Stratalize Finance Intelligence is an MCP server with 46 tools an agent can call, among them get_agricultural_commodity_benchmark, get_aml_regulatory_benchmark, get_audit_fee_benchmark. It answers at https://stratalize.com/api/mcp-public?vertical=finance over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Financial benchmarks: yield curve, FX, WACC, M&A multiples, PE returns, and bank capital ratios.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
get_agricultural_commodity_benchmark | Spot agricultural commodity price from FRED IMF primary commodity series for soybeans, wheat, corn, cotton, or coffee. Returns USD price, unit, and observation period for crop hedging, food cost modeling, and trade exposure agents. Source: Inputs: commodity |
get_aml_regulatory_benchmark | AML regulatory benchmarks — FinCEN SAR filing rates, OFAC SDN counts and recent additions, BSA enforcement fine history, travel rule thresholds, and compliance staffing benchmarks. For compliance agents and financial institution risk office Inputs: institution_type, focus |
get_audit_fee_benchmark | 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 regio Inputs: annual_revenue_usd, auditor_tier, industry |
get_bank_financial_intelligence | 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 Inputs: bank_name |
get_bank_regulatory_benchmark | 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 off Inputs: asset_size_tier, bank_type |
get_bls_inflation_components | Use when analyzing inflation exposure by spending category, structuring or reviewing vendor contract escalation clauses, benchmarking healthcare or real estate cost inflation, or providing monetary policy context for a CFO or treasury brief Inputs: category |
get_bls_sector_employment | Use when benchmarking workforce planning against sector labor market conditions, assessing industry growth trajectory for strategic planning, providing economic context for board reporting, or evaluating talent acquisition timing for a spec Inputs: sector |
get_cfpb_complaint_intelligence | 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 Inputs: company_name, product |
get_climate_risk_benchmark | Climate financial risk benchmarks — physical risk (flood, hurricane, wildfire, heat), transition risk (carbon pricing scenarios, stranded assets), and lender implications. Source: FEMA NFIP, NGFS scenarios. For ESG and risk agents. Inputs: property_type, risk_type, region |
get_commodity_benchmark | 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 Inputs: category |
get_consumer_sentiment_benchmark | 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 Inputs: focus |
get_copper_price_benchmark | IMF Grade A copper price in USD per metric ton with year-over-year change and industrial demand significance note. Use as a coincident indicator for global manufacturing and construction cycles. Source: FRED / IMF. $0.02 atomic. Cryptograph |
get_corporate_debt_benchmark | 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 p Inputs: industry, credit_rating_tier |
get_credit_spread_benchmark | 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. Ret Inputs: rating_tier |
get_credit_union_benchmark | 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 Inputs: asset_size_tier, charter_type |
get_earnings_quality_benchmark | 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 ass Inputs: sector, revenue_recognition_model |
get_eia_energy_public_snapshot | 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 |
get_elliott_waves | Use when a technical trader needs wave counts, targets, and invalidation levels for major assets. Returns wave position, degree, target high/low, invalidation, and confidence for BTC, SPY, TLT, Gold. Example: wave label, target band, invali Inputs: asset |
get_employment_cost_index | BLS Employment Cost Index year-over-year change for total compensation, wages, and benefits. Use when modeling labor cost inflation, contract escalation, and margin pressure in operating plans. Source: BLS ECI. $0.10 standard. Cryptographic |
get_esg_benchmark | ESG benchmarks by sector — carbon intensity Scope 1/2, net zero commitments, SBTi alignment, board independence, pay equity, and ESG composite scores. Sources: EPA GHGRP, MSCI ESG methodology. For sustainability agents and ESG analysts. Inputs: sector, focus |
get_fomc_rate_probability | 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 fu |
get_fx_rate_benchmark | 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 ups Inputs: base_currency |
get_global_equity_benchmark | 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 cha Inputs: region |
get_imf_weo_macro_snapshot | 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 co |
get_inflation_benchmark | 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 Inputs: measure |
get_insurance_benchmark | 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 per Inputs: line_of_business, company_size |
get_job_openings_intelligence | JOLTS labor market intelligence from BLS: job openings, quits rate, layoffs rate, and tight/loose/normal interpretation. Use for workforce planning, wage pressure forecasting, and recession early-warning agents. Source: BLS JOLTS. $0.10 sta |
get_labor_market_benchmark | 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 Inputs: focus |
get_ma_multiples_benchmark | 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 Inputs: industry, deal_size_tier |
get_macro_playbook | Use when a trader or portfolio manager needs current regime label and tactical positioning. Returns active regime, verifiable FOMC facts, live market snapshot, model interpretation, concurrent playbooks, and key levels. Example: regime labe |
get_ncua_credit_union_financials | Use when evaluating a credit union for partnership, acquisition, membership, or competitive benchmarking in a local market. Returns NCUA call report financials — assets, deposits, loans, net worth ratio, delinquency rate, and ROA — with pee Inputs: credit_union_name, state |
get_pe_return_benchmark | 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: Ca Inputs: strategy, vintage_year |
get_personal_savings_benchmark | BEA personal saving rate from FRED with long-run average comparison and above-average flag. Use when assessing household balance sheet health, consumption durability, and macro recession risk. Source: FRED / BEA. $0.02 atomic. Cryptographic |
get_producer_price_by_industry | BLS Producer Price Index by industry with index level and year-over-year change. Covers software, healthcare services, banking, construction, retail, hospital, and consulting. Use for input cost benchmarking and PPI pass-through analysis. S Inputs: industry |
get_public_market_multiples | 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: Damoda Inputs: sector, context |
get_retail_sales_benchmark | US advance retail sales from FRED in billions USD with month-over-month and year-over-year percent change. Use for consumer demand monitoring, recession signals, and revenue forecasting agents. Source: FRED / US Census Bureau. $0.02 atomic. |
get_sec_beneficial_ownership | Schedule 13D/13G beneficial ownership filings — identifies activist (13D) or passive (13G) 5%+ shareholders with intent classification. Returns activist signal. Source: SEC EDGAR. Cryptographically attested with a post-quantum signed settle Inputs: ticker |
get_sec_insider_trading | SEC Form 4 insider transaction history — executive buy/sell filings in the last 90 days with filing dates and links. Returns insider activity signal. Source: SEC EDGAR. Cryptographically attested with a post-quantum signed settlement receip Inputs: ticker |
get_shipping_cost_benchmark | Baltic Dry Index shipping cost benchmark from FRED with trend classification (elevated, depressed, normal) and five-year average. Use when assessing global trade volume, freight inflation, or supply chain cost pressure. Source: FRED / Balti |
get_stratalize_overview | START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0 |
get_trader_signals, get_venture_benchmark, get_wacc_benchmark, get_working_capital_benchmark, get_world_bank_country_indicators, get_yield_curve_benchmark
Every block below points at https://stratalize.com/api/mcp-public?vertical=finance. Pick your client and copy.
claude mcp add --transport http stratalize-finance-intelligence https://stratalize.com/api/mcp-public?vertical=finance
{
"mcpServers": {
"stratalize-finance-intelligence": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://stratalize.com/api/mcp-public?vertical=finance"]
}
}
}{
"mcpServers": {
"stratalize-finance-intelligence": {
"url": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}{
"servers": {
"stratalize-finance-intelligence": {
"type": "http",
"url": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}{
"context_servers": {
"stratalize-finance-intelligence": {
"url": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}{
"mcpServers": {
"stratalize-finance-intelligence": {
"serverUrl": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}{
"mcpServers": {
"stratalize-finance-intelligence": {
"url": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}name: Stratalize Finance Intelligence
version: 0.0.1
schema: v1
mcpServers:
- name: Stratalize Finance Intelligence
type: streamable-http
url: https://stratalize.com/api/mcp-public?vertical=finance{
"mcpServers": {
"stratalize-finance-intelligence": {
"httpUrl": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}{
"mcpServers": {
"stratalize-finance-intelligence": {
"type": "http",
"url": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}{
"mcpServers": {
"stratalize-finance-intelligence": {
"url": "https://stratalize.com/api/mcp-public?vertical=finance"
}
}
}goose://extension?url=https%3A%2F%2Fstratalize.com%2Fapi%2Fmcp-public%3Fvertical%3Dfinance&type=streamable_http&id=stratalize-finance-intelligence&name=Stratalize%20Finance%20Intelligence
It answered our last check on 18 October 2026 in 270 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by stratalize.com and served from stratalize.com, the vendor's own domain: https://stratalize.com/api/mcp-public?vertical=finance.
46, as returned by the server's own tools/list on 31 August 2026: get_agricultural_commodity_benchmark, get_aml_regulatory_benchmark, get_audit_fee_benchmark, get_bank_financial_intelligence, get_bank_regulatory_benchmark, get_bls_inflation_components, get_bls_sector_employment, get_cfpb_complaint_intelligence, and 38 more.
It answered our last check on 18 October 2026 in 270 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://stratalize.com/api/mcp-public?vertical=finance. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.stratalize. Endpoint host: stratalize.com. ARD identifier: urn:air:com.stratalize:mcp:finance.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.