At SciSpace, we’ve spent years building research infrastructure loved by 9.6M+ researchers.
Today, we’re opening up that infrastructure to teams building research-powered products, internal R&D tools, and academic platforms through the SciSpace API.
Request early access:
tally.so/r/dWG01z
Docs are live here:
docs.api.scispace.com/
The API lets teams bring SciSpace directly into their own products, internal workflows and agents like claude code, codex, cursor and more, with access to:
→ Paper Search / Literature Review
→ Systematic Literature Review
→ Data Extraction from Papers
→ Find Topics
→ AI Detection
→ Citation Generation
We built this because good literature search takes more than a basic retrieval layer. Quality depends on full-text parsing, ranking, filtering, and trustworthy outputs.
We’ve seen teams spend significant time and budget building this infrastructure themselves, even when it was never meant to be their core product. So we’re opening up ours.
SciSpace indexes 300M+ papers, and we’ve focused on three things that matter a lot in practice:
1️⃣ Get more papers
Retrieve hundreds of relevant papers from a single query, instead of stopping at the first page of results.
2️⃣ Search full text
Search inside the full text, not just titles and abstracts. If the answer is buried in the methods, results, or discussion, the system can still find it.
3⃣ Apply filters
Shape the result set at query time based on the criteria that matter to your workflow, instead of manually filtering everything afterwards.
You can plug the API into Claude, Codex, GitHub Copilot, your own agents, or internal software your team already uses.
If reliable research is part of what you’re building, we’d love to hear what you’re working on. You can reach us at
[email protected]
Register for early access here
tally.so/r/dWG01z and get $20 in API credits to start building.
What do you plan to use this for? Drop your comments below.