Enables discovery and analysis of research ecosystems by extracting metadata from paper URLs, GitHub repositories, and research names. Automatically finds related papers, code repositories, models, datasets, and authors across platforms like arXiv, HuggingFace, and GitHub.
Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.
Enables AI agents to search scholarly works, authors, institutions, venues, and concepts, retrieve detailed metadata, and explore citation networks through natural-language requests.
Enables AI assistants to conduct academic research workflows such as paper discovery, literature mapping, citation chasing, author pivots, citation repair, and regulatory or species document retrieval.