Openalex Database

The openalex-database skill provides direct access to the OpenAlex API, enabling AI agents to retrieve comprehensive bibliographic data for academic research and literature analysis. It supports querying millions of scholarly works, authors, venues, and institutions with precise filtering capabilities.

When to use it

• Retrieving citation counts and publication years for specific papers or journals.
• Identifying key researchers and their institutional affiliations within a field.
• Analyzing trends in academic publishing by filtering results by subject area or year.
• Gathering metadata for systematic literature reviews or research dashboards.

Key capabilities

• Querying the OpenAlex API to fetch detailed records of scholarly works.
• Filtering results by various parameters such as DOI, title, author, or publisher.
• Accessing structured data including abstracts, keywords, and citation metrics.
• Supporting pagination for large-scale dataset retrieval.

Example prompts

• "Find all papers published in 2023 about machine learning ethics from top computer science journals."
• "List the top 10 most cited authors in renewable energy research over the last decade."
• "Retrieve metadata for papers with 'neural networks' in the title and provide their abstracts."

Tips & gotchas

Ensure your AI agent handles rate limits imposed by the OpenAlex API when making frequent requests. Always validate DOI inputs before querying to avoid errors or empty results.