Ask in plain English
Type the question you'd ask a top performer on your team.
The AI that knows mortgage and real estate.
Ask in plain English. Model Match searches 6+ billion mortgage and real estate records and hands back the agents worth partnering with, the borrowers coming back into play, and the answers behind both.
Built for loan officers and the sales managers behind them.
Trusted by over 25,000 industry professionals:
How Ask Model Match works
One question in. Your next move out.
Search 6+ billion records
Loans, lenders, and agents nationwide — surfaced in seconds.
Act in one click
Send results to your CRM, Outlook, or Google Sheets.
Grounded in your data
Every answer ties back to a real mortgage record
Answers come from the loan, agent, and property records your team already uses — not the open web. Each claim links to its record: verify it, push the contact to your CRM, or keep digging.
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What's the mortgage history for 418 Maple Crest Ave in Hickory?
Searching property records in Hickory, NC (28601):
Property · id: property_mm_37035370319 2.4s
418 Maple Crest Ave, Hickory, NC 28601
Owner: Daniel & Maya Okafor
Current mortgage balance: $264,517 · 5.4% rate
Last sale: Jan 2020 · $250,000 (listed $249,900)
Listing agent: Maria Vance · Blue Ridge Realty
Property record
Loan record
Agent profile
Refine in conversation
Follow up without rebuilding filters
Narrow by lender, ZIP, loan type, or date range — conversationally. Ask Model Match keeps the context, so a broad question becomes a focused outreach list in a few back-and-forths.
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Who are the top buyer agents in Mecklenburg County this year?
Top buyer agents · Mecklenburg County, 2026
1 Priya Nair
2 Marcus Delgado
3 Hannah Brooks
Just the ones doing mostly FHA deals
Keeping your Mecklenburg County + 2026 filters, narrowing by loan type:
1 Marcus Delgado 64% FHA
2 Hannah Brooks 52% FHA
What you can ask
Ask the questions that move your pipeline.
Find your next refi
Past borrowers whose rate, equity, or recent listing puts a refinance back in play.
Reach refi-ready borrowers
Phone, email, and mailing address for the borrowers you surface — ready for your CRM or dialer.
Court the right agents
Buyer agents whose deal flow lines up with the loans you want to write.
Steal share from competitors
Lenders losing ground in your market — and the agents up for grabs.
Bring Model Match to your AI
One config and Claude or ChatGPT can query your data
Drop the Model Match MCP server into your assistant and it can search originators, pull market signals, and analyze loans — no copy-paste, no stale exports, no integration code.
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Added MCP server “modelmatch”
search_originators · market_signals · analyze_loans — ready in your assistant
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Your account, your permissions
Live data, no scraping, no surprises
Queries run as your authenticated account. Your assistant sees only what you'd see in the app — current with your subscription, and nothing leaks to the open web.
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How did my team's funded volume trend in May?
Team Volume · authenticated as you 1.8s
Your team · May 2026
Funded volume: $48.3M · up 6% from April
Units: 132 loans · 9 loan officers
Strongest market: Charlotte metro · 41% of volume
Scoped to your seat's permissions — the same data you'd see in the app, nothing from the open web.
Mortgage market intelligence, one question away
Start a 14-day free trial and ask Model Match about the borrowers ready to refinance, the agents worth courting, and the loan officers moving your market.
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