Over the past half-century, Holland’s RIASEC model has dominated vocational interest research. Although the RIASEC categories effectively capture general occupational domains, their breadth obscures meaningful variability across underlying basic interests. In this research, we adapted the Comprehensive Assessment of Basic Interests (CABIN; Su et al., 2019) to be used alongside O*NET for assessing interest fit, resulting in the 60-item CABIN-NET that measures 20 basic interest scales nested within RIASEC domains. To construct the CABIN-NET, we selected basic interest scales central to the broader RIASEC types, then connected each scale to an O*NET knowledge variable. In Study 1, we refined items for the CABIN-NET using a nationally representative adult sample (N = 768). In Studies 2 and 3, we collected extensive reliability and validity evidence using longitudinal samples of graduates from four-year universities (N = 816) and community colleges (N = 560). Across samples, results consistently showed that basic interest fit had stronger predictive power for career outcomes compared to RIASEC interest fit, highlighting the CABIN-NET’s utility in research and applied settings. Overall, the CABIN-NET provides a short, reliable measure of both basic interests and RIASEC interests, offering two ways of objectively assessing person-occupation interest fit. The CABIN-NET also advances interest measurement by providing a standardized, hierarchical structure for grouping basic interests into RIASEC types, balancing bandwidth and fidelity.