API & MCP
Your tools, our data. Bring Quanthome's structured, entity-matched real estate data into the tools your teams already use. Feed BI dashboards, financial models, and business apps through a REST API. Connect AI assistants and agents through an MCP server. The access layer is model-agnostic, so it works with whichever models and frameworks you run, today and as they change. Connect a key, query the data, and keep your existing workflows, with no migration to manage. Tell us which tools your teams use, and we will wire them up.
Inside API & MCP
One access layer connects Quanthome data to your stack: a REST API for your applications and an MCP server for your AI assistants and agents.
What you can connect
One key reaches Quanthome data from both your applications and your AI assistants: the REST API for your stack, the MCP server for your agents.
REST API for your applications
Feed BI dashboards, enrich a CRM, and supply financial models with live building, fund, transaction, and ESG data, queried straight from your own systems.
MCP server for AI assistants
Connect Claude, ChatGPT, AI IDEs, and autonomous agents to the full real estate market, so their answers rest on reliable, source-linked facts.
Plug and play
Connect the API or MCP key in a few lines of configuration, fitting your existing infrastructure with no migration and no overhaul.
Security and access control
Secure authentication with granular permissions per user and per field, so you decide exactly who sees what.
Why teams pick Quanthome
Three things set API and MCP apart for finance and real estate.
The full market, 140+ vehicles
Built on the full real estate market and 140+ vehicles, structured and entity-matched for agentic use, so what your tools and agents query is ground truth, not a thin feed.
Model-agnostic
The layer works with whichever models or agent frameworks you run, and keeps working as you swap them, so you are never locked to one vendor.
No migration
API and MCP fit your existing stack in a few lines of configuration, so you keep your workflows and connect a key instead of moving your data.
The jobs this product enables
API and MCP carries the use cases that live inside your own tools and assistants. These are the jobs it serves directly.
Custom dashboards
Describe the question in plain language, get a dashboard that combines your data and Quanthome market data in seconds, and keep it live so the next answer is a refresh, not a rebuild.
Transactions
See institutional deals as they close, with buyer, seller, price and yield.
Portfolio reporting
Aggregate direct lines and fund holdings into one exposure view, resolve fund positions down to the building, and read a picture that stays current, so each reporting cycle is a refresh, not a rebuild.
Questions we hear most
Do we need to migrate our data?
No. You connect an API or MCP key in a few lines of configuration and keep your existing stack and workflows. There is no data to move and no system to replace.
Which AI models and frameworks does it work with?
The access layer is model-agnostic. The MCP server connects to whichever assistants, models, and agent frameworks you run (Claude, ChatGPT, AI IDEs) and keeps working as you change them.
How is access secured?
Every call runs through secure authentication with granular permissions set per user and per field, so you decide exactly which data each user and agent can reach.
Bring Quanthome data into your tools
Tell us which tools and assistants your teams use. We will walk through the API and MCP connection in a working session.
Tell us which tools your teams use