Search at the edge of charted knowledge
Full-text retrieval across papers, books, patents, Wikipedia, and public discussion — sourced answers with canonical citations, for humans and AI agents
Evidence with coordinates
Every answer cites canonical source URIs — fixed positions in the corpus you can return to and verify. Retrieved text is evidence for review, not proof that a claim is correct.
Citation-grounded agents →
Give an agent compact search results, canonical source URIs, bounded full text, and document-level passage search.
Systematic reviews →
Build a traceable discovery and screening pipeline across scholarly metadata, abstracts, and available full text.
Patent prior-art search →
Search patents alongside papers and technical reference works, then preserve identifiers for expert review.
Build on the corpus
The same retrieval through three instruments: the web app to prototype, REST to automate, MCP for agents. One key, per-request pricing.
Search API
Ground your agents and models with the same retrieval over REST or MCP.
import requests
resp = requests.post(
"https://api.spacefrontiers.org/v1/search/simple/",
json={
"query": "breast cancer first-line drugs",
"source": "library",
},
headers={"Authorization": f"Bearer {API_KEY}"},
)
for doc in resp.json()["search_documents"]:
print(doc["document"]["title"])The charted corpus, in bulk
multi-billion documents across papers, books, patents, encyclopedias, and public discussion — collected, parsed, and embedded. Licensable for research and AI training.
Academic Papers
Scholarly publications across disciplines, with full text where available
Magazines
Magazine and periodical archives
Scholar Papers
Research papers with metadata and abstracts
Books
Millions of publicly available books in various formats
YouTube
Transcripts and metadata from public video content
Public discussions and community threads
Telegram
Messages and media from public channels
Dataset licensing
Bulk access is licensed per corpus and use — research, AI training, or commercial applications. See what is inside first; the methodology and figures are public.