{"name":"Stratalize","description":"AI governance and intelligence platform — 166 publicly-callable governed MCP tools across finance, healthcare, real estate, crypto, and governance. Every response ML-DSA-65 attested (NIST FIPS 204). Zero-storage JIT synthesis. Examination-ready for SR 26-2, EU AI Act, and FCA PS7/24.","mcp_endpoint":"https://www.stratalize.com/api/mcp-public","oauth_protected_endpoint":"https://www.stratalize.com/api/mcp/v1","oauth_endpoint":"https://www.stratalize.com/api/mcp/v1/oauth/authorize","skills_endpoint":"https://www.stratalize.com/api/skills","skills_count":10,"attestation":{"algorithm":"ML-DSA-65","verification_url":"https://www.stratalize.com/api/trust/signing-key","governance":"zero-storage-jit"},"tools":[{"name":"get_vendor_market_rate","description":"Use when a CFO or procurement team needs to know if they are overpaying for any software vendor. Returns monthly_median, monthly_low, monthly_high, annual_median, pricing_model, source, and data_as_of from healthcare vendor benchmark lookups with Stratalize composite medians as fallback when no vendor-specific row exists. Example: Salesforce CRM median ~$8,400/mo — organizations above the monthly_high range are overpaying by a recoverable margin. Source: healthcare_vendor_benchmarks with Stratalize composite medians.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string","description":"Vendor name to look up"},"industry":{"type":"string","description":"Optional industry filter"},"company_size":{"type":"string","description":"Optional company size segment"}},"required":["vendor_name"]}},{"name":"get_category_spend_benchmark","description":"Use when benchmarking total spend in a software category against same-size peers. Returns median monthly spend, p25/p75 band, and sample size for any software category by company size. Example: Mid-market CRM spend median ~$3,500/mo, p75 of $4,900 — organizations above p75 have a negotiation mandate supported by market data. Source: Stratalize enterprise spend composite.","inputSchema":{"type":"object","properties":{"category":{"type":"string","description":"Software or service category"},"company_size":{"type":"string"},"industry":{"type":"string"}},"required":["category"]}},{"name":"get_vendor_negotiation_intelligence","description":"Use when preparing to renew or renegotiate a SaaS contract. Returns typical discount percentage, best negotiation windows, leverage points, auto-renewal risk flags, and a negotiation script for any vendor. Example: Salesforce renewals average 12-18% discount when initiated 90 days before renewal with multi-year commit — Q4 close urgency adds 5-8% additional leverage. Source: Stratalize procurement intelligence composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_top_vendors_by_category","description":"Use when building a vendor shortlist for a new software category purchase. Returns vendors ranked by mention count and median spend from enterprise spend data. Example: HR tech category — Workday median $42K/mo, BambooHR $3,200/mo, Rippling $8,400/mo — 13x spend spread between enterprise and SMB confirms size-appropriate shortlisting. Source: Stratalize market composite.","inputSchema":{"type":"object","properties":{"category":{"type":"string"},"limit":{"type":"number","minimum":1,"maximum":50}},"required":["category"]}},{"name":"get_vendor_contract_intelligence","description":"Use when reviewing a new vendor agreement or benchmarking contract terms before a negotiation. Returns typical contract length, auto-renewal notice window, price escalation percentage, and key risk clauses for any major vendor. Example: Salesforce standard — 36-month term, 60-day auto-renewal notice, 7% annual escalation — missing the 60-day window costs 12 months of negotiation leverage. Source: Stratalize contract intelligence composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_spend_by_company_size","description":"Use when benchmarking software category spend against same-size organizations before a purchase or renewal. Returns SMB, mid-market, and enterprise median monthly spend for any software category. Example: CRM median spend — SMB $1,200/mo, mid-market $8,400/mo, enterprise $42,000/mo — 35x spread confirms size-appropriate benchmarking before any negotiation. Source: Stratalize size-segmented composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_software_pricing_intelligence","description":"Use when evaluating a new software purchase or reviewing a vendor quote for hidden costs. Returns common pricing models, hidden cost patterns, implementation cost ranges, and budget guidance by category. Example: CRM hidden costs — API overage $0.02/call adds $8,400/yr at 420K monthly calls, sandbox $1,200/mo additional, SSO integration $15K one-time — total cost 40% above list price. Source: Stratalize category pricing composite.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_category_ai_leaders","description":"Use when assessing brand visibility in AI-generated recommendations or researching which vendors dominate AI platform responses in a software category. Returns vendors ranked by unprompted AI mention frequency. Example: CRM category — Salesforce 42 mentions across 100 queries, HubSpot 28, Microsoft Dynamics 14 — Salesforce dominates AI recommendations by 50% over nearest competitor. Source: Stratalize AI citation index.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_platform_divergence","description":"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.","inputSchema":{"type":"object","properties":{"brand_name":{"type":"string"}},"required":["brand_name"]}},{"name":"get_ai_consensus_on_topic","description":"Use when researching how AI systems characterize a vendor, category, trend, or business topic across multiple platforms simultaneously. Returns consensus score, sentiment mix, key themes, and platform-by-platform breakdown. Example: AI in healthcare scores 0.78 consensus — key themes: clinical decision support, administrative automation, prior auth reduction — high consensus signals established narrative safe for board communications. Source: Stratalize AI citation composite.","inputSchema":{"type":"object","properties":{"topic":{"type":"string"},"category":{"type":"string"}},"required":["topic"]}},{"name":"get_cms_facility_benchmark","description":"Use when benchmarking hospital operating costs against CMS peer cohort or preparing a healthcare CFO board presentation. Returns peer_group context, benchmark_percentiles, metadata, source attribution, and optional database_row detail from the matched CMS benchmark row by bed size, state, and hospital type. Example: 300-bed acute care hospital in Illinois — peer group and percentile outputs show where operating metrics sit versus cohort benchmarks. Source: CMS HCRIS cost reports.","inputSchema":{"type":"object","properties":{"bed_size":{"type":"number"},"state":{"type":"string"},"hospital_type":{"type":"string"}},"required":["bed_size","state"]}},{"name":"get_payer_intelligence","description":"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.","inputSchema":{"type":"object","properties":{"specialty":{"type":"string"},"payer_name":{"type":"string"}}}},{"name":"get_cms_star_rating","description":"Use when advising on CMS Hospital Star Rating strategy or benchmarking a hospital quality performance trajectory. Returns domain weights, national distribution benchmarks, and improvement priorities. Example: Mortality domain weighted at 22% of overall star — hospitals moving 3 to 4 stars typically require 18-month mortality improvement program — 3-star hospitals represent 41% of the national distribution. Source: CMS Care Compare methodology.","inputSchema":{"type":"object","properties":{"hospital_name":{"type":"string"},"current_star_rating":{"type":"number","minimum":1,"maximum":5},"state":{"type":"string"}}}},{"name":"get_travel_nurse_rate_benchmark","description":"Use when benchmarking travel nurse contract rates or negotiating with a staffing agency. Returns bill-rate medians and bands by specialty and state. Example: ICU travel nurse median bill rate $95/hr in Illinois, p75 $108/hr — agencies billing above $115/hr are 21% above market — renegotiation typically recovers $180K-$240K annually per 10 FTE travelers. Source: BLS and Stratalize SIA-style composite.","inputSchema":{"type":"object","properties":{"specialty":{"type":"string"},"state":{"type":"string"}},"required":["specialty","state"]}},{"name":"get_macro_market_signal","description":"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.","inputSchema":{"type":"object","properties":{"signal_type":{"type":"string"}}}},{"name":"get_pe_portfolio_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"company_count":{"type":"number"},"sector":{"type":"string"}}}},{"name":"get_saas_negotiation_playbook","description":"Use when a major SaaS contract is approaching renewal or auto-renewal risk. Returns timing strategy, leverage points, walk-away alternatives, and a complete negotiation script for any vendor. Example: Datadog renewal — initiate 90 days before, cite Grafana Cloud at 40% lower cost as walk-away, target 15-20% discount — Q4 close adds urgency leverage. Source: Stratalize procurement intelligence.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string","description":"Vendor name (e.g. Slack, Zoom, Salesforce)"}},"required":["vendor_name"]}},{"name":"get_industry_spend_profile","description":"Use when sizing a technology budget for a specific industry and headcount, or identifying category spend outliers. Returns spend bands, category ranges, and outlier flags scaled to employee count. Example: 500-person healthcare org — total SaaS stack median $1.2M/yr, EHR 34% of spend, clinical productivity tools 18% — organizations above $1.8M are consolidation candidates. Source: Stratalize workforce-scaled composite.","inputSchema":{"type":"object","properties":{"industry":{"type":"string"},"employee_count":{"type":"number"}},"required":["industry"]}},{"name":"get_vendor_alternatives","description":"Use when evaluating a vendor switch or building a competitive RFP against an incumbent. Returns alternative vendors with migration complexity scores, estimated savings, and switching narrative. Example: Salesforce alternatives — HubSpot at 22% lower median spend with comparable CRM coverage, Pipedrive at 41% lower for sales-only — migration complexity rated MEDIUM for both. Source: Stratalize competitive displacement composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"},"reason":{"type":"string","description":"Reason for switching: cost, features, support"}},"required":["vendor_name"]}},{"name":"get_employer_h1b_wages","description":"Use when analyzing an employer H-1B compensation strategy or benchmarking tech sector wages against DOL prevailing wage data. Returns prevailing wage statistics, certified job titles, wage levels, and state distribution from DOL LCA filings. Example: Google H-1B — software engineer Level IV prevailing wage $195K, 1,243 certified positions in 2023 — concentrated in Mountain View and New York City offices. Source: DOL Labor Condition Application public data.","inputSchema":{"type":"object","properties":{"employer_name":{"type":"string"}},"required":["employer_name"]}},{"name":"get_hospital_care_compare_quality","description":"Use when evaluating hospital quality for a referral network decision, acquisition target assessment, or competitive quality analysis. Returns CMS Hospital Compare scores — safety, readmissions, patient experience, mortality, and overall star rating by hospital. Example: Northwestern Memorial — 5-star overall, top decile on mortality and safety, HCAHPS 87th percentile — benchmark for quality-driven referral network design. Source: CMS Care Compare synced data.","inputSchema":{"type":"object","properties":{"hospital_name":{"type":"string"}},"required":["hospital_name"]}},{"name":"get_bank_financial_intelligence","description":"Use when evaluating a bank for acquisition, partnership, correspondent banking, or competitive analysis in a local market. Returns FDIC-sourced assets, deposits, capital ratios, loan quality, and peer benchmark positioning. Example: Midwest Community Bank — $2.4B assets, CET1 12.3% (well above 6% minimum), NPL ratio 0.42% vs 0.71% peer median — strong capital position, favorable acquisition target profile. Source: FDIC BankFind synced call report data.","inputSchema":{"type":"object","properties":{"bank_name":{"type":"string"}},"required":["bank_name"]}},{"name":"get_salary_benchmark","description":"Use when setting compensation ranges, evaluating a job offer, or preparing a comp committee presentation for any role. Returns p25, p50, p75 wage estimates with state and industry adjustments across 50+ role families. Example: Software engineer in Illinois — p25 $98K, median $127K, p75 $158K — organizations benchmarking above p75 retain 34% fewer departures in competitive talent markets. Source: BLS Occupational Employment Statistics, latest release.","inputSchema":{"type":"object","properties":{"job_title":{"type":"string"},"state":{"type":"string","description":"Two-letter state code"},"industry":{"type":"string"}},"required":["job_title"]}},{"name":"get_saas_metrics_benchmark","description":"Use when assessing SaaS company financial health, preparing investor reporting, or benchmarking KPIs before a fundraise or board presentation. Returns Rule of 40, burn multiple, CAC payback, NRR, gross margin, and ARR growth targets by ARR band. Example: $10-50M ARR benchmark — Rule of 40 median 28, NRR median 108%, CAC payback 18 months — companies below median Rule of 40 face 2-3x valuation compression in current market. Source: Stratalize SaaS benchmark tables.","inputSchema":{"type":"object","properties":{"arr_usd":{"type":"number","description":"Annual recurring revenue in USD"}},"required":["arr_usd"]}},{"name":"get_cac_benchmark","description":"Use when evaluating sales and marketing efficiency, setting CAC targets, or benchmarking GTM performance before a board review. Returns CAC payback ranges, LTV/CAC guardrails, and channel efficiency benchmarks by industry and GTM motion. Example: Mid-market SaaS with field sales — median CAC payback 22 months, LTV/CAC 3.8x — organizations above 30-month payback face capital efficiency pressure from investors. Source: Stratalize go-to-market composite.","inputSchema":{"type":"object","properties":{"industry":{"type":"string"},"gtm_motion":{"type":"string","description":"sales_led, product_led, or channel"},"ltv_usd":{"type":"number","description":"Optional: LTV for LTV:CAC ratio calc"}},"required":["industry"]}},{"name":"get_pharmacy_spend_benchmark","description":"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, 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: CMS cost report composite and 340B Health public data.","inputSchema":{"type":"object","properties":{"annual_pharmacy_spend":{"type":"number"},"bed_size":{"type":"number"},"annual_patient_days":{"type":"number"},"state":{"type":"string"},"enrolled_340b":{"type":"boolean"}}}},{"name":"get_billing_coding_risk","description":"Use when assessing coding compliance risk before an OIG audit, preparing for a RAC review, or building a revenue integrity program. Returns E/M distribution benchmarks, upcoding risk signals, OIG audit priority themes, and RAC watchlist. Example: Cardiology practice E/M mix at 67% level 4/5 visits vs 48% national benchmark — flagged HIGH upcoding risk — OIG cardiology audit focus active in 2024-2025 cycle. Source: CMS and OIG compliance composite.","inputSchema":{"type":"object","properties":{"specialty":{"type":"string"},"level_4_5_percentage":{"type":"number","description":"Percentage of E/M claims at level 4 or 5"},"annual_claim_volume":{"type":"number"}}}},{"name":"get_value_based_care_performance","description":"Use when benchmarking VBC contract performance, assessing FFS-to-VBC transition readiness, or preparing a population health strategy presentation. Returns MSSP ACO savings rates, BPCI episode costs, and MIPS quality signal medians. Example: MSSP Track 1 ACOs generating median 2.3% savings above benchmark — top quartile at 4.8% — organizations below 1.5% savings face program exit risk. Source: CMS VBC program data composite.","inputSchema":{"type":"object","properties":{"program_type":{"type":"string","enum":["mssp","bpci","mips","apm","direct_contracting"]},"current_vbc_revenue_pct":{"type":"number","description":"Percentage of revenue from value-based contracts"},"specialty":{"type":"string"},"bed_size":{"type":"number"}}}},{"name":"get_ehr_cost_per_bed","description":"Use when benchmarking EHR maintenance costs before a contract renewal or evaluating health IT budget efficiency. Returns benchmark cost per licensed bed with optional gap analysis when actual cost and bed count are provided. Example: Epic maintenance median $4,500/bed — 300-bed hospital at $6,200/bed is 38% above market — renegotiation trigger especially strong at 5+ year renewal cycles. Source: KLAS 2024, Kaufman Hall EHR TCO composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"},"bed_count":{"type":"number"},"annual_cost":{"type":"number"}},"required":["vendor_name"]}},{"name":"get_healthcare_vendor_market_rate","description":"Use when benchmarking a healthcare vendor quote or preparing a supply chain contract negotiation. Returns market rates for EHR, staffing, food service, waste management, and med-surg by facility type. Example: Healthcare food service median $18.40/patient day for acute care — facilities above $22/patient day are 20% above market — GPO competitive rebid typically recovers 8-12%. Source: CMS and Stratalize healthcare vendor composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"},"category":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_staffing_agency_markup_analysis","description":"Use when evaluating staffing agency pricing or negotiating a travel nurse or locum contract. Returns median markup percentage with low/high band by agency and specialty type. Example: AMN Healthcare median markup 40%, Cross Country 37%, Aya 38% — ICU and OR specialties carry 5-8% premium — agencies billing above 45% markup are 12-18% above market. Source: Stratalize SIA 2024-style composite.","inputSchema":{"type":"object","properties":{"agency_name":{"type":"string"},"specialty":{"type":"string"}}}},{"name":"get_gpo_contract_benchmark","description":"Use when benchmarking GPO contract performance or building a supply chain cost reduction case for a hospital board. Returns typical GPO savings percentage, leakage rate, and top savings categories. Example: Acute care GPO median savings 18% vs non-contract pricing — leakage rate 22% means 1-in-5 purchases bypass contract — leakage above 30% triggers mandatory compliance programs at most health systems. Source: HFMA and CMS composite.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}}}},{"name":"get_physician_group_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"specialty":{"type":"string"},"state":{"type":"string"}},"required":["specialty"]}},{"name":"get_hospital_supply_chain_benchmark","description":"Use when benchmarking hospital supply chain efficiency against CMS peer cohort or building a materials management cost reduction case. Returns supply cost as percentage of operating expense at p25/p50/p75 by bed size and state. Example: 200-bed community hospital — supply cost 19.4% of operating expense vs 16.8% peer median — closing the gap to median recovers $2.6M annually at $130M operating budget. Source: CMS HCRIS cost reports.","inputSchema":{"type":"object","properties":{"bed_size":{"type":"number"},"state":{"type":"string"}},"required":["bed_size"]}},{"name":"get_asc_benchmark","description":"Use when benchmarking ASC financial performance, evaluating an ASC acquisition, or preparing an administrator board report. Returns cost per case medians and revenue mix percentages by specialty. Example: Orthopedic ASC cost per case median $4,200 — facilities above $5,100 are in the bottom cost quartile — orthopedic mix at 60% of cases maximizes margin vs ophthalmology-heavy mix. Source: ASCA and CMS 2024 composite.","inputSchema":{"type":"object","properties":{"specialty":{"type":"string"},"state":{"type":"string"}}}},{"name":"get_healthcare_category_intelligence","description":"Use when researching which vendors dominate AI recommendations in a healthcare technology category or validating a health IT vendor selection. Returns top recommended vendors, AI consensus narrative, and sample size from healthcare-specific citation analysis. Example: EHR category — Epic leads at 67% AI citation share, Oracle Health 18%, MEDITECH 9% — consensus near-universal for large health systems, fragmenting below 200 beds. Source: Stratalize AI citation composite.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_market_intelligence_brief","description":"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.","inputSchema":{"type":"object","properties":{"industry":{"type":"string"},"topic":{"type":"string"}},"required":["industry"]}},{"name":"get_industry_spend_benchmark","description":"Use when validating total IT spend against industry peers or building a software budget baseline for a CFO board presentation. Returns median monthly total software stack spend, category breakdown, and productivity tool medians by industry. Example: Mid-market healthcare org — median total SaaS spend $18,500/mo, EHR and clinical tools 41% of stack, productivity suite $2,800/mo — organizations above $26,000/mo are consolidation candidates. Source: Stratalize industry composite.","inputSchema":{"type":"object","properties":{"industry":{"type":"string"},"company_size":{"type":"string"}},"required":["industry"]}},{"name":"get_category_disruption_signal","description":"Use when assessing whether a software category faces near-term displacement risk, or timing a market entry or exit decision. Returns disruption risk score from 0 to 1 with evidence strings from citation volume patterns. Example: ERP category — disruption risk score 0.71, evidence: 34 citations referencing AI-native alternatives, 12 referencing no-code replacements — HIGH disruption risk for legacy on-premise vendors. Source: Stratalize citation volume heuristics.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_competitive_displacement_signal","description":"Use when tracking competitive threats to an incumbent vendor or identifying switching trends in a software category. Returns vendors mentioned as replacements for a target vendor with switch narrative and mention counts. Example: Salesforce displacement — HubSpot replacing in SMB at 28 mentions, Dynamics replacing in enterprise at 19 — highest displacement pressure in mid-market 100-500 employees. Source: Stratalize citation displacement composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_vendor_risk_signal","description":"Use when screening a vendor for financial instability or procurement risk before a long-term contract commitment. Returns a risk score from 0 to 1 with risk indicators and negative mention evidence. Example: Vendor X scores 0.72 risk — indicators: customer churn citations, pricing disputes, product roadmap uncertainty — HIGH risk classification, recommend short-term contract only. Source: Stratalize citation risk composite.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_market_structure_signal","description":"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.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_sector_ai_intelligence","description":"Use when producing equity research, tracking brand share in AI sector coverage, or benchmarking a company AI visibility against sector peers. Returns top brands by AI mention share, sector trend narrative, and themed bullets for any equity sector. Example: Financials sector — JPMorgan leads at 34% citation share, Goldman 22%, BlackRock 18% — narrative focused on digital transformation and cost efficiency. Source: Stratalize AI citation composite.","inputSchema":{"type":"object","properties":{"sector":{"type":"string"}},"required":["sector"]}},{"name":"get_fomc_rate_probability","description":"Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed.","inputSchema":{"type":"object","properties":{}}},{"name":"get_saas_market_intelligence","description":"Use when assessing a SaaS category investment thesis, competitive dynamics, or market momentum before a strategic decision. Returns growth signal, AI citation leaders, and disruption risk for any software category. Example: CRM category — GROWING signal, Salesforce leads at 42% citation share, HubSpot gaining 8% share year-over-year, disruption risk MODERATE from AI-native CRMs — signals consolidation pressure on mid-tier vendors. Source: Stratalize market intelligence composite.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_investment_category_signal","description":"Use when evaluating VC software category attractiveness or assessing portfolio category exposure before an investment decision. Returns growth signal, top brands, and citation evidence for any software category. Example: AI infrastructure category — GROWTH signal, top brands Nvidia 67% citation share, Anthropic 18%, xAI 9% — accelerating citation growth signals sustained investment thesis. Source: Stratalize citation heuristics.","inputSchema":{"type":"object","properties":{"category":{"type":"string"}},"required":["category"]}},{"name":"get_portfolio_vendor_intelligence","description":"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.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"}},"required":["vendor_name"]}},{"name":"get_company_salary_disclosure","description":"Use when benchmarking compensation against disclosed employer wages or assessing H-1B wage practices before a talent acquisition or competitive hire. Returns DOL LCA and H-1B wage aggregates by employer, job title, state, and fiscal year. Example: Microsoft H-1B software engineer — prevailing wage Level III $178K in Seattle, Level IV $215K — 847 certified positions in 2023, concentrated in Washington and California. Source: DOL Office of Foreign Labor Certification public filings.","inputSchema":{"type":"object","properties":{"company_name":{"type":"string"},"job_title":{"type":"string"},"state":{"type":"string"},"fiscal_year":{"type":"number"}},"required":["company_name"]}},{"name":"get_federal_contract_intelligence","description":"Use when researching a company federal revenue concentration, identifying government contract competitors, or assessing vendor dependency on federal business. Returns contract obligation data by vendor, agency, NAICS code, and fiscal year from USASpending. Example: Acme IT Services — $847M federal obligations FY2023, 67% from DoD, 3 agencies representing 89% of revenue — high concentration risk for supply chain or M&A due diligence. Source: USASpending.gov synced data.","inputSchema":{"type":"object","properties":{"vendor_name":{"type":"string"},"agency_name":{"type":"string"},"naics_code":{"type":"string"},"fiscal_year":{"type":"number"},"state":{"type":"string","description":"Two-letter state code for place of performance (e.g. PA, IL)."}},"required":["vendor_name"]}},{"name":"get_workplace_safety_benchmark","description":"OSHA injury and illness rate benchmarks by company, industry, NAICS code, and state. Industry composite benchmarks available immediately with no sync required — establishment-specific data enabled when OSHA sync is connected. Covers injury rates, top-quartile performance, and EMR context for insurance, bonding, and public contract prequalification.","inputSchema":{"type":"object","properties":{"company_or_industry":{"type":"string"},"naics_code":{"type":"string"},"state":{"type":"string"}},"required":["company_or_industry"]}},{"name":"get_cfpb_complaint_intelligence","description":"Use when assessing consumer finance risk, benchmarking complaint volume against peers, or conducting pre-acquisition due diligence on a financial institution. Returns CFPB complaint rollups by company and product — volume, issue themes, and response rate trends. Example: Regional Bank X — 847 CFPB complaints in 2023, 34% on mortgage servicing, complaint volume 2.3x peer median — elevated consumer protection risk signal. Source: CFPB Consumer Complaint Database synced data.","inputSchema":{"type":"object","properties":{"company_name":{"type":"string"},"product":{"type":"string"}},"required":["company_name"]}},{"name":"get_provider_market_intelligence","description":"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.","inputSchema":{"type":"object","properties":{"specialty":{"type":"string"},"state":{"type":"string"},"city":{"type":"string"}},"required":["specialty","state"]}},{"name":"get_public_company_financials","description":"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.","inputSchema":{"type":"object","properties":{"company_name":{"type":"string"}},"required":["company_name"]}},{"name":"get_cms_open_payments_profile","description":"Use when assessing physician payment transparency risk, evaluating manufacturer relationships, or preparing Sunshine Act compliance reporting. Returns CMS Open Payments aggregates by physician or manufacturer — payment amounts, types, and program year breakdown. Example: Dr. Smith — $847K general payments from 3 manufacturers in 2022, 67% from one device company in consulting fees — concentration above $100K triggers enhanced compliance review. Source: CMS Open Payments Sunshine Act database.","inputSchema":{"type":"object","properties":{"recipient_name":{"type":"string"},"program_year":{"type":"number"},"manufacturer_name":{"type":"string"}},"required":["recipient_name"]}},{"name":"get_uspto_patent_intelligence","description":"Use when assessing a company IP portfolio strength, tracking competitor patent activity, or preparing M&A patent due diligence. Returns USPTO filing rollups by assignee — patent counts, filing years, and CPC classification. Example: Qualcomm — 47,000+ active patents, 3,200 filed in 2023, concentrated in 5G and AI/ML — top 3 CPC codes represent 61% of portfolio — IP moat assessment critical for semiconductor M&A. Source: USPTO PatentsView synced data.","inputSchema":{"type":"object","properties":{"assignee_name":{"type":"string"},"patent_year":{"type":"number"}},"required":["assignee_name"]}},{"name":"get_github_ecosystem_intelligence","description":"Use when assessing a technology vendor open-source presence, evaluating developer community strength, or researching a company GitHub footprint before a technical due diligence. Returns organization profile and top repository stats — stars, forks, contributors, and language breakdown. Example: HashiCorp GitHub — 18 public repos, Terraform at 38,000 stars, 147,000 forks, 2,800 contributors — strong community signal supporting enterprise adoption thesis. Source: GitHub public API.","inputSchema":{"type":"object","properties":{"org_or_company":{"type":"string"}},"required":["org_or_company"]},"rate_limit_note":"Unauthenticated GitHub API — 60 requests/hr. Requires exact org slug (e.g. 'microsoft'), not display name."},{"name":"get_imf_weo_macro_snapshot","description":"Use when providing global macro context for an international expansion brief, country risk assessment, or board-level economic outlook presentation. Returns IMF WEO macro composites — GDP growth, inflation, and current account balance by country group. Example: Emerging market composite — GDP growth 4.2% vs advanced economy 1.7%, inflation diverging at 7.8% — growth premium exists but requires currency and political risk premium in discount rate. Source: IMF WEO static composite, semi-annual update.","inputSchema":{"type":"object","properties":{}}},{"name":"get_eia_energy_public_snapshot","description":"Use when current energy price data is needed for a commodity brief, input cost analysis, or energy sector context in a CFO or investment brief. Returns WTI crude and natural gas spot prices when EIA API is configured. Example: WTI crude $78.40/bbl, natural gas $2.31/MMBtu — energy input costs 12% below year-ago levels, favorable for manufacturing and transportation operating margins. Source: US Energy Information Administration.","inputSchema":{"type":"object","properties":{}}},{"name":"get_brand_momentum","description":"4-week brand momentum score — citation trend direction and week-over-week movement for any vendor in AI platform responses. Source: Stratalize brand index. Use when monitoring brand trajectory in AI recommendations or tracking competitor momentum. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"brand_name":{"type":"string","description":"Brand name to look up"}},"required":["brand_name"]}},{"name":"get_working_capital_benchmark","description":"Use when benchmarking working capital efficiency or preparing a CFO cash management brief. Working capital benchmarks — DSO, DPO, DIO, and cash conversion cycle (CCC) by industry and company size. Source: Hackett Group annual survey and BLS composite. CFO and treasury benchmark for lender covenant prep and cash flow optimization.","inputSchema":{"type":"object","properties":{"industry":{"type":"string","enum":["saas","healthcare","legal","manufacturing","retail","financial_services"]},"company_size":{"type":"string","enum":["small","mid_market","large_enterprise"]}},"required":["industry"]}},{"name":"get_wacc_benchmark","description":"Use when valuing a business, setting hurdle rates, or benchmarking discount rates for M&A analysis or capital allocation. WACC benchmarks by sector and market cap tier from Damodaran annual dataset — used for DCF valuation, M&A pricing, board approval, and capital allocation. The most cited public finance benchmark. Updated January annually.","inputSchema":{"type":"object","properties":{"sector":{"type":"string","enum":["technology","healthcare","financial_services","consumer_staples","energy","industrials","real_estate","utilities","materials","telecom"]},"market_cap_tier":{"type":"string","enum":["micro","small","mid","large","mega"]}},"required":["sector"]}},{"name":"get_public_market_multiples","description":"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.","inputSchema":{"type":"object","properties":{"sector":{"type":"string","enum":["technology","healthcare","financial_services","consumer_staples","energy","industrials","real_estate","utilities","materials","telecom"]},"context":{"type":"string","enum":["acquisition","ipo","fundraising","board_prep","general"]}},"required":["sector"]}},{"name":"get_ma_multiples_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"industry":{"type":"string","enum":["technology","healthcare","financial_services","manufacturing","retail","energy","consumer_staples","industrials","real_estate","materials","telecom","legal_services"]},"deal_size_tier":{"type":"string","enum":["under_50m","50m_250m","250m_1b","over_1b"]}},"required":["industry"]}},{"name":"get_corporate_debt_benchmark","description":"Use when assessing a company debt capacity, benchmarking leverage against sector peers, or preparing a refinancing or credit rating discussion. Corporate leverage and debt benchmarks — Net Debt/EBITDA, interest coverage, and debt maturity profiles by credit rating tier and industry. Source: S&P Capital IQ public aggregates and Damodaran. Used by CFOs and treasurers for refinancing, covenant setting, and credit rating management.","inputSchema":{"type":"object","properties":{"industry":{"type":"string"},"credit_rating_tier":{"type":"string","enum":["investment_grade","bb","b","ccc_and_below","unrated"]}},"required":["industry"]}},{"name":"get_audit_fee_benchmark","description":"Use when benchmarking audit costs, evaluating auditor proposals, or preparing an audit committee RFP. Audit fee benchmarks — total fees and fees as a percentage of revenue by company revenue band and auditor tier (Big 4 vs national vs regional). Source: Audit Analytics public aggregate data. Used by CFOs and audit committees in auditor RFPs and fee negotiations.","inputSchema":{"type":"object","properties":{"annual_revenue_usd":{"type":"number"},"auditor_tier":{"type":"string","enum":["big4","national","regional"]},"industry":{"type":"string"}},"required":["annual_revenue_usd"]}},{"name":"get_pe_return_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"strategy":{"type":"string","enum":["buyout","growth_equity","venture_capital","real_estate_pe","credit"]},"vintage_year":{"type":"number"}},"required":["strategy"]}},{"name":"get_venture_benchmark","description":"Venture capital round benchmarks — pre-money valuation, round size, dilution, and option pool standards by stage and sector. Source: Carta State of Private Markets quarterly. Used by founders, VC CFOs, and early-stage investors for round pricing and cap table modeling.","inputSchema":{"type":"object","properties":{"stage":{"type":"string","enum":["pre_seed","seed","series_a","series_b","series_c"]},"sector":{"type":"string","enum":["saas","fintech","healthcare_tech","consumer","deep_tech","marketplace"]}},"required":["stage"]}},{"name":"get_bank_regulatory_benchmark","description":"Bank regulatory capital and financial performance benchmarks — CET1, Tier 1 leverage, NIM, efficiency ratio, charge-off rates, and loan-to-deposit ratio by asset size tier. Source: FDIC call report public aggregates. For bank CFOs, risk officers, and bank analysts.","inputSchema":{"type":"object","properties":{"asset_size_tier":{"type":"string","enum":["community_under_1b","regional_1b_10b","large_regional_10b_100b","money_center_over_100b"]},"bank_type":{"type":"string","enum":["commercial","savings","cooperative"]}},"required":["asset_size_tier"]}},{"name":"get_aml_regulatory_benchmark","description":"Use when a compliance agent or bank risk officer needs AML enforcement benchmarks. Returns FinCEN SAR filing rates, OFAC SDN counts, BSA enforcement fine history, travel rule thresholds, and compliance staffing benchmarks. Source: FinCEN + OFAC public data. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"institution_type":{"type":"string","enum":["bank","crypto_exchange","money_services","all"]},"focus":{"type":"string","enum":["enforcement","sar_filing","ofac","all"]}}}},{"name":"get_climate_risk_benchmark","description":"Use when a lender or ESG agent needs physical and transition climate risk benchmarks. Returns flood, hurricane, wildfire, heat risk data, carbon pricing scenarios, and stranded asset exposure. Source: FEMA NFIP + NGFS scenarios. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"property_type":{"type":"string","enum":["commercial","residential","industrial","all"]},"risk_type":{"type":"string","enum":["physical","transition","all"]},"region":{"type":"string","enum":["southeast","northeast","midwest","southwest","west","national"]}}}},{"name":"get_esg_benchmark","description":"Use when a sustainability agent or ESG analyst needs sector carbon and governance benchmarks. Returns Scope 1/2 intensity, net zero commitments, SBTi alignment, board independence, pay equity, and ESG composite scores by sector. Source: EPA GHGRP + MSCI. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"sector":{"type":"string","enum":["technology","energy","financial_services","healthcare","manufacturing","all"]},"focus":{"type":"string","enum":["carbon","social","governance","all"]}}}},{"name":"get_insurance_benchmark","description":"Insurance financial performance benchmarks — combined ratio, loss ratio, expense ratio, and reserve adequacy by line of business. Source: NAIC annual statistical report. For insurance CFOs, actuaries, and analysts reviewing underwriting performance.","inputSchema":{"type":"object","properties":{"line_of_business":{"type":"string","enum":["property_casualty","commercial_liability","workers_comp","auto","homeowners","life","health","specialty"]},"company_size":{"type":"string","enum":["small","mid_size","large"]}},"required":["line_of_business"]}},{"name":"get_cap_rate_benchmark","description":"Commercial real estate cap rate benchmarks by asset class, market tier, and geography. Source: CBRE and JLL quarterly cap rate surveys. Used by CRE acquisition teams, asset managers, and real estate CFOs for property pricing and portfolio valuation.","inputSchema":{"type":"object","properties":{"asset_class":{"type":"string","enum":["multifamily","industrial","office","retail_strip","retail_mall","hospitality","self_storage","senior_housing"]},"market_tier":{"type":"string","enum":["gateway","secondary","tertiary"]},"region":{"type":"string","enum":["northeast","southeast","midwest","southwest","west"]}},"required":["asset_class"]}},{"name":"get_cre_debt_benchmark","description":"Commercial real estate debt benchmarks — DSCR minimums, LTV maximums, and spread ranges by property type and lender type (bank, agency, CMBS, life company). Source: MBA CREF databook and Trepp public data. For CRE CFOs and capital markets teams structuring financings.","inputSchema":{"type":"object","properties":{"property_type":{"type":"string","enum":["multifamily","industrial","office","retail_strip","retail_mall","hospitality","self_storage","senior_housing"]},"lender_type":{"type":"string","enum":["bank","agency_fannie_freddie","cmbs","life_company","debt_fund","bridge"]}},"required":["property_type"]}},{"name":"get_credit_union_benchmark","description":"Credit union financial performance benchmarks — capital ratios, net interest margin, loan growth, and delinquency rates by asset size. Source: NCUA quarterly call report public data. For credit union CFOs preparing for NCUA exams and board reporting.","inputSchema":{"type":"object","properties":{"asset_size_tier":{"type":"string","enum":["under_100m","100m_500m","500m_1b","over_1b"]},"charter_type":{"type":"string","enum":["federal","state"]}},"required":["asset_size_tier"]}},{"name":"get_earnings_quality_benchmark","description":"Earnings quality and financial statement risk benchmarks — accruals ratio, cash conversion, and revenue recognition risk by sector. Source: SEC EDGAR aggregate + Sloan accruals model (academic standard). For CFOs, auditors, and analysts assessing financial reporting risk before M&A or investment.","inputSchema":{"type":"object","properties":{"sector":{"type":"string","enum":["technology","healthcare","financial_services","consumer_staples","energy","industrials","real_estate","utilities","materials","telecom"]},"revenue_recognition_model":{"type":"string","enum":["subscription","project_based","product_sales","financial_services","mixed"]}},"required":["sector"]}},{"name":"get_fx_rate_benchmark","description":"Live major currency pair benchmarks — USD/EUR, USD/JPY, USD/GBP, USD/CNY, USD/CAD, USD/MXN, DXY broad TWI, carry trade spread, and weekly/monthly/YTD rate change. Source: FRED. Updated daily. 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).","inputSchema":{"type":"object","properties":{"base_currency":{"type":"string","enum":["USD","EUR","GBP"]}}}},{"name":"get_credit_spread_benchmark","description":"Live investment grade and high yield credit spread benchmarks from FRED ICE BofA indices — OAS by rating tier, TED spread, 2s10s Treasury spread, and distress signal. Updates daily. For credit analysts and fixed income PMs. 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).","inputSchema":{"type":"object","properties":{"rating_tier":{"type":"string","enum":["all","ig","hy","bbb"]}}}},{"name":"get_commodity_benchmark","description":"Live commodity price benchmarks — WTI crude, natural gas, gold, copper, wheat, soybeans. Weekly and monthly price changes, inflation pressure signal. Source: FRED. Updated daily. For traders and macro analysts. 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).","inputSchema":{"type":"object","properties":{"category":{"type":"string","enum":["energy","metals","agriculture","all"]}}}},{"name":"get_yield_curve_benchmark","description":"Live US Treasury yield curve — 1M through 30Y yields with daily and weekly basis point changes, 2s10s and 2s30s spreads, inversion signal, SOFR, and curve shape classification. Source: FRED. 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).","inputSchema":{"type":"object","properties":{"tenor":{"type":"string","enum":["2y","10y","30y","all"]}}}},{"name":"get_gas_benchmark","description":"Live gas price benchmarks for Ethereum, Base, and Solana. Returns Gwei, USD cost per transfer type, congestion category, and x402 agent economy context. Base vs ETH savings comparison. Source: public chain RPCs. Zero API key required. | 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).","inputSchema":{"type":"object","properties":{"chain":{"type":"string","enum":["ethereum","base","solana","all"]}}}},{"name":"get_labor_market_benchmark","description":"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).","inputSchema":{"type":"object","properties":{"focus":{"type":"string","enum":["employment","wages","openings","all"]}}}},{"name":"get_inflation_benchmark","description":"Live inflation benchmarks from FRED — CPI, core CPI, PCE, core PCE, 5Y and 10Y TIPS breakeven expectations, shelter and medical care components. Fed target gap, anchoring signal, and policy implication for macro 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).","inputSchema":{"type":"object","properties":{"measure":{"type":"string","enum":["cpi","pce","breakeven","components","all"]}}}},{"name":"get_consumer_sentiment_benchmark","description":"Live consumer sentiment benchmarks from FRED — University of Michigan sentiment, Conference Board confidence, retail sales, PCE, personal saving rate. Strong/moderate/weak consumer signal for GDP and equity 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).","inputSchema":{"type":"object","properties":{"focus":{"type":"string","enum":["sentiment","spending","saving","all"]}}}},{"name":"get_global_equity_benchmark","description":"Global equity index benchmarks — S&P 500, Nasdaq, Russell 2000, Stoxx 600, DAX, FTSE 100, Nikkei 225, Hang Seng, Shanghai Composite, MSCI EM. YTD returns, P/E ratios, and risk-on/risk-off global signal. 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).","inputSchema":{"type":"object","properties":{"region":{"type":"string","enum":["us","europe","asia","emerging","all"]}}}},{"name":"get_crypto_correlation_benchmark","description":"30-day rolling correlation matrix for BTC, ETH, and SOL — Pearson correlation pairs, beta to BTC, dominance context, and portfolio diversification signal. Source: DeFiLlama historical prices. For crypto portfolio 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).","inputSchema":{"type":"object","properties":{"period":{"type":"string","enum":["7d","30d","90d"]}}}},{"name":"get_options_iv_benchmark","description":"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).","inputSchema":{"type":"object","properties":{"asset":{"type":"string","enum":["BTC","ETH","all"]}}}},{"name":"get_chain_tvl_benchmark","description":"Use when a DeFi agent or analyst needs cross-chain capital deployment context. Returns TVL rankings for 50+ chains with 1D and 7D change, protocol counts, and Ethereum dominance. Source: DeFiLlama live. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"sort_by":{"type":"string","enum":["tvl","change_1d","change_7d"]},"limit":{"type":"number","minimum":1,"maximum":50}}}},{"name":"get_dao_treasury_benchmark","description":"Use when a DAO contributor or Web3 analyst needs treasury health benchmarks. Returns top DAOs by treasury size, stablecoin percentage, runway, and governance token concentration. Example: median $550M treasury, 61% stablecoin, 48-month runway. Source: DeepDAO. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"min_treasury_usd":{"type":"number"},"sort_by":{"type":"string","enum":["treasury","stablecoin_pct"]}}}},{"name":"get_defi_yield_benchmark","description":"Use when a DeFi agent or treasury manager needs current lending yield benchmarks. Returns top pools by APY with p25/p50/p75 bands, TVL, chain, and pool ID for stablecoins. Example: USDC Morpho-Blue leading at 8.4% APY. Source: DeFiLlama live. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"protocol":{"type":"string"},"asset":{"type":"string"}}}},{"name":"get_rwa_benchmark","description":"Use when a tokenization agent or institutional investor needs RWA market benchmarks. Returns tokenized T-bill yields from Ondo, BUIDL, Franklin Templeton, RWA TVL by category, YoY growth. Example: $12.8B total market. Source: DeFiLlama. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"category":{"type":"string","enum":["treasuries","real_estate","credit","all"]}}}},{"name":"get_stablecoin_yield_benchmark","description":"Use when a crypto treasury agent needs stablecoin lending rate benchmarks. Returns USDC/USDT/DAI supply APY across Aave, Compound, Morpho, Spark by chain with spread vs 3-month T-bill. Source: DeFiLlama + FRED. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.","inputSchema":{"type":"object","properties":{"asset":{"type":"string","enum":["USDC","USDT","DAI","all"]}}}},{"name":"get_mortgage_market_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"loan_type":{"type":"string","enum":["conventional","fha","va","jumbo"]},"state":{"type":"string"}}}},{"name":"get_residential_market_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"market_tier":{"type":"string","enum":["national","gateway_metro","secondary_metro","tertiary"]},"property_type":{"type":"string","enum":["single_family","condo","townhome"]}}}},{"name":"get_housing_supply_benchmark","description":"Live housing supply indicators — starts, permits, completions, and absorption by market tier from FRED and Census. Leading indicator for housing prices 6-12 months ahead. For developers, lenders, investors, and housing policy analysts.","inputSchema":{"type":"object","properties":{"region":{"type":"string","enum":["national","northeast","south","midwest","west"]},"structure_type":{"type":"string","enum":["single_family","multifamily","all"]}}}},{"name":"get_rental_market_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"market_tier":{"type":"string","enum":["national","gateway","secondary","sunbelt"]},"unit_type":{"type":"string","enum":["studio","one_bed","two_bed","three_bed"]}}}},{"name":"get_hud_fair_market_rent","description":"HUD Fair Market Rents by metro area and bedroom count. Used for affordable housing underwriting, Section 8 Housing Choice Voucher compliance, LIHTC income limit calculations, and housing authority budgeting. Source: HUD annual FMR dataset. Free.","inputSchema":{"type":"object","properties":{"metro_area":{"type":"string"},"bedroom_count":{"type":"number","minimum":0,"maximum":4}},"required":["metro_area"]}},{"name":"get_construction_cost_benchmark","description":"Construction cost benchmarks — hard cost per SF by building type and region, soft cost ratios, contingency standards, and live material cost escalation signals. Sources: NAHB, Turner Building Cost Index, RSMeans composites. For developers, lenders, and project owners.","inputSchema":{"type":"object","properties":{"building_type":{"type":"string","enum":["single_family","multifamily_wood_frame","multifamily_concrete","office_class_a","office_class_b","industrial_warehouse","retail_strip","medical_office","hotel","self_storage"]},"region":{"type":"string","enum":["national","northeast","southeast","midwest","southwest","west_coast"]},"construction_class":{"type":"string","enum":["A","B","C"]}},"required":["building_type"]}},{"name":"get_development_pro_forma_benchmark","description":"Development pro forma benchmarks — yield on cost, profit-on-cost, construction-to-perm spread, and return hurdles by product type. For developers underwriting new projects and lenders sizing construction loans. Sources: NAHB, ULI, industry composite.","inputSchema":{"type":"object","properties":{"product_type":{"type":"string","enum":["multifamily_market_rate","multifamily_affordable","single_family_build_to_rent","industrial","office","retail","mixed_use","self_storage"]},"market_tier":{"type":"string","enum":["gateway","secondary","tertiary"]}},"required":["product_type"]}},{"name":"get_reit_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"property_sector":{"type":"string","enum":["all_equity","multifamily","industrial","office","retail","net_lease","self_storage","healthcare","data_center","hotel","diversified"]}},"required":["property_sector"]}},{"name":"get_property_operating_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"property_type":{"type":"string","enum":["office_class_a","office_class_b","industrial","multifamily","retail_strip","retail_regional_mall","self_storage","hotel"]},"market_tier":{"type":"string","enum":["gateway","secondary","tertiary"]}},"required":["property_type"]}},{"name":"get_property_tax_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"state":{"type":"string","minLength":2,"maxLength":2},"property_type":{"type":"string","enum":["commercial","residential","industrial","multifamily"]}},"required":["state"]}},{"name":"get_ncreif_return_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"property_type":{"type":"string","enum":["all_property","office","industrial","retail","apartment","hotel"]},"region":{"type":"string","enum":["national","east","midwest","south","west"]},"period":{"type":"string","enum":["1y","3y","5y","10y"]}}}},{"name":"get_real_estate_debt_stress_benchmark","description":"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.","inputSchema":{"type":"object","properties":{"property_type":{"type":"string","enum":["all_cre","office","retail","multifamily","hotel","industrial"]},"scenario":{"type":"string","enum":["base","stress","severe_stress"]}}}},{"name":"governance_session_init","description":"Creates a governed session by validating credentials, binding context to an active intelligence profile, issuing a cryptographic token, and writing immutable session-init evidence. Example: regulator-observed workflow establishes a signed session envelope before any sensitive tool call. Requires authenticated governance access and valid API key.","inputSchema":{"type":"object","properties":{"session_id":{"type":"string"},"client_identifier":{"type":"string"},"user_api_key":{"type":"string"}},"required":["session_id","client_identifier","user_api_key"]}},{"name":"governance_session_close","description":"Closes a governed session by validating the attestation token, persisting interaction metrics, and returning a signed closure hash for independent verification. Example: examination workflow finalizes a session and archives tamper-evident summary artifacts for audit review. Requires valid session token and governance privileges.","inputSchema":{"type":"object","properties":{"session_id":{"type":"string"},"session_attestation_token":{"type":"string"},"interaction_count":{"type":"number"},"refusal_count":{"type":"number"}},"required":["session_id","session_attestation_token","interaction_count","refusal_count"]}},{"name":"get_governance_health_score","description":"Returns a composite AI governance health score with weighted component breakdowns, control coverage context, and examination-readiness indicators for oversight reporting. Example: board packet highlights low lineage coverage as the primary drag on governance maturity. Requires authenticated org context and governance read permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{}}},{"name":"create_agent","description":"Creates and deploys a governed AI agent with trigger configuration, action sequence, and policy controls, then returns agent id, execution summary, and dashboard link metadata. Example: finance monitoring agent is deployed with threshold trigger and approval routing in one call. Requires authenticated org context and write:agents scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"name":{"type":"string","description":"Agent display name"},"description":{"type":"string","description":"What this agent does"},"business_justification":{"type":"string","description":"Why this agent exists"},"trigger":{"anyOf":[{"type":"object","properties":{"type":{"type":"string","const":"manual"}},"required":["type"],"additionalProperties":false},{"type":"object","properties":{"type":{"type":"string","const":"scheduled"},"schedule_cron":{"type":"string","minLength":1},"schedule_description":{"type":"string"},"timezone":{"type":"string"}},"required":["type","schedule_cron"],"additionalProperties":false},{"type":"object","properties":{"type":{"type":"string","const":"threshold"},"metric":{"type":"string","minLength":1},"operator":{"type":"string","enum":["below","above","changes_by"]},"threshold_value":{"type":"number"},"integration":{"type":"string","minLength":1}},"required":["type","metric","operator","threshold_value","integration"],"additionalProperties":false},{"type":"object","properties":{"type":{"type":"string","const":"event"},"integration":{"type":"string","minLength":1},"event_type":{"type":"string","minLength":1},"filter_field":{"type":"string"},"filter_operator":{"type":"string","enum":["gt","lt","eq","contains"]},"filter_value":{"type":["string","number"]}},"required":["type","integration","event_type"],"additionalProperties":false},{"type":"object","properties":{"type":{"type":"string","const":"webhook"},"integration":{"type":"string"}},"required":["type"],"additionalProperties":false}]},"actions":{"type":"array","items":{"type":"object","properties":{"type":{"type":"string","enum":["read_synthesize","write_integration","notify","internal","webhook"]},"integration":{"type":"string"},"tool_name":{"type":"string"},"parameters":{"type":"object","additionalProperties":{}},"channel":{"type":"string","enum":["email","slack","dashboard","calendar_invite"]},"recipients":{"type":"array","items":{"type":"string"}},"template":{"type":"string"},"internal_action":{"type":"string","enum":["create_action_item","flag_vendor","generate_report","request_access_review"]},"url":{"type":"string"},"method":{"type":"string","enum":["GET","POST","PATCH"]},"headers":{"type":"object","additionalProperties":{"type":"string"}},"body_template":{"type":"string"},"requires_approval":{"type":"boolean"},"approval_threshold_tier":{"type":"string"},"on_failure":{"type":"string","enum":["retry","skip","stop","notify_admin"]},"max_retries":{"type":"number"}},"required":["type"],"additionalProperties":false},"minItems":1},"governance":{"type":"object","properties":{"allowed_roles":{"type":"array","items":{"type":"string"},"minItems":1},"max_sensitivity_tier":{"type":"string","minLength":1},"require_approval_above":{"type":"string","minLength":1},"business_hours_only":{"type":"boolean"},"auto_approve_below_tier":{"type":"boolean"},"requires_second_approver":{"type":"boolean"},"second_approver_id":{"type":"string"},"approver_pool":{"type":"string","enum":["role_match","specific_user","any_admin"]}},"required":["allowed_roles","max_sensitivity_tier","require_approval_above","business_hours_only","auto_approve_below_tier","requires_second_approver","approver_pool"],"additionalProperties":false},"deploy_immediately":{"type":"boolean","description":"false = draft for dashboard review; true = deploy immediately for low-sensitivity agents"}},"required":["name","description","business_justification","trigger","actions","governance","deploy_immediately"],"additionalProperties":false}},{"name":"update_agent","description":"Updates an existing governed agent definition by modifying trigger logic, action flow, or policy settings, and returns versioned change outcomes with audit evidence. Example: tighten approval thresholds and notification routing after a control review without losing historical traceability. Requires write:agents scope.","inputSchema":{"type":"object","properties":{"agent_id":{"type":"string","format":"uuid","description":"Agent definition UUID","requires_auth":true},"updates":{"type":"object","additionalProperties":{},"description":"Partial fields to merge into the agent definition and top-level row"}},"required":["agent_id","updates"],"additionalProperties":false}},{"name":"create_permission_set","description":"Creates a permission set defining roles, capability level, governance mode, and surface access, then returns assignment-ready metadata for identity administration. Example: compliance-admin profile is created with approval authority and restricted agent autonomy. Requires authenticated org context and administrative permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{"name":{"type":"string","description":"Display name"},"description":{"type":"string","description":"Optional description"},"capability_level":{"type":"string","enum":["admin","editor","viewer"]},"assigned_roles":{"type":"array","items":{"type":"string"},"minItems":1,"description":"Canonical executive role keys"},"surface_access":{"type":"array","items":{"type":"string"},"description":"Optional; defaults to [dashboard]"},"agent_governance_mode":{"type":"string","enum":["NOTIFY","APPROVAL_REQUIRED","RESTRICTED","AUTONOMOUS"]},"requires_mfa":{"type":"boolean","description":"Default false"},"can_approve":{"type":"boolean","description":"Default true"}},"required":["name","capability_level","assigned_roles","agent_governance_mode"],"additionalProperties":false}},{"name":"update_permission_set","description":"Updates an existing permission set by changing capability, role assignments, governance mode, or surface access, and applies changes immediately to assigned members with audit logging. Example: editor cohort is moved to stricter approval mode during a policy hardening cycle. Requires admin-level permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{"permission_set_id":{"type":"string","format":"uuid"},"updates":{"type":"object","additionalProperties":{},"description":"Any subset of: name, description, capability_level, assigned_roles, surface_access, agent_governance_mode, requires_mfa, can_approve, sso_group_mapping"}},"required":["permission_set_id","updates"],"additionalProperties":false}},{"name":"invite_org_member","description":"Creates a secure organization invitation with permission mapping and role context, returning a shareable invite artifact and assignment details for onboarding. Example: finance analyst receives a scoped invite linked to benchmark and spend workflows. Requires authenticated org context and member-management permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{"email":{"type":"string","description":"Valid email address"},"permission_set_id":{"type":"string","format":"uuid","description":"Optional permission set UUID"},"role":{"type":"string","enum":["admin","editor","viewer"],"description":"Default viewer"},"assigned_roles":{"type":"array","items":{"type":"string"},"description":"Optional canonical role keys"},"message":{"type":"string","description":"Optional personal note for the admin to share manually"}},"required":["email"],"additionalProperties":false}},{"name":"list_agent_templates","description":"Lists governed agent templates by industry and use case, including trigger patterns, action skeletons, and recommended control settings for fast deployment. Example: operations team selects a threshold-alert template and tailors recipients before launch. Requires authenticated org context and template-read access.","requires_auth":true,"inputSchema":{"type":"object","properties":{"industry":{"type":"string"},"use_case":{"type":"string"}},"additionalProperties":false}},{"name":"issue_agent_passport","description":"Issues an ML-DSA-65 signed agent passport with cryptographic identity, scoped authorization, and optional dual-dimension budget enforcement (x402 USDC + token USD). Returns passport ID, key fingerprint, and a one-time private key. CRITICAL: The private_key is returned once and never stored by Stratalize. Store it in a secrets manager immediately. Requires org admin and write:governance scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"agent_id":{"type":"string","description":"Unique agent slug; must match /^[a-z0-9-]+$/"},"display_name":{"type":"string","description":"Human-readable passport display name"},"description":{"type":"string","description":"Optional passport description"},"scope":{"type":"object","properties":{"tools":{"type":"array","items":{"type":"string"},"minItems":1},"data_sources":{"type":"array","items":{"type":"string"},"minItems":1},"sensitivity_ceiling":{"type":"integer","minimum":1,"maximum":5}},"required":["tools","data_sources","sensitivity_ceiling"],"additionalProperties":false},"expires_at":{"type":"string","description":"Optional ISO-8601 expiry; must be in the future"},"parent_passport_id":{"type":"string","format":"uuid","description":"Optional parent passport UUID for lineage"},"agent_signing_algorithm":{"type":"string","enum":["ML-DSA-65","Ed25519"],"description":"Agent signing algorithm (default ML-DSA-65)"},"budget":{"type":"object","properties":{"x402":{"type":"object","properties":{"limit_usdc":{"type":"number","minimum":0.01,"maximum":99999},"period":{"type":"string","enum":["daily","monthly","lifetime"]}},"required":["limit_usdc","period"],"additionalProperties":false},"token":{"type":"object","properties":{"limit_usd":{"type":"number","minimum":1,"maximum":999999},"period":{"type":"string","enum":["daily","monthly","lifetime"]}},"required":["limit_usd","period"],"additionalProperties":false}},"additionalProperties":false}},"required":["agent_id","display_name","scope"],"additionalProperties":false}},{"name":"revoke_passport","description":"Immediately revokes an ML-DSA-65 agent passport, blocking all future calls signed by this passport. Cascades to child passports when cascade=true. Writes an immutable revocation record to the attestation ledger. Cannot be undone — issue a new passport to restore access. CRITICAL: Cascade revocation affects all child agents immediately. Confirm passport_id before calling. Requires org admin and write:governance scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"passport_id":{"type":"string","format":"uuid","description":"UUID of the passport to revoke"},"reason":{"type":"string","minLength":10,"description":"Why the passport is being revoked; written to the attestation ledger"},"cascade":{"type":"boolean","description":"When true (default), revoke all child passports with this passport as parent_passport_id","default":true}},"required":["passport_id","reason"],"additionalProperties":false}},{"name":"get_agent_inventory","description":"Returns organization-wide agent inventory with governance mode, authorization posture, integration usage, approval behavior, and risk metadata for control oversight. Example: compliance review identifies inactive high-risk agents and remediation priorities from one inventory response. Requires governance read access.","requires_auth":true,"inputSchema":{"type":"object","properties":{"includeInactive":{"type":"boolean","description":"Include suspended agents."}}}},{"name":"get_compliance_coverage","description":"Returns control coverage across the configured framework with implemented, partial, roadmap, and at-risk counts by function for examination planning. Example: quarterly readiness report shows MANAGE controls lagging and prioritizes remediation sprints. Requires authenticated governance/compliance read permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{"nistFunction":{"type":"string","enum":["GOVERN","MAP","MEASURE","MANAGE"],"description":"Filter by NIST function."},"status":{"type":"string","enum":["IMPLEMENTED","PARTIAL","ROADMAP","AT_RISK"],"description":"Filter by implementation status."}}}},{"name":"get_data_lineage","description":"Returns field-level lineage records for AI synthesis outputs, including source integration, accessed attributes, authorization context, and classification markers for audit trails. Example: examiner request is answered with traceable lineage from source field to generated recommendation. Requires governance read scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"synthesisId":{"type":"string"},"integrationName":{"type":"string"},"daysBack":{"type":"number","default":30},"limit":{"type":"number","default":50}}}},{"name":"get_receipts","description":"Queries ML-DSA-65 signed Governed Settlement Receipts from the Audit Center with filters for tool, agent identity, permission model, anchor status, and date range. Returns payment settlement, governance scope, output hash, Base anchor status, and trust verification URLs. Requires read:governance scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"tool_called":{"type":"string","description":"Filter by tool name (e.g. get_fx_rate_benchmark)"},"agent_identity":{"type":"string","description":"Filter by passport ID or user ID"},"permission_model":{"type":"string","enum":["public_x402","field_abac","passport_scope"]},"anchor_status":{"type":"string","enum":["confirmed","pending","failed"]},"from_date":{"type":"string","description":"ISO date — receipts created after this"},"to_date":{"type":"string","description":"ISO date — receipts created before this"},"limit":{"type":"number","minimum":1,"maximum":100,"default":20},"include_payment":{"type":"boolean","default":true},"include_governance":{"type":"boolean","default":true}},"additionalProperties":false}},{"name":"get_open_anomalies","description":"Lists active governance anomalies with severity, detection rationale, and investigation status so risk teams can triage and resolve control exceptions. Example: approval-rate drop and scope-creep anomalies are escalated to compliance with owner assignment. Requires authenticated governance read permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{"severity":{"type":"string","enum":["LOW","MEDIUM","HIGH","CRITICAL"]},"limit":{"type":"number","default":20}}}},{"name":"get_adoption_stage","description":"Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.","inputSchema":{"type":"object","properties":{}}},{"name":"generate_regulatory_report","description":"Generates a signed regulatory evidence package for selected framework type and returns report metadata for examiner sharing and archival controls. Example: SR 26-2 report bundle is produced with cryptographic hash and period scope before supervisory review. Requires authenticated governance/reporting permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{"reportType":{"type":"string","enum":["FS_AI_RMF","SR_26_2","OCC_AI_RISK","BOARD_GOVERNANCE","INTERNAL_AUDIT","FFIEC_TECH_RISK"]},"daysBack":{"type":"number","default":90}},"required":["reportType"]}},{"name":"get_access_policies","description":"Returns configured organization access policies, including role assignments, capability levels, governance modes, and SSO mappings for administrative verification. Example: quarterly controls review confirms least-privilege alignment across policy sets and user cohorts. Requires authenticated admin read permissions.","requires_auth":true,"inputSchema":{"type":"object","properties":{}}},{"name":"get_eu_ai_act_coverage","description":"Use when assessing EU AI Act compliance readiness ahead of the August 2, 2026 enforcement deadline or preparing a board AI governance briefing. Returns a composite payload with framework, deadline, total_controls, controls[], hint, and query timestamp, optionally filtered by NIST function from compliance_controls reference data. Example: Filter by MAP to review mapped EU AI Act controls and implementation statuses in the returned controls array for governance planning. Source: EU AI Act mappings in compliance_controls reference data.","requires_auth":true,"inputSchema":{"type":"object","properties":{"nistFunction":{"type":"string","enum":["GOVERN","MAP","MEASURE","MANAGE"],"description":"Filter by NIST function."}}}},{"name":"get_uk_fca_coverage","description":"Use when assessing FCA model risk management compliance readiness or benchmarking an AI governance program against UK regulatory expectations. Returns coverage across 13 control objectives from FCA Policy Statement PS7/24. Example: PS7/24 requires documented model validation methodology, ongoing performance monitoring, and board-level model risk appetite statement — gaps in any of the three trigger supervisory concern. Source: FCA Policy Statement PS7/24.","requires_auth":true,"inputSchema":{"type":"object","properties":{"nistFunction":{"type":"string","enum":["GOVERN","MAP","MEASURE","MANAGE"],"description":"Filter by NIST function."}}}},{"name":"list_pending_agent_approvals","description":"Lists pending governed agent executions awaiting human approval with sensitivity, deadline, step progress, and role context for oversight queues. Example: approver dashboard surfaces highest-risk items first and tracks SLA exposure by executive role. Requires write:approvals scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"executive_role":{"type":"string","description":"Filter by executive role context: CEO, CFO, CRO, CMO, CTO, CHRO, CX, GC, COO, TRADER."},"sensitivity_tier":{"type":"string","enum":["public","internal","confidential","restricted","eyes_only"],"description":"Filter by sensitivity tier."},"limit":{"type":"number","minimum":1,"maximum":50,"description":"Maximum number of pending approvals to return (default 20, max 50)."}}}},{"name":"get_agent_execution","description":"Returns complete execution details for a specific governed agent run, including status transitions, approval chain, justification logs, cryptographic evidence, and writeback outcome fields. Example: incident review retrieves full evidence for one disputed execution id. Requires write:approvals scope.","requires_auth":true,"inputSchema":{"type":"object","properties":{"execution_id":{"type":"string","minLength":1,"description":"The UUID of the agent execution to retrieve."}},"required":["execution_id"]}},{"name":"approve_agent_execution","description":"Creates an approval decision for a pending governed execution while enforcing segregation-of-duties, tier-based justification, and immutable signed audit recording. Example: compliance officer approves a confidential writeback with rationale and timestamped evidence. Requires authenticated write:approvals permission.","requires_auth":true,"inputSchema":{"type":"object","properties":{"execution_id":{"type":"string","minLength":1,"description":"The UUID of the agent execution to approve."},"justification":{"type":"string","description":"Written justification for the approval decision. Required for confidential, restricted, and eyes_only sensitivity tiers (minimum 10 characters)."}},"required":["execution_id"]}},{"name":"reject_agent_execution","description":"Creates a rejection decision for a pending governed execution, records mandatory justification in the immutable audit chain, and triggers downstream resolution handling. Example: supervisor rejects an eyes-only execution due to incomplete evidence and routes remediation follow-up. Requires write:approvals scope.","requires_auth":true,"scope_required":"write:approvals","inputSchema":{"type":"object","properties":{"execution_id":{"type":"string","minLength":1,"description":"The UUID of the agent execution to reject."},"justification":{"type":"string","description":"Written justification for the rejection. Required for confidential, restricted, and eyes_only sensitivity tiers (minimum 10 characters). Strongly recommended for all tiers; MCP enforces at least 10 characters for every rejection."}},"required":["execution_id","justification"]}},{"name":"get_elliott_waves","description":"Elliott Wave position, targets, invalidation levels, and confidence scores for BTC, SPY, TLT, and Gold. Example: wave label, target band, invalidation, and confidence score per asset. For traders and portfolio managers tracking technical market structure.","inputSchema":{"type":"object","properties":{"asset":{"type":"string","description":"Asset symbol or \"all\" (default all)"}}}},{"name":"get_macro_playbook","description":"Current macro trading playbook: active regime label, verifiable FOMC facts, live market snapshot, model interpretation, positioning themes, and tactical opportunities. Example: regime label with playbook actions and risk triggers. For traders, portfolio managers, and macro allocators.","inputSchema":{"type":"object","properties":{}}},{"name":"get_web_research_synthesis","description":"Governed web research synthesis with cryptographic receipt. Agent submits a research question; returns an AI synthesis across live web sources with every source domain bound into an ML-DSA-65 signed receipt anchored on Base. Use when you need auditable, verifiable web research where provenance matters. Output: synthesis, citations, data_sources, receipt.","inputSchema":{"type":"object","properties":{"question":{"type":"string","description":"Research question (5-500 characters)"}},"required":["question"]}},{"name":"get_regulatory_news_synthesis","description":"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 at what timestamp. Use for compliance monitoring. Output: synthesis, citations, data_sources, receipt.","inputSchema":{"type":"object","properties":{"topic":{"type":"string","description":"Regulatory topic to monitor"},"agency":{"type":"string","description":"Optional agency filter (SEC, FTC, OCC, CFPB, FDA)"}},"required":["topic"]}},{"name":"get_company_intelligence_synthesis","description":"Live company intelligence synthesis: recent litigation, regulatory exposure, financial and news developments for a named company. Multi-source web synthesis with ML-DSA-65 signed receipt for due diligence and credit workflows. Output: synthesis, citations, data_sources, receipt.","inputSchema":{"type":"object","properties":{"company":{"type":"string","description":"Company name"},"focus":{"type":"string","description":"Optional focus area (litigation, regulatory, financial, news)"}},"required":["company"]}},{"name":"get_competitive_landscape_synthesis","description":"Competitive landscape synthesis for a market category: current leaders, positioning, and dynamics synthesized from live web sources with a signed provenance receipt. Use for market and strategic intelligence agents. Output: synthesis, citations, data_sources, receipt.","inputSchema":{"type":"object","properties":{"market":{"type":"string","description":"Market category or sector"}},"required":["market"]}},{"name":"get_legislative_intelligence_synthesis","description":"Legislative intelligence synthesis: current bill status, recent passages, and amendments for a topic and jurisdiction, synthesized from live sources with a cryptographic receipt. Use for policy and government-affairs agents. Output: synthesis, citations, data_sources, receipt.","inputSchema":{"type":"object","properties":{"topic":{"type":"string","description":"Legislative topic or bill subject"},"jurisdiction":{"type":"string","description":"Optional jurisdiction (default US)"}},"required":["topic"]}},{"name":"get_sports_nba_scores","description":"Live NBA scores, game status, and results for the past 7 days and next 7 days. Returns home/away teams, scores, game status (live, final, upcoming), and league/season context. Source: TheSportsDB. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{},"required":[]}},{"name":"get_sports_nfl_scores","description":"Live NFL game scores, game status, and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{},"required":[]}},{"name":"get_sports_mlb_scores","description":"Live MLB game scores and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{},"required":[]}},{"name":"get_sports_nhl_scores","description":"Live NHL game scores, game status, and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{},"required":[]}},{"name":"get_sports_scores_multi","description":"Cross-sport intelligence brief — live and recent scores across NBA, NFL, MLB, and NHL in one call. Returns only leagues with recent activity. Source: TheSportsDB. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{},"required":[]}},{"name":"get_verify_game_outcome","description":"Multi-source sports game outcome verification with cryptographic receipt. Queries independent data providers, reaches consensus on final score and winner, returns ML-DSA-65 signed receipt anchored on Base. Use when a prediction market or betting agent needs trustless proof of a game result for dispute resolution. Supports NFL, NBA, MLB, NHL, Soccer, Esports. $0.50.","inputSchema":{"type":"object","properties":{"sport":{"type":"string","enum":["americanfootball_nfl","basketball_nba","baseball_mlb","icehockey_nhl","soccer_epl","soccer_mls","americanfootball_ncaaf","basketball_ncaab","esports_lol","esports_cs2","tennis_atp"]},"home_team":{"type":"string","minLength":2,"maxLength":100},"away_team":{"type":"string","minLength":2,"maxLength":100},"game_date":{"type":"string","pattern":"^\\d{4}-\\d{2}-\\d{2}$"},"competition":{"type":"string","maxLength":100}},"required":["sport","home_team","away_team","game_date"]}},{"name":"get_resolve_game_outcome","description":"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. $0.50.","inputSchema":{"type":"object","properties":{"sport":{"type":"string","enum":["americanfootball_nfl","basketball_nba","baseball_mlb","icehockey_nhl","soccer_epl","soccer_mls","americanfootball_ncaaf","basketball_ncaab","esports_lol","esports_cs2","tennis_atp"]},"home_team":{"type":"string","minLength":2,"maxLength":100},"away_team":{"type":"string","minLength":2,"maxLength":100},"game_date":{"type":"string","pattern":"^\\d{4}-\\d{2}-\\d{2}$"},"resolve_for":{"type":"string","enum":["home_win","away_win","draw","not_draw"]},"competition":{"type":"string","maxLength":100}},"required":["sport","home_team","away_team","game_date","resolve_for"]}},{"name":"get_case_law_synthesis","description":"Federal case law synthesis across US courts via CourtListener. Returns top cases by relevance for a legal topic with citation counts, court, and precedential status. Use for legal research agents, litigation intelligence, and compliance gap analysis. Source: CourtListener 60M+ opinions. $0.50.","inputSchema":{"type":"object","properties":{"topic":{"type":"string"},"court":{"type":"string"},"date_after":{"type":"string","pattern":"^\\d{4}-\\d{2}-\\d{2}$"},"limit":{"type":"number","minimum":1,"maximum":20}},"required":["topic"]}},{"name":"get_judge_analytics","description":"Federal judge profile — court positions, appointment history, opinion count, and reversal rate estimate. Source: CourtListener. Use when evaluating litigation risk or selecting venue. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"judge_name":{"type":"string","description":"Full or last name of federal judge"}},"required":["judge_name"]}},{"name":"get_party_litigation_profile","description":"Federal litigation history for a company or individual — total dockets, active courts, recent case outcomes. Source: CourtListener. Use in M&A diligence or compliance monitoring. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"party_name":{"type":"string","description":"Company or individual name to search federal dockets"}},"required":["party_name"]}},{"name":"get_citation_authority","description":"Citation network analysis for a case — how many times cited, by which courts, authority signal (landmark/highly cited/limited). Source: CourtListener. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"citation":{"type":"string","description":"Case citation e.g. \"410 U.S. 113\""},"case_name":{"type":"string","description":"Legacy alias for citation query"}},"required":["citation"]}},{"name":"get_docket_intelligence","description":"Active federal dockets for a named party — open cases, last filing date, nature of suit. Source: CourtListener. Use for ongoing litigation monitoring. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"party_name":{"type":"string","description":"Party name to monitor for active federal cases"},"court":{"type":"string"}},"required":["party_name"]}},{"name":"get_federal_case_law","description":"Federal court opinion search — retrieve relevant case law by keyword or party name with citation counts and court. Source: CourtListener. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"query":{"type":"string"},"court":{"type":"string","description":"Optional court filter e.g. scotus, ca2, dcd"}},"required":["query"]}},{"name":"get_sec_insider_trading","description":"SEC Form 4 insider transaction history for a public company — executive buy/sell activity, filing dates, transaction types. Source: SEC EDGAR. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"ticker":{"type":"string","description":"Stock ticker symbol e.g. AAPL"}},"required":["ticker"]}},{"name":"get_sec_beneficial_ownership","description":"SEC Schedule 13D/13G ownership filings — identifies activist or passive 5%+ shareholders with filing history. Source: SEC EDGAR. ML-DSA-65 signed.","inputSchema":{"type":"object","properties":{"ticker":{"type":"string"}},"required":["ticker"]}},{"name":"get_openfda_adverse_events","description":"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. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{"drug_name":{"type":"string","description":"Drug name e.g. \"metformin\" or \"Ozempic\""}},"required":["drug_name"]}},{"name":"get_osha_enforcement","description":"OSHA inspection and violation history for a named employer — total inspections, violations, cumulative penalties, and violation type breakdown. Source: DOL Enforcement Data. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{"employer_name":{"type":"string","description":"Company or employer name e.g. \"Amazon\""}},"required":["employer_name"]}},{"name":"get_fec_campaign_finance","description":"Federal campaign finance activity — PAC committees, total political disbursements, receipts, and political footprint signal. Source: FEC electronic filings. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{"name":{"type":"string","description":"Company, PAC, or individual name"}},"required":["name"]}},{"name":"get_irs_990_intelligence","description":"IRS Form 990 nonprofit financial data — total revenue, expenses, net assets, program expense ratio, executive compensation, revenue trend, and financial health signal. Source: ProPublica Nonprofit Explorer. Every response is ML-DSA-65 signed and independently verifiable.","inputSchema":{"type":"object","properties":{"org_name":{"type":"string","description":"Nonprofit organization name e.g. \"Mayo Clinic\""}},"required":["org_name"]}},{"name":"get_drug_adverse_events","description":"FAERS drug adverse event reports from OpenFDA by medicinal product name. Returns serious event counts, reactions, outcomes, and recent report chronology. Use for pharmacovigilance monitoring, safety signal detection, and clinical risk agents. Source: FDA FAERS. $0.10 standard.","inputSchema":{"type":"object","properties":{"drug_name":{"type":"string"},"limit":{"type":"number","minimum":1,"maximum":100}},"required":["drug_name"]}},{"name":"get_device_clearances","description":"FDA 510(k) device clearance history from OpenFDA by device name. Returns K numbers, applicants, decisions, and receipt dates. Use for medtech competitive intelligence, regulatory pathway research, and supplier qualification. Source: FDA 510(k) database. $0.10 standard.","inputSchema":{"type":"object","properties":{"device_name":{"type":"string"}},"required":["device_name"]}},{"name":"get_drug_label_intelligence","description":"FDA drug label intelligence from OpenFDA DailyMed extracts. Returns brand and generic names, manufacturer, route, indications summary, and warnings summary. Use for formulary review, pharmacology research, and adverse event context. Source: FDA drug labels. $0.10 standard.","inputSchema":{"type":"object","properties":{"drug_name":{"type":"string"}},"required":["drug_name"]}},{"name":"get_job_openings_intelligence","description":"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.","inputSchema":{"type":"object","properties":{}}},{"name":"get_employment_cost_index","description":"BLS Employment Cost Index year-over-year change for total compensation, wages, and benefits. Use when modeling labor cost inflation, contract escalation, and margin pressure in operating plans. Source: BLS ECI. $0.10 standard.","inputSchema":{"type":"object","properties":{}}},{"name":"get_producer_price_by_industry","description":"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.","inputSchema":{"type":"object","properties":{"industry":{"type":"string","enum":["software","healthcare_services","banking","construction","retail","hospital","consulting"]}},"required":["industry"]}},{"name":"get_agricultural_commodity_benchmark","description":"Spot agricultural commodity price from FRED IMF primary commodity series for soybeans, wheat, corn, cotton, or coffee. Returns USD price, unit, and observation period for crop hedging, food cost modeling, and trade exposure agents. Source: FRED / IMF. $0.02 atomic.","inputSchema":{"type":"object","properties":{"commodity":{"type":"string","enum":["soybeans","wheat","corn","cotton","coffee"]}},"required":["commodity"]}},{"name":"get_shipping_cost_benchmark","description":"Baltic Dry Index shipping cost benchmark from FRED with trend classification (elevated, depressed, normal) and five-year average. Use when assessing global trade volume, freight inflation, or supply chain cost pressure. Source: FRED / Baltic Exchange. $0.02 atomic.","inputSchema":{"type":"object","properties":{}}},{"name":"get_retail_sales_benchmark","description":"US advance retail sales from FRED in billions USD with month-over-month and year-over-year percent change. Use for consumer demand monitoring, recession signals, and revenue forecasting agents. Source: FRED / US Census Bureau. $0.02 atomic.","inputSchema":{"type":"object","properties":{}}},{"name":"get_personal_savings_benchmark","description":"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.","inputSchema":{"type":"object","properties":{}}},{"name":"get_copper_price_benchmark","description":"IMF Grade A copper price in USD per metric ton with year-over-year change and industrial demand significance note. Use as a coincident indicator for global manufacturing and construction cycles. Source: FRED / IMF. $0.02 atomic.","inputSchema":{"type":"object","properties":{}}}],"namespaces":[{"name":"com.stratalize/oracle","description":"Multi-source consensus oracle for outcome verification. Cryptographically attested via ML-DSA-65 post-quantum signing.","endpoint":"https://www.stratalize.com/api/mcp-public?vertical=oracle","tool_count":2,"signing":"ML-DSA-65","category":"verification","introduced":"2026-05-30"}]}