Code Audit for Real Estate

Where Data Errors Cost Six Figures

Real estate software sits at the intersection of messy data and high-value transactions. A listing with an incorrect price. A transaction document shared with the wrong party. A property record that duplicates when two MLS feeds overlap. In real estate, data errors have five- and six-figure consequences.

The real estate tech stack is also uniquely complex on the integration side. MLS systems use older standards like RETS alongside newer RESO Web API specifications. Data formats vary by market. Feed reliability varies by provider. A platform that works perfectly in one market can fail in another because the MLS sends data in a slightly different structure.

We audit real estate code with data accuracy and transaction integrity as the primary concerns. If your listings don’t match the MLS, if your transaction documents aren’t secure, or if your property data has duplicates and gaps - we find it.

MLS Feeds, Transactions, and Document Security

MLS integrations are the first priority. We review how your platform ingests listings from MLS feeds - the polling mechanism, data transformation, deduplication logic, and photo downloads. We check how you handle MLS-specific quirks: fields that mean different things in different markets, status codes that don’t map cleanly to your data model, and feeds that occasionally send the same listing with different IDs. We verify that updates and deletes propagate correctly, so your platform doesn’t show listings that have been withdrawn or sold.

Property data pipelines get a thorough accuracy review. We trace property data from ingestion through normalization, deduplication, and storage. We check address parsing and standardization, geographic coordinate accuracy, and how your system handles properties that appear in multiple data sources. We look for deduplication logic that’s too aggressive (merging distinct properties) or too conservative (showing duplicates that confuse users).

Transaction workflows are examined for correctness and security. Real estate transactions involve multiple parties, document exchanges, deadline tracking, and status updates. We verify that state transitions are enforced correctly - that a transaction can’t skip required steps, that deadline calculations account for weekends and holidays, and that status changes trigger the right notifications to the right parties.

Document management security is critical because real estate transactions involve personally identifiable information, financial records, and legal documents. We verify encryption, access controls, and sharing mechanisms. We check that documents are only visible to authorized transaction parties, that shared links expire appropriately, and that deleted documents are actually removed from storage.

User authentication and access controls get evaluated for the multi-role environment that real estate platforms require. Agents, brokers, buyers, sellers, title companies, and lenders all need different levels of access, often to the same transaction. We verify that role boundaries are enforced at the API level, not just in the UI.

Tracing Listings from Ingestion to Display

We start by understanding your market coverage and integration landscape. How many MLS systems do you connect to? Which standards are you using? What property data sources beyond MLS do you incorporate? This context determines where the highest-risk integration points are.

Then we conduct a systematic review of your data pipeline. We follow a listing from MLS ingestion through processing to display, checking data transformation accuracy at each step. We compare a sample of your stored listings against MLS source data to verify that prices, statuses, photos, and descriptions match. Discrepancies tell us where the pipeline has issues.

We trace transaction workflows through every state transition. We map the happy path and then test the edge cases: what happens when a party is added mid-transaction? When a deadline is extended? When a document is uploaded after the step it belongs to has been marked complete? Real estate transactions are messy, and your software needs to handle that messiness gracefully.

We review document storage and access patterns. We verify that your file storage configuration prevents unauthorized access, that URL-based document sharing doesn’t create permanent public links, and that access revocation actually works when a party is removed from a transaction.

Your Report, Prioritized by Business Impact

Your report focuses on three categories. Data accuracy findings document every place where your platform’s data could diverge from source-of-truth systems. Transaction integrity findings cover workflow logic, state management, and notification reliability. Security findings cover access controls, document protection, and authentication.

Each finding includes the specific code or configuration involved, the business scenario where it manifests, and a recommended fix. For MLS integration issues, we include the specific market and feed behavior that triggers the problem, since these issues are often market-specific.

The remediation plan is prioritized by business impact. Listing accuracy issues that affect customer trust get top priority. Transaction workflow bugs that could delay closings come next. Security improvements that reduce liability follow. Performance optimizations that improve user experience come last.

We include a testing strategy for MLS integrations that accounts for the real-world variability your platform encounters. Mocking MLS feeds with sanitized production data is more valuable than testing against ideal inputs. We help you set up test fixtures based on the actual edge cases we find, so your team catches market-specific integration bugs before agents report them.

For investors evaluating proptech acquisitions, our audit quantifies MLS integration fragility across markets and estimates the engineering effort to expand into new regions. Your deal team gets a clear picture of whether the platform’s data pipeline can support the growth your investment thesis assumes - with remediation costs tied to specific technical gaps.