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Your app
Commercial real estate data, delivered into your systems.
Integrate verified lease, sale, property, and loan data into your models, warehouse, and workflows by API, MCP, or scheduled feed.
Pick your delivery method.
Same verified dataset behind CompStak One. Pick the delivery that fits how your team builds.
Your app
API
On schedule
Warehouse
Data FeedAverage NER in Gotham over time?
NER is $87.06 today, up from $82.54 4 years ago.
MCPCRE data APIs for whatever you’re building.
Four APIs, one verified dataset. Query a market, price a space, look up a property, or standardize your own records. Best for custom integrations and fine-grained query control.
Market Insights API
Track average rents and concessions for the markets and submarkets that matter to you, leveraging CompStak’s proven market and submarket definitions or your own custom-defined polygons.
Deliver market intelligence grounded in CompStak’s granular lease level detail, instead of survey based estimates or averaged asking rents.
Utilize CompStak’s proprietary data to estimate the average starting and effective rent for an area and visualize that data in a heat map or a market report.
Learn more
Property Insights API
Learn how to price any building existing or new.
Compare your buildings to other buildings, not the market.
Leverage CompStak’s proprietary Market Rent Algorithm to calculate an estimated market starting rent for the subject building and each building in its competitive set.
Learn more
Space Insights API
Underwrite the market starting rent for a given space, taking into account the building, the building’s competitive set, the square footage of the space, and its floor in the building.
Visualize the distribution of market rent, free rent, and work value in a histogram.
Get a list of recent deals (lease comps) most similar to your subject space and all the deal details such as starting rent, lease concessions, and lease term.
Learn more
Property Standardization API
Match your data to CompStak, and eliminate duplicates – even with limited data.
We’ve spent seven years cracking the code on CRE data – properties with multiple parcels, buildings with multiple addresses, vanity addresses, duplicates, range addresses, you name it, we’ve seen it.
Learn more
Data feeds, delivered on your schedule.
Bulk delivery of verified lease, sale, property, and loan records, ingestion-ready for your warehouse, BI layer, and models.
Your feed
Lease comps
Sale comps
Property data
Loan dataDELIVERY SCHEDULE
Next deliveryMon, 6:00 AMWeekly · all four datasets
Sep 21 · 6:00 AM Delivered
Sep 14 · 6:00 AM Delivered
Sep 7 · 6:00 AM Delivered
Data warehouse
BI layer
Models
Delivered on your schedule
Recurring bulk delivery keeps your records current, with no manual exports.
Ingestion-ready
Structured records that load cleanly into your warehouse or BI layer.
Built for syncing
Best for custom applications that export or sync data.
Connect your AI assistant with MCP.
The Model Context Protocol connects verified CompStak data to Claude, ChatGPT, Copilot, or Gemini. Best for building an AI agent or integrating into Claude or Copilot.
Agent Connect: CompStak’s MCP.
See MCP in action. Your assistant queries verified leases, sales, and properties and answers in the same conversation, sourced from a real transaction.
Works with the assistants you use
ChatGPT, Claude, Gemini, and Copilot.
Answers trace to a real transaction
Every response is grounded in a verified comp.
Complete privacy and security.
CompStak never sees your queries or conversations.
The deal-level data you don’t want to miss.
Data grounded in CompStak’s granular lease level and sales transaction level data. Leverage difficult to find data fields to populate your models.
Not ready for custom integrated solutions?
Explore our platform solutions 
Looking for more data?
Don’t see what you are looking for? We can build it.
Tell us the fields, the markets, and the delivery schedule your team needs, and our data team will scope it with you.
Verified before it reaches your pipeline
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.
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
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Community Sourcing
40,000+ verified CRE professionals at brokerage and appraisal firms submit comps daily. Transaction data is received and reviewed multiple times.
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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.
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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.
Strategic Advisory
Don’t know where to start?
CompStak Strategic Advisory bridges the gap between raw data and real-world execution, pairing lease and sale comp intelligence with experienced operators who have been in your shoes.
Where our team comes in:
Workflow & data integration
Connect CompStak data to Excel, BI platforms, and underwriting models.
Custom AI-ready datasets
Build a data foundation for internal AI and ML work with structured, enriched feeds.
Portfolio & market strategy
Benchmark holdings and inform hold or sell decisions with our research team.