Marketproof
How it works

18 real-estate capabilities
that turn ideas into action.

Marketproof MCP gives your AI agent 18 specialized capabilities for NYC real estate — from finding comps to drafting owner outreach. You don't pick what to run. You ask a question. The AI decides what to use.

1

Connect your AI agent

One-time setup. Authorize Claude, ChatGPT, Copilot, Perplexity, or any other AI agent to use Marketproof's capabilities on your behalf.

~2 minutes
2

Ask in plain English

"Find owners in Tribeca who've held 10+ years and draft outreach." No filters, no SQL, no CSV exports. Just type what you want.

How you already work
3

Your AI does the work

Behind the scenes, your AI picks the right capabilities, pulls the data from Marketproof, and hands you back a ready-to-use answer, email, or list.

Seconds, not hours

Look up a property, building, or place

Pull up any NYC address, condo, co-op, or neighborhood on demand.

Find a building or neighborhood by name

autocomplete

Type a partial address, building name, or neighborhood and get back the exact match, so everything that follows is pointed at the right place.

Try: "Is there a building called The Greenwich Lane?"

Search buildings

search_buildings

Find new developments, resale buildings, or pipeline projects across NYC. Filter by price, size, developer, year built, and more.

Try: "Show me Manhattan new-dev condos with starting prices over $5M."

Search individual units

search_inventory

Look for specific apartments across buildings, with bed/bath/price filters. Covers active listings, in-contract, sold, and shadow inventory.

Try: "Find 2-bedroom condos under $3M in Chelsea with outdoor space."

Get full building details

get_building_details

Everything we know about a single building: amenities, unit mix, sales history, sponsor info, and pricing stats, all in one call.

Try: "Give me the full profile on 432 Park Avenue."

Get full unit details

get_property_details

Deep-dive on a specific apartment: square footage, layout, pricing history, tax info, and current status.

Try: "Pull everything you have on 15 CPW, apartment 19A."

Browse neighborhoods & markets

get_geographies

List NYC boroughs, neighborhoods, and major markets. Useful when you want to slice the market in a specific way.

Try: "What Brooklyn neighborhoods do you cover?"

Understand the market

Closed sales, price trends, contract activity, and inventory. Always current.

Search closed sales

search_sales

Pull historical closings with all the filters you'd expect: borough, price, bedrooms, date range, broker, building, and more.

Try: "List every UES 3-bedroom that closed for over $8M in the last 12 months."

Run a sales analysis

sales_analysis

Price trends, $/sqft trends, discount trends, and borough comparisons, aggregated into monthly, quarterly, or annual buckets.

Try: "How has $/sqft for Tribeca condos trended quarterly over the last 3 years?"

Analyze contract & listing activity

contract_analysis

The real-time pulse: contracts signed, new listings, and market momentum, broken down by neighborhood or ZIP.

Try: "Compare weekly contract activity in Williamsburg vs. DUMBO this quarter."

Analyze new-development inventory

inventory_analysis

What's on the market in new developments, across boroughs, neighborhoods, and bedroom counts. Updated monthly.

Try: "How much new-dev 2-bedroom inventory is available in Queens right now?"

Search DOB construction permits

search_permits

Issued permits and pre-issuance filings from NYC DOB: new buildings, demolitions, alterations, and trade work. Filter by location, date, applicant, permittee, or owner.

Try: "Show new-building permits filed in Brooklyn this year, sorted by most recent."

Pull a permit's full details

get_permit_details

Given a DOB job number, returns the full record from each of the three permit cores: applicant and owner contact info (email, mobile, business address), descriptions of work, and architectural details (heights, dwelling units, occupancy, costs).

Try: "Get the full details and applicant contact for job M01284142."

Find the right people

Owners, brokers, and deal professionals, segmented by the signals that matter.

Find owners to reach out to

search_owner_outreach

Surface owners by ready-made cohorts: long-time holders, new owners, LLC owners, absentee owners, pied-à-terre, lis pendens, expiring abatements, and more.

Try: "Find 10 long-time UES owners in condos with 2+ baths."

Find off-market properties

search_expired_listings

Listings that came off the market without closing, whether temporarily off, permanently off, or expired. Ideal for re-listing opportunities.

Try: "Which Tribeca condos expired in the last 90 days and never re-listed?"

Find brokers by track record

search_broker_outreach

Rank brokers by what they actually close: luxury specialists, co-op experts, new-dev leaders, townhouse pros, recent-transaction leaders.

Try: "Who are the top 5 ultra-luxury brokers in Manhattan last quarter?"

Find deal professionals

search_deal_participants

Listing agents, buyers' attorneys, lenders, loan officers, and title companies, ranked by closed-deal volume in any market slice.

Try: "Top 10 buyers' attorneys on Brooklyn condo closings over $2M."

Verify an agent's license

search_agent_licenses

Check a NY State real-estate license against the Department of State registry, by license number for direct verification or by name for fuzzy lookup.

Try: "Is Jane Smith's NY real-estate license active?"

Reach them

Turn an owner row into a real conversation.

Look up owner contact info

skip_trace

Given a name and address, look up phone, email, and mailing address, so your AI can actually draft the email or text.

Try: "Skip-trace Jane Doe at 123 Main St, NY 10001."

The power is in chaining them together

You don't call these one at a time. Your AI combines them automatically to get a real deliverable.

You ask

"Find 10 long-time UES condo owners, pull their contact info, and draft a personalized outreach email for each."

Step 1

search_owner_outreach finds 10 owners matching the criteria.

Step 2

skip_trace looks up phone and email for each owner.

Step 3

get_building_details grabs each owner's building profile so the email can reference specifics.

Output

10 personalized, ready-to-send emails in your inbox, each referencing the owner's building, tenure, and a specific angle for why to sell now.

Ready to put it to work?

Grab a credit pack and connect your AI agent in minutes. No subscription, you pay only for what you use.

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