Analyzing production systems from a circular economy (CE) perspective helps pinpoint interventions to reduce the ecological footprint by reducing the use of resources, waste recovery, prolonged usage of products, recycling and reuse. Few studies exist on the measurement of the CE at the micro-level. Also, available metrics propose indicators that study only certain aspects of the CE’s socio-economic metabolism leaving other important components of the CE concept. Other frameworks propose a single indicator that aggregates and summarizes several facets of the CE into a one-dimension information. These frameworks are limiting since no single existing indicator encompasses all the requirements of the CE paradigm. This study develops a structured methodological approach and an analytical framework for designing indicators to holistically assess CE at the micro (unit of production) level in agriculture. The approach proposed is based on a literature review, the ECOGRAI method for indicator development and on validation methods with experts and final users. The proposed methodology is applied to a case study of egg production in Canada. For this case, 25 performance indicators (PIs) were generated for 11 decision variables selected as important for the sector, and the whole resulted to a practical tool which proposes fourteen (14) concrete actions of intervention to improve economic circularity (EC) within egg farms. Not all PIs will be evaluated in the same standard for all farms: a trade-offs analysis (using decision trees for example) may help judging the best practices according to the specific environment of the farm. Our methodological approach could be replicated to identify EC performance of other agricultural sectors.Developed in France (University of Bordeaux), this acronym stands for (in French): ECO: Economy, GRAI: Groupe de Recherche en Automatisation Intégrée (Research Group for Integrated Automation) (Doumeingts et al., 1995).