Abstract: Computer systems and methods for interfacing with a third party website, comprising determining that a webpage of the third party website is being output in an interface of a web browser, and in response, generating an interface element that at least partially overlaps the webpage in the interface. The interface element includes a user-selectable graphical trigger that, when selected, causes digital codes to be automatically input into a data entry interface identified in the webpage, thereby triggering the third party website to receive each of the digital codes and to return a respective response. Based on monitoring the respective response to each of the digital codes, a particular digital code is identified that causes a greatest change in a numerical value displayed in the webpage. The particular digital code is applied to obtain a resulting numerical value that is displayed in the webpage.

Abstract: An online system accesses a machine learning model trained to predict behaviors of users of the online system, in which the model is trained based on historical data received by the online system that is associated with the users and demand and supply sides associated with the online system. The online system identifies a treatment for achieving a goal of the online system and simulates application of the treatment on the demand and supply sides based on the historical data and a set of behaviors predicted for the users. Application of the treatment is simulated by replaying the historical data in association with application of the treatment and applying the model to predict the set of behaviors while replaying the data. The online system measures an effect of application of the treatment on the demand and supply sides based on the simulation, in which the effect is associated with the goal.