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Valuations rest on owner-reported data.
A public valuation inherits a private party’s incentives.
For Government Agencies · CompStak One Connect
Asking rents show what landlords want. CompStak shows the leases and sales that actually closed in your jurisdiction, verified by analysts before the data reaches your team.
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A public valuation inherits a private party’s incentives.
Zoning gets set on conditions that have already changed.
A policy written to one rent environment outlives it.
CompStak One Connect answers each of these with verified, analyst-reviewed comps.
Get StartedActionable lease and sale comps support accurate NOI and data-driven budget allocation decisions, with analytics to monitor the properties you oversee.
Get StartedComp set · concessions
Office · Class A · Gotham CBD
Describe a space in Rent Predictor and get the Estimated Starting Rent Today with the comps behind it, including in submarkets where recent transactions are sparse.
Get StartedRent Predictor · model input
Thin submarket · subject space
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“Write a market conditions summary for Gotham CBD office: starting rent, concessions, and occupancy over the last four quarters.”
Median starting rent $82.00. Free rent 10 months. Landlord work $95.00/SF. Occupancy held at 91%.
Rent Predictor and Agent Connect are available on CompStak One Connect.
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.
“Write a market conditions summary for Cook County office and industrial: rents by submarket over the last three years.”
“List industrial leases over 50,000 SF signed in DeSoto County in the last two years, for the economic development report.”
“How many industrial sales closed in Phoenix each year since 2021, and at what median price per SF?”
“Build a lease term benchmark by space type for Seattle to inform the leasing policy review.”
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.
Across the asset types you work with:
*Multifamily data powered by RealPage
Each comp goes through a multi-step data verification process.
40,000+ verified CRE professionals at brokerage and appraisal firms submit comps daily. Transaction data is received and reviewed multiple times.
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.
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.
Verified lease and sale records with net effective rent, concessions, cap rate, and NOI: the evidence behind planning, valuation, and budget decisions.
Yes. Records can be filtered to the submarkets and property types your jurisdiction covers, across 105 US markets.
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.
Rent Predictor, which estimates rent where recent transactions are sparse, and Agent Connect, which writes market conditions summaries inside Claude, ChatGPT, Gemini, or Copilot.
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.