The use of automatically calculated metrics for the evaluation of ontologies can provide impartial support for knowledge engineers. However, even though the use of ontological representations is unabated – in opposite expected to rise through the increasing use of AI technologies – most ontology evaluation tools today are no longer available or outdated. At the same time, due to the growth of the computational cloud, service-driven architectures are on the rise, and enterprises tend to prefer to consume services in a platform- or software as a service model. In this paper, we argue that the change of the IT-landscape also requires a change in how we offer and consume ontology metrics. This hypothesis is backed by an industrial use-case of Robert Bosch GmbH and their application of ontologies, as well as their need and requirements for ontology evaluation. It motivated the extension of the tool OntoMetrics with a REST-interface, offering a public endpoint for ontology metrics on the In ternet.