Stratalize Oracle
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 Oracle MCP server?
Stratalize Oracle is a hosted endpoint at https://www.stratalize.com/api/mcp-public?vertical=oracle, 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-oracle 'https://www.stratalize.com/api/mcp-public?vertical=oracle'
{
"mcpServers": {
"com-stratalize-oracle": {
"url": "https://www.stratalize.com/api/mcp-public?vertical=oracle"
}
}
} {
"servers": {
"com-stratalize-oracle": {
"type": "http",
"url": "https://www.stratalize.com/api/mcp-public?vertical=oracle"
}
}
} [mcp_servers.com-stratalize-oracle] url = "https://www.stratalize.com/api/mcp-public?vertical=oracle"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-stratalize-oracle": {
"type": "remote",
"url": "https://www.stratalize.com/api/mcp-public?vertical=oracle",
"enabled": true
}
}
} openclaw mcp add com-stratalize-oracle --url 'https://www.stratalize.com/api/mcp-public?vertical=oracle' --transport streamable-http
mcp_servers:
com-stratalize-oracle:
url: "https://www.stratalize.com/api/mcp-public?vertical=oracle" {
"McpServers": {
"com-stratalize-oracle": {
"Transport": "http",
"Url": "https://www.stratalize.com/api/mcp-public?vertical=oracle"
}
}
} assistant mcp add com-stratalize-oracle -t streamable-http -u 'https://www.stratalize.com/api/mcp-public?vertical=oracle'
{
"mcpServers": {
"com-stratalize-oracle": {
"type": "http",
"url": "https://www.stratalize.com/api/mcp-public?vertical=oracle"
}
}
} 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 +1
- 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_resolve_price_threshold” 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_verify_crypto_price” rewrote its description, which is the text the model reads security
- Schema quality: 162 → 124 ▲ functional
- Tool coverage: 0% → 18% ▲ functional
- New tool “get_adoption_stage” functional
- New tool “get_agricultural_commodity_benchmark” functional
- New tool “get_ai_consensus_on_topic” functional
- New tool “get_aml_regulatory_benchmark” functional
- New tool “get_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_brand_momentum” functional
- New tool “get_cac_benchmark” functional
- New tool “get_cap_rate_benchmark” functional
- New tool “get_case_law_synthesis” functional
- New tool “get_category_ai_leaders” functional
- New tool “get_category_disruption_signal” functional
- New tool “get_category_spend_benchmark” functional
- New tool “get_cfpb_complaint_intelligence” functional
- New tool “get_chain_tvl_benchmark” functional
- New tool “get_citation_authority” functional
- New tool “get_climate_risk_benchmark” functional
- New tool “get_climate_risk_score” functional
- New tool “get_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_company_intelligence_synthesis” functional
- New tool “get_company_salary_disclosure” functional
- New tool “get_competitive_displacement_signal” functional
- New tool “get_competitive_landscape_synthesis” functional
- New tool “get_construction_cost_benchmark” functional
- New tool “get_consumer_sentiment_benchmark” functional
- New tool “get_copper_price_benchmark” functional
- New tool “get_corporate_debt_benchmark” functional
- New tool “get_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_employer_h1b_wages” functional
- New tool “get_employment_cost_index” functional
- New tool “get_esg_benchmark” functional
- New tool “get_eu_ai_act_coverage” functional
- New tool “get_fda_recall_history” functional
- New tool “get_fec_campaign_finance” functional
- New tool “get_federal_case_law” functional
- New tool “get_federal_contract_intelligence” functional
- New tool “get_federal_court_cases” functional
- New tool “get_fomc_rate_probability” functional
- New tool “get_ftc_enforcement_history” functional
- New tool “get_fx_rate_benchmark” functional
- New tool “get_gas_benchmark” functional
- New tool “get_github_ecosystem_intelligence” functional
- New tool “get_global_equity_benchmark” functional
- New tool “get_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_industry_spend_benchmark” functional
- New tool “get_industry_spend_profile” functional
- New tool “get_inflation_benchmark” functional
- New tool “get_insurance_benchmark” functional
- New tool “get_intel_contractor_profile” functional
- New tool “get_intel_findings_search” functional
- New tool “get_intel_join” functional
- New tool “get_intel_lettings_search” functional
- New tool “get_intel_owner_profile” functional
- New tool “get_intel_unit_prices” functional
- New tool “get_investment_category_signal” functional
- New tool “get_irs_990_intelligence” functional
- New tool “get_irs_industry_tax_statistics” functional
- New tool “get_job_openings_intelligence” functional
- New tool “get_judge_analytics” functional
- New tool “get_labor_market_benchmark” functional
- New tool “get_legislative_intelligence_synthesis” functional
- New tool “get_ma_multiples_benchmark” functional
- New tool “get_macro_market_signal” functional
- New tool “get_macro_playbook” functional
- New tool “get_market_intelligence_brief” functional
- New tool “get_market_structure_signal” functional
- New tool “get_model_risk_management_standards” functional
- New tool “get_mortgage_market_benchmark” functional
- New tool “get_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_osha_enforcement” functional
- New tool “get_party_litigation_profile” functional
- New tool “get_payer_intelligence” functional
- New tool “get_pe_portfolio_benchmark” functional
- New tool “get_pe_return_benchmark” functional
- New tool “get_personal_savings_benchmark” functional
- New tool “get_pharmacy_spend_benchmark” functional
- New tool “get_physician_group_benchmark” functional
- New tool “get_platform_divergence” functional
- New tool “get_portfolio_vendor_intelligence” functional
- New tool “get_producer_price_by_industry” functional
- New tool “get_property_operating_benchmark” functional
- New tool “get_property_tax_benchmark” functional
- New tool “get_provider_market_intelligence” functional
- New tool “get_public_company_financials” functional
- New tool “get_public_market_multiples” functional
- New tool “get_real_estate_debt_stress_benchmark” functional
- New tool “get_regulatory_news_synthesis” functional
- New tool “get_reit_benchmark” functional
- New tool “get_rental_market_benchmark” functional
- New tool “get_residential_market_benchmark” functional
- New tool “get_resolve_game_outcome” functional
- New tool “get_retail_sales_benchmark” functional
- New tool “get_rwa_benchmark” functional
- New tool “get_saas_market_intelligence” functional
- New tool “get_saas_metrics_benchmark” functional
- New tool “get_saas_negotiation_playbook” functional
- New tool “get_salary_benchmark” functional
- New tool “get_sam_exclusion_screening” functional
- New tool “get_sba_loan_market_data” functional
- New tool “get_sec_beneficial_ownership” functional
- New tool “get_sec_insider_trading” functional
- New tool “get_sector_ai_intelligence” functional
- New tool “get_shipping_cost_benchmark” functional
- New tool “get_software_pricing_intelligence” functional
- New tool “get_spend_by_company_size” functional
- New tool “get_sports_mlb_scores” functional
- New tool “get_sports_nba_scores” functional
- New tool “get_sports_nfl_scores” functional
- New tool “get_sports_nhl_scores” functional
- New tool “get_sports_scores_multi” functional
- New tool “get_stablecoin_yield_benchmark” functional
- New tool “get_staffing_agency_markup_analysis” functional
- New tool “get_storm_event_history” functional
- New tool “get_top_vendors_by_category” functional
- New tool “get_trader_signals” functional
- New tool “get_travel_nurse_rate_benchmark” functional
- New tool “get_uk_fca_coverage” functional
- New tool “get_us_state_ai_legislation” functional
- New tool “get_uspto_patent_intelligence” functional
- New tool “get_value_based_care_performance” functional
- New tool “get_vendor_alternatives” functional
- New tool “get_vendor_benchmark” functional
- New tool “get_vendor_contract_intelligence” functional
- New tool “get_vendor_market_rate” functional
- New tool “get_vendor_negotiation_intelligence” functional
- New tool “get_vendor_risk_signal” functional
- New tool “get_venture_benchmark” functional
- New tool “get_verify_game_outcome” functional
- New tool “get_wacc_benchmark” functional
- New tool “get_weather_delay_risk” functional
- New tool “get_web_research_synthesis” functional
- 26 Aug 26 +2
We did not load change detail this far back for this component, so this day may have recorded more than is shown.
- 25 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 79
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=oracle
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=oracle | Verified | 200 | |
| http (plaintext) | http://www.stratalize.com/api/mcp-public?vertical=oracle | HTTPS enforced | 308 | https://www.stratalize.com/api/mcp-public?vertical=oracle |
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_development_pro_forma_benchmark ~88
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| market_tier | string | – | – |
| product_type | string | yes | – |
No output schema declared.
No examples provided.
get_device_clearances ~99
FDA 510(k) device clearance history from OpenFDA by device name. Returns K numbers, applicants, decisions, and receipt dates. Use for medtech competitive intelligence, regulatory pathway research, and supplier qualification. Source: FDA 510(k) database. $0.10 standard. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.
| Name | Type | Req | Description |
|---|---|---|---|
| device_name | string | yes | – |
No output schema declared.
No examples provided.
get_docket_intelligence ~96
Active federal dockets for a named party — open cases only, last filing date, nature of suit, and most active courts. Source: CourtListener. Use for ongoing litigation monitoring. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| court | string | – | – |
| party_name | string | yes | – |
No output schema declared.
No examples provided.
get_dol_labor_violations ~181
Use when screening an employer, vendor, or acquisition target for wage and hour compliance risk before a contract award, supply chain partnership, PE acquisition, or HR due diligence review. Returns DOL Wage and Hour Division enforcement history — FLSA overtime violations, minimum wage violations, child labor violations — with back wages assessed and employees affected. Repeat violations are a strong predictor of class action exposure. Example: Logistics Co LLC — 3 WHD investigations 2019-2023, $1.2M back wages, 891 employees affected for FLSA overtime violations — classified repeat violator, 340% higher class action probability vs first-time violators. Source: DOL WHISARD Enforcement Database. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| employer_name | string | yes | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_drug_adverse_events ~108
FAERS drug adverse event reports from OpenFDA by medicinal product name. Returns serious event counts, reactions, outcomes, and recent report chronology. Use for pharmacovigilance monitoring, safety signal detection, and clinical risk agents. Source: FDA FAERS. $0.10 standard. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.
| Name | Type | Req | Description |
|---|---|---|---|
| drug_name | string | yes | – |
| limit | integer | – | – |
No output schema declared.
No examples provided.
get_drug_label_intelligence ~99
FDA drug label intelligence from OpenFDA DailyMed extracts. Returns brand and generic names, manufacturer, route, indications summary, and warnings summary. Use for formulary review, pharmacology research, and adverse event context. Source: FDA drug labels. $0.10 standard. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.
| Name | Type | Req | Description |
|---|---|---|---|
| drug_name | string | yes | – |
No output schema declared.
No examples provided.
get_drug_recall_status ~164
Use when a pharmacy, supply chain, or compliance agent needs FDA drug recall status for an NDC or drug name. Returns recall records (status, classification, reason, dates), match_confidence (ndc_exact or name_match), normalized ndc11, and openFDA provenance — never silently returning a different product's recalls. Example: NDC 41163-703-10 — Class II nasal spray recall records with termination dates. Source: openFDA drug/ndc and drug/enforcement. | x402 SLA: $0.10 USDC per call. Returns HTTP 503 (no charge) when upstream data sources unavailable. data_sources[] discloses provenance bound by synthesis.output_hash.
| Name | Type | Req | Description |
|---|---|---|---|
| ndc_or_name | string | yes | – |
No output schema declared.
No examples provided.
get_earnings_quality_benchmark ~96
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| revenue_recognition_model | string | – | – |
| sector | string | yes | – |
No output schema declared.
No examples provided.
get_ehr_cost_per_bed ~144
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_cost | number | – | – |
| bed_count | number | – | – |
| vendor_name | string | yes | – |
No output schema declared.
No examples provided.
get_eia_energy_public_snapshot ~114
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. $0.02 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_elliott_waves ~100
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, invalidation, and confidence score per asset. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| asset | string | – | Asset symbol or "all" (default all) |
No output schema declared.
No examples provided.
get_employer_h1b_wages ~135
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| employer_name | string | yes | e.g. Google, Deloitte, Cognizant |
No output schema declared.
No examples provided.
get_employment_cost_index ~83
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. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_esg_benchmark ~86
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| focus | string | – | – |
| sector | string | – | – |
No output schema declared.
No examples provided.
get_eu_ai_act_coverage ~127
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. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| nistFunction | string | – | – |
No output schema declared.
No examples provided.
get_fda_recall_history ~163
Use when evaluating a pharmaceutical company, medical device manufacturer, or healthcare vendor for product safety risk, supply chain exposure, or regulatory compliance standing. Returns FDA recall classifications (Class I = risk of serious harm, Class II = moderate risk, Class III = unlikely to cause harm) with product descriptions and recall reasons. Class I recalls trigger mandatory FDA press releases and procurement review obligations. Example: MedSupply Corp — 2 Class I drug recalls in 36 months: contaminated IV solutions (2022) and mislabeled injectable (2023) — pattern of serious quality control failures requiring immediate vendor review. Source: OpenFDA Enforcement Reports. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | – |
| product_type | string | – | – |
No output schema declared.
No examples provided.
get_fec_campaign_finance ~90
Federal campaign finance activity — PAC committees, total political disbursements, receipts, and political footprint signal. Source: FEC electronic filings. Use for political risk monitoring and PAC compliance. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | – |
No output schema declared.
No examples provided.
get_federal_case_law ~101
Federal court opinion search — keyword or party name search with citation counts, court, date, and excerpt. Optional court filter (e.g. scotus, ca2, dcd). 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 |
|---|---|---|---|
| court | string | – | – |
| query | string | yes | – |
No output schema declared.
No examples provided.
get_federal_contract_intelligence ~173
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| agency_name | string | – | – |
| fiscal_year | number | – | – |
| naics_code | string | – | – |
| state | string | – | Two-letter state code for place of performance (e.g. PA, IL). |
| vendor_name | string | yes | – |
No output schema declared.
No examples provided.
get_federal_court_cases ~232
Use when screening a company, executive, vendor, or counterparty for federal litigation exposure before a contract award, acquisition, investment, board appointment, or enterprise partnership. Returns active and historical federal court dockets across all US district and appellate courts — case names, docket numbers, courts, filing dates, nature of suit, and active status. Example: Acme Corp — 4 active federal cases: patent infringement N.D. Cal. (filed 2023), FLSA collective action S.D.N.Y. with 847 plaintiffs (filed 2023), FTC antitrust investigation D.D.C. (filed 2024), securities class action S.D.N.Y. (filed 2024) — aggregate litigation liability exposure estimated above $200M. Source: CourtListener, 1M+ federal court documents. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| court | string | – | Court identifier e.g. ca9, scotus, dcd, nyed, ndca |
| party_name | string | yes | – |
| years_back | number | – | – |
No output schema declared.
No examples provided.
get_financial_deal_readiness ~138
Use when assessing financial health and deal-readiness for M&A, lending, or investment committee review. Fans in earnings quality, working capital, WACC, corporate debt, credit spread, and ESG benchmarks — degrading per-section on source_unavailable. Input sector (required); optional industry, credit_rating_tier, credit_spread_tier, esg_focus. $3.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| credit_rating_tier | string | – | – |
| credit_spread_tier | string | – | – |
| esg_focus | string | – | – |
| industry | string | – | – |
| sector | string | yes | – |
No output schema declared.
No examples provided.
get_fomc_rate_probability ~120
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. $0.02 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_form_d_new_raises ~96
Use when tracking new private placement activity via SEC Form D filings in a recent window. Returns Form D filings from EDGAR full-text search with optional state and SIC filters. Source: SEC EDGAR EFTS. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| days_back | integer | yes | – |
| min_offering_usd | number | – | – |
| sic | string | – | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_form4_insider_cluster ~80
Use when detecting insider trading clusters from Form 4 filing density over a window. Returns form4_filing_count, cluster_score, and activity signal for a ticker. Source: SEC EDGAR Form 4 cluster analysis. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| days_back | integer | – | – |
| ticker | string | yes | – |
No output schema declared.
No examples provided.
get_ftc_enforcement_history ~141
Use when evaluating antitrust exposure, consumer protection liability, data privacy enforcement history, or deceptive practices risk for a company before an acquisition, strategic partnership, or enterprise vendor selection. FTC consent orders impose ongoing behavioral restrictions lasting 10-20 years and carry $50,000+ per day penalties for violations. Example: Tech Platform Corp — FTC consent order 2021, $150M civil penalty, 20-year restrictions on data monetization practices, biennial compliance reporting — restrictions survive acquisition and bind acquirer. Source: FTC Enforcement Cases and Proceedings. $0.50 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | – |
No output schema declared.
No examples provided.
get_fx_rate_benchmark ~144
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).
| Name | Type | Req | Description |
|---|---|---|---|
| base_currency | string | – | – |
No output schema declared.
No examples provided.
get_gas_benchmark ~115
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).
| Name | Type | Req | Description |
|---|---|---|---|
| chain | string | – | – |
No output schema declared.
No examples provided.
get_github_ecosystem_intelligence ~126
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| org_or_company | string | yes | – |
No output schema declared.
No examples provided.
get_global_equity_benchmark ~150
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).
| Name | Type | Req | Description |
|---|---|---|---|
| region | string | – | – |
No output schema declared.
No examples provided.
get_gpo_contract_benchmark ~116
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
No output schema declared.
No examples provided.
get_healthcare_category_intelligence ~120
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
No output schema declared.
No examples provided.
get_healthcare_vendor_gpo_diligence ~124
Use when diligencing a healthcare vendor or GPO relationship. Fans in healthcare vendor market rate, GPO contract benchmark, FDA recall history, payer intelligence, and hospital supply chain benchmark — degrading per-section on source_unavailable. Inputs vendor_name and bed_size (required). $3.00 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| bed_size | integer | yes | – |
| category | string | – | – |
| company_name | string | – | – |
| payer_name | string | – | – |
| state | string | – | – |
| vendor_name | string | yes | – |
No output schema declared.
No examples provided.
get_healthcare_vendor_market_rate ~129
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
| vendor_name | string | yes | – |
No output schema declared.
No examples provided.
get_hospital_care_compare_quality ~120
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| hospital_name | string | yes | Hospital or facility name |
No output schema declared.
No examples provided.
get_hospital_supply_chain_benchmark ~134
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| bed_size | number | yes | – |
| state | string | – | – |
No output schema declared.
No examples provided.
get_housing_supply_benchmark ~83
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| region | string | – | – |
| structure_type | string | – | – |
No output schema declared.
No examples provided.
get_hud_fair_market_rent ~88
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.
| Name | Type | Req | Description |
|---|---|---|---|
| bedroom_count | integer | – | – |
| metro_area | string | yes | e.g. Chicago, IL or Miami, FL |
No output schema declared.
No examples provided.
get_imf_weo_macro_snapshot ~123
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. $0.02 USDC per call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_industry_spend_benchmark ~133
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_size | string | – | – |
| industry | string | yes | – |
No output schema declared.
No examples provided.
get_industry_spend_profile ~138
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| employee_count | number | yes | Employee headcount for banding |
| industry | string | yes | Industry vertical |
No output schema declared.
No examples provided.
get_inflation_benchmark ~141
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).
| Name | Type | Req | Description |
|---|---|---|---|
| measure | string | – | – |
No output schema declared.
No examples provided.
get_insurance_benchmark ~82
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. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| company_size | string | – | – |
| line_of_business | string | yes | – |
No output schema declared.
No examples provided.
get_intel_contractor_profile ~148
Use when vetting a contractor or bidder before a teaming decision or subcontract award. Returns the entity record plus award and bid participation history by role (winner, bidder, or vehicle holder). Example: Acme Paving LLC, winner on 14 of 61 bids (23% win rate), low bidder on 9 of those 14: a thin win margin worth checking against recent unit-price trends before teaming. Source: l. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| contractor | string | yes | UEI, legal name, or entity id |
No output schema declared.
No examples provided.
get_intel_findings_search ~178
Use when researching tribunal precedent for a specific defect or claim type before filing or defending a construction claim. Returns findings filtered by defect family, claim type, outcome, owner, and keyword, with docket number and case name from the underlying decision. Example: differing-site-conditions findings against notice-and-time-bar defenses, 31% denial rate across 58 findi. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| claim_type | string | – | – |
| defect_family | string | – | – |
| keyword | string | – | Matched against the finding summary |
| limit | number | – | – |
| outcome | string | – | granted, denied, partial, or remanded |
| owner_id | string | – | – |
No output schema declared.
No examples provided.
get_intel_join ~142
Use when researching a contractor's track record with a specific owner before a bid or teaming decision. Returns awards where that contractor (by UEI) participated under that owner plus the owner's general tribunal-decision findings for context. Example: USACE Norfolk District and a mid-Atlantic marine contractor, 6 joint awards worth $84M, set against the district's 42 findings and. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| owner | string | yes | Owner slug or id |
| uei | string | yes | Contractor UEI |
No output schema declared.
No examples provided.
get_intel_lettings_search ~213
Use when scoping upcoming or recent construction lettings in a target geography before allocating bid and estimating resources. Returns bid tabulation line items filtered by owner, county, district, state, and letting date range. Example: Cook County, IL lettings in the last 90 days: 23 lettings, 340 bid items, concentrated in District 1 resurfacing work, a near-term bidding window w. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| county | string | – | – |
| date_from | string | – | Letting date range start, YYYY-MM-DD |
| date_to | string | – | Letting date range end, YYYY-MM-DD |
| district | string | – | – |
| limit | number | – | – |
| owner | string | – | Owner slug or id |
| state | string | – | Two-letter state code, e.g. IL, TX |
No output schema declared.
No examples provided.
get_intel_owner_profile ~140
Use when assessing a construction owner's claims history before bidding a contract or negotiating a change order. Returns aggregate finding counts by defect family and outcome, decisions in the corpus, and days and dollars claimed versus awarded. Example: USACE Norfolk District, 42 findings, 31% denial rate on notice-and-time-bar defenses, $22M claimed versus $9M awarded: a hard line. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| owner | string | yes | Owner slug or id, e.g. illinois-dot |
No output schema declared.
No examples provided.
get_intel_unit_prices ~184
Use when benchmarking a bid line-item price against recent public lettings before finalizing an estimate. Returns minimum, maximum, average, and sample count unit prices for a pay item code, filterable by owner, state, and county. Example: pay item 20101100 (clearing and grubbing) in Texas, average $2,340 per acre across 46 bid items, range $1,180 to $4,900: a wide spread that flags. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| county | string | – | – |
| owner | string | – | Owner slug or id |
| pay_item_code | string | yes | – |
| state | string | – | Two-letter state code, e.g. IL, TX |
No output schema declared.
No examples provided.
get_investment_category_signal ~108
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. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
No output schema declared.
No examples provided.
get_irs_990_intelligence ~106
IRS Form 990 nonprofit financial data — total revenue, expenses, net assets, program expense ratio, executive compensation, revenue trend, and financial health signal. Source: ProPublica Nonprofit Explorer. Essential for evaluating nonprofit health systems, universities, and foundations. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.10 USDC per call.
| Name | Type | Req | Description |
|---|---|---|---|
| org_name | string | yes | – |
No output schema declared.
No examples provided.
What is the Stratalize Oracle MCP server?
Stratalize Oracle is an MCP server listed in the public MCP registry as com.stratalize/oracle. Retired. Use com.stratalize/stratalize. This page covers its hosted endpoint (https://www.stratalize.com/api/mcp-public?vertical=oracle).
Is the Stratalize Oracle MCP server safe to use?
Stratalize Oracle 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 Oracle MCP server expose?
Stratalize Oracle 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 Oracle MCP server require authentication?
No. We connected to Stratalize Oracle without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Stratalize Oracle MCP server still maintained?
Stratalize Oracle 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.