Api Client

A comprehensive tool for accessing Federal Reserve Economic Data (FRED), providing 800,000+ economic time series including GDP, unemployment, inflation, and interest rates. Includes a Python client library with automatic retry/caching and extensive API documentation for economic research and financial analysis.

This skill enables access to USPTO patent and trademark data through official APIs. It includes Python clients for patent search, examination history (PEDS), trademark status (TSDR), and assignment tracking, supporting IP analysis and prior art research.

This skill enables querying the STRING database for protein-protein interaction networks, functional enrichment analysis (GO, KEGG, Pfam), and homology comparisons. It covers 59 million proteins across 5000+ species and supports workflows like network visualization, pathway analysis, and hub protein discovery.

This skill enables querying the NCBI Gene database for gene annotation and functional analysis. It provides Python scripts to search genes by symbol or ID, retrieve detailed gene metadata including RefSeqs, GO annotations, chromosomal locations, and phenotypes, and perform efficient batch lookups with built-in rate limiting.

This skill enables querying the Ensembl genome database, a comprehensive resource for vertebrate genomic data maintained by EMBL-EBI. It supports gene information retrieval, DNA/protein sequence fetching, variant effect prediction using VEP, ortholog discovery, and coordinate mapping between genome assemblies for over 250 species.

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.