Healthparse Healthcare Data Gateway
Pay-per-call US healthcare data: hospital financials, prices, quality, exclusions, wages.
사용해야 할까요
품질 및 안전성
발견 사항 (27)
- LOWhcris_hospital_byCcn에서
- LOWirs990_org_byEin에서
- LOWcarecompare_hospitals_byCcn에서
- LOWcarecompare_snf_byCcn에서
- LOWcarecompare_home-health_search에서
- LOWcarecompare_home-health_byCcn에서
- LOWcarecompare_hospice_byCcn에서
- LOWcarecompare_dialysis_byCcn에서
- LOWmanufacturers_openPayments에서
- LOWhrsa_healthCenters_search에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"gateway": {
"url": "https://api.healthparse.io/mcp"
}
}
}원격 엔드포인트
https://api.healthparse.io/mcpstreamable-http할 수 있는 일
도구 목록
도구 (42)
🟢hcris_hospital_search(state, city, name_search, hospital_type, control_type, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"city": {
"type": "string"
},
"name_search": {
"type": "string"
},
"hospital_type": {
"type": "string"
},
"control_type": {
"type": "string"
},
"fy_end_year": {
"type": "integer"
},
"zip_prefix": {
"type": "string"
},
"total_beds_min": {
"type": "number"
},
"total_beds_max": {
"type": "number"
},
"total_discharges_min": {
"type": "number"
},
"total_discharges_max": {
"type": "number"
},
"total_revenues_min": {
"type": "number"
},
"total_revenues_max": {
"type": "number"
},
"operating_margin_min": {
"type": "number"
},
"operating_margin_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪hcris_hospital_byCcn(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟢hcris_asc_search(state, ccn, name_search, limit, offset)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"ccn": {
"type": "string"
},
"name_search": {
"type": "string"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢hcris_provider_search(npi, state, specialty, total_services_min, total_services_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"npi": {
"type": "string"
},
"state": {
"type": "string"
},
"specialty": {
"type": "string"
},
"total_services_min": {
"type": "number"
},
"total_services_max": {
"type": "number"
},
"total_beneficiaries_min": {
"type": "number"
},
"total_beneficiaries_max": {
"type": "number"
},
"total_payment_min": {
"type": "number"
},
"total_payment_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢irs990_org_search(state, ntee_code, name_search, revenue_min, revenue_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"ntee_code": {
"type": "string"
},
"name_search": {
"type": "string"
},
"revenue_min": {
"type": "number"
},
"revenue_max": {
"type": "number"
},
"net_income_min": {
"type": "number"
},
"net_income_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪irs990_org_byEin(ein)
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]
입력 스키마
{
"type": "object",
"properties": {
"ein": {
"type": "string",
"description": "Path parameter: IRS Employer Identification Number (EIN)"
}
},
"required": [
"ein"
]
}🟢irs990_officers_search(ein, name_search, total_compensation_min, total_compensation_max, limit, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"ein": {
"type": "string"
},
"name_search": {
"type": "string"
},
"total_compensation_min": {
"type": "number"
},
"total_compensation_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢sanctions_leie_search(last_name_search, business_name_search, npi, state, exclusion_type, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"last_name_search": {
"type": "string"
},
"business_name_search": {
"type": "string"
},
"npi": {
"type": "string"
},
"state": {
"type": "string"
},
"exclusion_type": {
"type": "string"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢oews_wage_search(occupation_code, area_type, state, area_code, year, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"occupation_code": {
"type": "string"
},
"area_type": {
"type": "string"
},
"state": {
"type": "string"
},
"area_code": {
"type": "string"
},
"year": {
"type": "integer"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢carecompare_hospitals_search(state, city, zip_prefix, overall_rating_min, overall_rating_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"city": {
"type": "string"
},
"zip_prefix": {
"type": "string"
},
"overall_rating_min": {
"type": "number"
},
"overall_rating_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪carecompare_hospitals_byCcn(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟢carecompare_snf_search(state, city, zip_prefix, overall_rating_min, overall_rating_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"city": {
"type": "string"
},
"zip_prefix": {
"type": "string"
},
"overall_rating_min": {
"type": "number"
},
"overall_rating_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪carecompare_snf_byCcn(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟢carecompare_home-health_search(state, city, zip_prefix, rating_min, rating_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"city": {
"type": "string"
},
"zip_prefix": {
"type": "string"
},
"rating_min": {
"type": "number"
},
"rating_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪carecompare_home-health_byCcn(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟢carecompare_hospice_search(state, city, zip_prefix, rating_min, rating_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"city": {
"type": "string"
},
"zip_prefix": {
"type": "string"
},
"rating_min": {
"type": "number"
},
"rating_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪carecompare_hospice_byCcn(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟢carecompare_dialysis_search(state, city, zip_prefix, rating_min, rating_max, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string"
},
"city": {
"type": "string"
},
"zip_prefix": {
"type": "string"
},
"rating_min": {
"type": "number"
},
"rating_max": {
"type": "number"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪carecompare_dialysis_byCcn(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟢hpt_rates_search(billing_code, billing_code_type, state, payer, ccn, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"billing_code": {
"type": "string"
},
"billing_code_type": {
"type": "string"
},
"state": {
"type": "string"
},
"payer": {
"type": "string"
},
"ccn": {
"type": "string"
},
"rate_type": {
"type": "string"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢sanctions_screen(name, npi)
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_applicable. For hiring, credentialing, and vendor-onboarding agents. [price: $0.15/call]
입력 스키마
{
"type": "object",
"properties": {
"name": {
"type": "string"
},
"npi": {
"type": "string"
}
}
}🟢hpt_code_stats(code)
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-level stats_by_type array to tell them apart. [price: $0.005/call]
입력 스키마
{
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Path parameter: billing code (CPT/HCPCS/MS-DRG)"
}
},
"required": [
"code"
]
}⚪hcris_hospital_financials(ccn)
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]
입력 스키마
{
"type": "object",
"properties": {
"ccn": {
"type": "string",
"description": "Path parameter: CMS Certification Number"
}
},
"required": [
"ccn"
]
}🟡providers_events_feed(type, state, since, npi, ccn, ...)
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 next_cursor (keyset). 85k+ events, refreshed twice-weekly to quarterly by source. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"type": {
"type": "string",
"description": "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, capex_jump"
},
"state": {
"type": "string",
"description": "2-letter state code(s), comma-separated"
},
"since": {
"type": "string",
"format": "date",
"description": "only events on/after this date (YYYY-MM-DD)"
},
"npi": {
"type": "string"
},
"ccn": {
"type": "string"
},
"cursor": {
"type": "string",
"description": "opaque next_cursor from the previous page"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 50
}
}
}⚪hospitals_capex_signals(state, min_amount, since, cursor, limit)
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 state, min_amount (movable-equipment dollars), since; keyset cursor pagination. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string",
"description": "2-letter state code(s), comma-separated"
},
"min_amount": {
"type": "number",
"description": "minimum movable-equipment purchase dollars in the trigger year"
},
"since": {
"type": "string",
"format": "date",
"description": "only events on/after this date (YYYY-MM-DD)"
},
"cursor": {
"type": "string",
"description": "opaque next_cursor from the previous page"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 50
}
}
}🟡providers_provider360(npi)
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 quality scores. Absent legs say so explicitly. Records as filed; not a consumer report. [price: $0.25/call]
입력 스키마
{
"type": "object",
"properties": {
"npi": {
"type": "string",
"description": "Path parameter: 10-digit National Provider Identifier (NPI)"
}
},
"required": [
"npi"
]
}🟢manufacturers_search(name, max_total_spend, min_total_spend, first_seen_year_min, first_seen_year_max, ...)
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: name, max_total_spend, first_seen_year_min/max, specialty, state. [price: $0.03/call]
입력 스키마
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "case-insensitive substring of the manufacturer name"
},
"max_total_spend": {
"type": "number",
"description": "only manufacturers whose all-time reported spend is ≤ this (small/emerging)"
},
"min_total_spend": {
"type": "number"
},
"first_seen_year_min": {
"type": "integer",
"description": "manufacturers first appearing in/after this program year"
},
"first_seen_year_max": {
"type": "integer"
},
"specialty": {
"type": "string",
"description": "Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease', 'Hematology & Oncology'"
},
"state": {
"type": "string",
"description": "2-letter recipient state code(s), comma-separated"
},
"performance_year": {
"type": "integer"
},
"sort": {
"type": "string",
"description": "total_spend|first_seen_year|physician_engagements|distinct_specialties|display_name, optionally :asc/:desc"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}⚪manufacturers_openPayments(specialty, state, performance_year, max_total_spend, min_total_spend, ...)
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, min_physicians; sort by matched_amount or manufacturer_total_spend (asc = smallest first). [price: $0.03/call]
입력 스키마
{
"type": "object",
"properties": {
"specialty": {
"type": "string",
"description": "Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease'"
},
"state": {
"type": "string",
"description": "2-letter recipient state code(s), comma-separated"
},
"performance_year": {
"type": "integer",
"description": "program year; defaults to the latest loaded"
},
"max_total_spend": {
"type": "number",
"description": "only manufacturers whose all-time reported spend is ≤ this (small/emerging)"
},
"min_total_spend": {
"type": "number"
},
"min_physicians": {
"type": "number",
"description": "minimum matched physician×specialty×state relationships"
},
"sort": {
"type": "string",
"description": "matched_amount|manufacturer_total_spend|first_seen_year|matched_physician_cells, optionally :asc/:desc"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢hrsa_healthCenters_search(state, health_center_type, status, name, county, ...)
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, health_center_type, status, name, county, added_since, resolved_only. [price: $0.03/call]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string",
"description": "2-letter state code(s), comma-separated"
},
"health_center_type": {
"type": "string",
"description": "substring, e.g. 'FQHC' or 'Look-Alike'"
},
"status": {
"type": "string",
"description": "site status, e.g. 'Active'"
},
"name": {
"type": "string",
"description": "case-insensitive substring of the site name"
},
"county": {
"type": "string",
"description": "county name substring"
},
"added_since": {
"type": "string",
"description": "sites added to scope on/after this date (YYYY-MM-DD) — new-site trigger"
},
"resolved_only": {
"type": "boolean",
"description": "only sites resolved into the NPPES graph (matched_npi present)"
},
"sort": {
"type": "string",
"description": "site_added_to_scope|site_name|site_state, optionally :asc/:desc"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢hrsa_hpsa_search(state, discipline, min_score, min_fte, rural_status, ...)
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, min_fte, rural_status, designated_since, status; sort by hpsa_score or hpsa_fte. [price: $0.03/call]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string",
"description": "2-letter state code(s), comma-separated"
},
"discipline": {
"type": "string",
"description": "'Primary Care' | 'Dental Health' | 'Mental Health' (substring)"
},
"min_score": {
"type": "number",
"description": "minimum HPSA score (0-26; higher = greater shortage)"
},
"min_fte": {
"type": "number",
"description": "minimum practitioner FTE shortage"
},
"rural_status": {
"type": "string",
"description": "e.g. 'Rural' | 'Non-Rural'"
},
"designated_since": {
"type": "string",
"description": "designated on/after this date (YYYY-MM-DD)"
},
"status": {
"type": "string",
"description": "override the default 'Designated' filter"
},
"sort": {
"type": "string",
"description": "hpsa_score|hpsa_fte|designation_date|designation_population, optionally :asc/:desc"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢hrsa_coveredEntities340b_search(state, entity_type, name, has_npi, parents_only, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"state": {
"type": "string",
"description": "2-letter state code(s), comma-separated"
},
"entity_type": {
"type": "string",
"description": "HRSA entity type code(s), comma-separated, e.g. 'FQHC,DSH,CAH'"
},
"name": {
"type": "string",
"description": "case-insensitive substring of the entity name"
},
"has_npi": {
"type": "boolean",
"description": "only entities with a published NPI"
},
"parents_only": {
"type": "boolean",
"description": "only parent covered entities (exclude child sites)"
},
"sort": {
"type": "string",
"description": "name|active_since|state, optionally :asc/:desc"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢nppes_enumeration_search(enumerated_since, enumerated_before, taxonomy, state, license_state, ...)
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, state, license_state, entity_type, active_only; sort by enumeration_date. [price: $0.03/call]
입력 스키마
{
"type": "object",
"properties": {
"enumerated_since": {
"type": "string",
"description": "NPIs enumerated on/after this date (YYYY-MM-DD)"
},
"enumerated_before": {
"type": "string",
"description": "NPIs enumerated on/before this date (YYYY-MM-DD)"
},
"taxonomy": {
"type": "string",
"description": "primary Healthcare Provider Taxonomy code(s), comma-separated, e.g. '207Q00000X'"
},
"state": {
"type": "string",
"description": "practice state (from NPPES directory), 2-letter code(s)"
},
"license_state": {
"type": "string",
"description": "primary license state code(s)"
},
"entity_type": {
"type": "string",
"description": "'I' individual | 'O' organization"
},
"active_only": {
"type": "boolean",
"description": "exclude deactivated NPIs"
},
"sort": {
"type": "string",
"description": "enumeration_date|last_update_date, optionally :asc/:desc"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢prescribers_partDByDrug_search(drug_class, drug, brand_name, generic_name, specialty, ...)
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. Public CMS provider-level data; not a consumer report. [price: $0.03/call]
입력 스키마
{
"type": "object",
"properties": {
"drug_class": {
"type": "string",
"description": "therapeutic class from partd_drug_class, e.g. 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"
},
"drug": {
"type": "string",
"description": "a single drug, brand or generic (e.g. 'Ozempic' or 'Semaglutide'); brands resolve to the canonical generic"
},
"brand_name": {
"type": "string",
"description": "CMS brand-name prefix (case-insensitive), e.g. 'Eliquis'"
},
"generic_name": {
"type": "string",
"description": "CMS generic-name prefix (case-insensitive), e.g. 'Apixaban'"
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring, e.g. 'Endocrinology'"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"min_claims": {
"type": "integer",
"description": "minimum total Part D claims for the drug (that year)"
},
"min_beneficiaries": {
"type": "integer",
"description": "minimum total beneficiaries (null/suppressed rows excluded)"
},
"year": {
"type": "integer",
"description": "performance year (loaded: 2023, 2024; default 2024)"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢prescribers_partDClassYoyDelta_search(drug_class, direction, min_claims_2024, max_prior_claims, min_prior_claims, ...)
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. Public CMS provider-level data; not a consumer report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"drug_class": {
"type": "string",
"description": "therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"
},
"direction": {
"type": "string",
"enum": [
"new_entrant",
"de_adopter"
],
"description": "new_entrant (new-to-class, default) or de_adopter (churned out)"
},
"min_claims_2024": {
"type": "integer",
"description": "new_entrant: minimum PY2024 class claims (default 20)"
},
"max_prior_claims": {
"type": "integer",
"description": "new_entrant: maximum PY2023 class claims to still count as 'new' (default 0)"
},
"min_prior_claims": {
"type": "integer",
"description": "de_adopter: minimum PY2023 class claims (the base they dropped from; default 20)"
},
"min_pct_drop": {
"type": "number",
"description": "de_adopter: minimum % drop PY2023→PY2024 (default 50)"
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring, e.g. 'Endocrinology'"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
},
"required": [
"drug_class"
]
}🟢prescribers_partDClassWhitespace_search(drug_class, min_claims, nature_of_payment, engaged, specialty, ...)
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 recipients. Public CMS data; not a consumer report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"drug_class": {
"type": "string",
"description": "therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"
},
"min_claims": {
"type": "integer",
"description": "minimum PY2024 class claims to count as high-volume (default 50)"
},
"nature_of_payment": {
"type": "string",
"description": "optional: whitespace within a payment category, e.g. 'Consulting'; omit for no payments at all"
},
"engaged": {
"type": "string",
"description": "true → INVERT: high-volume class prescribers who ARE receiving Open Payments (reachable KOLs), with op_total_amount. Default false = whitespace (unpaid)."
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring, e.g. 'Endocrinology'"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
},
"required": [
"drug_class"
]
}🟡prescribers_partDAtypicalSpecialty_search(drug_class, min_claims, typical_specialties, specialty, state, ...)
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 report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"drug_class": {
"type": "string",
"description": "therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"
},
"min_claims": {
"type": "integer",
"description": "minimum PY2024 class claims (default 20)"
},
"typical_specialties": {
"type": "string",
"description": "override the built-in typical set (comma-separated substrings); atypical = the complement"
},
"specialty": {
"type": "string",
"description": "further restrict the atypical set to a specialty substring"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
},
"required": [
"drug_class"
]
}🟢prescribers_partDBrandShareShift_search(drug_class, molecule, direction, min_claims, min_share_shift, ...)
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 claims that year. Public CMS data; not a consumer report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"drug_class": {
"type": "string",
"description": "therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"
},
"molecule": {
"type": "string",
"description": "a generic within the class, e.g. 'Tirzepatide' or 'Empagliflozin'"
},
"direction": {
"type": "string",
"enum": [
"toward",
"away"
],
"description": "share moved toward the molecule (default) or away from it"
},
"min_claims": {
"type": "integer",
"description": "minimum PY2024 class claims (default 50)"
},
"min_share_shift": {
"type": "number",
"description": "minimum absolute share change in percentage points (default 10)"
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
},
"required": [
"drug_class",
"molecule"
]
}🟢prescribers_lookup_search(name, npi, state, specialty, limit, ...)
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. Public CMS + NPPES provider-level data; not a consumer report. [price: $0.05/call]
입력 스키마
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "prescriber name, free-text; 'Smith' (last-name prefix) or 'John Smith' (first + last prefixes)"
},
"npi": {
"type": "string",
"description": "exact 10-digit NPI (alternative to name)"
},
"state": {
"type": "string",
"description": "2-letter state code(s), comma-separated — narrows the name match"
},
"specialty": {
"type": "string",
"description": "NPPES specialty substring, e.g. 'Endocrinology'"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢prescribers_partD_search(performance_year, state, specialty, drug_category, min_claims, ...)
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-level data; not a consumer report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"performance_year": {
"type": "integer",
"description": "Part D program year (default 2024, the latest loaded)"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring, e.g. 'Endocrinology'"
},
"drug_category": {
"type": "string",
"enum": [
"brand",
"opioid",
"opioid_long_acting",
"antibiotic"
],
"description": "select the matching CMS *_total_claims column (drives min_claims + sort); omit for total_claims"
},
"min_claims": {
"type": "integer",
"description": "minimum claims on the selected column (default 50)"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟢openPayments_recipients_search(performance_year, state, specialty, nature_of_payment, min_amount, ...)
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 a consumer report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"performance_year": {
"type": "integer",
"description": "Open Payments program year (default 2024, the latest loaded)"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring, e.g. 'Cardiology'"
},
"nature_of_payment": {
"type": "string",
"description": "payment category substring, e.g. 'Consulting'"
},
"min_amount": {
"type": "number",
"description": "minimum reported total payment amount (USD)"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟡openPayments_recipients_yoyIncrease_search(year, prior_year, state, specialty, min_increase_usd, ...)
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 clearing both thresholds are returned. Public CMS provider-level data; not a consumer report. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"year": {
"type": "integer",
"description": "current program year (default 2024, the latest loaded)"
},
"prior_year": {
"type": "integer",
"description": "comparison program year (default year-1)"
},
"state": {
"type": "string",
"description": "2-letter prescriber state code(s), comma-separated"
},
"specialty": {
"type": "string",
"description": "prescriber specialty substring, e.g. 'Cardiology'"
},
"min_increase_usd": {
"type": "number",
"description": "minimum dollar increase (default 1000)"
},
"min_pct_change": {
"type": "number",
"description": "minimum percent increase (default 10)"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}🟡manufacturers_openPayments_yoyIncrease_search(year, prior_year, state, specialty, min_increase_usd, ...)
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, returns total_matched=0 (never fabricated) until a prior year is imported; see stage1b-report.md. [price: $0.1/call]
입력 스키마
{
"type": "object",
"properties": {
"year": {
"type": "integer",
"description": "current program year (default 2024, the latest loaded)"
},
"prior_year": {
"type": "integer",
"description": "comparison program year (default year-1)"
},
"state": {
"type": "string",
"description": "2-letter recipient state code(s), comma-separated"
},
"specialty": {
"type": "string",
"description": "recipient specialty substring, e.g. 'Cardiology'"
},
"min_increase_usd": {
"type": "number",
"description": "minimum dollar increase (default 10000)"
},
"min_pct_change": {
"type": "number",
"description": "minimum percent increase (default 10)"
},
"limit": {
"type": "integer",
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"default": 0
}
}
}권장 프롬프트
hcris_hospital_searchhcris_hospital_search커뮤니티
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