{"id":109472,"date":"2026-07-23T20:11:54","date_gmt":"2026-07-23T20:11:54","guid":{"rendered":"https:\/\/partnerwithez.com\/blog\/?page_id=109472"},"modified":"2026-08-17T19:04:01","modified_gmt":"2026-08-17T19:04:01","slug":"offerings","status":"publish","type":"page","link":"https:\/\/partnerwithez.com\/blog\/offerings\/","title":{"rendered":"offerings"},"content":{"rendered":"\n
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OUR OFFERINGS & TECHNOLOGY<\/p>\n\n\n\n

A Better Way To Discover Real Estate\u2122<\/h1>\n\n\n\n
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Most people know ez Home Search as a place to search for homes. It is also a national data and software platform that values more than 90 million properties in real time and refreshes its listing data every minute, around the clock.<\/p>\n\n\n\n

It was built consumer-first and privacy-first. This page covers all of it, for buyers, sellers, owners, dreamers, and the professionals who serve them.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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BUILT ON TWO PROMISES<\/p>\n\n\n\n

Why we’re a better way to discover real estate<\/h2>\n\n\n\n
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We built ez Home Search to help people through the biggest financial decisions of their lives. Most of this industry was built to earn revenue from what those people share along the way. The difference shows up first in what happens to your information.<\/p>\n<\/div><\/div>\n\n\n\n

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What happens on a legacy portal<\/h3>\n\n\n\n

When you fill out a form, your name, phone number, email address, budget, timeline, and sometimes your relationship status can be sold or routed to a real estate agent, a mortgage officer, a title company, an insurance agent, a data broker, and in some cases a car dealer.<\/p>\n\n\n\n

Each of those businesses pays for it in its own way, whether a flat fee up front, a monthly retainer, or a percentage of the deal if you end up buying. Most people never learn who received their details, or how many businesses received the same file.<\/p>\n<\/div>\n\n\n\n

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What happens on ez Home Search<\/h3>\n\n\n\n

Your contact details and your budget are not sold, resold, recycled, or broadcast to businesses you never chose.<\/p>\n\n\n\n

They go to one vetted local expert who serves your county, and you know when that happens and who received them. Every other professional in the network, from loan officers to roofers, is there for you to reach out to if and when you want them.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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The Only Confidential Home Search<\/h3>\n\n\n\n

Search, save, and compare homes without your contact details and budget being sold, recycled, or broadcast to a crowd of businesses you never chose.<\/p>\n\n\n\n

Confidentiality here is not a preference you switch on. It is how the business itself is built, which is why there is no version of ez Home Search that resells you.<\/p>\n<\/div>\n\n\n\n

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A Single Local Expert you choose<\/h3>\n\n\n\n

You are matched with one vetted local partner who knows your area, chosen because they are the right fit for what you need, not because they paid the most to reach you.<\/p>\n\n\n\n

Every partner is screened before they are activated and watched afterward, with reviews tracked, follow-up performance measured, and consumer feedback captured. Partners who do not meet the standard are removed.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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THE PLATFORM<\/p>\n\n\n\n

A platform, not a website<\/h2>\n\n\n\n
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Most people look at ez Home Search and see a real estate website. The site is the part you can see, and it is the easy part to build. What runs underneath is a national data and software platform, and this platform is the reason the search is fast, the numbers are current, and the answers are ones other real estate sites do not have.<\/p>\n<\/div><\/div>\n\n\n\n

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Hosted software for consumers and for professionals<\/h3>\n<\/div>\n\n\n\n
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While connected, there are two distinct sections of the SaaS offering for those logging into ez Home Search.<\/p>\n\n\n\n

Buyers, sellers, and homeowners sign into the consumer side to manage saved homes and searches, follow what their own home is worth, and set the alerts they want. Vetted real estate agents, teams, and brokerages sign into the professional side to run their business, with their contacts, their clients’ searches, and their own local tools inside it. Both are hosted and delivered as software as a service, which gives ez Home Search a consumer SaaS experience and a professional SaaS experience on one connected platform rather than a website with a login attached.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Native iOS and Android apps<\/h3>\n<\/div>\n\n\n\n
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The apps people download from the App Store and Google Play are built for the device in your hand rather than shrunk down from the website.<\/p>\n\n\n\n

Each one is an interface into the platform, the way a window lets you see into a house while the rooms, the wiring, and the plumbing all sit behind it. Search and ez Match, real-time home valuations, saved homes and searches, instant alerts, and a direct line to a vetted local expert all come through that window, pulled from the same systems the website draws on. A price change or a new listing reaches a phone the same moment it reaches a laptop.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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The platform that powers an ecosystem<\/h3>\n<\/div>\n\n\n\n
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ezVerify.ai and Sure Send\u00ae are part of the ez Home Search family, and both draw their property data, valuations, listing alerts, and delivery systems from this same platform.<\/p>\n\n\n\n

The co-branded experience an Exclusive County Partner puts their name on is ez Home Search as well, served from the same national platform with that partner’s identity carried across it. Partners can place home-value and valuation tools on their own websites, and those tools return answers through an ez Home Search interface rather than handing any listing or property data outward. Everything stays inside the platform, which is what keeps the data protected and what no single agent, team, or brokerage could build for itself.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Valuations, alerts, and compliance<\/h3>\n<\/div>\n\n\n\n
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Much of this software runs on its own schedule rather than waiting for someone to open it.<\/p>\n\n\n\n

It values any home in the country in real time, and tells an owner what that means for the equity they hold. It delivers listing alerts, price changes, and local market reports by email, text message, mobile push, and voice, the moment something a person is watching actually changes. And it verifies that every contact a partner reaches out to agreed to hear from them, screening each number against the national Do Not Call registry before anyone dials.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Each of the four above is a substantial product on its own, and running them together across the whole country, refreshed every minute of the day, is the harder problem. ez Home Search was built by the innovators behind technologies people use every day, in the wearables on their wrists, the navigation apps in their cars, and the social platforms they open. Their systems power products at Apple, Meta, Microsoft, Garmin, and leading real estate platforms, and their work has helped tens of millions of Americans buy and sell their homes. Those same systems handle hundreds of millions of data requests a day, and that depth of innovation is what runs ez Home Search.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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THE DATA PROBLEM<\/p>\n\n\n\n

Nearly 500 systems, one coherent picture<\/h2>\n\n\n\n
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Before anyone can type a single search, a national real estate platform has to solve a set of problems most people never think about. The United States does not have one listing database. It has hundreds, each one built separately and run on its own terms, and reconciling them is the most demanding engineering work in this category.<\/p>\n<\/div><\/div>\n\n\n\n

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01<\/p>\n\n\n\n

Hundreds of separate listing systems<\/h3>\n\n\n\n

The United States has close to 500 separate multiple listing services, and each was built on its own terms.<\/p>\n\n\n\n

They use different field names, different formats, different update schedules, and different rules about what may be displayed and how. A home listed in one market and an identical home listed in another arrive describing themselves in two different languages. Showing both to the same person, on the same page of results, is where the work starts.<\/p>\n<\/div>\n\n\n\n

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02<\/p>\n\n\n\n

Millions of listing updates a day<\/h3>\n\n\n\n

Listing data reaches ez Home Search through a modern Web API built on the RESO standard, taking in millions of updates every day.<\/p>\n\n\n\n

Status changes, price changes, description edits, and new photographs arrive continuously rather than in a nightly batch. Status, prices, descriptions, and images refresh every minute around the clock, across more than 20,000,000 property photos kept current. Legacy portals describe their property data as updating as often as daily, and in a fast market that gap is the difference between seeing a home and hearing about it.<\/p>\n<\/div>\n\n\n\n

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03<\/p>\n\n\n\n

The normalization engine<\/h3>\n\n\n\n

Every feed is normalized into one consistent model before anything reaches a person.<\/p>\n\n\n\n

Listing status alone appears in dozens of variants, where one market’s “Pending Continue to Show Inspection” and another’s “Contingent Due Diligence” mean the same thing and both resolve to Active Under Contract. Property types, addresses, dates, and nearly every other field vary the same way and are reconciled the same way. Machine learning models watch for formats and terminology that have not appeared before, so the pipeline adapts as markets change their own conventions instead of waiting to be reconfigured.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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04<\/p>\n\n\n\n

Two compliance engines<\/h3>\n\n\n\n

Each MLS sets its own rules about how its listings may be displayed, and those rules are honored listing by listing rather than in bulk.<\/p>\n\n\n\n

A compliance engine applies the correct rule set to every home shown, including on a single page of results carrying listings from many different markets at once. A second engine governs the broader regulatory obligations that sit above display rules. Rules enter both engines through direct configuration and through models that read and reconcile them, and the system surfaces the places where one rule set conflicts with another.<\/p>\n<\/div>\n\n\n\n

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05<\/p>\n\n\n\n

300+ sources, petabytes analyzed<\/h3>\n\n\n\n

Listings are one input among more than 300.<\/p>\n\n\n\n

The platform also fuses property tax assessments, deeds and ownership history, mortgage records, pre-foreclosure filings, parcel and boundary maps covering states, counties, cities, ZIP codes, neighborhoods, and school districts, points of interest, transit, school test scores and parent reviews, weather, traffic, and building footprints. Alongside those come area-level details such as housing stock by type and tenure, owner values and rents, year built, length of residence, income, education, and how far people travel to work. All of it is normalized into the same model, which is why a school page, a property tax comparison, and a listing search can draw on one coherent picture.<\/p>\n<\/div>\n\n\n\n

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06<\/p>\n\n\n\n

The privacy layer<\/h3>\n\n\n\n

Everything described above is held inside the platform, and how it is held is engineered rather than promised.<\/p>\n\n\n\n

Access is controlled at the data layer, so what informs one person’s experience is not exposed to the businesses working alongside them. Nothing is packaged for sale, and nothing is broadcast to a list of companies that person never chose. Privacy is a property of this architecture rather than a policy sitting on top of it.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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THE TECHNOLOGY<\/p>\n\n\n\n

More Technology. Better Technology.<\/h2>\n\n\n\n
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ez Home Search runs on proprietary technology built from the ground up rather than a licensed feed dressed up as a product. Each capability below would be a substantial product on its own at most companies. Here they share one set of data and one set of systems, so the valuation, the school report, and the tax comparison a person reads all agree with each other.<\/p>\n<\/div><\/div>\n\n\n\n

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Coverage without limits<\/h3>\n\n\n\n

Coverage runs nationwide, across all 50 states, the District of Columbia, and Puerto Rico.<\/p>\n\n\n\n

Market updates and real-time listing alerts reach 3,144 counties and county equivalents, 19,500 incorporated cities, towns, and villages, and 41,554 ZIP codes. Wherever a person lives now, and wherever they are thinking of going, the homes and the local detail are already there. That holds for the block someone lives on and for the town across the country they are dreaming about.<\/p>\n<\/div>\n\n\n\n

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ez Match, AI-enhanced search<\/h3>\n\n\n\n

ez Match is a conversational assistant a person talks to in plain words instead of wrestling with filters and dropdowns.<\/p>\n\n\n\n

Describe the home you want and it returns matches built around what you actually said, working nationwide and reaching nearly every other capability on this page. It handles the parts of a description that are not fields in a database, including commute time, affordability, schools, and what sits nearby. The search stays confidential while it works.<\/p>\n<\/div>\n\n\n\n

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Home values across the country<\/h3>\n\n\n\n

The proprietary automated valuation model (AVM) estimates the value of any residential property in the country in real time, across more than 90 million properties and 300 million people.<\/p>\n\n\n\n

It runs on machine learning, including neural networks that weigh hundreds of data points per property and read live market signals such as list price and days on market. Geospatial modeling at several scales lets a national model still learn what is true about one neighborhood, and computer vision reads listing photographs to account for condition and curb appeal. It is built to be the most accurate valuation available anywhere.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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250,000+ places, 2 million+ local pages<\/h3>\n\n\n\n

More than 250,000 covered places across the United States have their own market page, spanning states, counties, cities, ZIP codes, neighborhoods, and school districts.<\/p>\n\n\n\n

Behind those sit more than 2 million local pages in total, covering property types, listing types, and more. Every one is generated from live listings and proprietary public-records data, and every one changes as the market underneath it moves. Nothing here is written once and left to age.<\/p>\n<\/div>\n\n\n\n

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Schools, deeply understood<\/h3>\n\n\n\n

Detailed reports cover more than 160,000 schools nationwide, public and private, each carrying the ez rating, a score from 0 to 100 that ez Home Search builds rather than reselling someone else’s.<\/p>\n\n\n\n

The rating draws on verifiable testing data including graduation rates, college acceptance, and reading ability, and it is refined by vetted local partners who know their communities. Parent ratings and written reviews sit alongside it where they exist. Because school, listing, and public-records data share one foundation, a district page shows average prices by home type in every ZIP code inside it.<\/p>\n<\/div>\n\n\n\n

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Property-tax intelligence<\/h3>\n\n\n\n

Property taxes are one of the largest variables between one place and the next, and they can be looked up and compared by state, county, city, and ZIP code.<\/p>\n\n\n\n

Those figures feed the valuation and affordability tools, so the true cost of owning a home is clear before someone commits rather than after. A buyer weighing two towns can see how the tax picture changes the monthly number. An owner thinking about selling can see how rising taxes quietly hold down what a home can sell for.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Our own large language model<\/h3>\n\n\n\n

ez Home Search operates its own large language model and orchestrates additional models alongside it.<\/p>\n\n\n\n

Plain language becomes structured rules and queries the platform can run, which is what lets a person describe a home in a sentence and lets a partner set up routing without writing logic. The same models watch incoming listing feeds for formats and terminology that have not appeared before, and help read and reconcile the display rules each market sets. AI sits in the foundation here rather than being added on top of it.<\/p>\n<\/div>\n\n\n\n

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The search engine<\/h3>\n\n\n\n

National, map-based, filterable, ranked search across millions of listings is a distributed computing problem before it is a real estate one.<\/p>\n\n\n\n

Geospatial indexing supports map, radius, boundary, and polygon search alongside full-text and attribute relevance ranking. Server-side rendering, content delivery networks, load balancing, and multi-layer caching are built so that a person and a search engine crawler both get a fast answer at national traffic levels. The stack includes technologies such as Next.js, React, Ruby, and Elasticsearch among many others.<\/p>\n<\/div>\n\n\n\n

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Privacy engineered in<\/h3>\n\n\n\n

Building a business around consumer privacy is an engineering choice, and the companies that made it made it in other industries first.<\/p>\n\n\n\n

DuckDuckGo and Brave each reached roughly 100 million users by making privacy the default and blocking the tracking their larger rivals are built to perform, while Proton Mail built email the company itself cannot read and 1Password and Bitwarden run on architecture where the provider cannot read what a customer stores. Apple refused a government order to open the iPhone and withdrew a feature in the United Kingdom rather than weaken it for everyone. ez Home Search brought that same engineering to real estate first, and it remains the only real estate platform, portal, or app built that way.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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FOR CONSUMERS<\/p>\n\n\n\n

Homebuyers & Sellers<\/h2>\n\n\n\n
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Most people who buy are also selling. ez Home Search keeps both sides of your move in one place, the same valuation, the same equity math, and the same trusted local expert.<\/p>\n<\/div><\/div>\n\n\n\n

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If you’re buying<\/h3>\n\n\n\n