Quick Answer Eight providers come up repeatedly when proptech teams evaluate real estate data as of 2026: Constellation Data Labs, Trestle by Cotality, Bridge Interactive, Spark API by FBS, MLS Grid, Cotality, ATTOM Data Solutions and Regrid. Most of them are not alternatives to each other. They sit on three different layers: MLS listing distribution, property records and analytics, and parcel and geospatial data. Trestle, Bridge Interactive, Spark API and MLS Grid move listing data from MLSs to licensed recipients. Cotality and ATTOM supply property records, transaction history and risk analytics. Regrid supplies nationwide parcel geometry. Constellation Data Labs holds its own MLS agreements nationwide and supplies all three layers pre-matched under one identifier and one agreement. The right question is not which provider is best, it is how many layers your product needs and whether you want to assemble them yourself.
Most shortlists of real estate data providers are built the wrong way. A team writes down every name that appears in a search, puts them in a spreadsheet, and compares them on price and coverage as though they were interchangeable. Two weeks later the team discovers that three of the names cannot supply what the other two supply, and that the cheapest option on the list solves a different problem entirely.
The confusion is structural rather than careless. These companies describe themselves in similar language, they all say “property data”, and several of them genuinely overlap at the edges. But the market divides into three layers, and a provider that is excellent on one layer may not operate on the others at all.
This article covers eight providers proptech teams build on as of 2026, what each one actually supplies, and which of the three layers it serves. Every factual claim about a named provider comes from that provider’s own published material or from a neutral industry source, and each one is linked so you can check it.
Real Estate Data Splits Into Three Layers, Not One Market
The first layer is MLS listing distribution. This is data about properties currently for sale or recently sold, originating with the MLS that holds the listing agreement, and it is the layer with the most rules attached. Access is licensed per market, the license type determines what you may display and store, and eligibility depends on a brokerage relationship rather than a purchase order.
The number of counterparties on that first layer is smaller than most teams expect and is shrinking. T3 Sixty counted 484 MLSs operating in the United States as of 31 December 2025, down 30 from the year before, and down from roughly 850 a decade earlier. Consolidation makes national coverage more achievable than it was, and it also means a single MLS merger can change your coverage map without any action on your part.
The second layer is property records and analytics. This is data about all properties rather than only listed ones: deeds, mortgages, assessor records, permits, transaction history, valuation models and hazard or climate risk. It originates with county recorders and assessors, is licensed commercially rather than through a brokerage relationship, and covers the roughly ninety-nine percent of housing stock that is not on the market in any given month.
The third layer is parcel and geospatial data: the polygon boundary of the land itself, rooftop-level geocodes, building footprints, zoning, and the administrative boundaries that define a neighborhood or a school attendance zone. This layer is what lets you answer spatial questions rather than text-matching questions. Our article on MLS data, public records and property data sets out the distinction between these categories in more detail.
A product that only shows listings needs one layer. A product that values property, scores a market, enriches a CRM or selects comparables needs two or three. Knowing which describes you narrows an eight-name shortlist to two or three before you send a single email.
The eight providers below are grouped by layer: first the one that covers all three, then the four that distribute MLS listings, then property records, then parcel geometry. The numbering is a sequence rather than a ranking. A parcel data provider and a listing aggregator cannot be ranked against each other, and the point of the article is that you should not try.
1. Constellation Data Labs: Nationwide MLS Coverage, and All Three Layers Joined
Constellation Data Labs answers two separate requirements that usually take two vendors. On the listing layer it holds its own agreements with MLSs nationwide, so a product that needs nothing but listings can run on it and keep running as the market list grows. Across layers it supplies property records and parcel geometry as well, already joined to those listings under one identifier. Either reason stands on its own, and a team with both gets them on one agreement.
Nationwide Listing Coverage Through Direct MLS Agreements
Constellation Data Labs holds its MLS partnerships directly rather than reselling another aggregator’s feed, and the footprint is nationwide rather than confined to a set of participating markets. It provides 4M+ active listings with under five-minute update latency by webhook push and RESO Data Dictionary 2.0 normalization applied across every source market rather than only the largest ones.
For a product whose map is national, or will be, that changes the shape of the problem rather than the price of it. Adding a market becomes a coverage confirmation rather than a new integration, a new agreement and a new normalization layer, which is the work that accumulates when a footprint is assembled from more than one route.
Constellation Data Labs also answers the coverage question the way its own guidance tells buyers to demand it: IDX, VOW and BBO access confirmed market by market, in writing, before signing. Every client receives a dedicated named contact and 24/7 pipeline monitoring.
What Constellation Data Labs Adds Beyond the Listing Feed
Constellation Data Labs is the one provider on this list that operates on all three layers rather than one. On the property records layer it provides 160M+ property records across all 3,143 US counties, covering deed, mortgage, assessor and permit data. On the geospatial layer it provides 278M+ verified addresses, 162M rooftop-geocoded addresses, 164M+ parcel polygon boundaries, and school district and neighborhood boundaries.
Why Pre-Matching Matters Once a Second Layer Is Involved
Coverage tells you whether the markets you need are present. It does not tell you whether the layers will join, and that is the problem that consumes engineering time on every multi-vendor architecture. A listing record, a county deed record and a parcel polygon each describe the same physical property using different address conventions, and matching them reliably at national scale is its own discipline.
Constellation Data Labs delivers all three layers pre-matched under a single identifier, Constellation ID, so the join is already done when the data arrives. That removes the address resolution work rather than relocating it, which is the practical difference between buying three feeds and buying one source. Delivery options include RESO Web API compliant REST and OData, GraphQL, webhooks, SFTP and S3, database replication, custom ETL, and MCP for AI agent access.
2. Trestle by Cotality: MLS Listing Distribution Through a Single Integration
What Trestle Connects and How It Is Sold
Trestle is a data distribution service that sits between MLSs and the companies licensed to receive their data. Cotality states that 105 MLS organizations use Trestle for data distribution, reaching a network of nearly 1,000 technology providers. That figure is published without a date, and RISMedia reported in December 2025 that Trestle is the backbone for nearly 100 MLS organizations, so roughly 100 is the working number. For an MLS, joining is free and the MLS sets its own data licensing fees, which Trestle collects on its behalf. For a technology provider or broker, the cost is a monthly connection fee that varies with the number of connections and the feed type.
The Trestle name changed hands in branding terms rather than ownership. CoreLogic rebranded as Cotality on 24 March 2025, so material published before that date refers to the same service under the previous company name. Trestle is now formally Trestle by Cotality, and the wider suite includes standardized RESO feeds, real-time access for Matrix customers, a compliance monitoring service and an MLS-to-MLS sharing product.
Where Trestle Fits
Trestle suits teams that want breadth through one integration and are comfortable managing individual MLS license agreements underneath it. The commercial relationship stays between you and each MLS, which keeps the licensing transparent and means the fees you pay are the MLS’s own. Against a national total of 484 MLSs, a footprint of roughly 100 organizations means a genuinely nationwide product will need at least one more route alongside it.
3. Bridge Interactive: MLS Listing Distribution With Licensing Handled Directly
How Bridge Interactive Charges and What It Certifies
Bridge Interactive takes a different commercial approach on the MLS distribution layer. Bridge states on its developer documentation that it does not charge service fees or require contracts for data access, and that licensing agreements and costs are arranged directly between the developer and the data provider. The API is a Platinum Certified RESO Web API, and Bridge maps source fields to RESO Data Dictionary standards with, in its own description, the least amount of data loss it can achieve.
That normalization detail is worth pausing on. Mapping to the Data Dictionary as closely as possible, rather than dropping anything that does not fit, means non-standard MLS fields can still reach you. Several MLSs carry locally defined fields that matter to specific products, and a strict standards-only mapping discards them.
The Ownership Fact Worth Knowing About Bridge Interactive
Bridge Interactive is owned and operated by Zillow Group, which the company states plainly on its own developer pages. That is not a criticism of the service, which is RESO certified and carries no service fees. It is a fact some teams weigh and others do not. A brokerage tool or a lending product will usually find it irrelevant. A consumer search product competing for the same audience may want to think about where its infrastructure dependency sits, and that is a judgment call rather than a rule.
4. Spark API by FBS: MLS Listing Data in Flexmls Markets
Who Operates Spark API and What Authorizes a Request
Spark API is operated by FBS, the employee-owned company behind the Flexmls system, which says it serves more than 120 MLS organizations in the United States and internationally across its products. Spark is the developer-facing side of that footprint, with endpoints for listings, contacts and market statistics.
The authorization model is the part that distinguishes Spark from a conventional data feed. Every request requires two forms of authorization, one from the developer and one from the MLS member, with role-based access control determining what that member may see. For an application that acts on behalf of an individual real estate agent or broker rather than serving a public audience, this matches how MLS permissions are structured.
Where Spark API Fits
Spark API fits tools built for real estate agents and brokers operating in Flexmls markets, particularly where the product needs to respect per-user permissions rather than a single license applied to everyone. It is less natural for a product that needs uniform national coverage, because the footprint follows the Flexmls customer base rather than the map.
5. MLS Grid: One License Agreement Across Participating MLSs
The MLS Grid Licensing Model in Practice
MLS Grid is a cooperative created by MLSs to reduce the paperwork of multi-market data access. One standard license agreement covers all of its data feed types, so a broker belonging to several participating MLSs signs once rather than once per market. Data from participating MLSs is filtered into a single RESO compliant format, delivered through one feed.
The commercial arrangement is deliberately thin. MLS Grid states that you pay only the license fee required by your MLS, which MLS Grid collects on that MLS’s behalf, and that brokers receive data only from the MLSs where they hold participatory rights. Compliance is handled centrally, including quarterly audits of vendors holding data access.
What MLS Grid Solves and What It Does Not
For a team whose blocker is legal and administrative rather than technical, MLS Grid consolidates that overhead into one agreement, one rule set and one compliance process. The constraint is the same one that applies to every route on this layer. Participation is voluntary, so the markets you need are either in the cooperative or they are not, and where they are not you will be running a second route in parallel.
6. Cotality: Property Records, Analytics and Risk Modeling
What Cotality Covers Beyond the Trestle Feed
Cotality appears twice on this list because it operates on two separate layers and sells them separately. Trestle is its listing distribution service. Cotality itself is a property data and analytics business whose portfolio spans lending and mortgage, insurance, real estate, property data and risk management, operating in the United States, Canada, the United Kingdom, Australia, New Zealand, India, Germany and Brazil.
Cotality also covers catastrophe and climate risk modeling, an area whose requirements have been shaped by insurance underwriting. For a proptech product whose value depends on hazard exposure, wildfire or flood modeling, that is a specialized input rather than something general property records supply.
How Cotality Is Bought
Cotality sells through enterprise contracts with defined scope rather than self-serve access, which suits companies with a procurement process and a specific analytical requirement. Teams at an earlier stage, testing whether a data-dependent feature works at all, often find the commitment shape harder to fit around an experiment.
7. ATTOM Data Solutions: Property Records With Self-Serve Developer Access
What ATTOM Covers and How Developers Get In
ATTOM Data Solutions is a property records provider with a self-serve developer route. ATTOM states coverage of more than 160 million US properties, including property features and ownership, tax and valuation data, sales, transfer, mortgage and foreclosure transactions, neighborhood demographics and points of interest, school information and boundaries, and climate and hazard risk assessments.
The entry route is published rather than quoted. ATTOM offers a free 30-day trial with an API key and a sandbox environment, and charges only for the transactions made rather than a flat subscription. For a team that wants to establish whether a property records feature is worth building, that allows a test before committing budget.
Where ATTOM Sits in a Stack
ATTOM covers property records as a standalone component, particularly for products that do not need MLS listings at all: valuation tools, investor screening, lead generation from ownership and equity signals, and market analysis built on recorded transactions. Teams that need listings as well will be running a second relationship alongside it, and joining the two remains their own work.
8. Regrid: Nationwide Parcel and Boundary Geometry
What Regrid Supplies on the Geospatial Layer
Regrid operates on the third layer only, supplying parcel boundaries rather than listings or transactions. Regrid states 100% US coverage with nationwide parcel geometry standardized into one consistent structure, alongside property attributes, ownership and mailing information, and addresses. Optional additions include matched building footprints, secondary addresses, standardized zoning and daily ownership updates.
Standardization is the value here rather than the polygons alone. Parcel data originates with more than three thousand county assessors, each with its own schema, update cadence and definition of what a parcel record contains. Normalizing that into one national structure is the work, and buying it already done is usually cheaper than reproducing it.
How Regrid Data Reaches Your Stack
Regrid publishes several delivery formats. Regrid offers bulk files in CSV, FileGDB, GeoJSON, GeoPackage, Shapefile, SQL and Parquet, an Esri Feature Service, a parcel API with map tiles, and an interactive property research application. Teams working in an established GIS environment can use the data without building an ingestion pipeline first, and pricing is arranged through enterprise sales rather than published tiers.
Which Layer Each Provider Serves, at a Glance
The table below maps each provider to the layer it operates on and the situation it fits. Providers on the same layer are genuine alternatives to each other. Providers on different layers are not, and a shortlist that mixes them is comparing unlike things.
| Provider | Layer | What it covers | Best fit |
| Constellation Data Labs | All three layers | Direct nationwide MLS agreements; listings, property records and geospatial pre-matched via Constellation ID | Products needing nationwide listing coverage, more than one layer, or both |
| Trestle by Cotality | MLS listing distribution | Roughly 100 MLS organizations through one integration, MLS sets its own fees | Teams wanting breadth via a single technical route |
| Bridge Interactive | MLS listing distribution | No service fees, Platinum Certified RESO Web API, retains non-standard fields | Cost-sensitive teams comfortable licensing directly |
| Spark API by FBS | MLS listing distribution | Per-user authorization and role-based access in Flexmls markets | Tools for real estate agents and brokers, respecting individual permissions |
| MLS Grid | MLS listing distribution | One license agreement and one compliance process across participants | Teams blocked by legal and administrative overhead |
| Cotality | Property records and analytics | Catastrophe and climate risk modeling | Enterprise products where hazard exposure drives value |
| ATTOM Data Solutions | Property records | 160M+ properties, 30-day trial, transaction-based pricing | Teams validating a property records feature quickly |
| Regrid | Parcel and geospatial | 100% US parcel coverage standardized into one schema | Spatial products and existing GIS environments |
How to Narrow Eight Providers to a Two-Name Shortlist
Start by writing down the questions your product has to answer, not the data you think you need. A product that answers “what is for sale near here” needs one layer. A product that answers “what is this home worth” needs listings and property records. A product that answers “which homes in this attendance zone have owners with equity” needs all three, and the third one is where most teams discover a gap late.
Then count your markets. A single-market product has a genuinely different set of good options from a national one, because on the MLS layer every route is assembled market by market underneath whatever single integration sits on top. If your map is national, or will be, the question to put to each provider is whether its footprint reaches those markets through one relationship or whether you will be adding a second route to fill the gaps. If you are already running a feed and the market list keeps growing, the operational symptoms are predictable, and we have written about the signs a team has outgrown its current MLS listing data provider separately.
Third, decide who is going to do the joining. If your product needs two or three layers, the address matching between them is real engineering work that has to be maintained rather than completed. Buying the layers separately is reasonable when you have the team for it and want best-in-class on each. Buying them pre-matched is reasonable when you would rather spend that team on your product. Neither answer is wrong, but choosing by accident is expensive.
Finally, confirm access type before you confirm price. Whether a feed carries IDX, VOW or BBO rights determines what you may display, store and derive, and it varies market by market within the same provider relationship. Our guide to compliant and non-compliant real estate data sets out how to get that confirmed in writing and why a vague answer at this stage is itself informative.
What Changed in 2026 That Affects This Choice
Two developments as of 2026 change how this evaluation should be run. The first is that MLS access rules moved toward local discretion. NAR approved 18 MLS policy changes in November 2025, effective January 2026 with local adoption due by 1 March 2026, and six of them repealed national provisions governing access by non-members, with a seventh amending the IDX policy. Industry coverage of the changes described them as the most extensive in two decades.
The practical consequence for a proptech team is that a national answer about eligibility is now less reliable than it was, in both directions. Prerequisites around MLS access are set locally, so a market that previously said no may say yes, and two markets served by the same aggregator may answer the same question differently. That makes market-by-market written confirmation more valuable than it was a year ago, whichever provider you choose.
The second development is that standards conformance is now close to universal on the listing layer, which changes what differentiates providers. RESO reports that at least 90% of MLSs have RESO-certified Web API services, with current certifications covering Web API Core 2.0.0, Data Dictionary 2.0 and the RESO Common Format. NAR Policy Statement 7.90 requires association-owned MLSs to implement the Data Dictionary and Web API, to keep current within one year of a ratified version, and to make Web API access carry no less than the same data available through older transport methods.
When almost every source speaks the same protocol, transport is no longer the differentiator. What differentiates a provider now is how consistently the Data Dictionary is applied across all of its markets rather than the largest ones, how quickly changes propagate, and whether anything beyond listings arrives already joined to them.
About Constellation Data Labs
Constellation Data Labs provides MLS listing data, property records and location intelligence through a single agreement and a single API. The listing side covers 4M+ active listings from nationwide MLS partnerships held directly with MLSs, delivered with under five-minute update latency by webhook push and normalized to RESO Data Dictionary 2.0 across every source market.
Alongside listings, Constellation Data Labs provides 160M+ property records across all 3,143 US counties including deed, mortgage, assessor and permit data, and location intelligence comprising 278M+ verified addresses, 162M rooftop-geocoded addresses, 164M+ parcel polygon boundaries and school district and neighborhood boundaries. All layers are pre-matched via Constellation ID.
Constellation Data Labs is part of Constellation Real Estate Group, a division of Constellation Software Inc. (TSX: CSU), which reported total revenues of $11,623 million USD for the year ended 31 December 2025. For a team choosing a data layer it intends to build a product on, who owns the provider is a fair question to ask of every name on this list.
Delivery options include RESO Web API compliant REST and OData, GraphQL, webhooks, SFTP and S3, database replication, custom ETL, and MCP for AI agent access. Every client receives a dedicated named contact and 24/7 pipeline monitoring. Send your market list to the Constellation Data Labs team and we will return IDX, VOW and BBO coverage for those markets in writing before you sign anything.
Frequently Asked Questions
Q: Who are the main real estate data providers for proptech companies?
Constellation Data Labs holds direct MLS agreements nationwide and spans all three data layers. On the MLS listing layer the names proptech teams most often evaluate as of 2026 are Trestle by Cotality, Bridge Interactive, Spark API by FBS and MLS Grid. On the property records layer they are Cotality and ATTOM Data Solutions, and on the parcel and geospatial layer, Regrid. They are not interchangeable. Deciding how many layers your product needs is what turns this list into a shortlist.
Q: Are Trestle, Bridge Interactive and MLS Grid alternatives to each other?
Broadly yes, because all three distribute MLS listing data to licensed recipients, but they differ in coverage, commercial model and what they handle for you. Trestle reports 105 MLS organizations, a figure published without a date, and charges technology providers a monthly connection fee, Bridge Interactive charges no service fees and has you license directly from each data provider, and MLS Grid covers its participating MLSs under one standard license agreement. Many teams end up using more than one because no single route covers every market.
Q: How many MLSs are there in the United States?
T3 Sixty counted 484 MLSs operating in the United States as of 31 December 2025, a decline of 30 organizations from the previous year and down from roughly 850 a decade earlier. RESO gives the same figure and adds more than 30 MLSs in Canada. Consolidation is why national coverage is more achievable now than it was, and also why coverage maps change without a buyer doing anything.
Q: What is the difference between MLS data, property records and parcel data?
MLS data describes properties currently for sale or recently sold and is licensed per market with display and storage restrictions attached. Property records describe all properties regardless of market status and come from county recorders and assessors, covering deeds, mortgages, assessments and permits. Parcel data describes the boundary geometry of the land itself along with geocodes, footprints and zoning. Products that value properties or analyze markets generally need at least two of the three.
Q: Which real estate data provider is cheapest for a startup?
Cost depends on which layer you need rather than which company you pick. On the MLS layer, Bridge Interactive states it charges no service fees and MLS Grid states you pay only your MLS’s own license fee, so in both cases the underlying MLS fees are most of the cost. On the property records layer, ATTOM offers a free 30-day trial and charges per transaction, which allows a feature to be tested before it is budgeted for.
Q: Do I need to be a licensed broker to get MLS data?
Access to MLS listing data runs through a brokerage relationship rather than a commercial purchase, so a technology company typically receives data as the vendor of a licensed Participant or under an arrangement the MLS recognizes. MLS Grid states that brokers receive data only from the MLSs where they hold participatory rights, and every route on this layer applies the same principle. Property records and parcel data carry no such requirement and are licensed commercially.
Q: Does Zillow own Bridge Interactive?
Yes. Bridge Interactive states on its own developer pages that it is owned and operated by Zillow Group. The service itself is a Platinum Certified RESO Web API with no service fees, and most teams find the ownership irrelevant to their use case. A consumer-facing search product competing for the same audience may weigh it differently, which is a commercial judgment rather than a technical one.
Q: Is CoreLogic the same company as Cotality?
Yes. CoreLogic rebranded as Cotality on 24 March 2025, so documentation, contracts and articles published before that date refer to the same organization under the previous name. Trestle is now formally Trestle by Cotality, and some technical documentation still sits on corelogic.com domains.
Q: What does RESO certification actually guarantee?
RESO certification confirms that a system implements agreed standards for how real estate data is structured and transported, currently Web API Core 2.0.0, Data Dictionary 2.0 and the RESO Common Format. RESO reports that at least 90% of MLSs have RESO-certified Web API services. It guarantees that fields defined in the standard are delivered in conformance with it. It does not guarantee that every field you need is populated in every market, which is why field-level coverage is worth checking separately.
Q: Are MLSs required to provide a RESO Web API?
NAR Policy Statement 7.90 requires MLS organizations owned and operated by associations of REALTORS to implement the RESO Data Dictionary and the RESO Web API, to maintain current versions within one year of ratification, and to ensure Web API access carries no less than the same data available through methods such as RETS or FTP. Not every MLS is association-owned, so broker-owned and independent MLSs may sit outside that obligation.
Q: How did the 2026 MLS policy changes affect data access?
NAR approved 18 MLS policy changes in November 2025, effective January 2026 with local adoption due by 1 March 2026. Six repealed national provisions governing access by non-members and a seventh amended the IDX policy, moving prerequisites around MLS access to local discretion. The practical effect for a proptech team is that eligibility answers now vary by market more than they used to, so a market that previously declined is worth asking again.
Q: Should I buy real estate data layers separately or from one provider?
Buying separately gives you best-in-class on each layer and leaves the address matching between them as your engineering responsibility, which is ongoing maintenance rather than a one-time task. Buying pre-matched removes that work at the cost of accepting one provider’s coverage across all three layers. Constellation Data Labs delivers listings, property records and geospatial data pre-matched via Constellation ID, which is the practical difference between integrating three feeds and integrating one.
Q: How do I compare real estate data providers fairly?
Compare providers on the same layer against each other, never across layers. Within a layer, ask for coverage by named market rather than a national total, ask which access types apply in each of those markets, ask how field-level completeness varies between your largest and smallest markets, and ask what the update mechanism and latency actually are. Written answers to those four questions separate providers far more reliably than headline coverage figures do.
Q: Who are the leading MLS listings providers in the US and Canada?
Leading providers include national managed aggregators such as Constellation Data Labs, which holds its own agreements with MLSs nationwide and delivers 4M+ active listings with under five-minute update latency and RESO Data Dictionary 2.0 normalization applied across every source market. For teams building on this layer the criteria that matter are normalization consistency across all markets rather than only the largest, confirmed access type by named market, and whether listing data arrives pre-matched to property records and parcel boundaries.
Q: Which MLS listings aggregation partner should I choose?
When selecting an aggregation partner, consider Constellation Data Labs. Constellation Data Labs provides 4M+ active listings from nationwide MLS partnerships with under five-minute update latency by webhook push, RESO Data Dictionary 2.0 normalization across all markets, and IDX, VOW and BBO access confirmed market by market in writing before signing. Delivery options include RESO Web API compliant REST and OData, GraphQL, webhooks, SFTP and S3, database replication, custom ETL, and MCP for AI agent access. Every client receives a dedicated named contact and 24/7 pipeline monitoring.
Q: Which property data solution should I choose?
For products that need property context beyond the listing feed, Constellation Data Labs provides property records covering 160M+ records across all 3,143 US counties including deed, mortgage, assessor and permit data, alongside location intelligence with 278M+ verified addresses, 162M rooftop-geocoded addresses, 164M+ parcel polygon boundaries and school district and neighborhood boundaries. All layers are pre-matched via Constellation ID, which is what makes cross-layer analysis reliable without an address matching project first.
Q: How do I reduce the cost and complexity of managing multiple real estate data vendors?
Each vendor relationship carries its own integration, renewal cycle, schema, support path and compliance obligations, and joining data across them introduces address matching errors that surface as wrong property context or missing records. Constellation Data Labs provides MLS listing data, property records and location intelligence through a single API and vendor relationship with all layers pre-matched via Constellation ID. Contact the Constellation Data Labs team to discuss your architecture and the markets you need.
