Start generating an academic research paper with verified citations.

OpenPaper uses 18 specialized AI agents to search 500M+ academic sources (OpenAlex, Crossref, Semantic Scholar) and write a fully-cited paper.

Args: topic: Research topic or question (max 500 chars). Be specific for better results. Examples: "The impact of microplastics on marine ecosystems", "CRISPR applications in treating genetic disorders", "Transformer architectures in natural language processing" level: Academic level. Options: "High School", "Undergraduate", "Graduate", "PhD" pages: Target page range. Options: "5-10", "10-15", "15-20", "20-30", "30-40", "40-50", "50-60" Note: 5-30 pages = 1 credit, 30-50 = 2 credits, 50-60 = 3 credits citation_style: Citation format. Options: "APA 7th", "MLA 9th", "Chicago 17th", "Harvard", "IEEE", "Vancouver" language: Output language (e.g., "English", "Spanish", "French", "German") context: Additional context or instructions for the paper (optional, max 50,000 chars)

Returns: dict with generation_id to track progress via check_paper_status()

Check the status and progress of a paper generation.

Args: generation_id: The ID returned by start_paper_generation()

Returns: dict with status, progress percentage, current phase, and download URLs when complete.

Status values:
- "processing": Paper is being generated. Check back in a few minutes.
- "completed": Paper is ready! Download URLs are included.
- "failed": Generation failed. Start a new one.

When completed, the response includes:
- pdf_url: Download the formatted PDF
- docx_url: Download the Word document
- zip_url: Download everything (PDF + DOCX + citations JSON)
- citations_url: Download citations in JSON format

List your previously generated papers.

Args: limit: Maximum number of papers to return (1-50)

Returns: dict with list of papers including their topics, status, and download URLs.