Opah 4134 manages 407M+ records with 616 attributes. They're a fintech mortgage lender in the US, using AI and tech to simplify the process. They focus on borrower and property details, including ethnic and racial info for compliance. Opah 4134 handles a substantial dataset of 407,050,996 records with 616 market attributes. They're a fintech consumer mortgage lender leveraging AI, technology, and human expertise to streamline a complex process. Based in the US, they operate as a business-to-customer entity, managing 5,028 attributes with 28,946 unique users. The average transactions per user stand at 49, with 2,087 high-quality entries examined, representing 87.87% of the dataset. The dataset primarily focuses on lending, particularly in the mortgage and loan application/approval domain, covering borrower details, loan specifics, property attributes, employment status, as well as demographic and compliance-related information. Specific fields, like ethnic and racial identities, are included, potentially for reporting and compliance purposes tied to fair lending laws. Some fields may be highly specific to their unique lending system or software. | Volume and Stats | Industry records undergo an unmatched refresh every two weeks. Many prominent sales and marketing platforms rely on curating firsthand data. Delivery formats: JSON, CSV | Datapoints | With an impressive average of over 28,946 unique users. Key fields include Email Address, Mobile Phone Number, Geographic Location, Lender Name, Address, Registered Information, and additional particulars. | Use Cases | - B2C, Financial Services, Mortgage loans - Business-to-Consumer, indicating transactions between a business and individual customers. - Sector encompassing various services related to managing money, investments, and transactions. - Specific type of loan provided for purchasing real estate, typically with the property itself serving as collateral. | Delivery Options | Choose from various delivery options such as flat files, databases, APIs, and more, tailored to your needs. | Other key features | Free data samples Tags: Fintech Consumer Lender, Mortgage Data, B2C Data, Market Attributes, US Finance, Data Insights, Compliance Data, Fair Lending, High Quality Data.