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Prospect lists go stale fast.
A contact list ages out faster than the sales cycle closes.
For Business Development · CompStak One Connect
Know which tenants are in market before the requirement goes public. Search by expiration date, size, and industry, and build the list before your competitors do.
Trusted by the leaders in commercial real estate
A contact list ages out faster than the sales cycle closes.
A pitch that ignores the lease economics reads like every other one.
A published trend reaches your competitors on the same day.
CompStak One Connect answers each of these with verified, analyst-reviewed comps.
Get StartedSearch by transaction size, commencement date, lease expiration date, and tenant information to surface the companies most likely to need you next.
Get StartedTenant search · expirations
Gotham CBD · 20,000+ SF · next 18 months
Rent Predictor returns the Estimated Starting Rent Today for a target building’s space, so you walk in already understanding the tenant’s economics.
Get StartedRent Predictor · model input
Target building vacant 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“Build a target list of office tenants in Gotham CBD with 20,000+ SF expiring in the next 18 months.”
42 tenants / 1.1M SF. 11 expire in the next two quarters. List includes industry and current NER.
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.
“Build my Q4 target list: office tenants over 10,000 SF in Atlanta with leases expiring in the next 18 months.”
“Which tenants at 55 Hudson Yards have leases expiring in the next 24 months? I’m pitching the building.”
“List every Google lease in Manhattan so I can plan the account approach.”
“Which industrial tenants signed leases over 100,000 SF in New Jersey in the last 12 months?”
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.
Search lease expiration dates by market, tenant industry, and transaction size to see which tenants come to market next.
Tenant name, industry, transaction size, commencement date, and lease expiration date, on the lease record for the space they occupy.
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 shows what a target building’s space would lease for today, and Agent Connect, which turns a search into a working target list 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.