Three MLS Feeds, One Unified Platform
RealAnalytica connects directly to three major MLS systems across New England, giving real estate professionals a single dashboard to search listings, run CMAs, generate AVMs, and track market trends without switching between portals. Whether you hold a Massachusetts license through MLSPIN, work Rhode Island through RIAR, or serve Connecticut clients through SmartMLS, your data is consolidated, normalized, and ready to use the moment you sign in.
MLSPIN: Massachusetts and Beyond
MLS Property Information Network (MLSPIN) is the largest MLS in New England, serving more than 46,000 subscribers across Massachusetts, southern New Hampshire, parts of Connecticut, and portions of Rhode Island. RealAnalytica's MLSPIN integration ingests active and off-market listings through a direct RETS and Web API feed.
Data refreshes every 15 minutes for active, pending, and contingent listings. Sold records update hourly, ensuring that your Comparative Market Analyses always reflect the latest closed transactions. Every listing record includes full property details, tax data, listing photos, virtual-tour links, agent information, and office attribution required by MLSPIN display rules.
For agents working the greater Boston metro area, the Worcester corridor, or the Cape and Islands, MLSPIN data powers neighborhood-level analytics. You can track median days on market, absorption rates, list-to-sale ratios, and price-per-square-foot trends for any town, ZIP code, or custom polygon you draw on our interactive map. The depth of MLSPIN's historical records also means our AVM engine has years of closed-sale training data, producing valuations that improve with the depth of local closed-sale training data.
RIAR: Rhode Island Coverage
The Rhode Island Association of REALTORS (RIAR) MLS covers the entire state of Rhode Island, from the waterfront communities of Newport and Narragansett to the urban markets of Providence and Warwick. RealAnalytica syncs residential and commercial listing records from RIAR on an hourly basis.
Our RIAR feed includes active listings, sold comparables going back several years, open-house schedules, and detailed property characteristics such as lot size, year built, heating type, and waterfront designation. Rhode Island's compact geography means most agents work multiple towns, and RealAnalytica's cross-MLS search lets you pull RIAR and MLSPIN data into a single results set when a client is considering properties near the Massachusetts-Rhode Island border.
RIAR data also feeds our rental analytics module. Rhode Island has a significant rental market concentrated in Providence, Cranston, and the college towns surrounding Brown and URI. Agents who manage rental portfolios can track rent trends, vacancy rates, and comparable rental listings alongside their sales pipeline.
SmartMLS: Connecticut Statewide
SmartMLS is the primary MLS for Connecticut, serving over 17,000 REALTOR members across all eight counties. RealAnalytica's SmartMLS integration delivers listings with data refreshing every 30 minutes for active records and hourly for sold transactions.
Connecticut's market is diverse, ranging from the high-end Fairfield County towns of Greenwich and Westport to the more affordable markets in the Hartford corridor and eastern Connecticut. SmartMLS data includes detailed property fields, school district information, flood-zone designations, and HOA details that are critical for agents advising buyers on total cost of ownership.
Our analytics engine calculates market statistics at the town, county, and custom-area level using SmartMLS records. Agents can generate market snapshot reports for listing presentations showing year-over-year price changes, inventory levels, and seasonal trends specific to their farm area.
Property Data: Nationwide Enrichment
While MLS data provides the real-time heartbeat of the market, our property data provider adds depth and context that MLS records alone cannot deliver. The property database aggregates information from over 3,000 county recorder and assessor offices, covering 155 million parcels across all 50 states.
RealAnalytica uses this data for several core features. The tax-assessor lookup pulls the most recent assessed value, tax amount, and assessment history for any property in our coverage area. This is invaluable for identifying over- or under-assessed properties, estimating future tax liability, and validating MLS-reported square footage against official records.
Deed and mortgage history shows the chain of title, purchase prices, and current mortgage balances. This information helps listing agents prepare accurate net sheets and enables buyer agents to identify properties with high equity that may be ready for sale.
The foreclosure and pre-foreclosure database flags properties with notices of default, lis pendens filings, and scheduled auction dates. Agents who work the distressed-property segment can set alerts and receive notifications when new filings appear in their territory.
Neighborhood demographics including median household income, population density, crime indices, and school ratings round out the property data offering. These data points appear in our deep-dive property reports and help agents answer buyer questions about a neighborhood's character and trajectory.
Public Records: Independent Verification
In addition to aggregated property data, RealAnalytica integrates directly with county-level public records for ownership verification, lien searches, and zoning lookups. Public records serve as an independent check on MLS and property data, catching discrepancies in ownership names, lot dimensions, or building permits that could affect a transaction.
Our public-records module is especially useful for listing agents preparing pre-listing packages. By pulling the deed, mortgage, and assessment data before the listing appointment, an agent can identify potential title issues, unpermitted additions, or outstanding liens that need to be addressed before going to market.
Data Normalization and Quality
One of the biggest challenges of working with multiple data sources is inconsistency. MLSPIN, RIAR, and SmartMLS each use different field names, property-type codes, and status labels. RealAnalytica's data pipeline normalizes every record into a unified schema so that a search for "single family, 3 bed, 2 bath" returns consistent results regardless of which MLS the listing originates from.
Our quality-assurance layer flags anomalies such as missing square footage, implausible price-per-square-foot values, or mismatched bedroom counts between MLS and tax records. These flags appear as inline warnings in CMA reports, alerting the agent to verify the data before presenting to a client.
Photo processing is another area where normalization matters. We standardize image dimensions, apply lossless compression for fast loading, and detect duplicate or placeholder images. The result is a polished, professional presentation whether you are viewing a listing on our map, in a CMA report, or on a seller portal.
Update Frequency and Reliability
RealAnalytica's data infrastructure is built for reliability. Our MLS polling services run on redundant infrastructure with automatic failover. We monitor feed health continuously to ensure consistent data availability.
Each data source has a defined refresh cadence optimized for the type of information it carries. Active MLS listings refresh every 15 to 30 minutes because status changes, price adjustments, and new listings need to appear quickly. Tax and assessment data refreshes monthly because those records change infrequently. Foreclosure filings update weekly to balance timeliness with API cost.
A data-freshness indicator on every listing detail page shows exactly when the record was last synced, so agents and their clients always know how current the information is.
Coverage Area and Expansion Plans
Today, RealAnalytica's live MLS coverage spans Massachusetts, Rhode Island, and Connecticut through MLSPIN, RIAR, and SmartMLS. Property data and public-records coverage is nationwide, meaning features like tax lookups, ownership history, and neighborhood demographics work for any U.S. address.
We are actively onboarding additional MLS systems with a focus on the broader Northeast corridor. Our integration roadmap is guided by customer demand, and agents in New York, New Jersey, New Hampshire, Vermont, and Maine can request early access as we bring those feeds online. Each new MLS follows the same normalization and quality-assurance pipeline, so the experience remains consistent as coverage grows.