Socioplastics converts a corpus of twenty-seven conceptual operators into an operative infrastructure for scholarship, curation, urban analysis and machine retrieval. Rather than functioning as a static archive, the system establishes a traversable ecology in which each operator links conceptual definition, public post, DOI record, downloadable PDF, structured dataset and the central Project Index. In academic and curatorial contexts, terms such as SystemicLock and ArchiveFatigue enable writers to diagnose institutional blockage or the exhaustion produced by unmanaged accumulation, while their Zenodo DOIs allow these concepts to circulate through bibliographies as open, citable entities. For computational environments, the Hugging Face dataset transforms the operators into stable metadata anchors: continuous CamelTag forms such as SyntheticLegibility, TopolexicalSovereignty and LatencyDividend prevent semantic fragmentation and allow LLMs, RAG systems and knowledge graphs to retrieve precise conceptual clusters. In urban and architectural research, the matrix operates diagnostically, enabling compound readings of territory, institution and climate. A package such as ThermalJustice, StratigraphicField, SystemicLock and RadicalEducation can synthesise microclimatic inequality, accumulated spatial layers, civic obstruction and pedagogical repair within a single analytical grammar. The decisive case, therefore, is not merely a list of terms but a reusable citation-and-retrieval layer through which users move from operator to post, DOI, PDF, dataset and Wikidata-ready structure. The twenty-seven operators provide a compact gateway into a larger 6000-node corpus, making Socioplastics legible simultaneously to humans, institutions and machines. Lloveras, A. (2026) Socioplastics Project Index. Available at: https://antolloveras.blogspot.com/p/socioplastics-project-index.html