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Drugnet is a dynamic and interactive web-based analytic environment, which hosts systematised data, from different sources and in different formats, ensuring maximum flexibility in data acquisition and processing, as well as data science. It is focused on Darknets cryptomarkets, and it allows the analysis of real-time data acquired, according to personalized analysis paths. The user can interact with the available information, querying the databases in simultaneous mode, following free, and not pre-packaged paths. It supports multiple methodology research activities, combining criminology, statistics, forensic science, computer science and artificial intelligence. But it also addresses the needs of other stakeholders, mainly law enforcement agencies, to understand the phenomenon, and draw an intelligence picture. This demo contains 78146 listings downloaded from 24 cryptomarkets; which are all the active markets except for Agartha, and Empire, for the exclusively month of April in 2017, 2018, 2019 and 2020. The substances identified for these 4 months are around 250. The dashboard is very easy to use, and it is structured in different sections which include data taken from the listings published by vendors in the cryptomarkets. When inserting data into the drugnet platform, a special work is done according to the completeness, and quality of data collected. The sample of data has been processed and substances have been re-classified and the quality of data has been assessed in order to be sure that the qualitative, and quantitative analysis is reliable, interesting, and exploitable. Entering the different sections, it is possible to investigate the substances identified, and reclassified divided as per macro-category, category and single substance as they have been identified in the month of April 2017, 2018, 2019 and 2020. From the list on the left it is possible to select a macro-category.a category. a substance. and a cryptomarkets. In the substance format section it is visualized the format in which the substances are sold with the associated percentage. It Is possible to visualize data in charts format. or in tables. The commercial routes section allows to visualize the information related to ship from, and ship to, as declared by the vendors. It is possible to select country of origin .country of destination. putting in relation origin and destination countries. and looking into data related to internal and foreign markets. The user can move from continents till the focus on the single nations. and look at substances related to a specific country. by filtering the nation of interest. In this table it is shown which substances are offered to the internal market and which ones to the foreign market. In the vendor analysis section the dashboard allows to see the distribution of vendors in the different cryptomarkets and per substances sold. For example, the user can see that for the alprazolam there are 116 sellers in Alphabay which corresponds to the 8% out of the total of sellers identified. Type of payment section shows which is the currency used for each substance sold, as declared in the listing. The undefined label is used when no information about the currency is provided. The vendor classification is related to the classification of substances done by the vendors. They can decide to insert substances under the correct category of reference or decide to include the product under another category, maybe due to marketing and visibility reasons. The total dose sold section allows to see the quantity of doses sold per each substance, cryptomarkets and crawling year. The last section includes the complete text of listings that can be investigated to search for other type of data such as information about the vendor's nickname, contacts, typing behaviours, social media etc. By bridging knowledge to action, drugnet analytic environment is designed to produce long-term effect on the law enforcement and policy makers capacity to better understand the most relevant crime factors and trends, and to step-up action on the broader and horizontal elements of the drugs phenomenon, with a specific focus on the role of the digitally enabled drug markets.