Compare PropTracer vs. RealEstateAPI (REAPI)

PropTracer is a cutting-edge platform that leverages artificial intelligence to provide property owners with highly precise contact details, boasting an impressive accuracy rate of 98%. Utilizing a sophisticated skip tracing algorithm, it meticulously cross-references a vast array of data sources, including property and tax records, to yield verified phone numbers, email addresses, and mailing details for any property across the United States. The platform adeptly navigates complex corporate ownership structures, uncovering the individuals behind LLCs, trusts, and shell companies through an engaging ownership visualization tool. Additionally, the AI-enhanced map search feature empowers users to create targeted lists by selecting specific properties and employing smart filters. PropTracer caters to a diverse clientele, including real estate investors, brokers, lenders, contractors, solar sales representatives, private equity firms, roofers, and various property service providers. With offerings that range from individual property searches that deliver rapid results to bulk processing capabilities for thousands of records, users can also engage in advanced list-building activities supported by confidence scoring. Ultimately, PropTracer enhances decision-making and streamlines processes for professionals in the real estate sector.

RealEstateAPI (REAPI) provides big data as a platform. We provide our customers with fast, flexible APIs that give them access to property information. Our 'Smart API System' delivers data and a data structure that makes development faster. Our APIs are used by a wide range of companies, from startups to publicly-traded companies, to create SaaS applications, train AI models and generate insights quickly. Our APIs are used by customers in the proptech, home services and fintech industries to access financial and physical details of 159M properties across the country. Our solutions allow companies to scale operations quickly while reducing risks and costs associated with data manipulation the old-school way.