Abstract: Disclosed embodiments provide techniques for a digital platform for automated content generation. One or more digital betting platforms are accessed. The digital betting platforms each provide one or more betting odds opportunities for online users, including odds opportunities for sporting events. The sporting events data is cross-validated with content from other websites to confirm that sporting events are active. A content trigger event corresponding to at least one of the betting odds opportunities is detected. Data from the betting opportunities is aggregated, and the data is used to generate a human-readable online article. The aggregated data is used to select one or more dynamic article features related to the betting odds opportunities. The dynamic article features are used as part of the human-readable online article. The online article is published and refreshed on a fixed-time cadence.

Abstract: Disclosed techniques enable evaluating betting odds using a digital platform. Two or more digital betting platforms are accessed. The digital betting platforms each provide one or more betting odds opportunities for an online user. The digital betting platforms comprise digital sportsbooks. The betting odds opportunities include an outcome of a head-to-head sporting contest. The betting odds opportunities from the digital betting platforms are parsed to enable identification of at least one common betting odds opportunity. Vigorish included by the digital betting platforms is removed from the betting odds opportunities. An odds discrepancy is identified between the two or more digital betting platforms for the common betting odds opportunity. A request is received from the online user for the common betting odds opportunity. An automated response is provided to the online user. The response contains information on the common betting odds opportunity.