ScienceToStartup
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113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
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Proof

  • Proof Layer
  • Dashboard
  • Example paper page
  • Signal Canvas
  • Topic proof layer
  • Benchmark scoreboard
  • Public dataset
  • Evidence
  • Workspace
  • Terminal
  • Talent Layer
  • Build Loop

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  • REST API
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  • Examples
  • OpenAI Guide
  • API Docs

Trends

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ScienceToStartup

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Official SDKs

ScienceToStartup is an Agent Operating System for Research Commercialization

API and MCP Platform for Turning Research Papers into Buildable Product Signals.

Use the official client surfaces when you want a stable wrapper around paper discovery, Signal Canvas, remote MCP, and workspace execution without rebuilding auth, endpoints, and action payloads by hand.

Create KeyQuickstartAPI Docs
Use one client surface for REST discovery, MCP calls, and workspace-native execution.
Start from proof objects like papers, topics, and benchmark surfaces, then keep those IDs stable through follow-on actions.
Treat SDKs as ergonomics wrappers, not as alternate contracts. OpenAPI, capabilities.json, and MCP remain the canonical interfaces.

Install (JavaScript / TypeScript)

pnpm add @sciencetostartup/sdk
# or
npm install @sciencetostartup/sdk

Install (Python)

pip install sciencetostartup-sdk

Quickstart (JavaScript / TypeScript)

import { ScienceToStartupClient } from "@sciencetostartup/sdk";

const client = new ScienceToStartupClient({
  apiKey: process.env.STS_API_KEY!,
});

const papers = await client.searchPapers({
  query: "voice agents",
  limit: 5,
});

const workspace = await client.createWorkspaceFromSeed({
  title: "Voice agent shortlist",
  seedType: "paper",
  seedId: papers.items[0]?.arxiv_id ?? "",
});

await client.runWorkspaceAction({
  workspaceId: workspace.workspace_id,
  runKind: "launch_pack",
});

Quickstart (Python)

from sciencetostartup_sdk import ScienceToStartupClient

client = ScienceToStartupClient(api_key="s2s_YOUR_KEY")

papers = client.search_papers(query="voice agents", limit=5)
workspace = client.create_workspace_from_seed(
    title="Voice agent shortlist",
    seed_type="paper",
    seed_id=papers["items"][0]["arxiv_id"],
)
client.run_workspace_action(
    workspace_id=workspace["workspace_id"],
    run_kind="launch_pack",
)

MCP via SDK

import { ScienceToStartupClient } from "@sciencetostartup/sdk";

const client = new ScienceToStartupClient({
  apiKey: process.env.STS_API_KEY!,
});

const tools = await client.listMcpTools();
const result = await client.callMcpTool("search_papers", {
  query: "voice agents",
  limit: 5,
});

See the live proof surface

Example paper page

Stable evidence receipt, viability score, citations, and execution handoffs on one public example URL.

Signal Canvas

Citation-first answer surface that turns paper context into research-to-product judgment.

Topic proof layer

Durable research-area page with paper counts, trend direction, authors, and top questions.

Benchmark scoreboard

Weekly ranking surface for high-signal papers and ranked commercialization comparisons.

Public dataset

Machine-readable export surface for papers, scores, tags, and canonical identifiers.

Build Loop

Execution workspace that takes proof context into verify, export, and launch-pack actions.

Stable contracts and discovery files

Official SDKs

JavaScript and Python client surfaces plus example quickstarts for REST, MCP, and workspace flows.

OpenAPI

Machine-readable REST contract for search, proof retrieval, Signal Canvas, and exports.

MCP endpoint

Remote MCP server for discovery tools, resources, and workspace actions.

Capability index

Product graph covering proof surfaces, install paths, and canonical action flows.

llms.txt

Short routing file for agents choosing between proof, developer, and install surfaces.

llms-full.txt

Exhaustive corpus and contract inventory for retrieval systems and agent builders.