Solutions
DeCyph for Brokers
Package opportunities with standardized financials, defensible analysis, and instant answers for buyer questions — plus an API your clients can plug into.
Building the deal package from raw documents…
Maple Court Apartments
214 units · Value-add multifamily
$1.64M
NOI (T12)
93.4%
Occupancy
$1,262
Avg rent
Watch a listing become a package, get shared, and priced with a data-backed BOV.
What this helps with
- Stronger deal packages: DeCyph turns raw rent rolls and operating statements into standardized financials, deal highlights, and summary PDFs — buyer-ready materials grounded in the actual numbers.
- Faster buyer answers: Ask Dax, the AI assistant, answers questions about income, expenses, unit mix, comps, and assumptions directly from the deal files — no digging through every spreadsheet manually.
- Market context that sells: Rent comps, expense comps near the property, and market analysis by property class help position pricing with data instead of assertion.
- Work from the tools you already use: Connect DeCyph via MCP and query your listings, clients, deal pipeline, and standardized financials straight from Claude or ChatGPT — and build your own AI agents on top of your listing data, no tab-switching during a live conversation with a buyer.
Standardized financials and instant answers for every listing.
FAQs
Common questions about DeCyph for Brokers
See how Brokers teams use DeCyph to move faster, reduce manual work, and make decisions from standardized real estate data.
How can brokers use DeCyph to create stronger deal packages?
Brokers upload the rent roll, T12, and offering materials, and DeCyph produces standardized financials, deal highlights, and a quick summary PDF. That gives buyers a clean, consistent view of income, expenses, NOI, and unit mix — and gives brokers analysis they can defend when pricing questions come up.
How does DeCyph help brokers answer investor questions faster?
DeCyph puts an AI assistant on top of the deal files. It can pull expense comps near the property, compare in-place rents to market, explain trailing-3 versus trailing-12 trends, and run custom analysis on the rent roll — so broker responses are faster, consistent, and backed by the underlying documents.
How does DeCyph fit into a broker’s day-to-day workflow?
Brokers upload the rent roll, T12, and offering materials for each listing, and DeCyph standardizes the financials and analytics in minutes. From there it supports the whole sale process: preparing buyer-ready packages, answering diligence questions from the underlying data with Ask Dax, and building comparable-based BOVs. Through the MCP integration, brokers can also query their deals and property data directly from Claude or ChatGPT.
How do brokers connect Claude or ChatGPT to their DeCyph listings?
DeCyph’s MCP connector links Claude and ChatGPT to a broker’s DeCyph data — clients, properties, deal pipeline, and standardized income statements — so brokers can pull listing numbers from their own AI assistant mid-conversation and build personal agents on top, like a listing-summary generator or a buyer follow-up drafter. Setup takes a few minutes; see the MCP setup guide under Resources.
How does DeCyph help brokers position pricing with data?
DeCyph combines rent comps, expense comps near the address, census and migration trends, and market analysis by property class. Brokers can show how the asking price relates to in-place NOI, market rents, and comparable expenses — turning pricing conversations into data conversations.
How can a broker build a BOV with DeCyph AI?
Upload the property’s rent roll and operating statements, then run DeCyph’s Broker Opinion of Value agent. It assembles sales and rent comps, reconciles the income approach, and produces a structured BOV with comparable-based reasoning and a defensible value range — a pitch-ready starting point brokers can refine before going to the seller.