Pull Crexi sales comps for a valuation or BOV

1. From the Crexi home page open Comps & Records, enter the location and filters and run the search (Crexi labels this a Pro/Intelligence feature).
2. Select the comps you want by hand, then click Export and choose whether to include contact information, which costs credits.
3. Name the file, pick the format, click Export, then View Exports to wait for the file in the Exports section.
4. Download the file, open it in Excel, delete the sales that do not fit and work out price per square foot and the cap rate range.
5. Do it again for the next subject, or when the seller asks for a tighter radius. Comps you used last time live in a Saved Properties group only if you remembered to save them.

Pull industrial sales comps within the Austin area of 1200 Oak Street from the last 2 years, keep buildings between 20,000 and 50,000 sq ft, and give me the price per square foot and cap rate range.

1. 01

   Set the subject first

   The agent asks for the address, property type and size if you did not give them, because a comp set without a size band is not useful for value. It then calls search_comps with the location, type and a sold_after date.

2. 02

   Trim to real comparables

   Results outside the size band you set, sales without a sale price and portfolio sales are set aside. The agent keeps a short list, usually under a dozen, and says how many it dropped and why.

3. 03

   Work out the ranges

   For the kept comps the agent computes price per square foot and gives the low, median and high, plus the cap rate range where a closing cap rate is reported. A comp with no cap rate counts for price only.

4. 04

   Flag what needs a second look

   A sale far above or below the others, or a sale older than the window you asked for, is listed separately. Asking price against sale price is shown where both exist, as a hint of how the market negotiated.

5. 05

   Hand over a grid you can paste

   The result is one row per comp: address, sale date, sale price, size, price per square foot, cap rate and listing broker. Nothing is saved or exported in your Crexi account.

Subject: 1200 Oak Street, Austin, TX, industrial, 32,000 sq ft. Sales since Oct 2024.
19 comps found, 8 kept (20,000 to 50,000 sq ft, sale price reported).
Price per sq ft: low $118, median $136, high $161.
Closing cap rate: 6.2% to 7.4% on 5 comps.
2210 Industrial Blvd: $4.2M, 31,000 sq ft, $135/sq ft, 6.8%, sold 12 Jun 2025, 3.4% under asking.
Set aside: 1 portfolio sale, 10 outside the size band.

• Crexi sales comps sit in Comps & Records, which the Crexi help center labels a Pro/Intelligence feature rather than part of a basic account.
• Crexi charges credits when a comps or property records export includes contact information, and shows the credit usage before the export runs.
• Crexi saves comp sets in Saved Properties > Comps & Records groups, which can be printed with the Print button or exported again from the three-dot menu.
• Crexi delivers comp exports through the same Export hub as lead reports, with Pending, Generating, Completed and Error statuses, in CSV or Excel.

Every tool here only reads, so it can run on a schedule from n8n, Make, Zapier or cron without waiting for your OK.

Sources: Crexi Help Center: How to export comps and property records · Crexi Help Center: Exporting data

curl https://cotlet.dev/api/v1/crexi/search_comps \
  -H "Authorization: Bearer $COTLET_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"location":"1200 Oak Street, Austin, TX 78701","property_type":"Industrial","sold_after":"2024-10-01"}'

{
  "comps": [
    {
      "address": "2210 Industrial Blvd, Austin, TX 78744",
      "property_type": "Industrial",
      "sale_date": "2025-06-12",
      "sale_price": 4200000,
      "asking_price": 4350000,
      "cap_rate": 6.8,
      "square_feet": 31000,
      "listing_broker": "Example Realty"
    }
  ],
  "next_cursor": null
}

MCP: add https://cotlet.dev/mcp/v1 with the same key; the tool is crexi_search_comps. Example data.

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