Help us direct you to the right place to sign up
Textbook examples aren’t deal data.
Students learn a market that was cleaned up for the textbook.
For Universities · CompStak One Connect
Put real transactions in front of your students.
Textbook examples age fast. CompStak gives faculty and students the same lease and sale records investment firms use, going back more than a decade.
Trusted by the leaders in commercial real estate
What researchers miss without verified comps.
Sources that can’t be replicated.
Research that can’t be sourced can’t be published.
Graduates learn the platform on the job.
The first month of an analyst’s job is spent on tools school skipped.
CompStak One Connect answers each of these with verified, analyst-reviewed comps.
Get StartedTransaction data for coursework and published research.
Develop courses with actual transaction data.
Create case studies focused on valuation, lease rollover, market analysis, and risk mitigation using live comp data.
Get StartedCase study · lease comps
Gotham CBD office · Class A
Comps14
Median NER$75.50
Median term10 yr
Markets1
TenantSFStartingNER
Belobrovka Analytics42,000$82.00$75.50
Comp Advisory Group18,400$79.50$73.10
Stak Capital Partners25,000$84.00$77.25
Teach rent estimation on live data.
Students describe a space in Rent Predictor and get the Estimated Starting Rent Today with the comps behind it, so the estimate can be checked against the evidence.
Get StartedRent Predictor · model input
Subject space · comps behind the estimate
Est. starting rent today$82.00
Range$78.00–$86.00
Comps used14
Underwritten$80.00
CompSFStartingNER
Belobrovka Analytics42,000$82.00$75.50
Comp Advisory Group18,400$79.50$73.10
Stak Capital Partners25,000$84.00$77.25
Run the analysis where your team already works.
Query CompStak comps from ChatGPT, Claude, Gemini, or Copilot through the Agent Connect MCP server, and join them against your own records. Statistics and trends are free; pulling the underlying records counts toward your weekly comp limit.
Get Started“Build a teaching dataset of Class A office lease comps in Gotham CBD signed since 2024, with NER and concessions.”
28 comps. Median NER $75.50. Free rent 8–12 months. Dataset ready to join to a course workbook.
FieldMedianRangen
NER$75.50$70.20–$79.4028
Starting$82.00$76.50–$88.0028
Rent Predictor and Agent Connect are available on CompStak One Connect.
Ask for the research extract in your own words.
Agent Connect puts CompStak inside Claude, ChatGPT, Gemini, and Copilot. Ask the way you’d ask an analyst, and the work comes back with its source comps attached.
“Build a teaching dataset: Manhattan office leases since 2015 with starting rent, effective rent, and term, summarized by year.”
Returns
Breakdown + records
“Test whether free rent on Chicago office leases over 10,000 SF rose after 2020, with the distribution before and after.”
Returns
Distribution chart
“Prepare a case study on 1 Vanderbilt Avenue: its leases, its comp set, and how Grand Central rents moved around each signing.”
Returns
Case study draft + comps
“Summarize average lease term by space type in Chicago over the last five years, for a lecture on lease structure.”
Returns
Breakdown table
Every field a researcher can cite.
Access verified lease, sale, loan, and property data across major CRE asset types in 105 markets, with the details to analyze markets, value assets, and underwrite opportunities.
Net Effective Rent
Free Rent
Escalations
Tenant Improvements
+ more
Cap Rate
NOI
Price PSF
Buyer & Seller
+ more
Building Class
Size & Floor
Year Built
Landlord
+ more
Lender
Maturity Date
Origination
Loan-to-Value
+ more
Across the asset types you work with:
Office
Retail
Industrial
Multifamily*
Flex
R&D
Land*Multifamily data powered by RealPage
CRE data straight from the source.
Each comp goes through a multi-step data verification process.
400 Mandel Street, Gotham, NY
Belobrovka Analytics · Office
SizeRentTerm
400 Mandel Street, Gotham, NY
Belobrovka Analytics · Office
SizeRentTermNet effective
Verified memberReviewed on intake
One building resolvedEvery party matched
1400 Mandel Industrial PkwyHeld for review
Deal participantsProperty record
-
Community Sourcing
40,000+ verified CRE professionals at brokerage and appraisal firms submit comps daily. Transaction data is received and reviewed multiple times.
-
AI & Machine Learning
Machine learning and statistical anomaly detection flag figures outside the expected range for the market and building. CRE Ontology resolves the address to one building and matches every party on the deal to a verified entity. Flagged records are held for review.
-
Analyst Verification
Our team of CRE research analysts review and verify data daily. They cross-check each transaction against deal participants and property records. Data is never estimated or blindly added to the system.
How other CRE teams use CompStak.
Questions about CRE data for universities.
Can universities use CompStak data for research?
Yes. Lease and sale records carry documented sourcing and verification, with history deep enough for longitudinal study.
What can students build with transaction data?
Case studies and coursework on actual leases and sales, using the same fields practitioners work from: net effective rent, free rent, landlord work, cap rate, and NOI.
How does CompStak verify its comps?
Every comp is processed by a multi-step data verification system, including machine learning algorithms, statistical anomaly detection, and a team of CRE data analysts. Read more about our data standard.
What does CompStak One Connect add for faculty and researchers?
Rent Predictor, which estimates starting rent for any space, and Agent Connect, which pulls a teaching dataset from a question in your own words inside Claude, ChatGPT, Gemini, or Copilot.
How much CRE data does CompStak have?
CompStak has collected 4M+ versions of lease and sale comps across 105 US markets, contributed by more than 40,000 verified CRE professionals and reviewed by CompStak’s analyst team.