Proprety Comparables
Twenty-four property details and nine ways to narrow a match. Everything you need to compare one property to another. Built to run from a single address to millions of properties, via paging or bulk delivery.
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What it is
Property comparables answer one narrow question: which nearby properties are similar enough to the one you are pricing to tell you what it is worth? Answering it takes a specific set of details: how big, how old, what type, what it last sold for. This API is shaped around exactly those, so every property that comes back is ready to compare the moment you receive it, whether you are pricing one address or a hundred thousand.
A response built for one purpose is fast to request, quick to parse, and predictable to model against, with the same shape on every property, every time.
Comparables come from the same BatchData property endpoints as the rest of the platform, and from the MCP server your agents already connect to. One platform, one account.
Comparison work repeats by nature. This solution is priced for teams pulling comparables continuously, so scaling analysis does not mean rethinking the budget.
What you can build
Comparable sales are the raw material for almost every question about what a property is worth. Here is what teams build on top of them.
Serve your model a consistent comparable set for every property it prices, with the same fields populated the same way so results stay stable across runs and markets.
Generate a comparative market analysis for any address on demand, with the closest matches ranked and ready to render into a report your users can act on.
Power a what-is-my-home-worth experience that returns a credible number backed by nearby sales, a proven way to turn anonymous visitors into known prospects.
Recommend a list price or a maximum offer grounded in what genuinely similar homes nearby have sold for, so the number your product suggests can be explained.
Mark thousands of holdings to market on a schedule, refreshing value and equity positions as new sales land in each neighborhood rather than once a quarter.
Score every listing against its nearest true comparables to surface the ones priced out of step with their block, ranked before an analyst opens a single tab.
MCP Server
Comparable property tools are available through the BatchData MCP server. Connect once and an assistant, a coding agent, or your own application can request matches on its own, with a focused response that keeps agent context small and answers fast.
Ask for comparable sales in plain language and get structured matches back, ready to summarize, chart, or pass to the next step in a workflow.
Pull real comparable data while you build, so prototypes run against live matches instead of fixtures you have to replace before launch.
Give a custom agent the same comparable tools your application uses, so valuation and research run without a person in the loop.
Turn a question about one neighborhood into a run across hundreds of addresses, each answer grounded in recent sales rather than a guess.
Make comparables a step an agent performs on its own, refreshing values on a schedule instead of when someone remembers to kick off the job.
Built on an open standard, so whichever assistant or framework your team adopts next can reach the same comparable tools without new work.
Where comparables go to work
Screen inbound opportunities against nearby sales so the pipeline arrives ranked, and every deal carries a value your users can defend to a partner.
Add a comparable-sales panel to every listing page so shoppers see how the asking price sits against the block, and stay on your site to find out.
Back listing presentations with recent nearby sales, so pricing conversations rest on evidence a seller can see rather than an opinion they can argue with.
Surface property value context alongside nearby sales, giving loan teams and their clients a clear, shareable picture of what a property is worth today.
Value large single-family portfolios on a schedule, tracking how each neighborhood moves so acquisition and disposition timing rests on current evidence.
Comparable property tools are available through the BatchData MCP server, so an agent in a desktop assistant, an IDE, or your own application can pull matches directly.
Build price-per-square-foot benchmarks and turnover trends from recent sales, refreshed as often as your analysis requires rather than when a report is published.
Bring value context into transaction workflows, so the parties around a closing share the same view of what comparable homes nearby have recently sold for.
What's included
The details that tell you whether one property is a fair match for another, grouped the way you’d actually use them.
Bedrooms, bathrooms, living area, total building area, stories, year built, and whether there is a pool.
Last sale price, price per square foot, sale date, and how long the property was held before resale.
An estimated value with a low and high bound, so you see the range the evidence supports.
Lot size in both acres and square feet, for like-for-like comparison across listings.
Property class, property type, standardized land use, and whether the property is vacant.
Ownership type (individual, corporation, trust, or LLC) and whether the owner occupies the property.
Subdivision name, so comparisons can be held to the immediate neighborhood when that matters.
Sold, active, pending, failed, or off market, to read where each match sits in the cycle.
Address and record identifiers arrive with every comparable, so each match ties back to a property you can act on.
Define what counts
Set a search radius or your own geographic boundary, then hold candidates to the characteristics that matter for the property in front of you. The controls combine, so you can be as tight or as broad as the job requires.
The modern data stack advantage
Records are assembled from multiple independent sources, so coverage holds up when any single upstream feed lags or goes dark.
Details arrive consistent and comparable across every property, so the matches you surface stand up to scrutiny.
A focused solution on a documented platform means a short path from first conversation to comparables running in your product.
Each comparable comes back with twenty-four property attributes covering size, sale history, value estimate, lot, classification, ownership, and listing status, along with the address and record identifiers that tie the match to a property. It is the detail a comparison depends on, delivered ready to use.
Comparables are served from the standard BatchData property endpoints, so a single integration covers them alongside the rest of the platform. Your data expert will walk through account setup and get you a working request quickly.
Full control. Nine matching controls are available (distance, a custom boundary, bedrooms, bathrooms, living area, year built, lot size, stories, and subdivision) and they combine, so you can be as tight or as broad as the property requires.
Yes. Comparable sales are the core input to most valuation logic. You control which properties qualify as comparable, and the response gives you the sale price, price per square foot, size, age, and classification your model needs to weigh them.
BatchData carries a much wider property record covering ownership, mortgage, valuation, and more, and accounts can be set up for comparables alongside any of it. Which combination fits depends on your workflow, so it is worth a short conversation before you decide.
Yes. Comparable property tools are exposed through the BatchData MCP server, so an agent running in a desktop assistant, a coding environment, or your own application can request matches on its own. Our team will set up agent access with you.
