Stratalize Intelligence
REMOTE · WWW.STRATALIZE.COM · SCANNED SEP 21
Retired. Use com.stratalize/stratalize.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 24640 tokens (~122/item across 201 items; 201 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage72
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 15% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 201 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 202 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the Stratalize Intelligence MCP server?
Stratalize Intelligence is a hosted endpoint at https://www.stratalize.com/api/mcp-public?vertical=intelligence, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · www.stratalize.com
claude mcp add --transport http com-stratalize-intelligence 'https://www.stratalize.com/api/mcp-public?vertical=intelligence'
{
"mcpServers": {
"com-stratalize-intelligence": {
"url": "https://www.stratalize.com/api/mcp-public?vertical=intelligence"
}
}
} {
"servers": {
"com-stratalize-intelligence": {
"type": "http",
"url": "https://www.stratalize.com/api/mcp-public?vertical=intelligence"
}
}
} [mcp_servers.com-stratalize-intelligence] url = "https://www.stratalize.com/api/mcp-public?vertical=intelligence"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-stratalize-intelligence": {
"type": "remote",
"url": "https://www.stratalize.com/api/mcp-public?vertical=intelligence",
"enabled": true
}
}
} openclaw mcp add com-stratalize-intelligence --url 'https://www.stratalize.com/api/mcp-public?vertical=intelligence' --transport streamable-http
mcp_servers:
com-stratalize-intelligence:
url: "https://www.stratalize.com/api/mcp-public?vertical=intelligence" {
"McpServers": {
"com-stratalize-intelligence": {
"Transport": "http",
"Url": "https://www.stratalize.com/api/mcp-public?vertical=intelligence"
}
}
} assistant mcp add com-stratalize-intelligence -t streamable-http -u 'https://www.stratalize.com/api/mcp-public?vertical=intelligence'
{
"mcpServers": {
"com-stratalize-intelligence": {
"type": "http",
"url": "https://www.stratalize.com/api/mcp-public?vertical=intelligence"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 0
- New tool “get_13f_holdings_delta” functional
- New tool “get_8k_material_events” functional
- New tool “get_ai_regulatory_landscape” functional
- New tool “get_bank_counterparty_diligence” functional
- New tool “get_cre_acquisition_diligence” functional
- New tool “get_data_freshness_attestation” functional
- New tool “get_financial_deal_readiness” functional
- New tool “get_form4_insider_cluster” functional
- New tool “get_form_d_new_raises” functional
- New tool “get_healthcare_vendor_gpo_diligence” functional
- New tool “get_litigation_enforcement_snapshot” functional
- New tool “get_litigation_risk_composite” functional
- New tool “get_new_litigation_alerts” functional
- New tool “get_regulatory_comment_deadlines” functional
- New tool “get_stealth_tokenize_entities” functional
- New tool “get_vendor_onboarding_dossier” functional
- New tool “get_verify_receipt_batch” functional
- New tool “get_x402_seller_statement” functional
- New tool “get_x402_traffic_diligence” functional
- 18 Sept 26 −1
We did not load change detail this far back for this component, so this day may have recorded more than is shown.
- Tool “get_ai_consensus_on_topic” rewrote its description, which is the text the model reads security
- Tool “get_brand_momentum” rewrote its description, which is the text the model reads security
- Tool “get_cac_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_category_ai_leaders” rewrote its description, which is the text the model reads security
- Tool “get_category_disruption_signal” rewrote its description, which is the text the model reads security
- Tool “get_category_spend_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_company_intelligence_synthesis” rewrote its description, which is the text the model reads security
- Tool “get_company_salary_disclosure” rewrote its description, which is the text the model reads security
- Tool “get_competitive_displacement_signal” rewrote its description, which is the text the model reads security
- Tool “get_competitive_landscape_synthesis” rewrote its description, which is the text the model reads security
- Tool “get_employer_h1b_wages” rewrote its description, which is the text the model reads security
- Tool “get_federal_contract_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_github_ecosystem_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_industry_spend_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_industry_spend_profile” rewrote its description, which is the text the model reads security
- Tool “get_investment_category_signal” rewrote its description, which is the text the model reads security
- Tool “get_irs_industry_tax_statistics” rewrote its description, which is the text the model reads security
- Tool “get_legislative_intelligence_synthesis” rewrote its description, which is the text the model reads security
- Tool “get_macro_market_signal” rewrote its description, which is the text the model reads security
- Tool “get_market_intelligence_brief” rewrote its description, which is the text the model reads security
- Tool “get_market_structure_signal” rewrote its description, which is the text the model reads security
- Tool “get_osha_enforcement” rewrote its description, which is the text the model reads security
- Tool “get_pe_portfolio_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_platform_divergence” rewrote its description, which is the text the model reads security
- Tool “get_portfolio_vendor_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_public_company_financials” rewrote its description, which is the text the model reads security
- Tool “get_regulatory_news_synthesis” rewrote its description, which is the text the model reads security
- Tool “get_saas_market_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_saas_metrics_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_saas_negotiation_playbook” rewrote its description, which is the text the model reads security
- Tool “get_salary_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_sector_ai_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_software_pricing_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_spend_by_company_size” rewrote its description, which is the text the model reads security
- Tool “get_stratalize_overview” rewrote its description, which is the text the model reads security
- Tool “get_top_vendors_by_category” rewrote its description, which is the text the model reads security
- Tool “get_uspto_patent_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_vendor_alternatives” rewrote its description, which is the text the model reads security
- Tool “get_vendor_benchmark” rewrote its description, which is the text the model reads security
- Tool “get_vendor_contract_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_vendor_market_rate” rewrote its description, which is the text the model reads security
- Tool “get_vendor_negotiation_intelligence” rewrote its description, which is the text the model reads security
- Tool “get_vendor_risk_signal” rewrote its description, which is the text the model reads security
- Tool “get_web_research_synthesis” rewrote its description, which is the text the model reads security
- Tool “get_workplace_safety_benchmark” rewrote its description, which is the text the model reads security
- Tool coverage: 31% → 18% ▼ functional
- Schema quality: 5364 → 22643 ▼ functional
- New tool “get_adoption_stage” functional
- New tool “get_agricultural_commodity_benchmark” functional
- New tool “get_aml_regulatory_benchmark” functional
- New tool “get_asc_benchmark” functional
- New tool “get_audit_fee_benchmark” functional
- New tool “get_bank_financial_intelligence” functional
- New tool “get_bank_regulatory_benchmark” functional
- New tool “get_billing_coding_risk” functional
- New tool “get_bls_inflation_components” functional
- New tool “get_bls_sector_employment” functional
- New tool “get_cap_rate_benchmark” functional
- New tool “get_case_law_synthesis” functional
- New tool “get_cfpb_complaint_intelligence” functional
- New tool “get_chain_tvl_benchmark” functional
- New tool “get_citation_authority” functional
- New tool “get_climate_risk_benchmark” functional
- New tool “get_climate_risk_score” functional
- New tool “get_cms_facility_benchmark” functional
- New tool “get_cms_open_payments_profile” functional
- New tool “get_cms_star_rating” functional
- New tool “get_colorado_ai_act_requirements” functional
- New tool “get_commodity_benchmark” functional
- New tool “get_construction_cost_benchmark” functional
- New tool “get_consumer_sentiment_benchmark” functional
- New tool “get_copper_price_benchmark” functional
- New tool “get_corporate_debt_benchmark” functional
- New tool “get_cost_plus_price” functional
- New tool “get_cra_performance_ratings” functional
- New tool “get_cre_debt_benchmark” functional
- New tool “get_credit_spread_benchmark” functional
- New tool “get_credit_union_benchmark” functional
- New tool “get_crypto_correlation_benchmark” functional
- New tool “get_dao_treasury_benchmark” functional
- New tool “get_defi_yield_benchmark” functional
- New tool “get_development_pro_forma_benchmark” functional
- New tool “get_device_clearances” functional
- New tool “get_docket_intelligence” functional
- New tool “get_dol_labor_violations” functional
- New tool “get_drug_adverse_events” functional
- New tool “get_drug_label_intelligence” functional
- New tool “get_drug_recall_status” functional
- New tool “get_earnings_quality_benchmark” functional
- New tool “get_ehr_cost_per_bed” functional
- New tool “get_eia_energy_public_snapshot” functional
- New tool “get_elliott_waves” functional
- New tool “get_employment_cost_index” functional
- New tool “get_esg_benchmark” functional
- New tool “get_eu_ai_act_coverage” functional
- New tool “get_fda_recall_history” functional
- New tool “get_fec_campaign_finance” functional
- New tool “get_federal_case_law” functional
- New tool “get_federal_court_cases” functional
- New tool “get_fomc_rate_probability” functional
- New tool “get_ftc_enforcement_history” functional
- New tool “get_fx_rate_benchmark” functional
- New tool “get_gas_benchmark” functional
- New tool “get_global_equity_benchmark” functional
- New tool “get_gpo_contract_benchmark” functional
- New tool “get_healthcare_category_intelligence” functional
- New tool “get_healthcare_vendor_market_rate” functional
- New tool “get_hospital_care_compare_quality” functional
- New tool “get_hospital_supply_chain_benchmark” functional
- New tool “get_housing_supply_benchmark” functional
- New tool “get_hud_fair_market_rent” functional
- New tool “get_imf_weo_macro_snapshot” functional
- New tool “get_inflation_benchmark” functional
- New tool “get_insurance_benchmark” functional
- New tool “get_intel_contractor_profile” functional
- New tool “get_intel_findings_search” functional
- New tool “get_intel_join” functional
- New tool “get_intel_lettings_search” functional
- New tool “get_intel_owner_profile” functional
- New tool “get_intel_unit_prices” functional
- New tool “get_irs_990_intelligence” functional
- New tool “get_job_openings_intelligence” functional
- New tool “get_judge_analytics” functional
- New tool “get_labor_market_benchmark” functional
- New tool “get_ma_multiples_benchmark” functional
- New tool “get_macro_playbook” functional
- New tool “get_model_risk_management_standards” functional
- New tool “get_mortgage_market_benchmark” functional
- New tool “get_nadac_drug_benchmark” functional
- New tool “get_ncreif_return_benchmark” functional
- New tool “get_ncua_credit_union_financials” functional
- New tool “get_nist_ai_rmf_requirements” functional
- New tool “get_noaa_disaster_economics” functional
- New tool “get_npi_provider_verification” functional
- New tool “get_occ_enforcement_actions” functional
- New tool “get_ofac_sanctions_screening” functional
- New tool “get_oig_exclusion_screening” functional
- New tool “get_openfda_adverse_events” functional
- New tool “get_options_iv_benchmark” functional
- New tool “get_party_litigation_profile” functional
- New tool “get_payer_intelligence” functional
- New tool “get_pe_return_benchmark” functional
- New tool “get_personal_savings_benchmark” functional
- New tool “get_pharmacy_spend_benchmark” functional
- New tool “get_physician_group_benchmark” functional
- New tool “get_producer_price_by_industry” functional
- New tool “get_property_operating_benchmark” functional
- New tool “get_property_tax_benchmark” functional
- New tool “get_provider_market_intelligence” functional
- New tool “get_public_market_multiples” functional
- New tool “get_real_estate_debt_stress_benchmark” functional
- New tool “get_reit_benchmark” functional
- New tool “get_rental_market_benchmark” functional
- New tool “get_residential_market_benchmark” functional
- New tool “get_resolve_game_outcome” functional
- New tool “get_resolve_price_threshold” functional
- New tool “get_retail_sales_benchmark” functional
- New tool “get_rwa_benchmark” functional
- New tool “get_sam_exclusion_screening” functional
- New tool “get_sba_loan_market_data” functional
- New tool “get_sec_beneficial_ownership” functional
- New tool “get_sec_insider_trading” functional
- New tool “get_shipping_cost_benchmark” functional
- New tool “get_sports_mlb_scores” functional
- New tool “get_sports_nba_scores” functional
- New tool “get_sports_nfl_scores” functional
- New tool “get_sports_nhl_scores” functional
- New tool “get_sports_scores_multi” functional
- New tool “get_stablecoin_yield_benchmark” functional
- New tool “get_staffing_agency_markup_analysis” functional
- New tool “get_storm_event_history” functional
- New tool “get_trader_signals” functional
- New tool “get_travel_nurse_rate_benchmark” functional
- New tool “get_uk_fca_coverage” functional
- New tool “get_us_state_ai_legislation” functional
- New tool “get_value_based_care_performance” functional
- New tool “get_venture_benchmark” functional
- New tool “get_verify_crypto_price” functional
- New tool “get_verify_game_outcome” functional
- New tool “get_wacc_benchmark” functional
- New tool “get_weather_delay_risk” functional
- 26 Aug 26 +1
We did not load change detail this far back for this component, so this day may have recorded more than is shown.
- 24 Aug 26 +1
We did not load change detail this far back for this component, so this day may have recorded more than is shown.
- 23 Aug 26 83
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 21 Sept 2026 · Probed https://www.stratalize.com/api/mcp-public?vertical=intelligence
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=www.stratalize.com | CN=YR2,O=Let's Encrypt,C=US | 3 Sept 2026 | 2 Dec 2026 | RSA 2048 | SHA256-RSA | 6af3a58b7e1ae9a810dd3831ea0392d9b2a |
| SANs: www.stratalize.com | ||||||
| CN=YR2,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | 4ebd24947e24d394802d84a52fd5b319 |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of www.stratalize.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| stratalize.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| content-security-policy | default-src 'self'; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://js.stripe.com https://cdn.jsdelivr.net https://*.sentry.io https://us-assets.i.posthog.com https://us.i.posthog.com https://ddwl4m2hdecbv.cloudfront.net https://s3-us-west-2.amazonaws.com https://fpnpmcdn.net https://cdn.getwarmly.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' https://fonts.gstatic.com; img-src 'self' data: https: blob:; connect-src 'self' https://www.stratalize.com https://*.supabase.co wss://*.supabase.co https://api.anthropic.com https://*.sentry.io https://inngest.com https://*.posthog.com https://us.i.posthog.com https://us-assets.i.posthog.com https://api.getwarmly.com https://*.getwarmly.com https://ddwl4m2hdecbv.cloudfront.net https://s3-us-west-2.amazonaws.com https://fpnpmcdn.net https://*.fingerprintjs.com https://pulse.walletconnect.org https://api.web3modal.org https://cca-lite.coinbase.com https://mm-sdk-analytics.api.cx.metamask.io https://api.fpjs.io https://mainnet |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(), geolocation=(), interest-cohort=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://www.stratalize.com/api/mcp-public?vertical=intelligence | Verified | 200 | |
| http (plaintext) | http://www.stratalize.com/api/mcp-public?vertical=intelligence | HTTPS enforced | 308 | https://www.stratalize.com/api/mcp-public?vertical=intelligence |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_13f_holdings_delta ~82
Use when comparing institutional 13F-HR filing quarters for QoQ holdings change context. Returns current and prior quarter filing pairs with delta summary scaffolding. Source: SEC EDGAR 13F submissions. Requires ticker or cik. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| cik | string | – | – |
| ticker | string | – | – |
No output schema declared.
No examples provided.
get_8k_material_events ~84
Use when monitoring material issuer events via recent 8-K filings for a ticker. Returns 8-K filing metadata from EDGAR submissions with optional item-code filter hints. Source: SEC EDGAR submissions. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| days_back | integer | – | – |
| item_codes | array | – | – |
| ticker | string | yes | – |
No output schema declared.
No examples provided.
get_adoption_stage ~133
Public mode returns FS AI RMF framework reference data only — not org-specific scoring. 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. $0.02 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_agricultural_commodity_benchmark ~114
Spot agricultural commodity price from FRED IMF primary commodity series for soybeans, wheat, corn, cotton, or coffee. Returns USD price, unit, and observation period for crop hedging, food cost modeling, and trade exposure agents. Source: FRED / IMF. $0.02 atomic. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| commodity | string | yes | – |
No output schema declared.
No examples provided.
get_ai_consensus_on_topic ~118
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. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
| topic | string | yes | – |
No output schema declared.
No examples provided.
get_ai_regulatory_landscape ~125
Use when standing up or auditing an AI governance program and need one signed snapshot across NIST AI RMF, EU AI Act, US state AI legislation, Colorado AI Act, model risk management standards, and UK FCA PS7/24 coverage. All inputs optional — returns full framework composite; optional nist_function, state, system_type, institution_type filters. $3.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| institution_type | string | – | – |
| nist_function | string | – | – |
| state | string | – | – |
| system_type | string | – | – |
No output schema declared.
No examples provided.
get_aml_regulatory_benchmark ~81
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 officers. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| focus | string | – | – |
| institution_type | string | – | – |
No output schema declared.
No examples provided.
get_asc_benchmark ~122
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| specialty | string | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_audit_fee_benchmark ~135
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_revenue_usd | number | yes | Annual revenue in USD, e.g. 50000000 for $50M |
| auditor_tier | string | – | – |
| industry | string | – | – |
No output schema declared.
No examples provided.
get_bank_counterparty_diligence ~126
Use when diligencing a bank or financial institution counterparty before onboarding, funding, or transaction approval. Fans in bank regulatory benchmark, AML regulatory benchmark, OCC enforcement actions, credit union peer benchmark, and CFPB complaint intelligence — degrading per-section on source_unavailable. Input institution_name (required). $3.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| aml_focus | string | – | – |
| asset_size_tier | string | – | – |
| credit_union_asset_tier | string | – | – |
| institution_name | string | yes | – |
| institution_type | string | – | – |
No output schema declared.
No examples provided.
get_bank_financial_intelligence ~147
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| bank_name | string | yes | e.g. JPMorgan, Wells Fargo, First National Bank |
No output schema declared.
No examples provided.
get_bank_regulatory_benchmark ~97
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| asset_size_tier | string | yes | – |
| bank_type | string | – | – |
No output schema declared.
No examples provided.
get_billing_coding_risk ~165
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_claim_volume | number | – | – |
| level_4_5_percentage | number | – | Percentage of E/M claims at level 4 or 5 |
| specialty | string | – | – |
No output schema declared.
No examples provided.
get_bls_inflation_components ~153
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. Medical care CPI and housing CPI consistently diverge from headline inflation — critical for healthcare budget planning and commercial lease negotiations. Example: Medical care CPI +3.8% YoY vs headline CPI +3.1% — healthcare costs inflating 23% faster than the general economy, directly driving hospital operating budget overruns in fixed-price service contracts. Source: Bureau of Labor Statistics CPI — the Federal Reserve's primary inflation benchmark. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
No output schema declared.
No examples provided.
get_bls_sector_employment ~166
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 specific industry. Returns BLS payroll employment by major sector with month-over-month change, year-over-year change, and trend classification from the official establishment survey covering 650,000 US worksites — the same data the Federal Reserve uses to assess labor market conditions. Example: Healthcare sector — 8.41M employed, +47K MoM, +3.2% YoY, EXPANDING for 14 consecutive months — persistent hiring demand supports above-market compensation benchmarks. Source: Bureau of Labor Statistics Current Employment Statistics. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| sector | string | yes | – |
No output schema declared.
No examples provided.
get_brand_momentum ~110
Use when monitoring a vendor brand trajectory in AI recommendations or tracking week-over-week competitor momentum for a CMO brief. Returns 4-week momentum score, trend direction, and weekly movement series. Example: HubSpot 4-week momentum +1.8, GROWING trend — 3 consecutive weeks of citation increase following major product launch — competitive signal requiring CMO attention. Source: Stratalize brand index. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| brand_name | string | yes | – |
No output schema declared.
No examples provided.
get_cac_benchmark ~155
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| avg_contract_value_usd | number | – | ACV for LTV:CAC calculation |
| gtm_motion | string | – | – |
| industry | string | yes | Industry vertical |
No output schema declared.
No examples provided.
get_cap_rate_benchmark ~93
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| asset_class | string | yes | – |
| market_tier | string | – | – |
| region | string | – | – |
No output schema declared.
No examples provided.
get_case_law_synthesis ~134
Federal case law synthesis across US courts via CourtListener. Returns top cases by relevance for a legal topic with citation counts, court, and precedential status. Use for legal research agents, litigation intelligence, and compliance gap analysis. Source: CourtListener 60M+ opinions. $0.50. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| court | string | – | – |
| date_after | string | – | – |
| limit | integer | – | – |
| topic | string | yes | – |
No output schema declared.
No examples provided.
get_category_ai_leaders ~105
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
No output schema declared.
No examples provided.
get_category_disruption_signal ~117
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
No output schema declared.
No examples provided.
get_category_spend_benchmark ~126
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Software or service category |
| company_size | string | – | – |
| industry | string | – | – |
No output schema declared.
No examples provided.
get_cfpb_complaint_intelligence ~134
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | – |
| product | string | – | – |
No output schema declared.
No examples provided.
get_chain_tvl_benchmark ~94
Live TVL by blockchain — Ethereum, Base, Solana, Arbitrum, and 50+ chains from DeFiLlama. Rankings, 1D and 7D change, protocol counts, Ethereum dominance, and Base vs ETH TVL comparison for x402 agent context. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | – |
| sort_by | string | – | – |
No output schema declared.
No examples provided.
get_citation_authority ~96
Citation authority analysis — how many times a case has been cited, by which courts, and authority signal (landmark / highly cited / frequently cited / limited). Source: CourtListener. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| case_name | string | – | – |
| citation | string | – | – |
No output schema declared.
No examples provided.
get_climate_risk_benchmark ~92
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| property_type | string | – | – |
| region | string | – | – |
| risk_type | string | – | – |
No output schema declared.
No examples provided.
get_climate_risk_score ~177
Use when pricing physical climate risk for a location — real estate acquisition, commercial property underwriting, construction site selection, or climate-related financial disclosure. Returns a composite risk score across six perils (flood, hurricane, tornado, wildfire, extreme heat, freeze) using the same risk factors embedded in FEMA's National Risk Index. Example: Miami-Dade FL — EXTREME overall, top 2% hurricane exposure, Zone AE flood designation across 40% of commercial parcels, 94 days above 95°F annually — commercial property insurance costs 3.2x national median. Source: NOAA Climate Normals, FEMA National Risk Index, USGS Natural Hazards composite. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| location | string | yes | US city and state (e.g. Miami FL or Houston Texas) |
No output schema declared.
No examples provided.
get_cms_facility_benchmark ~132
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| bed_size | number | yes | – |
| hospital_type | string | – | – |
| state | string | yes | – |
No output schema declared.
No examples provided.
get_cms_open_payments_profile ~135
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| manufacturer_name | string | – | – |
| program_year | number | – | – |
| recipient_name | string | yes | – |
No output schema declared.
No examples provided.
get_cms_star_rating ~124
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| current_star_rating | number | – | – |
| hospital_name | string | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_colorado_ai_act_requirements ~205
Use when building an AI governance compliance roadmap, advising on high-risk AI deployment obligations in Colorado, or briefing boards on upcoming US state AI regulatory requirements. Colorado SB 205 takes effect June 30, 2026 — the first comprehensive US state AI law. Returns developer and deployer obligations, high-risk AI system criteria, consumer rights, penalty structure ($20,000 per violation, AG enforcement), and comparison to EU AI Act. Example: AI-based loan underwriting system deployed in Colorado requires algorithmic impact assessment, plain-language consumer disclosure before first use, 3-year audit trail with AG access rights, and annual compliance certification — noncompliance triggers $20,000 per violation. Source: Colorado SB 205, enacted May 17, 2024. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| system_type | string | – | Type of AI system (e.g. hiring, lending, healthcare, insurance, education) for tailored obligation analysis |
No output schema declared.
No examples provided.
get_commodity_benchmark ~131
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).
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
No output schema declared.
No examples provided.
get_company_intelligence_synthesis ~68
Live company intelligence synthesis: recent litigation, regulatory exposure, financial and news developments for a named company with ML-DSA-65 signed receipt for due diligence workflows. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | – |
| focus | string | – | – |
No output schema declared.
No examples provided.
get_company_salary_disclosure ~152
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | – |
| fiscal_year | number | – | – |
| job_title | string | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_competitive_displacement_signal ~108
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| vendor_name | string | yes | – |
No output schema declared.
No examples provided.
get_competitive_landscape_synthesis ~56
Competitive landscape synthesis for a market category: current leaders, positioning, and dynamics synthesized from live web sources with a signed provenance receipt. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| market | string | yes | – |
No output schema declared.
No examples provided.
get_construction_cost_benchmark ~95
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| building_type | string | yes | – |
| construction_class | string | – | – |
| region | string | – | – |
No output schema declared.
No examples provided.
get_consumer_sentiment_benchmark ~129
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).
| Name | Type | Req | Description |
|---|---|---|---|
| focus | string | – | – |
No output schema declared.
No examples provided.
get_copper_price_benchmark ~92
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. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_corporate_debt_benchmark ~122
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| credit_rating_tier | string | – | – |
| industry | string | yes | – |
No output schema declared.
No examples provided.
get_cost_plus_price ~174
Use when a patient, benefits manager, or procurement agent needs Mark Cuban Cost Plus Drugs transparent retail pricing for a specific NDC. Returns medication_name, brand_name, form, unit_price and unit_billing_price labeled transparent retail price estimate (cost+15% model), optional quantity quote, and canonical purchase URL — never labeled as a benchmark. Example: NDC 42385096230 — unit price $0.963 transparent retail price estimate (cost+15% model). Source: Cost Plus Drugs public API. | x402 SLA: $0.02 USDC per call. Returns HTTP 503 (no charge) when upstream data sources unavailable. data_sources[] discloses estimate provenance bound by synthesis.output_hash.
| Name | Type | Req | Description |
|---|---|---|---|
| ndc_or_name | string | yes | – |
| quantity_units | number | – | – |
No output schema declared.
No examples provided.
get_cra_performance_ratings ~155
Use when evaluating a bank's Community Reinvestment Act track record before a merger application, charter acquisition, branch expansion approval, or community lending partnership. CRA ratings — Outstanding, Satisfactory, Needs to Improve, Substantial Noncompliance — are a primary federal approval factor for bank mergers and acquisitions. A 'Needs to Improve' rating can delay or block merger approval by 12-24 months. Example: Heartland Community Bank — Outstanding CRA rating, 2023 FDIC exam, fourth consecutive Outstanding — maximum approval runway for pending acquisition of Gateway Savings Bank. Source: FFIEC CRA Ratings Database — the official federal record. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| institution_name | string | yes | – |
No output schema declared.
No examples provided.
get_cre_acquisition_diligence ~122
Use when underwriting a CRE acquisition and need one signed composite across cap rates, CRE debt, operating costs, property tax, debt-stress, and location climate risk score. Degrades per-section on source_unavailable. Inputs location and state (required); optional asset_class, property_type, market_tier. $3.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| asset_class | string | – | – |
| location | string | yes | – |
| market_tier | string | – | – |
| property_type | string | – | – |
| state | string | yes | – |
No output schema declared.
No examples provided.
get_cre_debt_benchmark ~99
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| lender_type | string | – | – |
| property_type | string | yes | – |
No output schema declared.
No examples provided.
get_credit_spread_benchmark ~140
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).
| Name | Type | Req | Description |
|---|---|---|---|
| rating_tier | string | – | – |
No output schema declared.
No examples provided.
get_credit_union_benchmark ~88
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| asset_size_tier | string | yes | – |
| charter_type | string | – | – |
No output schema declared.
No examples provided.
get_crypto_correlation_benchmark ~131
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).
| Name | Type | Req | Description |
|---|---|---|---|
| period | string | – | – |
No output schema declared.
No examples provided.
get_dao_treasury_benchmark ~91
DAO treasury benchmarks — top DAOs by treasury size, stablecoin percentage, runway, and governance token concentration. Median benchmarks: $550M treasury, 61% stablecoin, 48-month runway. Source: DeepDAO public data. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| min_treasury_usd | number | – | – |
| sort_by | string | – | – |
No output schema declared.
No examples provided.
get_data_freshness_attestation ~92
Use when an examiner or compliance workflow needs a post-quantum signed attestation of screening-list currency. Returns list_version and as-of metadata for synced OFAC, OIG LEIE, or SAM exclusion datasets — the same versions bound into screening responses. Input dataset: ofac, oig, or sam. $1.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset | string | yes | – |
No output schema declared.
No examples provided.
get_defi_yield_benchmark ~154
DeFi lending and stable yield benchmark from DeFiLlama Yields — top pools by APY with p25/p50/p75 APY bands, TVL, chain, and pool id. Optional protocol (project slug substring) and/or asset (symbol substring). With no filters, universe is stablecoin-marked pools (typical lending / money-market supply). Free public API, no key. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| asset | string | – | Filter by pool symbol substring, e.g. USDC, DAI, ETH |
| protocol | string | – | Filter by DeFiLlama project slug substring, e.g. aave-v3, compound-v3 |
No output schema declared.
No examples provided.
What is the Stratalize Intelligence MCP server?
Stratalize Intelligence is an MCP server listed in the public MCP registry as com.stratalize/intelligence. Retired. Use com.stratalize/stratalize. This page covers its hosted endpoint (https://www.stratalize.com/api/mcp-public?vertical=intelligence).
Is the Stratalize Intelligence MCP server safe to use?
Stratalize Intelligence scores 84 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Stratalize Intelligence MCP server expose?
Stratalize Intelligence exposes 201 tools: get_verify_crypto_price, get_resolve_price_threshold, get_verify_game_outcome, get_resolve_game_outcome, get_sports_nba_scores, and 196 more. Their descriptions and schemas cost roughly 24,494 tokens of context every time the server is loaded.
Does the Stratalize Intelligence MCP server require authentication?
No. We connected to Stratalize Intelligence without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Stratalize Intelligence MCP server still maintained?
Stratalize Intelligence is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.