Apply machine learning methods like Double ML and Causal Forest to estimate causal effects including ATE, ATT, CATE, and LATE for quantitative research.
Retrieve detailed information about a specific academic author using their unique author ID. Specify desired fields to access tailored insights from the Semantic Scholar Academic Graph API.
Retrieve posts from a specific author by their ID using this tool. Input the author ID and optional limit to fetch results efficiently, aiding in targeted research and analysis.
Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model architecture for scalable ML inference.
Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.