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Research & Data

DFX Real Estate Intelligence

US commercial real estate data: loan maturities, subsidized housing, bank exposure, property records and investment inte

Free access to US commercial real estate intelligence including FHA/CMBS loan maturities, LIHTC compliance expirations, HUD subsidy contracts, bank CRE exposure, property records, tenant occupancy, family office and sponsor investments, and private equity transactions across multiple states.

Try asking Muse: "Show me commercial real estate loans maturing in the next 18 months in Massachusetts with their lender names and current principal amounts."

Working now?
Working
Worked last 7 days
100% of checks
How to get it
Extra setup
Account
No account needed
Price
Not stated

Source: Found in the official MCP Registry (io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt) · First listed September 24, 2026

Last 24 hours

Each bar is one check, every 15 minutes. Green means it answered. Last checked 22 min ago.

Is it safe to connect?

What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.

Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.

musedirectory.ai is not part of Meta. More about how Muse handles your information

How to add it to Muse

Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Open Muse
https://exchange-production-9123.up.railway.app/mcp

Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.

Technical details: safety screening, tools, response time and recent checks

Response time at the last check: 1071ms. Worked in 100% of checks over 30 days.

Screening · September 24, 2026

Screened, no issues found

MCP handshake
Pass
Answered in 280ms
Domain against threat feeds (Cloudflare security DNS)
Pass
exchange-production-9123.up.railway.app, dfxintel.com not flagged
Published packages against the OSV malicious-package database
n/a
No npm or PyPI package published
Hidden instructions or invisible characters in tool text
Pass
84 tools read, nothing found
Inputs asking for passwords, card numbers or seed phrases
Pass
None found
Domain and redirects
Pass
Domain registered 2610 days ago
AI review of purpose and tool behavior
Pass
No concerns

Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.

Tools · 40

resolve_addressTurn a street address into canonical DFX object ids, with the match basis and any ambiguity stated. Returns typed objects: a 'property' (national federal programme multifamily) and/or a 'parcel' (Massachusetts assessor and registry layer). These are separate populations that bare
resolve_organizationTurn an owner, manager, lender or servicer name into canonical DFX entity ids. A name is treated as a blocking key and never as an identity, so all candidates are returned rather than a guess. Free. Person lookup is deliberately not offered.
get_occupancyTwo directions from one call. A PROPERTY dfx_id returns the tenants observed at that building: tenant name and dfx_id, occupancy class, leased area, share of the property, and the lease expiration date where the source discloses one. A COMPANY dfx_id returns where that company is
get_property_recordGiven a DFX id, return current state, dated events, ownership and management relationships, debt with maturity dates and maturity basis, recorded sales with consideration plus registry book and page, and the provenance of each. Sales carry BOTH the instrument total and this parce
search_property_eventsDated events over US properties and parcels, with provenance and a human-readable headline. Covers LIHTC compliance period endings (the Year 15 recapitalisation trigger, 11,956 of them), HUD subsidy contract expiries (4,721), scheduled loan maturities (3,281) now national rather
search_bank_cre_exposureSearch 4,313 FDIC-insured banks by their commercial real estate book at the June 2026 call report: total CRE, construction and multifamily in dollars and against equity and assets, noncurrent and net charge-off ratios, ROA, and two screens against the 2006 Interagency CRE guidanc
search_subsidised_housingSearch HUD's project-level Picture of Subsidized Households: 29,455 subsidised projects nationally, one row per project and programme, with units AVAILABLE (HUD's subsidised units available, which excludes units offline for rehab or disposition; occupancy is measured against thes
search_parcelsSearch the assessor parcel layer with filters instead of one exact address. Filter by state, municipality, assessor land use code, owner-occupancy, tax-exempt status, year built and assessed value range; results carry assessed value, gross building area, assessed value per square
what_can_dfx_answerTakes an objective in natural language and returns whether DFX can help, the tool name and arguments that answer it, and a free sample of the result. Says no clearly when the answer is no. Accepts objectives that do not yet map to a specific query. READ ONLY, and the annotation m
changes_sinceA feed of what is NEW since a cursor, ordered by when DFX learned it rather than by when it happened. The first call, made without a cursor, returns ZERO events and a starting position by design; a later call with that cursor returns what DFX learned in between. It answers what i
debt_maturity_scheduleFree, keyless and unauthenticated. Returns the LOAN rather than the event: for one US state and one forward window, up to 200 loans with maturity date, original and current principal, interest rate, lender name, instrument type, origination date and the secured property's address
dfx_coverageMeasured coverage, served sources, object types and the known gaps stated plainly, including where geography is a single state and where nothing carries a calibrated probability. It separates an empty result from an absent market. With NO arguments: the full grid, every event fam
search_family_officesFamily offices as compact cards: class (single, multi, embedded...) with confidence, whether they invest directly, sectors and asset classes on record, check size where stated, direct investment count, latest deployment, and counts of people, sponsor and real estate relationships
rank_family_officesTHE tool for any family office question with criteria (sector, check size, capital, sponsors, co-investors, recent events, geography, reachable people). Family offices ranked by a transparent weighted score over the criteria given. Each row carries reasons (what matched, citing c
get_family_officeThe full card for one family office: profile, AUM / RAUM / 13F value kept apart with their as-of dates, behaviour, the people who run it with roles, its observed investments, relationships, recent events, evidence rows and cross-graph links (same_as by shared CRD/CIK/EIN). Contac
search_family_office_investmentsDated investments family offices have been observed making: target, sector, asset class, structure, control or minority, lead or participant, amounts where disclosed (with basis), board seats, exits, and the source quote. Filter by office, sector, asset class, state, kind or sinc
search_independent_sponsorsVerified independent sponsor firms (deal-by-deal acquirers of lower middle market companies) as compact cards: verification status, classification, mandate summary, principals, vehicle count and latest vehicle, and how many companies resemble the sponsor's observed deals. Only fi
get_independent_sponsorThe full card for any entity on the sponsor graph: a sponsor (with its verification status, the companies resembling its observed deals as counted facts and reasons with no score, its announced transactions and its observed capital relationships), a capital provider (with fund si
search_sponsor_capital_providersSBICs, mezzanine and private equity funds, and family offices observed providing capital to independent sponsors: provider type, strategy, fund style, fund size and average investment (kept apart), vintage, SBIC licence, whether making new investments, mandate summary. Filter by
search_private_companiesUS private companies whose filings (Form 5500 plan history, final filings, ownership changes) record a change: vertical, plan participants as a size proxy, EBITDA band where derivable, and rule scores 0 to 100 for opportunity, dealability, transition readiness and urgency, each b
search_sponsor_dealsAnnounced acquisitions, recapitalisations and exits by independent sponsors: sponsor, target, dates, enterprise value range where disclosed, structure, parties and source. Filter by sponsor, target, type, state, since-date or name text. ACCESS: without a paid DFX plan on the vert
search_pending_ownership_changesOFFICIAL state records that a skilled nursing facility's ownership, control or operator is changing, before the change takes effect (Kentucky, New York, Rhode Island, New Jersey, Maine): facility, CCN, beds, current and proposed operator, real estate owner where public, the state
search_vc_firmsVenture firms as compact cards: stated sectors, stages, geography and check size beside OBSERVED behaviour (investments in the last 6 and 12 months, lead count, behaviour summary and divergence from the stated thesis), funds with the latest vintage and Form D, people and partner
get_vc_firmThe full card for any entity on the venture graph: a firm (with recent investments, co-investors and funds), a person (with attributed investments and board seats), a fund (with all seven fund amounts kept apart and its lifecycle state) or a portfolio company (with its investors)
search_vc_investmentsInvestor-by-investor participations in rounds: investor, company, fund, the partner attributed (with attribution level), role (lead or participant), new or follow-on, board seat, round type, stage and amount (the round's, never the check), and the source quote. Filter by investor
search_vc_fundsFunds with every amount under its own name (target, first close, final close, announced size, Form D offering and sold, ADV gross asset value), vintage and basis, lifecycle state, investor counts, LP count. Filter by manager, lifecycle, vintage range, strategy or Form D sold. ACC
search_pe_firmsPrivate equity firms (management companies and advisers) as compact cards: the classifier's class with its state, confidence and basis; size band with the evidence it was sized on; fund counts, latest vintage and Form ADV gross assets reported for private equity funds since 2024
get_pe_firmThe full card for a private equity firm: identity (website, HQ, ADV filing dates), classification with basis and the size band's definition and evidence, classification history, stated criteria (sectors, EBITDA, EV, equity check, control) kept apart from observed behaviour, funds
search_pe_fundsFunds on the private equity graph with every amount under its own name and beside its basis: target, first close, final close, announced size, Form D offering and sold, and the Form ADV gross asset value with its as-of date. adv_gross_asset_value is the gross assets the adviser R
get_pe_fundOne fund: manager, vintage and basis, every amount kept apart with its basis (adv_gross_asset_value is reported gross assets, not fund size or dry powder), the year-by-year Form ADV reporting tape (gross assets, owners, minimum investment, ownership percentages), LP commitments w
search_pe_transactionsAcquisitions, add-ons, recapitalisations, carve-outs, secondary sales and exits on the private equity graph: type, status, announced and closed dates, target with industry and state, platform for an add-on (with the basis for calling it one), control, every party with role, side
search_pe_platformsCompanies that act as a platform (a sponsor's platform investment, or a company that has made add-ons): industry, add-on counts (total and last 24 months) and latest add-on date, current owners with role, status and dates, ownership since, and the platform acquisition activity an
find_pe_buyers_for_companyComputed buyer_for_company matches from the private equity matcher for one company (a dfx:pe:, dfx:isi: or dfx:vc: company id): each firm with the matcher's reasons, blockers, why_now and comparable transactions verbatim, the deal partner where attributed, score, confidence, mode
find_pe_companies_for_buyerComputed company_for_buyer matches for one private equity firm (dfx:pe: id): each company (on the private equity, sponsor or venture graph, with its dfx id) with the matcher's reasons, blockers, why_now and comparables verbatim, score, confidence and computed date. NOT_COVERED wh
find_pe_addons_for_platformComputed addon_for_platform matches for one platform (a dfx:pe: company id from search_pe_platforms): each candidate company with the matcher's reasons, blockers, why_now and comparable add-ons verbatim, the platform's owner, score, confidence and computed date. NOT_COVERED when
search_riaRegistered investment advisers (Form ADV: RAUM, clients by type, employees, advisors on IAPD, private funds, class such as INDEPENDENT_WEALTH or WIREHOUSE), registered advisors (IAPD: current firm, registration history counts, exams, designations) and the private funds advisers r
get_ria_firmThe full card for one registered investment adviser plus its people flows (joins, departures, net, rates over 90 days, 12 and 36 months), growth between annual amendments (RAUM, employees, offices, funds one and three years back), offices (city, state, postal, employees), owners
get_ria_advisorOne IAPD-registered advisor: name, current firm with class and tenure, employment history as dated registration spans in order (firm, begin, end, current), every firm change as two registration dates (bulk re-registrations and departures included and labelled), the teams the pers
resolve_ria_advisorResolve an advisor by name AND a firm (name or CRD), or by individual CRD, to one person card. A name alone is never resolved to one person: 439,425 registrants share many names, so with only a name the answer lists labelled candidates and `resolved` is false. With a firm name, t
search_ria_fundsPrivate funds from Form ADV Schedule D 7.B.(1): fund name, SEC fund id (805-...), type, gross asset value with its as-of date (reported gross assets, NOT fund size or commitments), owners, minimum investment, ownership percentages, 3(c)(1) or 3(c)(7), master or feeder, first and

Recent checks

2026-09-28 09:15:58live · HTTP 2001071ms
2026-09-28 06:46:07live · HTTP 200240ms
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Link

https://exchange-production-9123.up.railway.app/mcp

Questions about DFX Real Estate Intelligence in Muse

How do I connect DFX Real Estate Intelligence to Muse?

Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use DFX Real Estate Intelligence to help me. It is a free service with an MCP server at https://exchange-production-9123.up.railway.app/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Is DFX Real Estate Intelligence working right now?

At the last check (September 28, 2026, 09:15 UTC) the endpoint was working, answering in 1071ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.

Is DFX Real Estate Intelligence safe to connect to Muse?

It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.

What can DFX Real Estate Intelligence do in Muse?

It exposes 40 tools, including resolve_address, resolve_organization, get_occupancy, get_property_record. For example, you could ask Muse: "Show me commercial real estate loans maturing in the next 18 months in Massachusetts with their lender names and current principal amounts."

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