Lender Price

Live mortgage pricing, eligibility and lock-decision panel for the wholesale and non-delegated correspondent channel. As a cloud-native product-and-pricing engine used by lenders to quote loans, it records every pricing scenario and outcome: loan-level price adjustments, investor-specific pricing, eligibility rule evaluations across agency, non-agency, non-QM and debt-service-coverage-ratio programmes, the full lock lifecycle from first quote through lock, intraday rate movement, and execution outcomes across more than 100 investor relationships. Coverage is substantial for this channel — roughly $30 billion of funded loan volume passes through monthly, the platform serves 22 of the top 30 wholesale lenders including 8 of the top 12 banks and credit unions, and a newer portfolio-pricing capability reprices entire servicing books of millions of loans overnight. The company has also exposed the engine through a model-context-protocol interface, so it is explicitly architected for machine consumption.

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Coverage

Universe, instruments and categories.

Industry: Data Processing & Outsourced ServicesMortgage Finance
Instruments: fixed_incomestructured_products

Dataset card

Type: not stated
Format: Tabular and API-native — structured pricing and eligibility records with lock-lifecycle events, delivered through a software platform, APIs into loan origination systems, and a published model-context-protocol interface for AI-agent access. Machine-to-machine delivery is therefore already standard practice for this vendor rather than a new build. No public data feed.
Volume: roughly $30 billion in funded loan volume monthly alongside an unquoted but clearly larger volume of pricing scenarios, since a pricing engine logs every scenario considered and abandoned, not only the loan that proceeds — implying millions of priced scenarios and lock events per month, each carrying product, eligibility, investor, pricing-component and outcome attributes, plus a portfolio repricing layer that has been run across books of millions of loans.
Users: 22 of the top 30 wholesale lenders plus 8 of the top 12 banks and credit unions as platform clients, with thousands of individual users cited, and a new model-context-protocol interface extending access to AI agents; the upstream data-contributing population is therefore the broker and correspondent origination base behind those lenders.
History: 10 years
Update frequency: not stated
Growth: Active — production integration launches announced as recently as October 2026, a model-context-protocol product released for AI-agent access, an active hiring drive across sales, operations and technology announced in May 2026 while competitors were downsizing, and consecutive industry awards through 2026. Clear expansion posture against a contracting industry backdrop.
Launched: 2015-2016 (co-founded in 2015, with company profiles dating establishment to 2016 in Pasadena, California), succeeding earlier mortgage-technology ventures by the founding team; the platform has since expanded from pricing and eligibility into automated underwriting for non-agency loans, portfolio repricing, and AI-agent access.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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