MCP-Server
Healthparse Healthcare Data Gateway
io.healthparse/gateway
Was dieses MCP kann
Provides US healthcare data on facility quality, hospital finances, negotiated prices, provider coverage, wages, nonprofits, and industry payments.
Funktionen
Tools
42
Tools
carecompare_dialysis_byCcn
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
carecompare_dialysis_search
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]
Eingabeschema
{'type': 'object', 'properties': {'city': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'rating_max': {'type': 'number'}, 'rating_min': {'type': 'number'}, 'zip_prefix': {'type': 'string'}}}
carecompare_home-health_byCcn
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
carecompare_home-health_search
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]
Eingabeschema
{'type': 'object', 'properties': {'city': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'rating_max': {'type': 'number'}, 'rating_min': {'type': 'number'}, 'zip_prefix': {'type': 'string'}}}
carecompare_hospice_byCcn
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
carecompare_hospice_search
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]
Eingabeschema
{'type': 'object', 'properties': {'city': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'rating_max': {'type': 'number'}, 'rating_min': {'type': 'number'}, 'zip_prefix': {'type': 'string'}}}
carecompare_hospitals_byCcn
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
carecompare_hospitals_search
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]
Eingabeschema
{'type': 'object', 'properties': {'city': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'zip_prefix': {'type': 'string'}, 'overall_rating_max': {'type': 'number'}, 'overall_rating_min': {'type': 'number'}}}
carecompare_snf_byCcn
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
carecompare_snf_search
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]
Eingabeschema
{'type': 'object', 'properties': {'city': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'zip_prefix': {'type': 'string'}, 'overall_rating_max': {'type': 'number'}, 'overall_rating_min': {'type': 'number'}}}
hcris_asc_search
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]
Eingabeschema
{'type': 'object', 'properties': {'ccn': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'name_search': {'type': 'string'}}}
hcris_hospital_byCcn
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
hcris_hospital_financials
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]
Eingabeschema
{'type': 'object', 'required': ['ccn'], 'properties': {'ccn': {'type': 'string', 'description': 'Path parameter: CMS Certification Number'}}}
hcris_hospital_search
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]
Eingabeschema
{'type': 'object', 'properties': {'city': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'zip_prefix': {'type': 'string'}, 'fy_end_year': {'type': 'integer'}, 'name_search': {'type': 'string'}, 'control_type': {'type': 'string'}, 'hospital_type': {'type': 'string'}, 'total_beds_max': {'type': 'number'}, 'total_beds_min': {'type': 'number'}, 'total_revenues_max': {'type': 'number'}, 'total_revenues_min': {'type': 'number'}, 'operating_margin_max': {'type': 'number'}, 'operating_margin_min': {'type': 'number'}, 'total_discharges_max': {'type': 'number'}, 'total_discharges_min': {'type': 'number'}}}
hcris_provider_search
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]
Eingabeschema
{'type': 'object', 'properties': {'npi': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string'}, 'total_payment_max': {'type': 'number'}, 'total_payment_min': {'type': 'number'}, 'total_services_max': {'type': 'number'}, 'total_services_min': {'type': 'number'}, 'total_beneficiaries_max': {'type': 'number'}, 'total_beneficiaries_min': {'type': 'number'}}}
hospitals_capex_signals
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]
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 50, 'maximum': 100}, 'since': {'type': 'string', 'format': 'date', 'description': 'only events on/after this date (YYYY-MM-DD)'}, 'state': {'type': 'string', 'description': '2-letter state code(s), comma-separated'}, 'cursor': {'type': 'string', 'description': 'opaque next_cursor from the previous page'}, 'min_amount': {'type': 'number', 'description': 'minimum movable-equipment purchase dollars in the trigger year'}}}
hpt_code_stats
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]
Eingabeschema
{'type': 'object', 'required': ['code'], 'properties': {'code': {'type': 'string', 'description': 'Path parameter: billing code (CPT/HCPCS/MS-DRG)'}}}
hpt_rates_search
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]
Eingabeschema
{'type': 'object', 'properties': {'ccn': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'payer': {'type': 'string'}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'rate_type': {'type': 'string'}, 'billing_code': {'type': 'string'}, 'billing_code_type': {'type': 'string'}}}
hrsa_coveredEntities340b_search
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]
Eingabeschema
{'type': 'object', 'properties': {'name': {'type': 'string', 'description': 'case-insensitive substring of the entity name'}, 'sort': {'type': 'string', 'description': 'name|active_since|state, optionally :asc/:desc'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'has_npi': {'type': 'boolean', 'description': 'only entities with a published NPI'}, 'entity_type': {'type': 'string', 'description': "HRSA entity type code(s), comma-separated, e.g. 'FQHC,DSH,CAH'"}, 'parents_only': {'type': 'boolean', 'description': 'only parent covered entities (exclude child sites)'}}}
hrsa_healthCenters_search
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]
Eingabeschema
{'type': 'object', 'properties': {'name': {'type': 'string', 'description': 'case-insensitive substring of the site name'}, 'sort': {'type': 'string', 'description': 'site_added_to_scope|site_name|site_state, optionally :asc/:desc'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter state code(s), comma-separated'}, 'county': {'type': 'string', 'description': 'county name substring'}, 'offset': {'type': 'integer', 'default': 0}, 'status': {'type': 'string', 'description': "site status, e.g. 'Active'"}, '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)'}, 'health_center_type': {'type': 'string', 'description': "substring, e.g. 'FQHC' or 'Look-Alike'"}}}
hrsa_hpsa_search
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]
Eingabeschema
{'type': 'object', 'properties': {'sort': {'type': 'string', 'description': 'hpsa_score|hpsa_fte|designation_date|designation_population, optionally :asc/:desc'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'status': {'type': 'string', 'description': "override the default 'Designated' filter"}, 'min_fte': {'type': 'number', 'description': 'minimum practitioner FTE shortage'}, 'min_score': {'type': 'number', 'description': 'minimum HPSA score (0-26; higher = greater shortage)'}, 'discipline': {'type': 'string', 'description': "'Primary Care' | 'Dental Health' | 'Mental Health' (substring)"}, 'rural_status': {'type': 'string', 'description': "e.g. 'Rural' | 'Non-Rural'"}, 'designated_since': {'type': 'string', 'description': 'designated on/after this date (YYYY-MM-DD)'}}}
irs990_officers_search
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]
Eingabeschema
{'type': 'object', 'properties': {'ein': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'offset': {'type': 'integer', 'default': 0}, 'name_search': {'type': 'string'}, 'total_compensation_max': {'type': 'number'}, 'total_compensation_min': {'type': 'number'}}}
irs990_org_byEin
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]
Eingabeschema
{'type': 'object', 'required': ['ein'], 'properties': {'ein': {'type': 'string', 'description': 'Path parameter: IRS Employer Identification Number (EIN)'}}}
irs990_org_search
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]
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'ntee_code': {'type': 'string'}, 'name_search': {'type': 'string'}, 'revenue_max': {'type': 'number'}, 'revenue_min': {'type': 'number'}, 'net_income_max': {'type': 'number'}, 'net_income_min': {'type': 'number'}}}
manufacturers_openPayments
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]
Eingabeschema
{'type': 'object', 'properties': {'sort': {'type': 'string', 'description': 'matched_amount|manufacturer_total_spend|first_seen_year|matched_physician_cells, optionally :asc/:desc'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter recipient state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease'"}, 'min_physicians': {'type': 'number', 'description': 'minimum matched physician×specialty×state relationships'}, 'max_total_spend': {'type': 'number', 'description': 'only manufacturers whose all-time reported spend is ≤ this (small/emerging)'}, 'min_total_spend': {'type': 'number'}, 'performance_year': {'type': 'integer', 'description': 'program year; defaults to the latest loaded'}}}
manufacturers_openPayments_yoyIncrease_search
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]
Eingabeschema
{'type': 'object', 'properties': {'year': {'type': 'integer', 'description': 'current program year (default 2024, the latest loaded)'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter recipient state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "recipient specialty substring, e.g. 'Cardiology'"}, 'prior_year': {'type': 'integer', 'description': 'comparison program year (default year-1)'}, 'min_pct_change': {'type': 'number', 'description': 'minimum percent increase (default 10)'}, 'min_increase_usd': {'type': 'number', 'description': 'minimum dollar increase (default 10000)'}}}
manufacturers_search
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]
Eingabeschema
{'type': 'object', 'properties': {'name': {'type': 'string', 'description': 'case-insensitive substring of the manufacturer name'}, 'sort': {'type': 'string', 'description': 'total_spend|first_seen_year|physician_engagements|distinct_specialties|display_name, optionally :asc/:desc'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter recipient state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "Open Payments recipient specialty leaf, e.g. 'Cardiovascular Disease', 'Hematology & Oncology'"}, 'max_total_spend': {'type': 'number', 'description': 'only manufacturers whose all-time reported spend is ≤ this (small/emerging)'}, 'min_total_spend': {'type': 'number'}, 'performance_year': {'type': 'integer'}, 'first_seen_year_max': {'type': 'integer'}, 'first_seen_year_min': {'type': 'integer', 'description': 'manufacturers first appearing in/after this program year'}}}
nppes_enumeration_search
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]
Eingabeschema
{'type': 'object', 'properties': {'sort': {'type': 'string', 'description': 'enumeration_date|last_update_date, optionally :asc/:desc'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': 'practice state (from NPPES directory), 2-letter code(s)'}, 'offset': {'type': 'integer', 'default': 0}, 'taxonomy': {'type': 'string', 'description': "primary Healthcare Provider Taxonomy code(s), comma-separated, e.g. '207Q00000X'"}, 'active_only': {'type': 'boolean', 'description': 'exclude deactivated NPIs'}, 'entity_type': {'type': 'string', 'description': "'I' individual | 'O' organization"}, 'license_state': {'type': 'string', 'description': 'primary license state code(s)'}, '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)'}}}
oews_wage_search
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]
Eingabeschema
{'type': 'object', 'properties': {'year': {'type': 'integer'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'area_code': {'type': 'string'}, 'area_type': {'type': 'string'}, 'occupation_code': {'type': 'string'}}}
openPayments_recipients_search
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]
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "prescriber specialty substring, e.g. 'Cardiology'"}, 'min_amount': {'type': 'number', 'description': 'minimum reported total payment amount (USD)'}, 'performance_year': {'type': 'integer', 'description': 'Open Payments program year (default 2024, the latest loaded)'}, 'nature_of_payment': {'type': 'string', 'description': "payment category substring, e.g. 'Consulting'"}}}
openPayments_recipients_yoyIncrease_search
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]
Eingabeschema
{'type': 'object', 'properties': {'year': {'type': 'integer', 'description': 'current program year (default 2024, the latest loaded)'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "prescriber specialty substring, e.g. 'Cardiology'"}, 'prior_year': {'type': 'integer', 'description': 'comparison program year (default year-1)'}, 'min_pct_change': {'type': 'number', 'description': 'minimum percent increase (default 10)'}, 'min_increase_usd': {'type': 'number', 'description': 'minimum dollar increase (default 1000)'}}}
prescribers_lookup_search
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]
Eingabeschema
{'type': 'object', 'properties': {'npi': {'type': 'string', 'description': 'exact 10-digit NPI (alternative to name)'}, 'name': {'type': 'string', 'description': "prescriber name, free-text; 'Smith' (last-name prefix) or 'John Smith' (first + last prefixes)"}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter state code(s), comma-separated — narrows the name match'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "NPPES specialty substring, e.g. 'Endocrinology'"}}}
prescribers_partDAtypicalSpecialty_search
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]
Eingabeschema
{'type': 'object', 'required': ['drug_class'], 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': 'further restrict the atypical set to a specialty substring'}, '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'}}}
prescribers_partDBrandShareShift_search
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]
Eingabeschema
{'type': 'object', 'required': ['drug_class', 'molecule'], 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'molecule': {'type': 'string', 'description': "a generic within the class, e.g. 'Tirzepatide' or 'Empagliflozin'"}, 'direction': {'enum': ['toward', 'away'], 'type': 'string', 'description': 'share moved toward the molecule (default) or away from it'}, 'specialty': {'type': 'string', 'description': 'prescriber specialty substring'}, '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 50)'}, 'min_share_shift': {'type': 'number', 'description': 'minimum absolute share change in percentage points (default 10)'}}}
prescribers_partDByDrug_search
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]
Eingabeschema
{'type': 'object', 'properties': {'drug': {'type': 'string', 'description': "a single drug, brand or generic (e.g. 'Ozempic' or 'Semaglutide'); brands resolve to the canonical generic"}, 'year': {'type': 'integer', 'description': 'performance year (loaded: 2023, 2024; default 2024)'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "prescriber specialty substring, e.g. 'Endocrinology'"}, 'brand_name': {'type': 'string', 'description': "CMS brand-name prefix (case-insensitive), e.g. 'Eliquis'"}, 'drug_class': {'type': 'string', 'description': "therapeutic class from partd_drug_class, e.g. 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"}, 'min_claims': {'type': 'integer', 'description': 'minimum total Part D claims for the drug (that year)'}, 'generic_name': {'type': 'string', 'description': "CMS generic-name prefix (case-insensitive), e.g. 'Apixaban'"}, 'min_beneficiaries': {'type': 'integer', 'description': 'minimum total beneficiaries (null/suppressed rows excluded)'}}}
prescribers_partDClassWhitespace_search
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]
Eingabeschema
{'type': 'object', 'required': ['drug_class'], 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, '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'"}, '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"}}}
prescribers_partDClassYoyDelta_search
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]
Eingabeschema
{'type': 'object', 'required': ['drug_class'], 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'direction': {'enum': ['new_entrant', 'de_adopter'], 'type': 'string', 'description': 'new_entrant (new-to-class, default) or de_adopter (churned out)'}, 'specialty': {'type': 'string', 'description': "prescriber specialty substring, e.g. 'Endocrinology'"}, 'drug_class': {'type': 'string', 'description': "therapeutic class from partd_drug_class: 'GLP-1' | 'SGLT2' | 'DPP-4' | 'Statin'"}, 'min_pct_drop': {'type': 'number', 'description': 'de_adopter: minimum % drop PY2023→PY2024 (default 50)'}, '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)'}}}
prescribers_partD_search
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]
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string', 'description': '2-letter prescriber state code(s), comma-separated'}, 'offset': {'type': 'integer', 'default': 0}, 'specialty': {'type': 'string', 'description': "prescriber specialty substring, e.g. 'Endocrinology'"}, 'min_claims': {'type': 'integer', 'description': 'minimum claims on the selected column (default 50)'}, 'drug_category': {'enum': ['brand', 'opioid', 'opioid_long_acting', 'antibiotic'], 'type': 'string', 'description': 'select the matching CMS *_total_claims column (drives min_claims + sort); omit for total_claims'}, 'performance_year': {'type': 'integer', 'description': 'Part D program year (default 2024, the latest loaded)'}}}
providers_events_feed
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]
Eingabeschema
{'type': 'object', 'properties': {'ccn': {'type': 'string'}, 'npi': {'type': 'string'}, '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'}, 'limit': {'type': 'integer', 'default': 50, 'maximum': 100}, 'since': {'type': 'string', 'format': 'date', 'description': 'only events on/after this date (YYYY-MM-DD)'}, 'state': {'type': 'string', 'description': '2-letter state code(s), comma-separated'}, 'cursor': {'type': 'string', 'description': 'opaque next_cursor from the previous page'}}}
providers_provider360
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]
Eingabeschema
{'type': 'object', 'required': ['npi'], 'properties': {'npi': {'type': 'string', 'description': 'Path parameter: 10-digit National Provider Identifier (NPI)'}}}
sanctions_leie_search
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]
Eingabeschema
{'type': 'object', 'properties': {'npi': {'type': 'string'}, 'limit': {'type': 'integer', 'default': 25, 'maximum': 100}, 'state': {'type': 'string'}, 'offset': {'type': 'integer', 'default': 0}, 'exclusion_type': {'type': 'string'}, 'last_name_search': {'type': 'string'}, 'business_name_search': {'type': 'string'}}}
sanctions_screen
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]
Eingabeschema
{'type': 'object', 'properties': {'npi': {'type': 'string'}, 'name': {'type': 'string'}}}
Verlauf
Letzte Tool-Änderungen
Hinzugefügt
manufacturers_openPayments_yoyIncrease_search
17. September 2026 12:53
Hinzugefügt
openPayments_recipients_yoyIncrease_search
17. September 2026 12:53
Hinzugefügt
openPayments_recipients_search
17. September 2026 12:53
Hinzugefügt
prescribers_partD_search
17. September 2026 12:53
Hinzugefügt
prescribers_lookup_search
17. September 2026 12:53
Hinzugefügt
prescribers_partDBrandShareShift_search
17. September 2026 12:53
Hinzugefügt
prescribers_partDAtypicalSpecialty_search
17. September 2026 12:53
Hinzugefügt
prescribers_partDClassWhitespace_search
17. September 2026 12:53
Hinzugefügt
prescribers_partDClassYoyDelta_search
17. September 2026 12:53
Hinzugefügt
prescribers_partDByDrug_search
17. September 2026 12:53
Hinzugefügt
nppes_enumeration_search
17. September 2026 12:53
Hinzugefügt
hrsa_coveredEntities340b_search
17. September 2026 12:53
Hinzugefügt
hrsa_hpsa_search
17. September 2026 12:53
Hinzugefügt
hrsa_healthCenters_search
17. September 2026 12:53
Hinzugefügt
manufacturers_openPayments
17. September 2026 12:53
Hinzugefügt
manufacturers_search
17. September 2026 12:53
Hinzugefügt
providers_provider360
17. September 2026 12:53
Hinzugefügt
hospitals_capex_signals
17. September 2026 12:53
Hinzugefügt
providers_events_feed
17. September 2026 12:53
Hinzugefügt
hcris_hospital_financials
17. September 2026 12:53
Hinzugefügt
hpt_code_stats
17. September 2026 12:53
Hinzugefügt
sanctions_screen
17. September 2026 12:53
Hinzugefügt
hpt_rates_search
17. September 2026 12:53
Hinzugefügt
carecompare_dialysis_byCcn
17. September 2026 12:53
Hinzugefügt
carecompare_dialysis_search
17. September 2026 12:53
Hinzugefügt
carecompare_hospice_byCcn
17. September 2026 12:53
Hinzugefügt
carecompare_hospice_search
17. September 2026 12:53
Hinzugefügt
carecompare_home-health_byCcn
17. September 2026 12:53
Hinzugefügt
carecompare_home-health_search
17. September 2026 12:53
Hinzugefügt
carecompare_snf_byCcn
17. September 2026 12:53
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