Get started with ScienceToStartup
Go from API key to launch pack in six steps. Use the same developer key for REST discovery, SDK calls, and remote MCP execution.
One key, every surface
Your developer key authenticates REST endpoints, the Python and TypeScript SDKs, and the MCP tool server. Create one at /developers/keys.
1
Get your API key
Create a developer key from the dashboard. The same key works for REST and MCP.
export SCIENCETOSTARTUP_API_KEY="s2s_YOUR_KEY"2
Install the SDK
Choose the TypeScript or Python package.
pip install sciencetostartup-sdk3
Verify your key
Call whoami to confirm the key is active and check your actor context.
curl -H "Authorization: Bearer $SCIENCETOSTARTUP_API_KEY" \
https://sciencetostartup.com/api/developers/whoami4
Search papers
Search the cs.AI corpus. Every paper has a viability score, evidence receipt, and citation graph.
curl -H "Authorization: Bearer $SCIENCETOSTARTUP_API_KEY" \
"https://sciencetostartup.com/api/v1/free/papers?q=voice+agents&limit=5"5
Create a workspace
Seed a workspace from a paper to start the commercialization journey.
curl -X POST \
-H "Authorization: Bearer $SCIENCETOSTARTUP_API_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"create_workspace","arguments":{"paper_id":"2401.12345","title":"Voice Agent Startup"}},"id":1}' \
https://sciencetostartup.com/api/mcp6
Run a launch pack
Execute the launch pack to generate due diligence, competitor analysis, and go-to-market strategy.
curl -X POST \
-H "Authorization: Bearer $SCIENCETOSTARTUP_API_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"launch_pack","arguments":{"workspace_id":"ws_abc123"}},"id":2}' \
https://sciencetostartup.com/api/mcpWhat's next
Dive deeper into each surface and build your integration.