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Stratalize Real Estate

MCP server · hosted · v1.2.1 · com.stratalize/realestate
Online · tested 3d agoSeen in the registry 5d ago

Retired. Use com.stratalize/stratalize.

Website ↗How to connect ↓

What it does

Stratalize Real Estate is an MCP server, a connector that lets an AI assistant use it as a tool. It is hosted: an assistant connects to it over the internet, nothing to install.

No capability identified yet from its description.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.

At a glance

Hosted (remote)YES
Local installNO
Version1.2.1
PriceNot in the registry
First seen26 Sept 2026
Last checked5d ago

How to connect

As declared in the Official MCP Registry · hosted endpoint tested by Electra Index 3d ago (live check)

Hosted endpoint

  • https://www.stratalize.com/api/mcp-public?vertical=realestate streamable-http

In Claude Code: claude mcp add --transport http stratalize-real-estate https://www.stratalize.com/api/mcp-public?vertical=realestate

MCP settings (Claude Desktop, Cursor and other MCP clients)

{
  "mcpServers": {
    "stratalize-real-estate": {
      "url": "https://www.stratalize.com/api/mcp-public?vertical=realestate"
    }
  }
}

Live check

Electra Index connected to the hosted endpoint 3d ago

ONLINE Stratalize Real Estate answered an MCP connection on 28 Oct 2026 and introduced itself as stratalize-intelligence 1.0.0 (MCP protocol 2025-06-18).

201 tools offered to AI assistants

  • get_verify_crypto_price · Verify current crypto asset price via multi-source consensus. Returns attested consensus price with agreement score across independent sources (CoinGecko, Coinbase, Kraken). $0.50 USDC per call.
  • get_resolve_price_threshold · Resolve whether a crypto asset is above or below a threshold via multi-source consensus for settlement and verification workflows. $0.50 USDC per call.
  • get_verify_game_outcome · Multi-source sports game outcome verification with cryptographic receipt. Queries independent data providers, reaches consensus on final score and winner, returns ML-DSA-65 signed receipt anchored on Base. Use when a prediction market or be
  • get_resolve_game_outcome · Binary prediction market resolver for sports outcomes. Evaluates home_win, away_win, draw, or not_draw conditions via multi-source consensus. Returns boolean resolution with ML-DSA-65 signed receipt verifiable on Base, designed for autonomo
  • get_sports_nba_scores · Live NBA scores, game status, and results for the past 7 days and next 7 days. Returns home/away teams, scores, game status (live, final, upcoming), and league/season context. Source: TheSportsDB. Cryptographically attested with a post-quan
  • get_sports_nfl_scores · Live NFL game scores, game status, and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.strat
  • get_sports_mlb_scores · Live MLB game scores and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/veri
  • get_sports_nhl_scores · Live NHL game scores, game status, and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.strat
  • get_sports_scores_multi · Cross-sport intelligence brief — live and recent scores across all active leagues (NBA, NFL, MLB, NHL) in a single attested call. Returns only leagues with recent activity. Use when an agent needs sports context without knowing which league
  • get_web_research_synthesis · Governed web research synthesis with cryptographic receipt. Agent submits a research question; returns an AI synthesis across live web sources with every source domain bound into an ML-DSA-65 signed receipt anchored on Base. $1.00 USDC per
  • get_regulatory_news_synthesis · Real-time regulatory news synthesis for a topic or agency (SEC, FTC, OCC, CFPB, FDA). Returns current enforcement and rule-change developments synthesized from live sources with a signed receipt proving which sources were consulted. $1.00 U
  • get_company_intelligence_synthesis · 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.
Show 88 more
  • get_competitive_landscape_synthesis · 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.
  • get_legislative_intelligence_synthesis · Legislative intelligence synthesis: current bill status, recent passages, and amendments for a topic and jurisdiction, synthesized from live sources with a cryptographic receipt. $1.00 USDC per call.
  • get_vendor_market_rate · Use when a CFO or procurement team needs to know if they are overpaying for any software vendor. Returns monthly_median, monthly_low, monthly_high, annual_median, pricing_model, source, and data_as_of from healthcare vendor benchmark lookup
  • get_category_spend_benchmark · 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
  • get_vendor_negotiation_intelligence · Use when preparing to renew or renegotiate a SaaS contract. Returns typical discount percentage, best negotiation windows, leverage points, auto-renewal risk flags, and a negotiation script for any vendor. Example: Salesforce renewals avera
  • get_top_vendors_by_category · Use when building a vendor shortlist for a new software category purchase. Returns vendors ranked by mention count and median spend from enterprise spend data. Example: HR tech category — Workday median $42K/mo, BambooHR $3,200/mo, Rippling
  • get_vendor_alternatives · Use when evaluating a vendor switch or building a competitive RFP against an incumbent. Returns alternative vendors with migration complexity scores, estimated savings, and switching narrative. Example: Salesforce alternatives — HubSpot at
  • get_saas_negotiation_playbook · Use when a major SaaS contract is approaching renewal or auto-renewal risk. Returns timing strategy, leverage points, walk-away alternatives, and a complete negotiation script for any vendor. Example: Datadog renewal — initiate 90 days befo
  • get_industry_spend_profile · 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
  • get_vendor_contract_intelligence · Use when reviewing a new vendor agreement or benchmarking contract terms before a negotiation. Returns typical contract length, auto-renewal notice window, price escalation percentage, and key risk clauses for any major vendor. Example: Sal
  • get_spend_by_company_size · Use when benchmarking software category spend against same-size organizations before a purchase or renewal. Returns SMB, mid-market, and enterprise median monthly spend for any software category. Example: CRM median spend — SMB $1,200/mo, m
  • get_software_pricing_intelligence · Use when evaluating a new software purchase or reviewing a vendor quote for hidden costs. Returns common pricing models, hidden cost patterns, implementation cost ranges, and budget guidance by category. Example: CRM hidden costs — API over
  • get_category_ai_leaders · 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 — Sales
  • get_platform_divergence · Use when identifying gaps between AI platform recommendations and actual market position for a vendor or topic. Returns platform agreement score showing consistency across AI platforms. Example: Salesforce scores 0.91 agreement across ChatG
  • get_brand_momentum · 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
  • get_ai_consensus_on_topic · 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 h
  • get_cms_facility_benchmark · 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
  • get_payer_intelligence · Use when benchmarking payer performance, building a denial management strategy, or preparing revenue cycle board reporting. Returns denial rates by payer, prior authorization burden by specialty, and payer mix commentary. Example: Commercia
  • get_cms_star_rating · 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
  • get_pharmacy_spend_benchmark · Use when benchmarking hospital pharmacy costs or building a pharmacy cost reduction strategy for a board presentation. Returns drug cost per adjusted patient day, 340B savings opportunity from published savings ranges, specialty drug driver
  • get_nadac_drug_benchmark · Use when a pharmacy buyer, 340B program manager, or CFO agent needs CMS NADAC drug acquisition cost benchmarks for contract negotiation or payer comparison. Returns latest NADAC per unit, effective_date, as_of_date, pricing_unit, ndc_descri
  • get_cost_plus_price · 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 reta
  • get_drug_recall_status · 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 o
  • get_billing_coding_risk · 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. Ex
  • get_value_based_care_performance · Use when benchmarking VBC contract performance, assessing FFS-to-VBC transition readiness, or preparing a population health strategy presentation. Returns MSSP ACO savings rates, BPCI episode costs, and MIPS quality signal medians. Example:
  • get_travel_nurse_rate_benchmark · Use when benchmarking travel nurse contract rates or negotiating with a staffing agency. Returns bill-rate medians and bands by specialty and state. Example: ICU travel nurse median bill rate $95/hr in Illinois, p75 $108/hr — agencies billi
  • get_ehr_cost_per_bed · 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 m
  • get_healthcare_vendor_market_rate · 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
  • get_staffing_agency_markup_analysis · Use when evaluating staffing agency pricing or negotiating a travel nurse or locum contract. Returns median markup percentage with low/high band by agency and specialty type. Example: AMN Healthcare median markup 40%, Cross Country 37%, Aya
  • get_gpo_contract_benchmark · 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%
  • get_physician_group_benchmark · Use when evaluating physician employment agreements, benchmarking compensation for recruitment, or preparing a medical staff compensation report. Returns median total compensation by specialty and state from BLS OES 2024 data. Example: Illi
  • get_hospital_supply_chain_benchmark · 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
  • get_asc_benchmark · 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
  • get_healthcare_category_intelligence · 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
  • get_market_intelligence_brief · Use when producing a quick industry intelligence brief or validating market narrative for a strategy deck. Returns AI-generated market summary, up to six key themes, and sentiment skew for any industry. Example: Healthcare IT market — POSIT
  • get_industry_spend_benchmark · 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.
  • get_category_disruption_signal · 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 categor
  • get_competitive_displacement_signal · 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
  • get_vendor_risk_signal · Use when screening a vendor for financial instability or procurement risk before a long-term contract commitment. Returns a risk score from 0 to 1 with risk indicators and negative mention evidence. Example: Vendor X scores 0.72 risk — indi
  • get_market_structure_signal · Use when assessing software category maturity, timing a market entry, or evaluating consolidation risk in a category. Returns market structure signal (consolidating or fragmenting) with citation evidence. Example: HR tech category — CONSOLI
  • get_macro_market_signal · Use when a current macro environment snapshot is needed for a trading brief, CFO board presentation, or investment committee context. Returns Fed funds rate, Treasury yields, CPI, PCE, and employment data when FRED API is configured. Exampl
  • get_sector_ai_intelligence · Use when producing equity research, tracking brand share in AI sector coverage, or benchmarking a company AI visibility against sector peers. Returns top brands by AI mention share, sector trend narrative, and themed bullets for any equity
  • get_fomc_rate_probability · Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed fu
  • get_elliott_waves · Use when a technical trader needs wave counts, targets, and invalidation levels for major assets. Returns wave position, degree, target high/low, invalidation, and confidence for BTC, SPY, TLT, Gold. Example: wave label, target band, invali
  • get_macro_playbook · Use when a trader or portfolio manager needs current regime label and tactical positioning. Returns active regime, verifiable FOMC facts, live market snapshot, model interpretation, concurrent playbooks, and key levels. Example: regime labe
  • get_trader_signals · Use when a macro agent needs a full live signal stack in one call. Returns Fed funds, 2s10s, VIX, BTC, WTI, silver, gold, DXY, SOFR, MOVE, verifiable FOMC facts, model interpretation, and cross-asset sentiment. Example: live rates, vol, and
  • get_pe_portfolio_benchmark · Use when benchmarking portco technology spend for PE operating partners or building a software cost reduction case across a portfolio. Returns median software spend per company, category breakdown, and savings opportunity percentage. Exampl
  • get_saas_market_intelligence · Use when assessing a SaaS category investment thesis, competitive dynamics, or market momentum before a strategic decision. Returns growth signal, AI citation leaders, and disruption risk for any software category. Example: CRM category — G
  • get_investment_category_signal · 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 c
  • get_portfolio_vendor_intelligence · Use when conducting vendor diligence for a PE or VC portfolio company before a value creation initiative. Returns market rate data, brand index snapshot, and competitive displacement signals for any vendor. Example: Portco using Salesforce
  • get_vendor_benchmark · Use when a CFO or procurement lead needs org-specific vendor pricing vs market before renewal or negotiation. Returns market_low, market_median, market_high, position_label, negotiation tactics, estimated_savings_monthly from benchmark_cach
  • get_company_salary_disclosure · 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. E
  • get_employer_h1b_wages · 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
  • get_hospital_care_compare_quality · 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 sta
  • get_federal_contract_intelligence · 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 f
  • get_intel_owner_profile · 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 aw
  • get_intel_contractor_profile · 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 o
  • get_intel_lettings_search · 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: C
  • get_intel_unit_prices · 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:
  • get_intel_findings_search · 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 na
  • get_intel_join · 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 con
  • get_bank_financial_intelligence · Use when evaluating a bank for acquisition, partnership, correspondent banking, or competitive analysis in a local market. Returns FDIC-sourced assets, deposits, capital ratios, loan quality, and peer benchmark positioning. Example: Midwest
  • get_workplace_safety_benchmark · OSHA injury and illness rate benchmarks by company, industry, NAICS code, and state. Industry composite benchmarks available immediately with no sync required — establishment-specific data enabled when OSHA sync is connected. Covers injury
  • get_cfpb_complaint_intelligence · Use when assessing consumer finance risk, benchmarking complaint volume against peers, or conducting pre-acquisition due diligence on a financial institution. Returns CFPB complaint rollups by company and product — volume, issue themes, and
  • get_provider_market_intelligence · Use when assessing physician supply in a market, evaluating a healthcare network expansion, or benchmarking provider density for population health strategy. Returns NPI registry physician counts and market structure by specialty and state.
  • get_public_company_financials · Use when pulling public company financials for a comparable company analysis, M&A due diligence, or investor brief. Returns SEC EDGAR financial statement data — income statement, balance sheet, and key ratios from filed reports. Note: cache
  • get_cms_open_payments_profile · 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 p
  • get_uspto_patent_intelligence · Use when assessing a company IP portfolio strength, tracking competitor patent activity, or preparing M&A patent due diligence. Returns USPTO filing rollups by assignee — patent counts, filing years, and CPC classification. Example: Qualcom
  • get_github_ecosystem_intelligence · 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,
  • get_stealth_tokenize_entities · Anonymize free-text PII and named entities with deterministic typed tokens in one paid call, fail-closed by design and cryptographically attested for verification. Uses a per-request ephemeral secret, so consistency is guaranteed only withi
  • get_form_d_new_raises · 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.
  • get_8k_material_events · 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.
  • get_form4_insider_cluster · 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.
  • get_13f_holdings_delta · 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 pe
  • get_new_litigation_alerts · Use when monitoring new federal dockets filed against a party in the last N days. Returns docket alerts from CourtListener; zero results is a legitimate empty answer. Source: CourtListener docket search. $0.10 USDC per call.
  • get_litigation_risk_composite · Use when synthesizing litigation risk from party profile, docket intelligence, and optional judge analytics. Composite degrades transparently when partial CourtListener sources fail. Source: CourtListener composite. $0.50 USDC per call.
  • get_regulatory_comment_deadlines · Use when tracking Federal Register proposed rules and notices with open comment periods. Filters comment windows client-side on comments_close_on when API cannot server-side filter. Source: Federal Register API. $0.10 USDC per call.
  • get_verify_receipt_batch · Use when an auditor or compliance agent needs programmatic batch verification of governed settlement receipts. Accepts receipt IDs or pasted receipt JSON; returns per-item three-layer trust verdicts (post-quantum signature, digest binding,
  • get_data_freshness_attestation · 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 scre
  • get_x402_traffic_diligence · Use when you need attested know-your-agent diligence on inbound x402 traffic to Stratalize. Reports settlement count, tool-call concentration, cadence, traffic classification, and sweep-bot heuristics for wallets that have paid Stratalize —
  • get_x402_seller_statement · Use when an x402 seller or marketplace operator needs an attested on-chain settlement statement for a payee wallet over a bounded period. Ingests Base mainnet USDC Transfer logs, classifies likely x402 settlements, assembles STMT-JCS-1 aggr
  • get_vendor_onboarding_dossier · Use when onboarding a vendor or counterparty and you need one signed composite dossier for examiner-facing diligence. Fans in OFAC, OIG LEIE, and SAM exclusion screening (each with list_version), NPI provider verification, vendor market rat
  • get_bank_counterparty_diligence · 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 CF
  • get_cre_acquisition_diligence · 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 s
  • get_ai_regulatory_landscape · 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
  • get_financial_deal_readiness · 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_un
  • get_healthcare_vendor_gpo_diligence · 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_unava
  • get_litigation_enforcement_snapshot · Use when assessing litigation and enforcement exposure for a counterparty. Fans in litigation risk composite, new litigation alerts, federal court cases, FTC enforcement history, and OCC enforcement actions — degrading per-section (includin

The first 100 are shown.

What "online" means: the server answered an MCP connection at the time of the check. It is not a guarantee of security, quality or continuous uptime. How we test: we open an MCP session and ask for the tool list, as an AI assistant would. We never run a tool and never send a key. Checked every few days. Method

Is this your server? Monitoring Pro: a check every 30 minutes and an email within the hour when it stops answering. Launch offer: $39.99 once, for life.

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Hosted endpointhttps://www.stratalize.com/api/mcp-public?vertical=realestateDECLAREDSRC-001 Official MCP Registry5d ago
Local install (package)noDECLAREDSRC-001 Official MCP Registry5d ago
Remote access (hosted)yesDECLAREDSRC-001 Official MCP Registry5d ago
Websitehttps://www.stratalize.comDECLAREDSRC-001 Official MCP Registry5d ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry5d ago
Version1.2.1DECLAREDSRC-001 Official MCP Registry5d ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry5d ago

Change history

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Questions about Stratalize Real Estate

How do I connect Stratalize Real Estate?

Use the hosted endpoint https://www.stratalize.com/api/mcp-public?vertical=realestate in your assistant's MCP settings. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

What tools does Stratalize Real Estate offer?

When Electra Index connected on 28 Oct 2026, it listed 201 tools: get_verify_crypto_price, get_resolve_price_threshold, get_verify_game_outcome, get_resolve_game_outcome, get_sports_nba_scores, get_sports_nfl_scores, get_sports_mlb_scores, get_sports_nhl_scores and more. The full list is in "Live check" above.

Is Stratalize Real Estate online?

Yes. Its hosted endpoint answered an MCP connection from Electra Index 3d ago.