Abstract: A computer-implemented method may include: providing an extension for a web browser, the extension having a user interface configured to occupy a portion of a user interface associated with the web browser; intercepting content fetched by the web browser for a web page being a company page, a social media page, or a professional page; processing the fetched content for the web page to extract information including: a company name, a candidate name, a job title, and/or an industry name; querying a database for contextual information based on the extracted information, the contextual information being a summary of information obtained from one or more sources other than the web page; and presenting, via the user interface, the contextual information including: company information based on the company name, candidate information based on the candidate name, job title information based on the job title, and/or industry information based on the industry name.

Abstract: Techniques and structures to facilitate anomaly detection within a networking system, including retrieving performance metric messages generated at a server, transmitting a compute request including the performance metric messages to a database system to perform an anomaly detection computation, retrieving data resulting from the anomaly detection computation and publishing the data resulting from the anomaly detection computation, wherein the anomaly detection computation comprises executing a machine learning model to process the performance metric messages to determine whether anomalous usage of the system has been detected.