Space Frontiers API Documentation
Integrate Space Frontiers search and data access into your applications with our comprehensive REST API. Access millions of documents across scholarly publications, social media, and more.
API Features
Semantic Search
Search across millions of documents using natural language queries with AI-powered semantic understanding.
Multi-Source Access
Query scholarly articles, Wikipedia, Telegram, Reddit, YouTube, and more from a single unified API.
Simple Authentication
Secure API key-based authentication with usage tracking and flexible pricing tiers.
Quick Start
- Get an API key from the API Keys page.
- Use the base URL
https://api.spacefrontiers.org. - Include your API key in the
X-Api-Keyheader.
Example: Search Request
curl -X POST https://api.spacefrontiers.org/v2/search/ \
-H "X-Api-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "machine learning transformers",
"limit": 10
}'Python Client Library
Use our official Python client for easier integration:
pip install spacefrontiers-clientsfrom spacefrontiers.clients import SearchApiClient
async with SearchApiClient(api_key="YOUR_API_KEY") as client:
response = await client.search_v2(
query="machine learning transformers",
limit=10,
)For complete API documentation, see the interactive API reference or fetch the OpenAPI spec.
Common Use Cases
Research & Academia
Build literature review tools, citation networks, and research discovery platforms with access to millions of scholarly papers.
OSINT & Monitoring
Monitor social media trends, track mentions, and gather intelligence from Telegram and Reddit communities.
AI Applications
Integrate real-time data retrieval into your AI agents, chatbots, and LLM-powered applications via our MCP server.
Data Analysis
Extract structured data, perform sentiment analysis, and build custom analytics pipelines with our search API.
Start Building with Space Frontiers API
Get your API key and start integrating powerful search capabilities into your applications today.