There has been a recent push towards the use of measurement-informed inventories for reporting methane emissions from the oil and gas sector, as traditional activity-based, bottom-up inventories have been shown to underestimate emissions. This move towards direct measurements has been reinforced by regulations in the United States, the European Union, and by global voluntary initiatives. Aerial survey-based measurement technologies (sometimes referred to as "snapshot" measurement technologies) are a common method for measuring methane concentrations and estimating emission rates. These technologies have been evaluated by many controlled re-lease studies, showing reliable quantification accuracy with relatively well characterized error distributions. However, when using survey-based technologies, repeated measurements of any individual emission source are often separated by long periods of time (e.g., a three month gap between quarterly surveys). When surveys are conducted in this manner, the small number of measurements over time makes it challenging to accurately characterize the temporal variability of individual intermittent sources. Intermittency is now understood to be a feature of many types of emissions from the oil and gas sector. This has important implications for creating annualized inventories, as it means that a small number of measurements of an intermittent source may not capture the long-term average emission rate of that source. As such, survey-based technologies are often used to estimate large-scale (e.g., basin-scale) emission inventories, where the issue of intermittency is overcome by measuring a large number of sites. In this setting, it is reasonable to assume that emissions from a given site are distributed according to a common distribution shared by many other sites, and therefore, by measuring many sites, all possible emission states in their relative frequency will be observed. This assumption of a common emission distribution can be made at the basin-level or at smaller scales (e.g., by operator or site type). Continuous monitoring systems (CMS) measure site-level methane concentrations in near real time and therefore have the potential to create site-level inventories that account for highly intermittent emissions. These site-level inventories would require no assumptions about the emission characteristics of similar sites, as they would be based solely on measurements taken at the individual site level. Site-level inventories are required by the US Environmental Protection Agency (EPA), are important for differentiated gas markets at the sub-basin scale, and are required by voluntary initiatives like OGMP 2.0. Of course, the potential benefit of CMS-based, site-level inventories will only be realized if CMS solutions can be shown to accurately detect, localize, and quantify methane emissions. With this in mind, there is a growing body of literature aiming to both improve the capabilities of CMS and also evaluate their performance. Multiple teams are developing open-source methods for emission detection, localization, and quantification using CMS and for addressing CMS non-detect times when emitted methane is not captured by any sensor. These open-source tools can be used to benchmark private, proprietary solutions. On the evaluation side, CMS detection efficiencies and times to detection are being assessed using simulation studies, and multiple controlled release experiments have been conducted to evaluate the performance of different CMS solutions. Finally, there is a growing body of research evaluating CMS on operating oil and gas sites, as opposed to controlled release facilities, often by performing methane releases on top of the background emissions resulting from normal operations. We add to this body of literature by comparing three point-in-space CMS solutions on six operating oil and gas sites in the Appalachian basin. No controlled releases were performed for this study, and as such, we have no ground truth to compare CMS results against.