Model Match vs Cotality
Verification & Data head-to-head · axis by axis, same rubric for both
Verification & Data
Stone Point Capital and Insight Partners
| Axis | Model Match | Cotality |
|---|---|---|
| Production impact | 4.9 | 4.0 |
| Functionality & depth | 4.8 | 4.9 |
| Integrations & ecosystem | 4.3 | 4.4 |
| Adoption & support | 4.9 | 3.2 |
| Return on spend | 4.9 | 3.2 |
| Overall | 4.8 | 4.0 |
Model Match wins 3 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Model Match and Cotality are both scored in Verification & Data. Model Match carries an overall of 4.8, Cotality an overall of 4. The widest gap between them is Return on spend, at 1.7 of a point. That axis measures what the spend returns, which is not the same as being cheap. Model Match takes it, 4.9 to 3.2.
Where the five axes separate
On Return on spend the record favours Model Match, 4.9 against 3.2. On Adoption and support the record favours Model Match, 4.9 against 3.2. On Production impact the record favours Model Match, 4.9 against 4. On Integrations and ecosystem the record favours Cotality, 4.4 against 4.3. On Functionality and depth the record favours Cotality, 4.9 against 4.8.
In Verification & Data the rubric weights Production impact heaviest, at 25 percent. That is why the two overalls sit where they do.
How the weights turn axes into a score
Production impact carries 25 percent of the Verification & Data score. It measures whether the tool moves volume, pull-through or cycle time. Functionality and depth carries 20 percent of the Verification & Data score. It measures whether it handles the messy loans and not just the clean file. Integrations and ecosystem carries 20 percent of the Verification & Data score. It measures how well it reaches the rest of the stack. Adoption and support carries 10 percent of the Verification & Data score. It measures whether the team adopts it and gets unstuck. Return on spend carries 25 percent of the Verification & Data score. It measures what the spend returns, which is not the same as being cheap.
Pricing posture
Model Match publishes pricing. Its listed model is published per-seat monthly tiers from $49 to $199, plus custom enterprise. Cotality does not publish pricing. Its listed model is quote only, enterprise contracts. One of the two can be costed before a sales call, the other cannot.
Deployment and who each one targets
Deployment for Model Match: Cloud, self-serve with a 14-day trial and month-to-month billing. Deployment for Cotality: Cloud, APIs, cloud marketplace delivery and LOS integrations. Segment focus for Model Match: Mortgage recruiters, branch managers and originators sourcing talent and agent partners on a small budget. Segment focus for Cotality: Large lenders, servicers and capital markets participants buying property data at scale. The two entries name different buyers.
What each record credits
Model Match: Rates published outright, from $49 to $199 monthly, with trial and no annual contract. Model Match: Search plus built-in outreach, calling, notes and email, so recruiters skip the spreadsheet. Model Match: Founded by working mortgage recruiters, so it matches how recruiting actually runs. Model Match: Premium includes unlimited profile, list, company and office exports, which rivals meter hard. Cotality: One counterparty covers property data, flood, tax servicing, valuation and fraud scoring. Cotality: Stone Point Capital and Insight Partners ownership since 2021 brings rare capital depth. Cotality: Data ships through Snowflake and Databricks marketplaces, not only proprietary APIs. Cotality: Mercury Network and the Collateral Management System hold deep lender installed bases.
What each record holds against them
Model Match: Transaction history starts in 2017, shorter than the deepest rival datasets. Model Match: No CRM or LOS integration named, no applicant tracking either; API sits top-tier. Model Match: The 25,000-professional user figure and client logos are self-reported, without third-party confirmation. Model Match: Enterprise pricing is custom, so the low-tier transparency stops at company-wide scale. Cotality: Bundled, opaque pricing makes per-product cost hard to isolate at renewal. Cotality: Enterprise sales and implementation run long against point-solution rivals in every category. Cotality: The 2025 rename means contracts and references still carry both names. Cotality: Cloud marketplace connections are published; a named LOS integration list is not.
Which one fits which shop
Best fit for Model Match: A recruiter who wants originator production data and a pipeline CRM in the same seat. without an enterprise contract. Best fit for Cotality: An enterprise that wants property, flood, tax and valuation data from one counterparty.
What each entry concludes
Model Match: Model Match grew out of the recruiting agency Hammerhouse, and it shows. Model Match: This is a recruiter’s tool first and a market data product second. Model Match: Production data back to 2017 sits beside pipelines, contact lists, outbound calling, AI call notes and email outreach. Model Match: It fits branch managers and in-house recruiters who cannot justify an enterprise data contract. Model Match: Published month-to-month rates from $49 remove most of the risk of trying it. Cotality: Cotality is CoreLogic renamed in March 2025, private under Stone Point Capital and Insight Partners since June 2021. Cotality: The lending catalogue runs property and address data, flood determinations, tax servicing, and valuation through Mercury Network. Cotality: AutomatIQ Borrower covers verification and LoanSafe covers fraud risk. Cotality: Consolidation decides it: few vendors supply this much under one master agreement. Cotality: Big shops buy it for fewer counterparties, not for category-best performance in each line.
The short answer
Model Match finishes ahead on the published rubric, 4.8 to 4. The margin comes mostly from Return on spend. Same rubric, same weights, no sponsorships.
Both tools are scored on the same weighted rubric, production impact carries the most weight. Comparisons are never sponsored. Disclosure →