PubMed API for AI Agents - Search 37M+ Biomedical Papers

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Dataset Overview

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What You Get

• Full-text search - Search across abstracts and paper content, not just titles
• Author metadata - Author names, affiliations, and ORCID IDs
• Citation data - DOIs, citation counts, and reference links
• Publication dates - Filter by date ranges for time-sensitive research
• Semantic ranking - Results ranked by relevance to your query

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Quick Start

from valyu import Valyu

valyu = Valyu()

response = valyu.search(
    "CRISPR gene editing therapeutic applications",
    search_type="proprietary",
    included_sources=["valyu/valyu-pubmed"],
    max_num_results=10
)

for result in response.results:
    print(f"Title: {result.title}")
    print(f"Authors: {', '.join(result.authors) if result.authors else 'N/A'}")
    print(f"DOI: {result.doi or 'N/A'}")
    print(f"Content: {result.content[:300]}...")

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Use Cases

• Literature reviews - Comprehensive searches across biomedical literature
• Drug discovery research - Find studies on compounds, targets, and mechanisms
• Clinical evidence - Locate clinical studies and treatment outcomes
• Systematic reviews - Gather sources for meta-analyses
• Medical AI training - Build datasets for healthcare AI applications

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Combine with Other Sources

response = valyu.search(
    "CAR-T cell therapy clinical outcomes",
    search_type="proprietary",
    included_sources=[
        "valyu/valyu-pubmed",
        "valyu/valyu-clinical-trials",
        "valyu/valyu-biorxiv"
    ],
    max_num_results=20
)

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Related Data Sources