Industry guide

Transaction files to closings: brokerage records AI labs license

A brokerage's transaction files record every step from listing to close: the pricing argument, the offers, the inspection negotiation and the compliance review. That full arc is valuable to AI companies building real estate agents.

Most of it already sits in a transaction management system such as Dotloop or SkySlope, a CRM, email and text. Buyers want the written trail of how your team actually does the work, so most owners lead with SOPs and training material, then add day-to-day records once personal details are dealt with.

AI Data Offers research deskChecked against our methodology Updated October 28, 2026 5 min read 12 sources
Key figure
3,697
Buyers' published range
$100K to $2M+
Time to a written offer
Days to 2 weeks
Owner time, per buyers
1 to 3 hours

01 / What buyers value

Records a buyer will look for at a brokerage

  • Transaction files and checklists

    Where it lives

    Transaction management

    Why a buyer wants it

    Every step to close

    Raise first

    Client details

  • Offer and negotiation threads

    Where it lives

    Email and text

    Why a buyer wants it

    How deals are made

    Raise first

    Prices and names

  • Listing presentations and pricing

    Where it lives

    Docs and CRM

    Why a buyer wants it

    How homes are priced

    Raise first

    Seller details

  • Lead follow-up and CRM notes

    Where it lives

    CRM

    Why a buyer wants it

    Nurture and conversion

    Raise first

    Contact details

  • Compliance reviews and training

    Where it lives

    Shared drive

    Why a buyer wants it

    Broker oversight

    Raise first

    Agent names

02 / Value

Putting a number on a brokerage's data

No buyer publishes a price list by industry. What they do publish is a range for a whole company: micro1, Polyshares and Ventra each advertise deals from roughly $100K to $2M or more, and Pewter's licensing partner cites examples between $350K and $650K. Read those as the buyers' own marketing figures, not offers.

For a brokerage of about 25 people, three things move the number most: how many years of history you have, how much of the work is written down in one place, and how cleanly client and employee details can be removed. Try the worth estimator for a range based on your size.

03 / Buyers

Which buyers take real estate brokerages

On Troveo's intake form, the closest category ("real estate or property") sits in the second of its four demand tiers, which it describes as above-average demand. Polyshares accepts real estate and property management, though it does not mark it as premium.

  • micro1

    Published size rule

    Asks for at least 30 staff, with no upper limit

    A 25-person brokerage

    Too small at 25

  • Mode

    Published size rule

    At least 20 full-time US office employees, or 10 for accounting and 6 for law

    A 25-person brokerage

    Fits at 25

  • Nyne

    Published size rule

    At least 20 W-2 staff in the US and three years of history

    A 25-person brokerage

    Fits at 25

  • Pewter

    Published size rule

    At least 20 people and three years, with a higher bar in some sectors

    A 25-person brokerage

    Fits at 25

  • Ventra

    Published size rule

    At least 30 US staff and three years of data

    A 25-person brokerage

    Too small at 25

  • Endless

    Published size rule

    Around 30 people or more

    A 25-person brokerage

    Too small at 25

  • Polyshares

    Published size rule

    No headcount floor; it weighs how deep the record goes

    A 25-person brokerage

    No size floor

  • Mercor

    Published size rule

    Publishes no minimum

    A 25-person brokerage

    No size floor

  • Troveo

    Published size rule

    Publishes no minimum (its calculator begins at 20)

    A 25-person brokerage

    No size floor

Checked against a typical brokerage of 25 people. Ask each buyer whether contractors and part-time staff count.

Some buyers pay us a referral fee. It never changes your price, and it never changes the order of our rankings.

04 / Typical week

What one ordinary week produces

  • Monday: a listing presentation with a pricing analysis.
  • Tuesday: three offers on one home.
  • Wednesday: inspection response negotiated.
  • Thursday: compliance review of two files.
  • Friday: new agent training session.

Illustrative. Multiply one week by every year you have kept, and that is the record a buyer is looking at. The written decisions matter more than the totals.

05 / Segments

Segments within real estate brokerages

  • Residential brokerages: Offer packages, inspection negotiations and TC checklists are what buyers want from residential brokerages. Who buys and how to protect clients.
  • Commercial real estate brokerages: OMs, LOIs, tour notes and pitch books from commercial brokerages are licensable to AI labs. What to exclude and who buys.

06 / Process

How a deal works

  1. 1

    Check the fit

    Answer a few questions about headcount, years of records and the systems you use. No files change hands.

  2. 2

    Inventory call

    A buyer walks through what you hold and what it wants. Most say the owner spends one to three hours in total.

  3. 3

    Written offer

    Buyers usually send terms within days to two weeks: price, scope, term and whether the deal is exclusive.

  4. 4

    Clean and deliver

    Personal details are removed under the agreed method, then a copy is exported. Your originals stay where they are.

  • micro1

    What it asks for

    Procedures, internal wikis, project and task history, CRM activity

    Offer and payment

    Up to 30 days to review, then paid within 30 days of invoice

    Ask about

    Its master terms describe a perpetual license. It says it strips personal details "when relevant", so ask exactly how.

  • Ventra

    What it asks for

    Mainly inboxes, recorded calls and helpdesk tickets

    Offer and payment

    Offer in 3 to 7 days, then net 30 or 60

    Ask about

    Its terms warn it may be unable to erase data after delivery.

  • Polyshares

    What it asks for

    Inboxes, recorded calls, helpdesk tickets and ERP extracts

    Offer and payment

    Offer in 1 to 2 weeks, paid in 30 to 60 days

    Ask about

    Licenses are exclusive by default.

  • Pewter

    What it asks for

    Operating records for the industries on its list

    Offer and payment

    No fee to the owner, it says

    Ask about

    Launched October 2026 by a Florida sales agency. Its licensing partner, not Pewter, signs and pays.

In each buyer's own published words. Terms change, so confirm them in writing before you sign.

07 / Timing

If you are selling or winding down

A data license can sit alongside a sale or a wind-down. If you are selling the business, agree with the acquirer who keeps the right to license the archive. If you are closing down, keep the workspace and inboxes alive until a buyer has seen them. A closed company is not out of options: SimpleClosure reports more than 150 completed sales of shut-down startups' archives.

FAQ

Questions, answered

Can we license MLS data?

Probably not. MLS rules usually restrict it. Your own transaction files, notes and training are a different matter.

Do agents need to agree?

Check your independent contractor agreements. Records created in agents' own CRMs may not be the brokerage's.

Is a 25-person brokerage big enough?

6 of the 9 buyers in our size check take a brokerage that size, going by their own published rules. Below 20 people your options narrow to the buyers with no stated minimum.

Do we lose our records if we license them?

No. A license gives the buyer a copy for agreed uses and your originals stay put. Read the term and deletion clauses closely: micro1's master terms describe a perpetual license, and Ventra warns it may be unable to erase data after delivery.

Find the buyers that fit your company

Answer a few questions about your size, tools and history. We show which buyers want a company like yours. Free, no files.

Keep reading

Sources

Every number on this page links back to one of these.

  1. 1arxiv.org: 2510.04374v1arxiv.org
  2. 2onetonline.org: 4.C.1.a.2.honetonline.org
  3. 3Troveo: Business data programtroveo.ai
  4. 4Polyshares: Sell company datapolyshares.com
  5. 5micro1: Company referral programmicro1.ai
  6. 6Beri: micro1 enterprise data partnerships, terms and risksberi.net
  7. 7Mode: Data program requirementsdata.mode.inc
  8. 8Nyne: Sell company datanyne.ai
  9. 9Pewter: Company data licensingpewterdata.com
  10. 10Pewter: Partner examplespewterdata.com
  11. 11Ventra: Company datajoinventra.com
  12. 12US Census Bureau: Statistics of US Businesses, 2022www2.census.gov

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