MLSync.io

Building a production-ready RESO integration typically takes 3-6 months and requires understanding complex RESO standards and API quirks across different MLSs, building robust error handling and rate limit management, creating data normalization and validation logic, setting up database schemas and migration strategies, implementing change tracking and incremental sync, and maintaining it all as APIs evolve.

MLSync.io provides all of this out-of-the-box. Most customers are syncing data within 24 hours instead of spending months on infrastructure. You get immediate access to clean, normalized data with SQL queries, REST APIs, and full-text search—all maintained and monitored by our team.

Multi-MLS providers that offer unified RESO access have the advantage of providing a single API endpoint for multiple MLSs, which can simplify integration when working across different markets. However, they typically expose raw OData endpoints, which can be complex to work with and require deep understanding of OData query syntax.

MLSync.io takes a different approach: we provide an easy-to-configure REST API that's built on top of your synced data. Our API is straightforward to use, with a user-friendly dashboard where you can configure response formats to match your exact needs. Unlike raw OData, you don't need to learn complex query syntax—our REST API handles the complexity for you.

Additionally, MLSync.io includes built-in advanced features that you'd need to build yourself with raw OData: full-text search across all fields, intelligent typeahead with typo tolerance, configurable fields for optimized response sizes, and minimum latency responses. You also get your own PostgreSQL database with full SQL access, complete change tracking, and AI-ready features with MCP support—all without the complexity of managing OData queries.

Unfortunately, not as these data are protected by MLS boards.
To access MLS data legally, you need to partner with a licensed agent or broker (depending on MLS provider) who has RETS/RESO Web API credentials from their MLS. Services like MLSync.io do not provide raw MLS access; they only synchronize listings that you already should have access to under specific agreements with MLS boards.

Yes! We provide sandbox MLS access for development and testing using our existing connections. This lets you start building immediately while you work through the MLS approval process.

For production use, you'll need MLS membership through a licensed broker and proper board approval. We guide you through this process and can connect you with brokers who specialize in working with PropTech companies. Most approvals take 1-4 weeks and may be subject to pass-through fees from MLS platforms or additional charges based on the complexity of the MLS feed.

Setting up your feed is straightforward. In the MLSync.io backend, you can securely configure your RESO Web API or RETS credentials. Our system uses these to access the data on your behalf, handling all synchronization tasks automatically. We also manage credential rotation seamlessly, so you don't have to worry about service interruptions if your credentials are required to be updated periodically.

OpenAPI (formerly Swagger) is a specification for describing REST APIs, which makes it easy to generate client code and test queries using tools like Swagger UI. OData is a protocol that excels at querying data, which the RESO Web API uses for complex filtering. MLSync.io leverages both: we provide an OpenAPI-documented REST API and a user-friendly dashboard where you can easily configure the response format to fit your exact needs.

RESO is indeed a good standardized format for real estate data, and the Real Estate Standards Organization has done excellent work creating a common data dictionary. However, RESO Web API implementations can be very complex and chatty, requiring multiple API calls to retrieve complete property information. This complexity makes direct integration challenging for many teams.

While the RESO organization provides client implementations in several programming languages, these libraries are not maintained regularly and may require workarounds or hacks for certain MLS providers that implement the standard differently. MLSync.io handles all of this complexity for you—we normalize the data, handle provider-specific quirks, and provide a clean, simple REST API that works consistently across all MLS providers.

For teams that prefer to work with the standard format, we are preparing support for RESO Common Format. This will provide an easy migration path for those already using RESO-compliant systems, though it comes at the expense of some of our advanced features and optimized latency. Our standard REST API remains the recommended choice for most use cases, offering better performance and additional capabilities like full-text search and intelligent typeahead.

You can easily generate client code for our REST API using its OpenAPI specification. This allows you to interact with the API in your preferred programming language without writing boilerplate code. Popular tools for this include Swagger Codegen, OpenAPI Generator, and Postman. These tools can generate SDKs for dozens of languages, complete with models and request/response handling.

MLSync.io is designed for easy AI integration through its support for the Model Context Protocol (MCP). This allows AI models and agents to interact with your MLS data via a standardized protocol. Our customizable REST API makes it simple to expose your data—including virtual fields and labels—to AI applications, enabling you to build features like natural language search, property valuation models, and market trend analysis with ease.

We support all MLS providers in the US and Canada that offer RESO Web API or RETS access. Our system is adaptable to nearly any MLS data feed and can handle both modern RESO Web API imports and legacy RETS data imports. This includes major providers like Trestle, MLS Grid, Bridge Interactive, and hundreds of regional MLS boards.

We use the RESO Web API to replicate and import MLS data from your MLS provider into your own infrastructure. We support both real-time sync and batch import modes, allowing you to choose the best approach for your needs.

Yes, we support legacy RETS connections, though it requires additional configuration and testing. While we have tools to help convert RETS data to modern structures, the process needs careful attention to ensure accurate mapping and data integrity. We recommend using RESO Web API when available, as it's more reliable and easier to maintain. Contact us for more information about RETS import support.

We support import of all standard RESO data including property listings, agents, offices, open houses, and media (photos, videos, virtual tours). We can also import custom fields specific to your MLS provider. The data is imported incrementally to capture all changes while maintaining historical records.

You can configure synchronization schedules up to every 15 minutes or hourly or daily batch updates, depending on your needs.

Yes! Our visual schema editor allows you to create virtual fields using simple SQL expressions, rename attributes, and optimize your data model exactly as needed for your imported MLS data. Virtual fields are computed on-the-fly, so you can add calculations like price per square foot, days on market, or custom scoring without storing duplicate data.

We also provide a set of common virtual fields that are pre-configured for you, including street name, full address, coordinates, property age, and more.

Our REST API is highly optimized for minimum latency and typically responds in under 100ms for most queries even under high load. For Business and Enterprise plans, we also offer enhanced response schemas to reduce the number of required API calls.

As RESO is a complex data standard, the primary database purpose is to be our primary source of truth, that can answer even the most complex queries. For building your own tools on top of MLS data, we recommend using our REST API with low latency and high performance.

We primarily support PostgreSQL as our database of choice for MLS data import. For BYOD (Bring Your Own Database) plans, other databases like MySQL may be supported - contact us to discuss your specific database requirements for MLS data import.

Yes! While Elasticsearch is a common choice, we also support other popular search engines like OpenSearch, Apache Solr, Meilisearch, and Typesense. Each has its own strengths and we can help you choose the best option for your specific needs.

We can help you migrate from your current service and customize our response format to match your existing structure, minimizing the changes you need to make. Our REST search service is highly flexible - you can define your own response format using SQL queries, making integration seamless.

Yes! Contact us for a 90-day demo account to explore MLSync.io's features and capabilities before making a commitment.

Yes, we offer a 30-day money-back for Explorer, BYOD and BYOE plans so you can fully try MLS synchronization with your MLS provider risk-free.

Our Startup, Business, and Enterprise plans include unlimited MLS access—you can sync data from as many MLS providers as you need without additional per-MLS charges. This makes these plans ideal for companies working with multiple markets or brokerages.

The Explorer, BYOD, and BYOE plans are priced per MLS (as shown in the pricing). If you need access to multiple MLSs on these plans, discounts may apply—contact us to discuss volume pricing for your specific needs.