AI-Native Academic Paper Access API
High-performance REST API designed for AI agents to efficiently access and process academic papers from arXiv and PMC
📚 2.92M arXiv 🏥 7.5M PMC 🚀 T+0 Sync ⚡ High Performance 🔒 Token Auth
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API Documentation
Interactive documentation with live examples and API playground
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2.92M arXiv Papers
7.5M PMC Papers
T+0 Daily Sync
10,000 Free Daily Requests
~50ms Response Time

🐍 Python Package

deepxiv-sdk

Python SDK for arXiv paper access with CLI and MCP server support - search, read, and analyze research papers with AI agents

pip install deepxiv-sdk
# Quick Start
from deepxiv_sdk import Reader

reader = Reader(token="your_token")

# Search papers
results = reader.search(
  "transformer models",
  size=10
)

✨ Key Features

Lightning Fast
Optimized infrastructure with ~50ms response time for most requests
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On-Demand Loading
Fetch only what you need - metadata, sections, or full content
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Smart Search
Built-in retrieval with title and abstract snippets
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Multiple Formats
JSON, Markdown, HTML, or plain text - your choice
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T+0 Daily Sync
2.92M arXiv papers synchronized on the same day they're published
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PMC Collection
7.5M PMC papers with fine-grained parsing and structured data