Stratalize Healthcare
REMOTE · WWW.STRATALIZE.COM · SCANNED SEP 22
Retired. Use com.stratalize/stratalize.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 24640 tokens (~122/item across 201 items; 201 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage72
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 15% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 201 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 202 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the Stratalize Healthcare MCP server?
Stratalize Healthcare is a hosted endpoint at https://www.stratalize.com/api/mcp-public?vertical=healthcare, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · www.stratalize.com
claude mcp add --transport http com-stratalize-healthcare 'https://www.stratalize.com/api/mcp-public?vertical=healthcare'
{
"mcpServers": {
"com-stratalize-healthcare": {
"url": "https://www.stratalize.com/api/mcp-public?vertical=healthcare"
}
}
} {
"servers": {
"com-stratalize-healthcare": {
"type": "http",
"url": "https://www.stratalize.com/api/mcp-public?vertical=healthcare"
}
}
} [mcp_servers.com-stratalize-healthcare] url = "https://www.stratalize.com/api/mcp-public?vertical=healthcare"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-stratalize-healthcare": {
"type": "remote",
"url": "https://www.stratalize.com/api/mcp-public?vertical=healthcare",
"enabled": true
}
}
} openclaw mcp add com-stratalize-healthcare --url 'https://www.stratalize.com/api/mcp-public?vertical=healthcare' --transport streamable-http
mcp_servers:
com-stratalize-healthcare:
url: "https://www.stratalize.com/api/mcp-public?vertical=healthcare" {
"McpServers": {
"com-stratalize-healthcare": {
"Transport": "http",
"Url": "https://www.stratalize.com/api/mcp-public?vertical=healthcare"
}
}
} assistant mcp add com-stratalize-healthcare -t streamable-http -u 'https://www.stratalize.com/api/mcp-public?vertical=healthcare'
{
"mcpServers": {
"com-stratalize-healthcare": {
"type": "http",
"url": "https://www.stratalize.com/api/mcp-public?vertical=healthcare"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 0
- New tool “get_13f_holdings_delta” functional
- New tool “get_8k_material_events” functional
- New tool “get_ai_regulatory_landscape” functional
- New tool “get_bank_counterparty_diligence” functional
- New tool “get_cre_acquisition_diligence” functional
- New tool “get_data_freshness_attestation” functional
- New tool “get_financial_deal_readiness” functional
- New tool “get_form4_insider_cluster” functional
- New tool “get_form_d_new_raises” functional
- New tool “get_healthcare_vendor_gpo_diligence” functional
- New tool “get_litigation_enforcement_snapshot” functional
- New tool “get_litigation_risk_composite” functional
- New tool “get_new_litigation_alerts” functional
- New tool “get_regulatory_comment_deadlines” functional
- New tool “get_stealth_tokenize_entities” functional
- New tool “get_vendor_onboarding_dossier” functional
- New tool “get_verify_receipt_batch” functional
- New tool “get_x402_seller_statement” functional
- New tool “get_x402_traffic_diligence” functional
- 18 Sept 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “get_asc_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_billing_coding_risk” rewrote its description, which is the text the model reads security
- Tool “get_cms_facility_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_cms_open_payments_profile” rewrote its description, which is the text the model reads security
- Tool “get_cms_star_rating” rewrote its description, which is the text the model reads security
- Tool “get_ehr_cost_per_bed” rewrote its description, which is the text the model reads security
- Tool “get_fda_recall_history” rewrote its description, which is the text the model reads security
- Tool “get_gpo_contract_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_healthcare_category_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_healthcare_vendor_market_rate” rewrote its description, which is the text the model reads security
- Tool “get_hospital_care_compare_quality” rewrote its description, which is the text the model reads security
- Tool “get_hospital_supply_chain_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_irs_990_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_npi_provider_verification” rewrote its description, which is the text the model reads security
- Tool “get_openfda_adverse_events” rewrote its description, which is the text the model reads security
- Tool “get_payer_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_pharmacy_spend_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_physician_group_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_provider_market_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_staffing_agency_markup_analysis” rewrote its description, which is the text the model reads security
- Tool “get_stratalize_overview” rewrote its description, which is the text the model reads security
- Tool “get_travel_nurse_rate_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_value_based_care_performance” rewrote its description, which is the text the model reads security
- Schema quality: 3893 → 22643 ▼ functional
- Tool coverage: 5% → 18% ▲ functional
- New tool “get_adoption_stage” functional
- New tool “get_agricultural_commodity_benchmark” functional
- New tool “get_ai_consensus_on_topic” functional
- New tool “get_aml_regulatory_benchmark” functional
- New tool “get_audit_fee_benchmark” functional
- New tool “get_bank_financial_intelligence” functional
- New tool “get_bank_regulatory_benchmark” functional
- New tool “get_bls_inflation_components” functional
- New tool “get_bls_sector_employment” functional
- New tool “get_brand_momentum” functional
- New tool “get_cac_benchmark” functional
- New tool “get_cap_rate_benchmark” functional
- New tool “get_case_law_synthesis” functional
- New tool “get_category_ai_leaders” functional
- New tool “get_category_disruption_signal” functional
- New tool “get_category_spend_benchmark” functional
- New tool “get_cfpb_complaint_intelligence” functional
- New tool “get_chain_tvl_benchmark” functional
- New tool “get_citation_authority” functional
- New tool “get_climate_risk_benchmark” functional
- New tool “get_climate_risk_score” functional
- New tool “get_colorado_ai_act_requirements” functional
- New tool “get_commodity_benchmark” functional
- New tool “get_company_intelligence_synthesis” functional
- New tool “get_company_salary_disclosure” functional
- New tool “get_competitive_displacement_signal” functional
- New tool “get_competitive_landscape_synthesis” functional
- New tool “get_construction_cost_benchmark” functional
- New tool “get_consumer_sentiment_benchmark” functional
- New tool “get_copper_price_benchmark” functional
- New tool “get_corporate_debt_benchmark” functional
- New tool “get_cra_performance_ratings” functional
- New tool “get_cre_debt_benchmark” functional
- New tool “get_credit_spread_benchmark” functional
- New tool “get_credit_union_benchmark” functional
- New tool “get_crypto_correlation_benchmark” functional
- New tool “get_dao_treasury_benchmark” functional
- New tool “get_defi_yield_benchmark” functional
- New tool “get_development_pro_forma_benchmark” functional
- New tool “get_docket_intelligence” functional
- New tool “get_dol_labor_violations” functional
- New tool “get_earnings_quality_benchmark” functional
- New tool “get_eia_energy_public_snapshot” functional
- New tool “get_elliott_waves” functional
- New tool “get_employer_h1b_wages” functional
- New tool “get_employment_cost_index” functional
- New tool “get_esg_benchmark” functional
- New tool “get_eu_ai_act_coverage” functional
- New tool “get_fec_campaign_finance” functional
- New tool “get_federal_case_law” functional
- New tool “get_federal_contract_intelligence” functional
- New tool “get_federal_court_cases” functional
- New tool “get_fomc_rate_probability” functional
- New tool “get_ftc_enforcement_history” functional
- New tool “get_fx_rate_benchmark” functional
- New tool “get_gas_benchmark” functional
- New tool “get_github_ecosystem_intelligence” functional
- New tool “get_global_equity_benchmark” functional
- New tool “get_housing_supply_benchmark” functional
- New tool “get_hud_fair_market_rent” functional
- New tool “get_imf_weo_macro_snapshot” functional
- New tool “get_industry_spend_benchmark” functional
- New tool “get_industry_spend_profile” functional
- New tool “get_inflation_benchmark” functional
- New tool “get_insurance_benchmark” functional
- New tool “get_intel_contractor_profile” functional
- New tool “get_intel_findings_search” functional
- New tool “get_intel_join” functional
- New tool “get_intel_lettings_search” functional
- New tool “get_intel_owner_profile” functional
- New tool “get_intel_unit_prices” functional
- New tool “get_investment_category_signal” functional
- New tool “get_irs_industry_tax_statistics” functional
- New tool “get_job_openings_intelligence” functional
- New tool “get_judge_analytics” functional
- New tool “get_labor_market_benchmark” functional
- New tool “get_legislative_intelligence_synthesis” functional
- New tool “get_ma_multiples_benchmark” functional
- New tool “get_macro_market_signal” functional
- New tool “get_macro_playbook” functional
- New tool “get_market_intelligence_brief” functional
- New tool “get_market_structure_signal” functional
- New tool “get_model_risk_management_standards” functional
- New tool “get_mortgage_market_benchmark” functional
- New tool “get_ncreif_return_benchmark” functional
- New tool “get_ncua_credit_union_financials” functional
- New tool “get_nist_ai_rmf_requirements” functional
- New tool “get_noaa_disaster_economics” functional
- New tool “get_occ_enforcement_actions” functional
- New tool “get_ofac_sanctions_screening” functional
- New tool “get_oig_exclusion_screening” functional
- New tool “get_options_iv_benchmark” functional
- New tool “get_osha_enforcement” functional
- New tool “get_party_litigation_profile” functional
- New tool “get_pe_portfolio_benchmark” functional
- New tool “get_pe_return_benchmark” functional
- New tool “get_personal_savings_benchmark” functional
- New tool “get_platform_divergence” functional
- New tool “get_portfolio_vendor_intelligence” functional
- New tool “get_producer_price_by_industry” functional
- New tool “get_property_operating_benchmark” functional
- New tool “get_property_tax_benchmark” functional
- New tool “get_public_company_financials” functional
- New tool “get_public_market_multiples” functional
- New tool “get_real_estate_debt_stress_benchmark” functional
- New tool “get_regulatory_news_synthesis” functional
- New tool “get_reit_benchmark” functional
- New tool “get_rental_market_benchmark” functional
- New tool “get_residential_market_benchmark” functional
- New tool “get_resolve_game_outcome” functional
- New tool “get_resolve_price_threshold” functional
- New tool “get_retail_sales_benchmark” functional
- New tool “get_rwa_benchmark” functional
- New tool “get_saas_market_intelligence” functional
- New tool “get_saas_metrics_benchmark” functional
- New tool “get_saas_negotiation_playbook” functional
- New tool “get_salary_benchmark” functional
- New tool “get_sam_exclusion_screening” functional
- New tool “get_sba_loan_market_data” functional
- New tool “get_sec_beneficial_ownership” functional
- New tool “get_sec_insider_trading” functional
- New tool “get_sector_ai_intelligence” functional
- New tool “get_shipping_cost_benchmark” functional
- New tool “get_software_pricing_intelligence” functional
- New tool “get_spend_by_company_size” functional
- New tool “get_sports_mlb_scores” functional
- New tool “get_sports_nba_scores” functional
- New tool “get_sports_nfl_scores” functional
- New tool “get_sports_nhl_scores” functional
- New tool “get_sports_scores_multi” functional
- New tool “get_stablecoin_yield_benchmark” functional
- New tool “get_storm_event_history” functional
- New tool “get_top_vendors_by_category” functional
- New tool “get_trader_signals” functional
- New tool “get_uk_fca_coverage” functional
- New tool “get_us_state_ai_legislation” functional
- New tool “get_uspto_patent_intelligence” functional
- New tool “get_vendor_alternatives” functional
- New tool “get_vendor_benchmark” functional
- New tool “get_vendor_contract_intelligence” functional
- New tool “get_vendor_market_rate” functional
- New tool “get_vendor_negotiation_intelligence” functional
- New tool “get_vendor_risk_signal” functional
- New tool “get_venture_benchmark” functional
- New tool “get_verify_crypto_price” functional
- New tool “get_verify_game_outcome” functional
- New tool “get_wacc_benchmark” functional
- New tool “get_weather_delay_risk” functional
- New tool “get_web_research_synthesis” functional
- New tool “get_working_capital_benchmark” functional
- New tool “get_workplace_safety_benchmark” functional
- New tool “get_world_bank_country_indicators” functional
- New tool “get_yield_curve_benchmark” functional
- 26 Aug 26 +2
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 0
We did not load change detail this far back for this component, so this day may have recorded more than is shown.
- Stability: 0.97 → pass security
- 24 Aug 26 82
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 22 Sept 2026 · Probed https://www.stratalize.com/api/mcp-public?vertical=healthcare
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=www.stratalize.com | CN=YR2,O=Let's Encrypt,C=US | 3 Sept 2026 | 2 Dec 2026 | RSA 2048 | SHA256-RSA | 6af3a58b7e1ae9a810dd3831ea0392d9b2a |
| SANs: www.stratalize.com | ||||||
| CN=YR2,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | 4ebd24947e24d394802d84a52fd5b319 |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of www.stratalize.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| stratalize.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| content-security-policy | default-src 'self'; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://js.stripe.com https://cdn.jsdelivr.net https://*.sentry.io https://us-assets.i.posthog.com https://us.i.posthog.com https://ddwl4m2hdecbv.cloudfront.net https://s3-us-west-2.amazonaws.com https://fpnpmcdn.net https://cdn.getwarmly.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' https://fonts.gstatic.com; img-src 'self' data: https: blob:; connect-src 'self' https://www.stratalize.com https://*.supabase.co wss://*.supabase.co https://api.anthropic.com https://*.sentry.io https://inngest.com https://*.posthog.com https://us.i.posthog.com https://us-assets.i.posthog.com https://api.getwarmly.com https://*.getwarmly.com https://ddwl4m2hdecbv.cloudfront.net https://s3-us-west-2.amazonaws.com https://fpnpmcdn.net https://*.fingerprintjs.com https://pulse.walletconnect.org https://api.web3modal.org https://cca-lite.coinbase.com https://mm-sdk-analytics.api.cx.metamask.io https://api.fpjs.io https://mainnet |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(), geolocation=(), interest-cohort=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://www.stratalize.com/api/mcp-public?vertical=healthcare | Verified | 200 | |
| http (plaintext) | http://www.stratalize.com/api/mcp-public?vertical=healthcare | HTTPS enforced | 308 | https://www.stratalize.com/api/mcp-public?vertical=healthcare |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_irs_industry_tax_statistics ~199
Use when benchmarking financial performance against industry-level tax return data, establishing valuation comparables for M&A, assessing typical effective tax rates by sector, or producing financial due diligence context from the most authoritative source of actual US business financial performance. Returns IRS SOI aggregate statistics from actual filed corporation income tax returns — gross receipts, net income margins, and effective tax rates by industry. Data reflects actual filed returns, not survey estimates. Example: Healthcare and Social Assistance — 284,000 returns, 8.3% net income margin, 19.1% effective tax rate, $4.2M average gross receipts per return — baseline for healthcare PE valuation and acquisition multiples analysis. Source: IRS Statistics of Income Division. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_type | string | – | – |
| industry | string | yes | Industry name or NAICS sector (e.g. healthcare, construction, professional services, manufacturing) |
No output schema declared.
No examples provided.
get_job_openings_intelligence ~93
JOLTS labor market intelligence from BLS: job openings, quits rate, layoffs rate, and tight/loose/normal interpretation. Use for workforce planning, wage pressure forecasting, and recession early-warning agents. Source: BLS JOLTS. $0.10 standard. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_judge_analytics ~90
Federal judge profile — court positions, appointment history, political affiliation, education, and opinion count. Source: CourtListener (Free Law Project). Use when assessing litigation risk or evaluating judicial philosophy. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| judge_name | string | yes | – |
No output schema declared.
No examples provided.
get_labor_market_benchmark ~136
Live labor market benchmarks from FRED — unemployment, U-6 underemployment, JOLTS job openings, quit rate, labor participation, weekly claims, wage growth. Tight/balanced/loosening signal for macro agents and portfolio managers. Live source. Returns HTTP 503 (no charge) if upstream source unavailable for >50% of fields. | x402 SLA: $0.10 USDC per call. Returns HTTP 503 (no charge) when upstream data sources unavailable. data_source field discloses provenance (fred_api/fred_csv/fred_mixed).
| Name | Type | Req | Description |
|---|---|---|---|
| focus | string | – | – |
No output schema declared.
No examples provided.
get_legislative_intelligence_synthesis ~66
Legislative intelligence synthesis: current bill status, recent passages, and amendments for a topic and jurisdiction, synthesized from live sources with a cryptographic receipt. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| jurisdiction | string | – | – |
| topic | string | yes | – |
No output schema declared.
No examples provided.
get_litigation_enforcement_snapshot ~117
Use when assessing litigation and enforcement exposure for a counterparty. Fans in litigation risk composite, new litigation alerts, federal court cases, FTC enforcement history, and OCC enforcement actions — degrading per-section (including CourtListener-dependent alerts) on source_unavailable. Input party_name (required). $3.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | – | – |
| court | string | – | – |
| days_back | integer | – | – |
| institution_name | string | – | – |
| party_name | string | yes | – |
No output schema declared.
No examples provided.
get_litigation_risk_composite ~75
Use when synthesizing litigation risk from party profile, docket intelligence, and optional judge analytics. Composite degrades transparently when partial CourtListener sources fail. Source: CourtListener composite. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| judge_name | string | – | – |
| party_name | string | yes | – |
No output schema declared.
No examples provided.
get_ma_multiples_benchmark ~114
Use when valuing an acquisition target, benchmarking deal pricing, or preparing a fairness opinion. M&A transaction multiples — acquisition EV/EBITDA, EV/Revenue, and control premiums by industry and deal size. Source: Damodaran transaction dataset and public deal aggregates. Used by corp dev, PE deal teams, M&A advisors, and CFOs preparing fairness opinions. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| deal_size_tier | string | – | – |
| industry | string | yes | – |
No output schema declared.
No examples provided.
get_macro_market_signal ~128
Use when a current macro environment snapshot is needed for a trading brief, CFO board presentation, or investment committee context. Returns Fed funds rate, Treasury yields, CPI, PCE, and employment data when FRED API is configured. Example: Fed funds 5.33%, 10Y 4.42%, CPI 3.1% — rates and inflation above long-run targets, labor market tight — LATE-CYCLE positioning signal. Source: FRED St. Louis Fed, daily update. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| signal_type | string | – | – |
No output schema declared.
No examples provided.
get_macro_playbook ~72
Use when a trader or portfolio manager needs current regime label and tactical positioning. Returns active regime, verifiable FOMC facts, live market snapshot, model interpretation, concurrent playbooks, and key levels. Example: regime label with playbook actions and risk triggers. $0.50 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_market_intelligence_brief ~117
Use when producing a quick industry intelligence brief or validating market narrative for a strategy deck. Returns AI-generated market summary, up to six key themes, and sentiment skew for any industry. Example: Healthcare IT market — POSITIVE sentiment 68%, key themes: EHR consolidation, AI-assisted coding, value-based care expansion — consolidation narrative dominant across 847 analyzed queries. Source: Stratalize AI citation composite. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| industry | string | yes | – |
| topic | string | – | – |
No output schema declared.
No examples provided.
get_market_structure_signal ~107
Use when assessing software category maturity, timing a market entry, or evaluating consolidation risk in a category. Returns market structure signal (consolidating or fragmenting) with citation evidence. Example: HR tech category — CONSOLIDATING signal, top 3 vendors hold 71% of AI citation share — late-stage consolidation signals pricing power shift to incumbents. Source: Stratalize market structure composite. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
No output schema declared.
No examples provided.
get_model_risk_management_standards ~191
Use when preparing for a model risk management examination, building an SR 26-2 compliant model governance program, or assessing a financial institution's MRM framework against regulatory expectations. Returns Federal Reserve SR 26-2 and OCC requirements across development, independent validation, ongoing monitoring, and governance — with exam deficiency rates showing where institutions most commonly fail. For AI and ML models, SR 26-2 explicitly requires independent validation even for vendor-supplied models and black-box systems. Example: Documentation deficiencies are the most common exam finding at 67% of reviewed institutions — inadequate conceptual soundness documentation for credit scoring models triggers immediate MRA (Matter Requiring Attention). Source: Federal Reserve SR 26-2, OCC Bulletin 2026-13, FDIC FIL-15-2026. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| institution_type | string | – | – |
No output schema declared.
No examples provided.
get_mortgage_market_benchmark ~89
Live mortgage rate benchmarks — 30Y and 15Y fixed from FRED weekly survey, ARM spreads, points and fees, DTI standards, and affordability index. For homebuyers, lenders, real estate agents, and housing analysts. Rates update weekly. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| loan_type | string | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_nadac_drug_benchmark ~192
Use when a pharmacy buyer, 340B program manager, or CFO agent needs CMS NADAC drug acquisition cost benchmarks for contract negotiation or payer comparison. Returns latest NADAC per unit, effective_date, as_of_date, pricing_unit, ndc_description, normalized ndc11, source ndc, and restatement_detected when CMS republishes the same effective date. Example: NDC 42385096230 — NADAC $1.45422/EA as_of 2026-07-15 effective 2026-06-17. Source: CMS NADAC (data.medicaid.gov DKAN, weekly). | x402 SLA: $0.02 USDC per call. Returns HTTP 503 (no charge) when upstream data sources unavailable. data_sources[] discloses provenance string bound by synthesis.output_hash.
| Name | Type | Req | Description |
|---|---|---|---|
| ndc_or_name | string | yes | – |
No output schema declared.
No examples provided.
get_ncreif_return_benchmark ~98
NCREIF Property Index institutional return benchmarks — total returns, income returns, and appreciation by property type and region. The standard benchmark for institutional real estate portfolios. Source: NCREIF quarterly public data. For pension funds, endowments, and institutional asset managers. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| period | string | – | – |
| property_type | string | – | – |
| region | string | – | – |
No output schema declared.
No examples provided.
get_ncua_credit_union_financials ~188
Use when evaluating a credit union for partnership, acquisition, membership, or competitive benchmarking in a local market. Returns NCUA call report financials — assets, deposits, loans, net worth ratio, delinquency rate, and ROA — with peer comparison signals. The same financial data NCUA examiners review during examination preparation. Well-capitalized threshold is 7% net worth ratio — institutions below this face mandatory corrective action. Example: ABC Federal Credit Union — $2.1B assets, 11.2% net worth ratio (59% above minimum), 0.38% delinquency vs 0.71% peer average — financially strong, low credit quality risk. Source: NCUA Call Report Data. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| credit_union_name | string | yes | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_new_litigation_alerts ~94
Use when monitoring new federal dockets filed against a party in the last N days. Returns docket alerts from CourtListener; zero results is a legitimate empty answer. Source: CourtListener docket search. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| court | string | – | – |
| days_back | integer | – | – |
| nature_of_suit | string | – | – |
| party_name | string | yes | – |
No output schema declared.
No examples provided.
get_nist_ai_rmf_requirements ~186
Use when conducting an AI risk management gap assessment, building board-level AI governance documentation, preparing for a model risk examination, or aligning an AI program with federal regulatory expectations. NIST AI RMF 1.0 is the US federal standard for AI risk management — adopted by reference in the Executive Order on Safe AI and aligned with Federal Reserve SR 26-2, OCC model risk guidance, and FDIC requirements. Returns all four functions (GOVERN, MAP, MEASURE, MANAGE) with categories, subcategories, and implementation guidance. Example: GOVERN function requires board-level AI policy, documented accountability structures, and AI risk culture assessment — the first control examiners check in a model risk review. Source: NIST AI RMF 1.0. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| function_filter | string | – | – |
No output schema declared.
No examples provided.
get_noaa_disaster_economics ~162
Use when establishing the macroeconomic cost of climate risk for board-level ESG reporting, reinsurance negotiations, infrastructure investment decisions, or climate-related financial risk disclosures under SEC or TCFD frameworks. Returns NOAA's official annual billion-dollar disaster economics — event count, total losses, deaths, and historical context showing 10-year trend acceleration. Example: 2023 — 28 events, $92.9B total losses, 12% above the 10-year average — the fifth consecutive year of above-average economic losses. Cited by the Federal Reserve, Treasury, and major reinsurers as the authoritative US climate loss series. Source: NOAA NCEI. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| year | number | – | – |
No output schema declared.
No examples provided.
get_npi_provider_verification ~115
Use when verifying a clinician or organization NPI against CMS NPPES before contracting or credentialing. Returns enumeration status, taxonomy, license state, and identity fields from live NPPES lookup. Source: CMS NPPES Registry. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| npi | string | – | – |
| provider_name | string | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_occ_enforcement_actions ~161
Use when assessing regulatory risk for a national bank or federal thrift before a merger, acquisition, partnership, correspondent banking relationship, or vendor engagement. Returns active and historical OCC enforcement actions — formal agreements, consent orders, cease-and-desist orders, and civil money penalties — the same records OCC examiners pull during supervisory reviews. Example: First National Bank of Springfield — formal agreement active since March 2022 requiring BSA/AML program overhaul, independent compliance consultant, and quarterly progress reports to OCC — agreement not yet terminated, elevates acquisition risk materially. Source: OCC Enforcement Actions — official supervisory records. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| institution_name | string | yes | Bank or thrift name (e.g. First National Bank of Springfield) |
No output schema declared.
No examples provided.
get_ofac_sanctions_screening ~132
Use when onboarding a vendor, counterparty, or individual requires OFAC sanctions screening with attested results. Screens Treasury SDN and Consolidated lists with conservative fuzzy matching, match methodology metadata, and list version binding for GSR verification. Source: Treasury OFAC synced lists. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| alias | string | – | – |
| country | string | – | – |
| entity_name | string | yes | – |
| entity_type | string | – | – |
No output schema declared.
No examples provided.
get_oig_exclusion_screening ~114
Use when credentialing a healthcare provider or verifying vendor eligibility against federal exclusions. Screens HHS OIG LEIE by provider name or NPI with list version and as-of date in the attested payload. Source: HHS OIG LEIE synced exclusions. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| npi | string | – | – |
| provider_name | string | – | – |
No output schema declared.
No examples provided.
get_openfda_adverse_events ~100
FDA FAERS adverse event signal for a drug — total reports, serious events, deaths, hospitalizations, top reactions with percentages, and signal level (HIGH / ELEVATED / MONITOR / LOW). Source: OpenFDA. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| drug_name | string | yes | – |
No output schema declared.
No examples provided.
get_options_iv_benchmark ~140
Crypto options implied volatility benchmarks — BTC and ETH 7D/30D IV, put/call ratio, fear/greed signal, term structure shape, and VIX comparison. Source: Deribit public API + FRED. For options traders and volatility agents. Live source. Returns HTTP 503 (no charge) if upstream source unavailable for >50% of fields. | x402 SLA: $0.10 USDC per call. Returns HTTP 503 (no charge) when upstream data sources unavailable. data_source field discloses provenance (fred_api/fred_csv/fred_mixed).
| Name | Type | Req | Description |
|---|---|---|---|
| asset | string | – | – |
No output schema declared.
No examples provided.
get_osha_enforcement ~94
OSHA inspection and violation history for a named employer — total inspections, violations, cumulative penalties, and violation type breakdown. Source: DOL Enforcement Data. Use in vendor diligence, M&A, or ESG risk. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| employer_name | string | yes | – |
No output schema declared.
No examples provided.
get_party_litigation_profile ~101
Stratalize — governed intelligence for the agentic economy. Federal litigation history for a company or individual — total docket count, active courts, nature of suit breakdown, and recent cases. Required param: party name. Source: CourtListener. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| party_name | string | yes | – |
No output schema declared.
No examples provided.
get_payer_intelligence ~132
Use when benchmarking payer performance, building a denial management strategy, or preparing revenue cycle board reporting. Returns denial rates by payer, prior authorization burden by specialty, and payer mix commentary. Example: Commercial payer denial rates — UnitedHealth 8.2%, Cigna 9.4%, Aetna 7.1% — prior auth burden 34% higher for specialist services — top quartile denial rate is 5.1%. Source: Stratalize national revenue cycle composite. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| payer_name | string | – | – |
| specialty | string | – | – |
No output schema declared.
No examples provided.
get_pe_portfolio_benchmark ~123
Use when benchmarking portco technology spend for PE operating partners or building a software cost reduction case across a portfolio. Returns median software spend per company, category breakdown, and savings opportunity percentage. Example: Mid-market portco median $480K/yr — 18% savings opportunity through vendor consolidation — $86K/portco recovery across 10-company portfolio = $860K EBITDA improvement. Source: Stratalize PE Intelligence composite. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_count | number | – | – |
| sector | string | – | – |
No output schema declared.
No examples provided.
get_pe_return_benchmark ~108
Use when benchmarking fund performance, setting LP return expectations, or evaluating a GP track record. Private equity and venture return benchmarks — IRR, TVPI, DPI by vintage year and strategy (buyout, growth equity, venture). Source: Cambridge Associates public benchmark summaries. Used by PE GPs, LPs, and fund CFOs for performance reporting and fundraising. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| strategy | string | yes | – |
| vintage_year | number | – | – |
No output schema declared.
No examples provided.
get_personal_savings_benchmark ~94
BEA personal saving rate from FRED with long-run average comparison and above-average flag. Use when assessing household balance sheet health, consumption durability, and macro recession risk. Source: FRED / BEA. $0.02 atomic. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_pharmacy_spend_benchmark ~177
Use when benchmarking hospital pharmacy costs or building a pharmacy cost reduction strategy for a board presentation. Returns drug cost per adjusted patient day, 340B savings opportunity from published savings ranges, specialty drug drivers, and GPO targets by bed size. Example: 250-bed community hospital — drug cost $287/adjusted patient day vs $241 peer median — 340B eligibility could recover $1.8M annually — specialty drugs driving 61% of cost variance. Source: Stratalize static model derived from published 340B savings ranges. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_patient_days | number | – | – |
| annual_pharmacy_spend | number | – | – |
| bed_size | number | – | – |
| enrolled_340b | boolean | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_physician_group_benchmark ~118
Use when evaluating physician employment agreements, benchmarking compensation for recruitment, or preparing a medical staff compensation report. Returns median total compensation by specialty and state from BLS OES 2024 data. Example: Illinois cardiologist median $461K total compensation — interventional cardiology 34% above general cardiology — organizations below 25th percentile face retention risk in competitive markets. Source: BLS Occupational Employment Statistics. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| specialty | string | yes | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_platform_divergence ~111
Use when identifying gaps between AI platform recommendations and actual market position for a vendor or topic. Returns platform agreement score showing consistency across AI platforms. Example: Salesforce scores 0.91 agreement across ChatGPT, Claude, Gemini, Perplexity — near-universal consensus. Niche vendors often score below 0.50 — high divergence signals a content gap opportunity. Source: Stratalize multi-platform citation composite. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| brand_name | string | yes | – |
No output schema declared.
No examples provided.
get_portfolio_vendor_intelligence ~112
Use when conducting vendor diligence for a PE or VC portfolio company before a value creation initiative. Returns market rate data, brand index snapshot, and competitive displacement signals for any vendor. Example: Portco using Salesforce at $12,400/mo — market median $8,400/mo, 48% above market — immediate renegotiation opportunity with $48K annual EBITDA recovery. Source: Stratalize composite diligence. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| vendor_name | string | yes | – |
No output schema declared.
No examples provided.
get_producer_price_by_industry ~102
BLS Producer Price Index by industry with index level and year-over-year change. Covers software, healthcare services, banking, construction, retail, hospital, and consulting. Use for input cost benchmarking and PPI pass-through analysis. Source: BLS PPI. $0.10 standard. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.
| Name | Type | Req | Description |
|---|---|---|---|
| industry | string | yes | – |
No output schema declared.
No examples provided.
get_property_operating_benchmark ~87
Property operating benchmarks — OpEx per SF, NOI margins, and occupancy rates by property type. Sources: BOMA Experience Exchange, IREM Income/Expense Analysis, NCREIF. For asset managers, property managers, and acquisition underwriters. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| market_tier | string | – | – |
| property_type | string | yes | – |
No output schema declared.
No examples provided.
get_property_tax_benchmark ~94
Property tax benchmarks — effective tax rates by state and property type, assessment ratios, and appeal success rates. Source: Lincoln Institute of Land Policy. For property owners, asset managers, and acquisition teams. Property tax is the largest controllable operating expense for most commercial properties. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| property_type | string | – | – |
| state | string | yes | Two-letter US state code |
No output schema declared.
No examples provided.
get_provider_market_intelligence ~127
Use when assessing physician supply in a market, evaluating a healthcare network expansion, or benchmarking provider density for population health strategy. Returns NPI registry physician counts and market structure by specialty and state. Example: Illinois cardiology — 847 cardiologists, 2.3 per 10,000 population vs 2.7 national median — below-median supply signals referral network expansion opportunity. Source: CMS NPI Registry synced data. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| city | string | – | – |
| specialty | string | yes | – |
| state | string | yes | – |
No output schema declared.
No examples provided.
get_public_company_financials ~137
Use when pulling public company financials for a comparable company analysis, M&A due diligence, or investor brief. Returns SEC EDGAR financial statement data — income statement, balance sheet, and key ratios from filed reports. Note: cache may reflect prior quarter — verify against latest SEC filing for time-sensitive analysis. Example: Salesforce FY2024 — $34.9B revenue, 29% operating margin on services, $4.1B operating cash flow — fundamental anchor for CRM sector comparable analysis. Source: SEC EDGAR synced filings. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | – |
No output schema declared.
No examples provided.
get_public_market_multiples ~109
Use when building a public comps table, benchmarking a private company valuation, or preparing a fundraising benchmark. Public market valuation multiples — EV/EBITDA, EV/Revenue, P/E, and P/S by sector with p25/p50/p75 bands. Source: Damodaran January 2024 dataset. Used for board prep, M&A pricing, fundraising benchmarks, and DCF sanity checks. Free.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | – | – |
| sector | string | yes | – |
No output schema declared.
No examples provided.
get_real_estate_debt_stress_benchmark ~91
CRE debt stress benchmarks — live delinquency rate from FRED, CMBS delinquency by property type, maturity wall exposure, and stressed cap rate scenarios. For lenders, special servicers, distressed investors, and regulators. Delinquency rate updates quarterly. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| property_type | string | – | – |
| scenario | string | – | – |
No output schema declared.
No examples provided.
get_regulatory_comment_deadlines ~80
Use when tracking Federal Register proposed rules and notices with open comment periods. Filters comment windows client-side on comments_close_on when API cannot server-side filter. Source: Federal Register API. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| agencies | array | – | – |
| days_ahead | integer | – | – |
| term | string | – | – |
No output schema declared.
No examples provided.
get_regulatory_news_synthesis ~78
Real-time regulatory news synthesis for a topic or agency (SEC, FTC, OCC, CFPB, FDA). Returns current enforcement and rule-change developments synthesized from live sources with a signed receipt proving which sources were consulted. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| agency | string | – | – |
| topic | string | yes | – |
No output schema declared.
No examples provided.
get_reit_benchmark ~72
REIT valuation and performance benchmarks — FFO multiples, AFFO multiples, dividend yields, NAV premium/discount, and total returns by property sector. Source: NAREIT public monthly data. For REIT analysts, portfolio managers, and IR teams. Free.
| Name | Type | Req | Description |
|---|---|---|---|
| property_sector | string | yes | – |
No output schema declared.
No examples provided.
get_rental_market_benchmark ~97
Rental market benchmarks — asking rents by unit type, live vacancy rate from FRED, rent growth trends, and rent-to-income ratios by market tier. Sources: HUD Fair Market Rents, FRED live vacancy, ApartmentList public data. For landlords, multifamily investors, and property managers. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| market_tier | string | – | – |
| unit_type | string | – | – |
No output schema declared.
No examples provided.
get_residential_market_benchmark ~94
Residential real estate market benchmarks — home price indices, price-to-rent ratios, affordability, months of supply, and homeownership rate by market tier. Sources: FHFA HPI, FRED live data, Census. For residential investors, agents, developers, and housing analysts. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| market_tier | string | – | – |
| property_type | string | – | – |
No output schema declared.
No examples provided.
get_resolve_game_outcome ~137
Binary prediction market resolver for sports outcomes. Evaluates home_win, away_win, draw, or not_draw conditions via multi-source consensus. Returns boolean resolution with ML-DSA-65 signed receipt verifiable on Base, designed for autonomous on-chain settlement. Supports NFL, NBA, MLB, NHL, Soccer, Esports. $0.50. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| away_team | string | yes | – |
| competition | string | – | – |
| game_date | string | yes | – |
| home_team | string | yes | – |
| resolve_for | string | yes | – |
| sport | string | yes | – |
No output schema declared.
No examples provided.
get_resolve_price_threshold ~77
Resolve whether a crypto asset is above or below a threshold via multi-source consensus for settlement and verification workflows. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| direction | string | yes | – |
| fiat | string | – | – |
| symbol | string | yes | – |
| threshold | number | yes | – |
| tolerance_pct | number | – | – |
No output schema declared.
No examples provided.
What is the Stratalize Healthcare MCP server?
Stratalize Healthcare is an MCP server listed in the public MCP registry as com.stratalize/healthcare. Retired. Use com.stratalize/stratalize. This page covers its hosted endpoint (https://www.stratalize.com/api/mcp-public?vertical=healthcare).
Is the Stratalize Healthcare MCP server safe to use?
Stratalize Healthcare scores 84 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Stratalize Healthcare MCP server expose?
Stratalize Healthcare exposes 201 tools: get_verify_crypto_price, get_resolve_price_threshold, get_verify_game_outcome, get_resolve_game_outcome, get_sports_nba_scores, and 196 more. Their descriptions and schemas cost roughly 24,494 tokens of context every time the server is loaded.
Does the Stratalize Healthcare MCP server require authentication?
No. We connected to Stratalize Healthcare without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Stratalize Healthcare MCP server still maintained?
Stratalize Healthcare is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.