varies: a code under one billing_code_type (common case) returns the flat row shown below; a code ambiguous across types instead returns { billing_code, stats_by_type: [...] } — check for a top-l
| Parameter | Type | Required | Notes |
|---|---|---|---|
| code | string | yes | Path parameter: billing code (CPT/HCPCS/MS-DRG) |
Multi-year financial history for one hospital by CCN: beds, discharges, revenues, net income per fiscal year, up to 15 years. Source: CMS cost reports. [price: $0.05/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ccn | string | yes | Path parameter: CMS Certification Number |
Provider change-event feed over 7 federal sources: new NPI enumerations, newly billing Medicare, enrollment pending, address changes, deactivations, CLIA lab certificates, ownership changes (CHOW), mammography facility cert changes, and hospital capex jumps. Answers: what changed in my territory since I last looked? Filter by type (comma-separated), state, since (YYYY-MM-DD), npi, ccn; page via ne
| Parameter | Type | Required | Notes |
|---|---|---|---|
| type | string | no | comma-separated event types: enrollment_pending, newly_billing, new_enumeration, address_change, deactivation, new_lab_certificate, lab_cert_upgrade, ownership_change, new_mammo_facility, mammo_decert |
| state | string | no | 2-letter state code(s), comma-separated |
| since | string | no | only events on/after this date (YYYY-MM-DD) |
| npi | string | no | — |
| ccn | string | no | — |
| cursor | string | no | opaque next_cursor from the previous page |
| limit | integer | no | — |
Hospital capital-expenditure jump signals from CMS cost reports (Worksheet A-7): hospitals whose major movable equipment purchases hit at least $1M and at least 2x the prior fiscal year — an observational marker that a hospital reported a step-up in equipment spend. Answers: which hospitals just bought equipment? Includes purchase dollars by asset class and the prior-year comparison. Filter by sta
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | 2-letter state code(s), comma-separated |
| min_amount | number | no | minimum movable-equipment purchase dollars in the trigger year |
| since | string | no | only events on/after this date (YYYY-MM-DD) |
| cursor | string | no | opaque next_cursor from the previous page |
| limit | integer | no | — |
One-call dossier of everything Healthparse knows about a provider NPI: NPPES identity, taxonomy and practice address; Medicare ordering-and-referring privileges; NPI exclusion screen (OIG LEIE, GSA SAM, state Medicaid, state boards); change-event history; Medicare Part B utilization and Part D prescribing summaries; Open Payments totals by year; hospital affiliations with star ratings; MIPS qualit
| Parameter | Type | Required | Notes |
|---|---|---|---|
| npi | string | yes | Path parameter: 10-digit National Provider Identifier (NPI) |
Discover pharma & device MANUFACTURERS from CMS Open Payments by name, total-spend band, or year of first appearance — the emerging/small-brand filter (low total_spend and/or recent first_seen_year) plus optional specialty/state activity. Answers: which small or new manufacturers pay physicians in my category and territory? Entity-resolved company dimension (DBA/subsidiary variants merged). Filter
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | no | case-insensitive substring of the manufacturer name |
| max_total_spend | number | no | only manufacturers whose all-time reported spend is ≤ this (small/emerging) |
| min_total_spend | number | no | — |
| first_seen_year_min | integer | no | manufacturers first appearing in/after this program year |
| first_seen_year_max | integer | no | — |
| specialty | string | no | Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease', 'Hematology & Oncology' |
| state | string | no | 2-letter recipient state code(s), comma-separated |
| performance_year | integer | no | — |
| sort | string | no | total_spend|first_seen_year|physician_engagements|distinct_specialties|display_name, optionally :asc/:desc |
| limit | integer | no | — |
| offset | integer | no | — |
Which manufacturers pay a given physician specialty in a territory, and how much — CMS Open Payments rolled up to the paying company. Answers: which pharma/device companies already reach cardiologists in Texas, and which are the small/emerging ones (max_total_spend) to partner with or compete against? Filter: specialty, state, performance_year (defaults to latest), max_total_spend/min_total_spend,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| specialty | string | no | Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease' |
| state | string | no | 2-letter recipient state code(s), comma-separated |
| performance_year | integer | no | program year; defaults to the latest loaded |
| max_total_spend | number | no | only manufacturers whose all-time reported spend is ≤ this (small/emerging) |
| min_total_spend | number | no | — |
| min_physicians | number | no | minimum matched physician×specialty×state relationships |
| sort | string | no | matched_amount|manufacturer_total_spend|first_seen_year|matched_physician_cells, optionally :asc/:desc |
| limit | integer | no | — |
| offset | integer | no | — |
Discover FQHC / Look-Alike health-center SITES from the HRSA roster by state, type, county, name, or newly-added-to-scope date (added_since = new-site trigger). Answers: which FQHC sites exist in my territory, and which are new? Each site is entity-resolved into NPPES (matched_npi / match_method). Powers pharma-sales 340B, medical-device, and medical/travel-nurse staffing targeting. Filter: state,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | 2-letter state code(s), comma-separated |
| health_center_type | string | no | substring, e.g. 'FQHC' or 'Look-Alike' |
| status | string | no | site status, e.g. 'Active' |
| name | string | no | case-insensitive substring of the site name |
| county | string | no | county name substring |
| added_since | string | no | sites added to scope on/after this date (YYYY-MM-DD) — new-site trigger |
| resolved_only | boolean | no | only sites resolved into the NPPES graph (matched_npi present) |
| sort | string | no | site_added_to_scope|site_name|site_state, optionally :asc/:desc |
| limit | integer | no | — |
| offset | integer | no | — |
Find HRSA Health Professional Shortage Areas (Primary Care / Dental / Mental Health) by state, discipline, minimum shortage score, or FTE shortage — a mapped staffing-demand signal. Answers: where is the designated shortage most severe, and how many practitioner FTEs are needed? Powers medical & travel-nurse staffing. Defaults to currently-designated areas. Filter: state, discipline, min_score, mi
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | 2-letter state code(s), comma-separated |
| discipline | string | no | 'Primary Care' | 'Dental Health' | 'Mental Health' (substring) |
| min_score | number | no | minimum HPSA score (0-26; higher = greater shortage) |
| min_fte | number | no | minimum practitioner FTE shortage |
| rural_status | string | no | e.g. 'Rural' | 'Non-Rural' |
| designated_since | string | no | designated on/after this date (YYYY-MM-DD) |
| status | string | no | override the default 'Designated' filter |
| sort | string | no | hpsa_score|hpsa_fte|designation_date|designation_population, optionally :asc/:desc |
| limit | integer | no | — |
| offset | integer | no | — |
Search HRSA 340B OPAIS covered entities + child sites by state, entity type (FQHC/DSH/CAH/RHC/…), or name — the 340B buyer/pharmacy roster. Answers: which 340B-eligible entities operate in my territory, and which have an NPI to join into the provider graph? Powers pharma-sales (340B pharmacies) targeting. Filter: state, entity_type, name, has_npi, parents_only. [price: $0.03/call]
| Parameter | Type | Required | Notes |
|---|---|---|---|
| state | string | no | 2-letter state code(s), comma-separated |
| entity_type | string | no | HRSA entity type code(s), comma-separated, e.g. 'FQHC,DSH,CAH' |
| name | string | no | case-insensitive substring of the entity name |
| has_npi | boolean | no | only entities with a published NPI |
| parents_only | boolean | no | only parent covered entities (exclude child sites) |
| sort | string | no | name|active_since|state, optionally :asc/:desc |
| limit | integer | no | — |
| offset | integer | no | — |
Newly-enumerated NPIs with their EXACT Provider Enumeration Date and taxonomy detail, from the CMS NPPES full monthly file joined to the NPPES directory. Answers: which providers/organizations of a given taxonomy were newly issued an NPI in my state since a date? Precise new-provider dating (enumerated_since) that sharpens the existing NPPES event feed. Filter: enumerated_since/before, taxonomy, s
| Parameter | Type | Required | Notes |
|---|---|---|---|
| enumerated_since | string | no | NPIs enumerated on/after this date (YYYY-MM-DD) |
| enumerated_before | string | no | NPIs enumerated on/before this date (YYYY-MM-DD) |
| taxonomy | string | no | primary Healthcare Provider Taxonomy code(s), comma-separated, e.g. '207Q00000X' |
| state | string | no | practice state (from NPPES directory), 2-letter code(s) |
| license_state | string | no | primary license state code(s) |
| entity_type | string | no | 'I' individual | 'O' organization |
| active_only | boolean | no | exclude deactivated NPIs |
| sort | string | no | enumeration_date|last_update_date, optionally :asc/:desc |
| limit | integer | no | — |
| offset | integer | no | — |
Find Medicare Part D prescribers of a specific DRUG or therapeutic CLASS at NPI level — the core pharma targeting query. Filter by drug_class (GLP-1, SGLT2, DPP-4, Statin, from partd_drug_class) or a single drug (brand or generic, e.g. 'Ozempic'), plus specialty, state, min_claims, min_beneficiaries, year. Each hit carries the drug's claim/cost volume and the prescriber's specialty/state/city. Pub
| Parameter | Type | Required | Notes |
|---|---|---|---|
| drug_class | string | no | therapeutic class from partd_drug_class, e.g. 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin' |
| drug | string | no | a single drug, brand or generic (e.g. 'Ozempic' or 'Semaglutide'); brands resolve to the canonical generic |
| brand_name | string | no | CMS brand-name prefix (case-insensitive), e.g. 'Eliquis' |
| generic_name | string | no | CMS generic-name prefix (case-insensitive), e.g. 'Apixaban' |
| specialty | string | no | prescriber specialty substring, e.g. 'Endocrinology' |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| min_claims | integer | no | minimum total Part D claims for the drug (that year) |
| min_beneficiaries | integer | no | minimum total beneficiaries (null/suppressed rows excluded) |
| year | integer | no | performance year (loaded: 2023, 2024; default 2024) |
| limit | integer | no | — |
| offset | integer | no | — |
Find prescribers who ENTERED or LEFT a Medicare Part D therapeutic class year-over-year (PY2023→PY2024) — the switchable moment for a pharma team. direction=new_entrant returns NPIs writing the class in 2024 who wrote ≤max_prior_claims in 2023 (new-to-class); direction=de_adopter returns NPIs whose class volume fell ≥min_pct_drop%. Filter by drug_class (GLP-1|SGLT2|DPP-4|Statin), state, specialty.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| drug_class | string | yes | therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin' |
| direction | string | no | new_entrant (new-to-class, default) or de_adopter (churned out) |
| min_claims_2024 | integer | no | new_entrant: minimum PY2024 class claims (default 20) |
| max_prior_claims | integer | no | new_entrant: maximum PY2023 class claims to still count as 'new' (default 0) |
| min_prior_claims | integer | no | de_adopter: minimum PY2023 class claims (the base they dropped from; default 20) |
| min_pct_drop | number | no | de_adopter: minimum % drop PY2023→PY2024 (default 50) |
| specialty | string | no | prescriber specialty substring, e.g. 'Endocrinology' |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| limit | integer | no | — |
| offset | integer | no | — |
Find high-volume Medicare Part D prescribers of a therapeutic class who have NO reported CMS Open Payments — the greenfield 'reachable before a competitor' audience for a smaller or newer brand. Filter by drug_class (GLP-1|SGLT2|DPP-4|Statin), min_claims, state, specialty, and optionally nature_of_payment (whitespace within that payment category). Anti-join of by-drug prescribers to Open Payments
| Parameter | Type | Required | Notes |
|---|---|---|---|
| drug_class | string | yes | therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin' |
| min_claims | integer | no | minimum PY2024 class claims to count as high-volume (default 50) |
| nature_of_payment | string | no | optional: whitespace within a payment category, e.g. 'Consulting'; omit for no payments at all |
| engaged | string | no | true → INVERT: high-volume class prescribers who ARE receiving Open Payments (reachable KOLs), with op_total_amount. Default false = whitespace (unpaid). |
| specialty | string | no | prescriber specialty substring, e.g. 'Endocrinology' |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| limit | integer | no | — |
| offset | integer | no | — |
Find Medicare Part D prescribers of a therapeutic class whose specialty is OUTSIDE the class's typical set — off-specialty early adopters (e.g. a GLP-1 written by a cardiologist or nephrologist rather than an endocrinologist/PCP). Filter by drug_class (GLP-1|SGLT2|DPP-4|Statin), min_claims, state; override the typical set with typical_specialties. Public CMS provider-level data; not a consumer rep
| Parameter | Type | Required | Notes |
|---|---|---|---|
| drug_class | string | yes | therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin' |
| min_claims | integer | no | minimum PY2024 class claims (default 20) |
| typical_specialties | string | no | override the built-in typical set (comma-separated substrings); atypical = the complement |
| specialty | string | no | further restrict the atypical set to a specialty substring |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| limit | integer | no | — |
| offset | integer | no | — |
Find prescribers whose within-class molecule mix shifted toward or away from a molecule year-over-year (PY2023→PY2024) — e.g. GLP-1 prescribers moving share toward Tirzepatide. Params: drug_class (GLP-1|SGLT2|DPP-4|Statin), molecule (a generic in the class), direction (toward|away), min_claims (class volume), min_share_shift (percentage points), state, specialty. Share is molecule claims ÷ class c
| Parameter | Type | Required | Notes |
|---|---|---|---|
| drug_class | string | yes | therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin' |
| molecule | string | yes | a generic within the class, e.g. 'Tirzepatide' or 'Empagliflozin' |
| direction | string | no | share moved toward the molecule (default) or away from it |
| min_claims | integer | no | minimum PY2024 class claims (default 50) |
| min_share_shift | number | no | minimum absolute share change in percentage points (default 10) |
| specialty | string | no | prescriber specialty substring |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| limit | integer | no | — |
| offset | integer | no | — |
Look up a prescriber by NAME (or exact NPI) and get identity plus a Medicare Part D prescribing summary. Matches the NPPES directory by name prefix (first/last), optionally narrowed by state and specialty, then rolls up that NPI's latest-year Part D claims: top drug, distinct drugs, beneficiaries, and tracked class flags (GLP-1/SGLT2/DPP-4/Statin) with a new-to-class signal. Provide name or npi. P
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | no | prescriber name, free-text; 'Smith' (last-name prefix) or 'John Smith' (first + last prefixes) |
| npi | string | no | exact 10-digit NPI (alternative to name) |
| state | string | no | 2-letter state code(s), comma-separated — narrows the name match |
| specialty | string | no | NPPES specialty substring, e.g. 'Endocrinology' |
| limit | integer | no | — |
| offset | integer | no | — |
Screen Medicare Part D prescribers by specialty, state, and claim volume — the per-prescriber roster a pharma / device team targets. Optional drug_category (brand | opioid | opioid_long_acting | antibiotic) selects the matching CMS *_total_claims column for BOTH the min_claims threshold and the ranking (else total_claims). Returns one row per NPI with the CMS claim rollups. Public CMS provider-lev
| Parameter | Type | Required | Notes |
|---|---|---|---|
| performance_year | integer | no | Part D program year (default 2024, the latest loaded) |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| specialty | string | no | prescriber specialty substring, e.g. 'Endocrinology' |
| drug_category | string | no | select the matching CMS *_total_claims column (drives min_claims + sort); omit for total_claims |
| min_claims | integer | no | minimum claims on the selected column (default 50) |
| limit | integer | no | — |
| offset | integer | no | — |
Screen physicians industry is already paying — the recipient side of the CMS Open Payments (Sunshine Act) file, ranked by total reported payment amount. Filter by specialty, state, nature_of_payment, and min_amount. Prescriber name / specialty / state / city are resolved by joining the NPI to the CMS Part D Prescribers file (Open Payments carries none of them). Public CMS provider-level data; not
| Parameter | Type | Required | Notes |
|---|---|---|---|
| performance_year | integer | no | Open Payments program year (default 2024, the latest loaded) |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| specialty | string | no | prescriber specialty substring, e.g. 'Cardiology' |
| nature_of_payment | string | no | payment category substring, e.g. 'Consulting' |
| min_amount | number | no | minimum reported total payment amount (USD) |
| limit | integer | no | — |
| offset | integer | no | — |
Physicians whose TOTAL CMS Open Payments industry payments genuinely increased year-over-year — a real per-NPI delta (amount_current vs amount_prior), not a magnitude threshold. Defaults to 2023→2024 (any loaded year pair selectable via year/prior_year). Filter: specialty, state, min_increase_usd (default $1,000), min_pct_change (default 10%). Only physicians paid in BOTH years with a real rise cl
| Parameter | Type | Required | Notes |
|---|---|---|---|
| year | integer | no | current program year (default 2024, the latest loaded) |
| prior_year | integer | no | comparison program year (default year-1) |
| state | string | no | 2-letter prescriber state code(s), comma-separated |
| specialty | string | no | prescriber specialty substring, e.g. 'Cardiology' |
| min_increase_usd | number | no | minimum dollar increase (default 1000) |
| min_pct_change | number | no | minimum percent increase (default 10) |
| limit | integer | no | — |
| offset | integer | no | — |
Manufacturers/GPOs whose TOTAL Open Payments spend genuinely increased year-over-year — a real per-manufacturer delta (amount_current vs amount_prior), not a magnitude threshold. Defaults to 2023→2024 (any loaded year pair via year/prior_year). Filter: specialty, state, min_increase_usd (default $10,000), min_pct_change (default 10%). NOTE: op_manufacturer_payments holds only PY2024 today — real,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| year | integer | no | current program year (default 2024, the latest loaded) |
| prior_year | integer | no | comparison program year (default year-1) |
| state | string | no | 2-letter recipient state code(s), comma-separated |
| specialty | string | no | recipient specialty substring, e.g. 'Cardiology' |
| min_increase_usd | number | no | minimum dollar increase (default 10000) |
| min_pct_change | number | no | minimum percent increase (default 10) |
| limit | integer | no | — |
| offset | integer | no | — |
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| Tool | Unit | Calls used | Out of the allowance |
|---|
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