{"name":"Stratalize","description":"AI governance and intelligence platform — 194 governed MCP tools across finance, healthcare, real estate, crypto, and governance. Every response Ed25519 attested. 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/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":"Ed25519","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_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_benchmark","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_comp_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_cost_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_yield_curve_data","description":"Use when current Treasury yield levels are needed for a fixed income positioning brief, CFO rate environment update, or treasury strategy discussion. Returns 2Y, 5Y, 10Y, 30Y yields, 10s2s spread, and curve shape when FRED API is configured. Example: 2Y 4.87%, 10Y 4.42%, 10s2s spread -45bps, shape INVERTED — inversion at 400+ days signals recession watch for fixed income positioning. 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.","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":"AML regulatory benchmarks — FinCEN SAR filing rates, OFAC SDN counts, and BSA examination focus areas. Source: FinCEN and OFAC public data composite. Use when benchmarking AML program performance or preparing for a BSA/AML examination.","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":"Physical climate risk benchmarks — flood, hurricane, wildfire, and heat exposure by geography and asset class. Source: NOAA, FEMA, and Stratalize climate composite. Use when quantifying physical climate risk for real estate underwriting or ESG climate disclosure.","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":"ESG benchmarks by sector — carbon intensity Scope 1/2, net zero commitments, and SBTi adoption rates. Source: Stratalize ESG composite from public disclosures. Use when benchmarking ESG performance for investor reporting or supply chain due diligence.","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":"Total value locked benchmarks by blockchain — Ethereum, Base, Solana, Arbitrum, and 50+ chains. Source: DeFiLlama. Use when assessing blockchain ecosystem health, comparing chain activity, or evaluating DeFi protocol deployment strategy.","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":"DAO treasury benchmarks — top DAOs by treasury size, stablecoin percentage, and runway estimates. Source: DeFiLlama DAO treasury data. Use when evaluating DAO financial health, comparing treasury management, or assessing protocol sustainability.","inputSchema":{"type":"object","properties":{"min_treasury_usd":{"type":"number"},"sort_by":{"type":"string","enum":["treasury","stablecoin_pct"]}}}},{"name":"get_defi_yield_benchmark","description":"DeFi lending and stable yield benchmarks — top pools by APY across Aave, Compound, and Curve. Source: DeFiLlama Yields. Use when comparing DeFi yield opportunities, assessing on-chain capital efficiency, or benchmarking protocol rates.","inputSchema":{"type":"object","properties":{"protocol":{"type":"string"},"asset":{"type":"string"}}}},{"name":"get_rwa_benchmark","description":"Real-world asset tokenization benchmarks — tokenized T-bill yields from Ondo, BlackRock BUIDL, and Franklin Templeton. Source: On-chain RWA data composite. Use when comparing tokenized asset yields against traditional equivalents or evaluating RWA protocol performance.","inputSchema":{"type":"object","properties":{"category":{"type":"string","enum":["treasuries","real_estate","credit","all"]}}}},{"name":"get_stablecoin_yield_benchmark","description":"Stablecoin lending yields — USDC, USDT, and DAI supply APY across Aave, Compound, and Morpho. Source: DeFiLlama Yields. Use when optimizing stablecoin yield strategy, comparing protocol rates, or assessing on-chain cash management returns.","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":"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_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: Gold Wave 5 target $2,750, invalidation $2,520, confidence 62%. 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, positioning themes, key risk triggers, and tactical opportunities. Example: Late-cycle easing regime, quality rotation active, DXY strength watch. For traders, portfolio managers, and macro allocators.","inputSchema":{"type":"object","properties":{}}},{"name":"get_stratalize_overview","description":"START HERE - Returns the complete Stratalize tool catalog: 194 governed MCP tools across 6 namespaces (crypto, finance, governance, healthcare, realestate, intelligence). 124 tools available via x402 (USDC micropayments on Base): 122 paid + 2 free reference tools. 139 additional tools accessible via OAuth-authenticated MCP for organizations. Call this first to discover C-suite briefs (CEO, CFO, CRO, CMO, CTO, CHRO, CX, GC, COO), market benchmarks, governance compliance tools (EU AI Act, FS AI RMF, UK FCA), and org intelligence with role-based recommendations. No auth required.","requires_auth":true,"scope_required":"read:market"},{"name":"get_ceo_brief","description":"CEO intelligence brief synthesizing vendor spend, pipeline health, workforce signals, and top 3 org-wide strategic priorities. Example: $58K annual overspend flagged, $180K pipeline at risk, 60% vendor concentration identified. Requires org data.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_cfo_brief","description":"CFO intelligence brief: above-market vendor flags, monthly spend vs market benchmarks, savings opportunities by vendor, and cash flow signals. Example: Datadog 56% above median = $6K/mo recoverable. Requires spend data or accounting integration.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_cro_brief","description":"CRO intelligence brief: pipeline value, at-risk deal exposure, win rate signals, and CRM vendor health flags. Example: $840K pipeline, 2 deals worth $180K at risk requiring executive sponsor. Requires CRM integration.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_cmo_brief","description":"CMO intelligence brief: brand AI citation rate by platform, marketing spend vs benchmark, momentum signals, and campaign performance gaps. Example: 0% Gemini mention rate vs 96% ChatGPT signals content gap. Requires marketing integration.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_cto_brief","description":"CTO intelligence brief: tech stack vendor health, above-market SaaS flags, shadow IT signals, and infrastructure spend vs benchmark. Example: 60% spend concentration in one vendor, $60K uncategorized tools identified. Requires spend data.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_chro_brief","description":"CHRO intelligence brief: workforce cost vs BLS benchmarks, retention risk score, open role pipeline impact, and compensation gaps by role. Example: 4 open roles stressing $180K at-risk pipeline. Requires HR or payroll integration.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_cx_brief","description":"CX intelligence brief: support tool spend vs benchmark, ticket resolution cost, vendor overlap flags such as Zendesk plus Intercom duplication, and customer satisfaction signals. Requires CRM or support platform integration.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_gc_brief","description":"GC intelligence brief: outside counsel win rates and cost per matter, early mediation ROI, and vendor contract renewal risk flags. Example: Boutique Firm B 92% win rate at $80K lower cost than major firm. Requires matter management data.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_coo_brief","description":"COO intelligence brief: operational spend per employee vs industry median, tool count efficiency score, vendor overlap flags, and process velocity. Example: 12 tools at $370/employee vs $290 benchmark = $6.2K consolidation opportunity.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_trader_brief","description":"TRADER intelligence brief: active macro regime, top asset signals, FOMC posture, cross-asset sentiment context, and tactical playbook summary. Cached — reflects last generation. For traders and portfolio managers. Use get_trader_signals for live data.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_healthcare_cfo_brief","description":"Healthcare CFO intelligence brief: CMS peer cohort cost benchmarks, vendor spend variance, staffing cost pressure, GPO leakage signals, and negotiation priorities by impact. Example: supply spend 2.4 points above peer median indicates a seven-figure recovery lane. Requires accounting and healthcare benchmark integrations.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_healthcare_chro_brief","description":"Healthcare CHRO intelligence brief: turnover benchmark variance, compensation competitiveness by role, travel nurse premium pressure, staffing agency concentration risk, and retention levers. Example: ICU agency mix above peer norm reveals avoidable premium spend and vacancy drag. Requires HRIS or payroll integration.","requires_auth":true,"scope_required":"read:roles"},{"name":"get_healthcare_cto_brief","description":"Healthcare CTO intelligence brief: EHR cost-per-bed variance, interoperability readiness, cybersecurity control posture, cloud migration progress, and AI clinical adoption signal coverage. Example: above-median EHR TCO plus interface backlog highlights immediate architecture savings priorities. Requires IT and healthcare system integrations.","requires_auth":true,"scope_required":"read:healthcare"},{"name":"get_org_intelligence","description":"Generates a unified organization intelligence package with spend posture, vendor matrix, benchmark deltas, integration health, and recent strategy context in one governed response. Example: executive kickoff packet combining top overspend vendors and role-priority actions for the week. Requires authenticated org context and read scopes.","requires_auth":true,"scope_required":"read:intelligence"},{"name":"get_decision_brief","description":"Creates a board-ready strategic decision brief that synthesizes organization data, benchmark evidence, and risk tradeoffs into recommended actions, downside scenarios, and executive asks. Example: renewal decision pack with quantified savings path, implementation risk, and approval checkpoints. Requires org intelligence and authorized access.","requires_auth":true,"scope_required":"read:intelligence"},{"name":"get_initial_org_snapshot","description":"Generates an onboarding snapshot of vendor footprint, benchmark posture, concentration and renewal patterns, role priorities, and critical data gaps with a short-lived cache for repeatability. Example: day-one baseline used to sequence integrations and first executive brief outputs. Requires authenticated organization context.","requires_auth":true,"scope_required":"read:market"},{"name":"get_org_health_score","description":"Returns a platform health score with component sub-scores for data coverage, integration readiness, benchmark depth, and report quality, plus gap indicators that block higher-confidence insights. Example: low-score profile identifying missing integrations before executive brief generation. Requires authenticated org context.","requires_auth":true,"scope_required":"read:health"},{"name":"list_org_actions","description":"Lists AI-generated organization action items with priority, owner role, and status context so teams can execute recommendations from the latest intelligence cycle. Example: Monday operating list showing renewal negotiations, data cleanup tasks, and risk reviews by role. Requires authenticated org context and action scope.","requires_auth":true,"scope_required":"read:actions"},{"name":"get_morning_briefing","description":"Generates a structured morning briefing for the authenticated user roles with decision queue, vital signs, pending approvals, and top actions for the day. Example: start-of-day executive packet that surfaces blocked approvals and highest-impact next moves. Requires read:roles, read:actions, and read:intelligence scopes.","requires_auth":true,"scope_required":"read:roles","inputSchema":{"type":"object","properties":{}}},{"name":"get_spend_summary","description":"Returns organization spend totals for the requested period with category breakdowns, percentages, and transaction counts to anchor budgeting and variance review workflows. Example: monthly close summary highlighting software, services, and infrastructure mix shifts versus prior period. Requires authenticated spend access.","requires_auth":true,"scope_required":"read:spend"},{"name":"get_intelligence_spend_summary","description":"Returns spend summary from the latest saved intelligence report or a selected report id, including totals, vendor count, location context, and top vendors by amount. Example: briefing-ready rollup used before CFO and COO reviews of vendor concentration. Requires authenticated spend scope.","requires_auth":true,"scope_required":"read:spend"},{"name":"get_top_vendors","description":"Lists top vendors ranked by total organization spend with transaction volume, category, and monthly average context for prioritization and negotiation planning. Example: shortlist of highest-impact renewals to sequence before quarter-end savings pushes. Requires authenticated vendor and spend scopes.","requires_auth":true,"scope_required":"read:vendors"},{"name":"get_vendor_benchmark","description":"Returns organization-versus-market benchmark comparison for a selected vendor, including over/under-market signal, expected range, and negotiation guidance tied to available benchmark rows. Example: renewal prep packet showing recoverable overspend and target pricing band. Requires benchmark access.","requires_auth":true,"scope_required":"read:benchmarks"},{"name":"get_business_memory","description":"Returns persisted business memory for the organization, including profile, operating context, key vendors, and model assumptions used to prime downstream intelligence generation. Example: context payload loaded before creating executive briefs to keep recommendations consistent. Requires business memory scope.","requires_auth":true,"scope_required":"read:business_memory"},{"name":"list_alerts","description":"Lists recent organization alert entries with alert type, message, sent timestamp, and ordering metadata so teams can triage events quickly. Example: morning operations review pulls newest alerts first, assigns owners, and tracks closure across finance, risk, and IT queues. Requires authenticated org context and read:alerts scope.","requires_auth":true,"scope_required":"read:alerts"},{"name":"list_benchmarks","description":"Lists organization-scoped market benchmark rows with vendor, category, market range, confidence, and optional filters for vendor substring or confidence level. Example: benchmark inventory review before launching renewal campaigns across top spend categories. Requires benchmark-read scope.","requires_auth":true,"scope_required":"read:benchmarks"},{"name":"get_integration_status","description":"Returns connected integration status for the organization, including provider, sync health, last successful run, and failure indicators to support operational reliability checks. Example: pre-brief readiness check confirming data freshness before board reporting. Requires integration-read scope.","requires_auth":true,"scope_required":"read:integrations"},{"name":"ask_stratalize","description":"Generates a governed, role-aware answer to an organization question by synthesizing authorized data, benchmark context, and policy constraints into a single response. Example: executive asks for contract prioritization and receives ranked actions with rationale and guardrails. Requires ask:stratalize scope.","requires_auth":true,"scope_required":"ask:stratalize"},{"name":"stratalize_analyze_document","description":"Creates an asynchronous governed document-analysis job that extracts key findings, risks, and suggested actions from uploaded content and returns a job id for polling. Example: contract packet intake that queues clause risk analysis and approval-relevant highlights. Requires authenticated intelligence scope.","requires_auth":true,"scope_required":"read:intelligence"},{"name":"stratalize_get_document_status","description":"Returns the current status, progress, and result metadata for a previously submitted document-analysis job so clients can render completion and downstream options. Example: polling workflow updates a dashboard tile from queued to completed with output references. Requires intelligence-read scope.","requires_auth":true,"scope_required":"read:intelligence"},{"name":"stratalize_submit_document_writeback","description":"Submits approved writeback actions from a completed document-analysis workflow into connected systems with governed execution tracking and auditability. Example: approved contract metadata writeback pushes counterparties, dates, and tasks to source systems. Requires authenticated intelligence permissions.","requires_auth":true,"scope_required":"read:intelligence"},{"name":"generate_strategy","description":"Generates a strategic plan from organization intelligence, benchmark posture, and role-prioritized opportunities, returning recommended initiatives, sequencing, and measurable outcomes. Example: 90-day value-creation plan with owners, milestones, and expected savings impact. Requires strategy-write scope.","requires_auth":true,"scope_required":"write:strategy"},{"name":"update_deal_stage","description":"Creates a governed proposal to update CRM deal stage with four-eyes approval routing, signed audit evidence, and explicit human confirmation before execution. Example: revenue leader requests stage advancement and approver validates justification before writeback. Requires authorized write:agents scope.","requires_auth":true,"scope_required":"write:agents"}]}