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Model Match
Data Analysts

Credit profile by product

Average credit score for each loan type, with the sample size behind it.

The prompt

What is the average borrower credit score by loan type (conventional, FHA, VA, HELOC) in California over the last 12 months, and how many loans sit behind each average?

How it works

Your assistant runs these steps against Model Match through the MCP:

  1. 1 Breaks the market down by product or geography.
  2. 2 Writes up the answer: tables, rankings or a summary, depending on what you asked for.

Data Analysts

Purchase vs. refi mix trend

Break down mortgage volume in Mecklenburg County, NC by quarter for the last 24 months, split by purchase, refinance, construction and equity, and tell me which segment is gaining share.

Quarterly volume and units by transaction type, compared with the prior 24 months.

Bring Model Match into your AI assistant

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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