What can you do with Casafari data? Use cases for agents, investors, developers and AI agents
Casafari is the AI agent-native real estate data intelligence platform. Its data is a deduplicated, cleaned property graph: one record per property, with every price and status change dated, across 16 markets. The same data is served to AI assistants over the Casafari MCP server (https://mcp.casafari.com/, 22 data tools in 3 products plus list_servers) and to applications over the REST API at https://api.casafari.com (39 operations). This hub groups the outcomes people come for: price a home or a plot, understand an area, catch leads the moment the graph changes, screen investments, build property data into a product, and find agencies and agents to partner with in Germany. Each page states exactly which tools or REST operations to call, in order, and which access each step needs; all of them are available to Casafari clients with their Casafari account. Every page is also Markdown: append .md or send Accept: text/markdown.
Value and compare
Price a home, a plot or a commercial unit from comparable properties, past sales and rentals and official registry records, and turn the result into a client-ready report.
How do I value a property with comparables?
A defensible asking price, backed by comparables and registry records, wins mandates and shortens time on market.
How much rent can I ask for this property?
Setting rent from real rental comparables fills units faster without leaving money on the table.
How do I value a property in Spain from its cadastral reference?
Valuing straight from the cadastral reference removes address errors and speeds up appraisal workflows in Spain.
How do I find comparables for a shop, office, warehouse or plot?
Commercial and land deals are priced on thin evidence; comparables from one deduplicated graph give a number you can defend.
How do I turn comparables into a client-ready CMA report?
A polished, data-backed CMA is the document that converts a valuation visit into a signed mandate.
Understand an area
Area Insights: prices, supply and activity over time, distributions by price, bedrooms and time on market, heatmaps by district and automated market reports.
How have asking prices per m² moved in an area over time?
Knowing the direction and speed of prices in an area turns a gut feeling into advice a client or a committee will act on.
Which districts of a city are the most expensive, the busiest or growing fastest?
Seeing a whole city district by district in one call shows where demand, supply and price pressure actually sit.
Is it a buyer's or a seller's market in this area?
Reading supply against absorption tells you when to list, when to buy and how hard to negotiate.
How long will a property take to sell or rent in this area?
Pricing into the band that sells fastest is the difference between a quick sale and months of price cuts.
What does a 2-bedroom apartment cost in this area, and how are prices spread?
Knowing the going price for each bedroom count and where supply clusters lets you position a property, or plan a development, against real stock.
How do I build a monthly local market report with Casafari data?
A regular, data-backed market report positions an agency as the local authority and keeps it in front of future sellers.
How do I analyse a zip code or postcode area with Casafari?
Agents and investors think in postcodes; working on the exact boundary keeps analysis and leads inside the territory that matters.
Find leads
New Market Leads: alert feeds that follow the property graph for private sellers, price cuts, new properties, reservations and sales, delivered to a webhook or read on demand.
How do I find properties newly advertised by private owners?
Owners selling alone are the agents' best mandate prospects, and being first to call them is what wins.
How do I find properties with price reductions, especially repeated cuts?
Repeated price cuts are the clearest public signal of a seller ready to deal, for a buyer or for an agent offering a fresh strategy.
How do I get real-time property alerts for my filters delivered to a webhook?
Hearing about a change in the market minutes after it happens, in your own system, is the whole edge in lead generation.
How do I track what competing agencies are selling, reserving and removing in my area?
Knowing who holds the stock, and who just lost or won a mandate, tells you where to compete and whom to recruit.
How do I find bank-owned and auction properties in an area?
Bank and auction stock is where discounts live, and the first investor to see it sets the terms.
Screen investments
Find properties priced below the area, estimate gross rental yield and spot motivated sellers by combining Property Sourcing, Area Insights and comparables.
How do I find properties priced below the area's market value?
Buying below a data-backed market value is the only return you lock in on day one.
What gross rental yield can I expect in this area, and which properties beat it?
Yield is the number every buy-to-let decision hangs on, and computing it from one deduplicated graph avoids double-counted supply.
Property data in your product
Property Sourcing over REST: search the graph, fetch one property with its history, resolve a portal or agency ad id to its property, and share selections.
How do I look up one property and see every price and status change?
A property's full price and status history is the negotiation leverage and the due-diligence record no single portal can give.
How do I resolve a portal or agency ad id to the property it belongs to?
Counting one property once removes duplicated supply from your product, your statistics and your users' inboxes.
How do I build property search into my application with the Casafari REST API?
Building on a deduplicated graph with full history gives your users a cleaner search than any single source could.
Agency partnerships in Germany
AgentGraph AI: screen agencies and agents against partner profiles, map territories, benchmark areas and watch the agencies that matter.
Which agencies in a German city are worth partnering with?
Partnering with the right agencies at the right moment, growing independents or franchise offices losing momentum, is how networks expand without guessing.
Which individual agents in a German area should I recruit or partner with?
Recruiting on measured performance and territory signals, not on reputation alone, fills offices with agents who produce.
Where should my brokerage open or grow next in Germany?
Expansion decisions made on measured broker density and demand, district by district, cost far less than offices opened on instinct.
How do I get notified when a watched agency or agent changes?
The moment a target agency loses momentum or a star agent moves is the moment to call, and the watchlist is what catches it.
Property Sourcing
What people build with the Property Sourcing REST API. All Property Sourcing use cases.
Deduplicated buyer shortlist from a plain-language brief
Turn a client's brief into one deduplicated property record per home with Casafari's describe search, matched tags and price per sqm.
Price-per-sqm value screen across European markets
Use one Casafari search body per country, sorted by price per sqm, then read energy rating, condition and price history before bidding.
Resolve client-forwarded links to one property record
Resolve a portal or agency link or reference to one Casafari property record, then see every place the home is advertised and at what price.
Shared-mandate and competitor mapping for an office
Search an office's area with Casafari, use listings_count and expand=listings to map exclusive versus shared mandates and which agencies hold them.
New-supply digest for a farm area
Poll Casafari daily with sort=newest for your farm area, diff first_seen and property ids, and send a deduplicated digest of new homes.
Grounded property tool for an AI assistant
Expose Casafari's describe search, property read and resolve as tools; the agent learns them from /openapi.json and /llms.txt and handles 402 and 429.
Short-let investor filter with rental licence
Combine Casafari's features and exclude_features filters with price-per-sqm sorting to find homes with a rental licence, terrace and parking.
High Potential Seller Leads
What people build with the High Potential Seller Leads REST API. All High Potential Seller Leads use cases.
Street-level mandate prospecting list
List homes within 300 metres of a point with at least two price cuts totalling 10% using High Potential Seller Leads, then read each property's dated history.
Weekly newly-motivated homes alert for an office
Run High Potential Seller Leads weekly with since set to the last run, diff lead ids and push newly reduced homes to each office's CRM.
Investor negotiation ranking by price erosion
List High Potential Seller Leads around a target point, rank them by price_cuts.percentage and read each lead's dated history before bidding.
Pricing-conversation evidence pack for a valuation meeting
Pull High Potential Seller Leads within 300 metres of an owner's home and show how many neighbours cut, by how much and since when, with dated histories.
Rent-cut radar for letting agents and landlords
Use High Potential Seller Leads with operation=rent around a point to list rentals with repeated rent reductions before setting your own rent.
Compliant seller-prospecting workflow for an AI agent
Let an AI agent call High Potential Seller Leads (no names, phones or emails), read the property record, and leave consent and channel checks to a human.
Stale-stock monitor around a development
Run High Potential Seller Leads monthly around each development to track the count and average percentage of price cuts on competing homes nearby.