A company's lender mix, showing how much it relies on its own label versus correspondent and wholesale partners.
Your assistant runs these steps against Model Match through the MCP:
Guild Mortgage Company LLC, last 12 months. Run on Oct 18, 2026. Your numbers will differ with your market and the date you run it.
| Lender | Share of volume |
|---|---|
| Guild Mortgage | 95.7% |
| Lendsure Mortgage | 0.6% |
| Citadel Servicing | 0.2% |
| OCMBC | 0.2% |
Capital Markets
Show the monthly average note rate by loan type (conventional, FHA, VA, HELOC) in Texas for the last 12 months next to the same months a year earlier, and flag where the spread between conventional and government loans has widened.
Monthly average rates for each loan type, with the prior-year series for comparison.
Capital Markets
Forecast purchase originations in Florida for the next 6 months, assuming the 30-year rate falls 1 point, and give me the p10/p50/p90 range.
24 months of history plus a 6-month forecast with p10, p50 and p90 bands, based on the rate path you choose.
Capital Markets
Pull the most recent FHA loans closed in Hillsborough County, FL over the last 90 days with note rate, loan amount, credit score, LTV, DTI, amortization type and channel, so I can eyeball pricing dispersion.
De-identified loan-level rows with rate, amount, credit score, LTV, DTI, term, amortization and channel, plus a total count.
Connect the Model Match MCP to your AI assistant and ask about loan officers, agents, lenders and markets in plain English, answered from real records.
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