Homesage.ai
Grow your real estate business with AI property intelligence
About Homesage.ai
Homesage.ai is real estate intelligence delivered two ways at once, and the second way is the more interesting one. For people doing deals, it provides investment property search and full property reports through a normal interface, plus a DealFinder browser extension and mobile app for evaluating listings where you actually find them. For people building software, it exposes the same underlying data through real estate APIs and MCP servers, which means an AI agent can query property data directly rather than scraping listing sites. Serving both audiences from one data layer is unusual in this market.
MCP support is worth calling out specifically. The Model Context Protocol is how agents connect to external data sources, and a real estate data provider shipping MCP servers means an assistant can be asked about a property and go and find out, rather than answering from stale training data. Alongside that sit conventional REST APIs. The customer segmentation is explicit and covers lenders, realtors, contractors, investors and IT developers, which is a wider spread than most property tools attempt. Custom AI solutions are offered as a separate engagement, priced by company size across three bands, and begin with a review of your workflows to identify where AI would actually help. An affiliate programme and demo booking are available.
Which path you take depends on which of the two products you need. For deal work, use investment property search to find candidates and pull a full property report on anything promising, or install the DealFinder browser extension so evaluation happens on the listing sites you already browse, with a mobile app for viewings. For engineering work, integrate the real estate APIs directly, or connect the MCP servers so an AI agent can query property data as a tool rather than through a scraper. For the custom track, the engagement starts by mapping your existing workflows to identify where AI can improve them, then builds against that, priced by headcount band.
- •Real Estate MCP Servers - Property data exposed over the Model Context Protocol, so AI agents can query it directly as a tool
- •Real Estate APIs - Conventional REST access to the same data for teams building their own applications
- •Investment Property Search - Search oriented around investment criteria rather than around consumer home browsing
- •Full Property Reports - Detailed per-property analysis for evaluating a specific deal
- •DealFinder Browser Extension - Evaluate properties on the listing sites where you already look, without switching tools
- •DealFinder Mobile App - Property assessment on site rather than back at a desk
- •Custom AI Solutions - Workflow review followed by bespoke build, priced across three company size bands
- •Multi-Audience Design - Distinct paths for lenders, realtors, contractors, investors and developers
For property investors screening deals at volume who need analysis faster than manual comparison allows, and for realtors and lenders wanting data-backed answers during a client conversation. Contractors get property intelligence for scoping and bidding. The API and MCP side serves a completely different audience: developers building real estate products, and anyone wiring property data into an AI agent. The custom solutions track suits established firms with defined workflows and the budget to have software built around them rather than adapting to someone else's.
Pricing
$350 - $750/mo
- Small Enterprise$350/mo
- Mid-Market$550/mo
- Enterprise$750/mo
From the vendor pricing page, 2026-09-22
