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Model Match
Real Estate Agents

Where a competing agent works

An agent's ZIP-code footprint with volume and average price, for competitive scouting or recruiting to your team.

The prompt

Which ZIP codes does agent name, brokerage sell in most, and at what average price? Show their top 10 ZIPs by volume.

How it works

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

  1. 1 Looks up the person, company or place you named.
  2. 2 Maps the agent's sales by ZIP code with average price.
  3. 3 Writes up the answer: tables, rankings or a summary, depending on what you asked for.

Example result

A sample Austin agent, anonymized. 58 ZIPs on record. Run on Oct 18, 2026. Your numbers will differ with your market and the date you run it.

ZIP Volume Average price
78731 $28.7M$1.37M
78704 $20.3M$884K
78738 $13.6M$1.05M
78703 $11.3M$1.42M

Real Estate Agents

Find a proven lender partner

Look up agent name and brokerage and show which loan officers and lenders financed the most of their deals in the last 12 months. I'm looking for a loan officer who already closes with top producers.

The loan officers and lenders a top agent relies on, ranked by units and volume.

Real Estate Agents

ZIP market snapshot

Give me a market snapshot for ZIP 85255 for the last 90 days: number of sales, total volume, and average sale vs. list price, compared with the prior 90 days. I'll use it in a listing presentation.

Sales count, volume and average sale and list price against the prior period, ready for a listing presentation.

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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