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AI Data Payout

Updated October 2026

Selling commercial real estate brokerage data for AI training: what it's worth and who buys it

Independent and sourced. We feature companies that pay us a referral fee. Our scores and reviews don't change for it. How we earn

Real estate brokers score 100 out of 100 on O*NET's email scale, and Mercor lists leases among the real estate records it wants.1,2

Commercial brokers marking up an offering memorandum in a glass-walled meeting room

A commercial deal takes months and leaves a thick trail. A tenant rep broker writes a requirements memo, tours a dozen spaces, sends proposals, negotiates an LOI line by line and then hands off to attorneys for the lease. An investment sales team writes a broker opinion of value, builds an offering memorandum, runs a marketing process, fields buyer questions in a data room and narrows bids to a best and final. Leasing agents for landlords track every prospect and every concession.

Those records are full of numbers and reasoning together: rent comps, concessions, cap rates, underwriting assumptions and the arguments made to each side. Mercor names real estate and lists leases, listings and inspection reports. OpenAI uses real estate brokers as a GDPval occupation. Much of what a commercial broker holds came to it under a confidentiality agreement, so separating the analysis the firm wrote itself from deal material is the work to do first.

This page is for office, industrial, retail and multifamily investment brokerages, tenant and landlord rep firms with ten or more employees. It covers a week of commercial records, which buyers fit, why NDAs and principals' data matter more here than in residential work, and what to ask.

US brokerages and agent offices with 10+ employees (commercial has no separate count)

3,6975

US brokerages and agent offices with 10+ employees (commercial has no separate count)

of them with 30+ employees

1,0705

of them with 30+ employees

O*NET email score for real estate brokers

100/1001

O*NET email score for real estate brokers

named by Mercor among the real estate records it wants

Leases2

named by Mercor among the real estate records it wants

Worth

What a brokerage's data may be worth

Set for a typical brokerage, 35 staff and 12 years of records. Move the sliders to match yours. Our estimate, not an offer.

Buyers

Which buyers want this data

Buyers whose own published rules fit commercial real estate brokerages. We can introduce you to the ones we work with.

Featured partners

  1. #1 in our ranking

    8.7 out of 10

    micro1

    Its 30 to 200 employee band fits many regional commercial firms, and it asks for templates and CRM and workflow metadata.10,4

    Typical payout
    $100K to $2M+, micro1 says7

    Watch out for: Says it removes personal details only "when relevant", so ask exactly how.11

  2. #2 in our ranking

    7.4 out of 10

    Polyshares

    Buys CRM, email and spreadsheets, and excludes data held on behalf of clients, which is the line confidential deal material sits on.12,3

    Typical payout
    $100K to $2M+, Polyshares says8
    Fees
    None, Polyshares says13
    Time to get paid
    An offer in 1 to 2 weeks, then paid in 30 to 60 days14

    Watch out for: Exclusive by default, and every deal it lists is exclusive with no end date.15,16

Everyone else we reviewed

By score, with full reviews. We have no referral agreement with these companies, so we do not link out to them.

  1. #3 in our ranking

    7.1 out of 10

    Mercor

    Names real estate and lists leases and listings, and connects to Outlook and Salesforce, common in commercial brokerages.2,17

    Typical payout
    Mercor does not publish a range18
    Fees
    None, Mercor says19
    Time to get paid
    By wire 2 to 4 weeks after signing20

    Watch out for: It confirmed a cyberattack in 2026, and class actions followed.21,22

We feature buyers that pay us a referral fee. Our scores and reviews don't change for it. How we earn. No buyer publishes prices by industry, so within each group the order is the same as in our main ranking.

Who wants this

Do buyers want commercial real estate brokerages?

No buyer publishes prices by industry, but their own intake forms show which industries they rate higher.

  • Troveo puts real estate or property in its second of four demand tiers: "Your industry carries above-average buyer demand."23
  • Polyshares takes real estate and property management, without marking it premium.24
  • VMS, a broker, gives real estate or property management standard weight when it estimates value.25

Which buyers take a brokerage your size

Shown for 35 staff, a typical brokerage. Ask whether contractors and part-time staff count.

  • micro1We can introduce you

    30+ employees (its partnership page says 30 to 200)26,10

    Takes 35 staff

  • PolysharesWe can introduce you

    No headcount rule; the length and texture of the record matter more27

    No size floor

  • ModeWe can introduce you

    20+ full-time US office staff (accounting firms 10+, law firms 6+)28

    Takes 35 staff

  • PewterWe can introduce you

    20+ staff and 3+ years; by industry, from 10+ (healthcare) to 50+ (manufacturing, finance)29,30,31

    Takes 35 staff

  • GreppedWe can introduce you

    No headcount minimum stated32

    No size floor

  • VentraWe can introduce you

    30+ US employees and 3+ years of records33

    Takes 35 staff

  • Mercor

    None stated34

    No size floor

  • Troveo

    No minimum stated; its estimator starts at 2035

    No size floor

  • Nyne

    20+ US W-2 employees and 3+ years36

    Takes 35 staff

  • Endless

    Roughly 30+ employees37

    Takes 35 staff

  • Supersoniq

    50+ employees and 5+ years38

    Too small at 35 staff

What buyers value

What in a brokerage's records buyers value

What buyers look for in your records, and what to talk through with your buyer before anything leaves your systems.

What in a brokerage's records buyers value
DataWhere it livesWhy a buyer values itRaise with the buyer
Offering memoranda and broker opinions of valueInDesign, Word, ExcelA property's story and pricing argued in writing, with the underwriting behind it.Owner financials received under confidentiality agreements.
LOIs and negotiation threadsEmail, WordDeal terms traded line by line between principals before the lawyers take over.Principals' names and deal economics.
Lease and sale compsExcel, comp databases, CRMThe firm's running record of what deals actually traded at, with notes on concessions.Comps licensed from data providers.
Tenant requirements and tour notesCRM (Buildout, Apto), emailWhat a tenant needs, the spaces seen and why each was rejected.Nothing specific
Pitch books and marketing plansPowerPoint, DriveHow a brokerage wins an assignment, written by its own team.Nothing specific

A week of records

A week of data at a brokerage

  • Monday: a broker opinion of value for an industrial building, with six sale comps and a cap rate argument.
  • Tuesday: four tours for a tenant rep client, each space written up with pros and cons.
  • Wednesday: an LOI for 20,000 square feet countered on free rent and tenant improvements.
  • Thursday: buyer questions answered in the data room for an offering in market.
  • Friday: a pitch book for a new listing assignment, built from the firm's template.

Process

How it works with each buyer

In each buyer's own words. Where a buyer publishes nothing, we say so.

micro1

What it buys
Internal docs, SOPs and playbooks, knowledge bases, project management workflows, internal comms, templates, CRM and workflow metadata, task histories4
Who qualifies
30 to 200 employees10
Offer range
$100K-$2M+ per data package; over $1M for unique data7
Personal data
PII removed "when relevant"11
Ownership
The company keeps ownership of its data and reviews samples before release39
Time to payment
Not published

Polyshares

What it buys
Slack, email, Drive, CRM, tickets, design files, calls and ERP12
Offer range
$100K-$2M+8
Personal data
A third-party PII partner scrubs data before it is licensed40
Excluded data
Data held on behalf of clients is excluded3
Fees
Charges sellers no fee13
Time to offer and payment
Offer 1-2 weeks after intake; paid Net 30-6014

Mercor

What it buys
Slack, Teams, Gmail, Outlook, Confluence, Salesforce, GitHub, Drive, Notion and 100+ other tools17
Who qualifies
Not published
Offer range
Not published18
Fees
No fees19
Security
SOC 2 Type II41
Time to payment
Wire 2-4 weeks after signing20

Selling or closing

Selling or closing your brokerage? License its data first

When a commercial brokerage is acquired or its principals retire, the buyer usually wants the producers and their relationships. The firm's comps database, templates and anonymized deal analysis are a different set of records. Before a deal, ask each licensing company which material it would treat as the firm's rather than its clients', and whether a license can close first.3,4

FAQ

Commercial real estate brokerages: questions, answered

  • Fewer, larger deals with businesses as principals, and far more confidential material. Mercor lists leases among the records it wants, which sit at the center of commercial work rather than residential sales.2

  • In our reading, it is often the firm's most distinctive record. Polyshares buys spreadsheets and CRM data, and micro1 asks for CRM and workflow metadata. Comps you bought from a data vendor are a separate question.12,4

  • Most of them, since buyers mostly want 20 to 30 or more employees and a few state no minimum. In 2022, 1,070 US brokerages had 30+ employees.26,36,42,43,44,35,5

  • OpenAI's GDPval benchmark includes real estate brokers and real estate sales agents among its 44 occupations, measuring AI on real work in the field.45

  • Polyshares says data held on behalf of clients is excluded. A memorandum built from an owner's confidential financials may fall under that; templates and anonymized analysis your team wrote are the safer starting point.3

  • No buyer publishes a commercial real estate price. Published ranges mostly run $100K to $2M, as the buyers' own claims. In our reading, a deep, well kept comps history and deal analysis library is what would place a firm higher.7,46,47,48

  • Every business is different, so this one is best talked through with the buyer you're working with. Their team goes over it with you before anything is signed.

  • Every business is different, so this one is best talked through with the buyer you're working with. Their team goes over it with you before anything is signed.

Before you sign

Every business is different, so these are best talked through with the buyer you're working with. Their team goes over them with you before anything is signed.

Questions for this kind of business

  • Which deals were marketed under confidentiality agreements, and are their files excluded?
  • How are principals, tenants and deal economics removed from email and LOIs?
  • Which comps and market data came from licensed providers?
  • Who owns this data: the company, an estate, or someone else?
  • Do customer, vendor or platform contracts, NDAs or API terms restrict this?

Questions for any buyer

  • Is the license exclusive, and for how long?
  • Can you sublicense the data, and to whom?
  • Which AI labs will receive it, and will you tell us?
  • How long do you keep it, and how is it deleted?
  • What is your liability cap, and who indemnifies whom?
  • Will the contract ban re-identification of people in the data?
  • Who removes personal data, by what method, and do we approve it first?

How this page was made

Figures come from the published sources listed below, and what a buyer says about itself is its own claim. Anything marked as our estimate is ours, not a buyer quote. Drafted with AI help from our research, then checked against each source. Updated October 2026.

We feature companies that pay us a referral fee. Our scores and reviews don't change for it. See how we earn and how we rank. This site does not give legal, tax or financial advice.

Sources (48)

  1. 1.O*NET OnLine, E-Mail work context. Accessed 14 Oct 2026.
  2. 2.Mercor Data. Accessed 14 Oct 2026. Company's own claim.
  3. 3.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  4. 4.micro1 Enterprise Data Partnership page. Accessed 14 Oct 2026. Company's own claim.
  5. 5.US Census Bureau, Statistics of US Businesses 2022. Accessed 14 Oct 2026.
  6. 6.Forbes, published 16 Apr 2026. Accessed 14 Oct 2026.
  7. 7.micro1 company referral page. Accessed 14 Oct 2026. Company's own claim.
  8. 8.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  9. 9.Bloomberg Law, published 17 Aug 2026. Accessed 14 Oct 2026.
  10. 10.micro1 Enterprise Data Partnership page. Accessed 14 Oct 2026. Company's own claim.
  11. 11.beri.net, published 10 Oct 2026. Accessed 14 Oct 2026.
  12. 12.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  13. 13.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  14. 14.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  15. 15.Polyshares data handling page. Accessed 14 Oct 2026. Company's own claim.
  16. 16.Polyshares track record page. Accessed 14 Oct 2026. Company's own claim.
  17. 17.Mercor Data page. Accessed 14 Oct 2026. Company's own claim.
  18. 18.Mercor Data page. Accessed 14 Oct 2026. Company's own claim.
  19. 19.Mercor Data page. Accessed 14 Oct 2026. Company's own claim.
  20. 20.Mercor Data page. Accessed 14 Oct 2026. Company's own claim.
  21. 21.TechCrunch, published 31 Mar 2026. Accessed 14 Oct 2026.
  22. 22.HR Dive, published 13 Apr 2026. Accessed 14 Oct 2026.
  23. 23.Troveo business data assessment. Accessed 14 Oct 2026. Company's own claim.
  24. 24.Polyshares intake catalog. Accessed 14 Oct 2026. Company's own claim.
  25. 25.VMS data licensing page. Accessed 14 Oct 2026. Company's own claim.
  26. 26.micro1 company referral page. Accessed 14 Oct 2026. Company's own claim.
  27. 27.Polyshares. Accessed 14 Oct 2026. Company's own claim.
  28. 28.Mode company data site. Accessed 14 Oct 2026. Company's own claim.
  29. 29.Pewter website. Accessed 14 Oct 2026. Company's own claim.
  30. 30.Pewter partner update to AI Data Payout (email, 2026-10-15), published 15 Oct 2026. Accessed 15 Oct 2026. Company's own claim.
  31. 31.Pewter partner update to AI Data Payout (email, 2026-10-15), published 15 Oct 2026. Accessed 15 Oct 2026. Company's own claim.
  32. 32.Grepped business page. Accessed 14 Oct 2026. Company's own claim.
  33. 33.Meta Ad Library, Ventra page. Accessed 14 Oct 2026. Company's own claim.
  34. 34.Mercor Data. Accessed 14 Oct 2026. Company's own claim.
  35. 35.Troveo business data page. Accessed 14 Oct 2026. Company's own claim.
  36. 36.Nyne sell-company-data page. Accessed 14 Oct 2026. Company's own claim.
  37. 37.Endless website. Accessed 14 Oct 2026. Company's own claim.
  38. 38.Supersoniq website. Accessed 14 Oct 2026. Company's own claim.
  39. 39.beri.net, published 10 Oct 2026. Accessed 14 Oct 2026.
  40. 40.Polyshares website. Accessed 14 Oct 2026. Company's own claim.
  41. 41.Mercor Data page. Accessed 14 Oct 2026. Company's own claim.
  42. 42.Cognor Labs partners page. Accessed 14 Oct 2026. Company's own claim.
  43. 43.Goldmined.ai check page. Accessed 14 Oct 2026. Company's own claim.
  44. 44.Mercor Data page. Accessed 14 Oct 2026. Company's own claim.
  45. 45.OpenAI, GDPval paper (Table 1). Accessed 14 Oct 2026.
  46. 46.Cognor Labs partners page. Accessed 14 Oct 2026. Company's own claim.
  47. 47.Ventra company data page. Accessed 14 Oct 2026. Company's own claim.
  48. 48.Jottings how we get paid page. Accessed 14 Oct 2026. Company's own claim.