Synthetic Sciences

Synthetic Sciences is a Y Combinator-backed AI research lab building foundation models for scientific discovery. Its flagship product, Atlas, is an agent-first research graph and infrastructure layer for autonomous science: durable typed nodes (hypotheses, experiment plans, recorded runs, evidence, decisions) linked into a shared, forkable map that humans and AI agents read and write directly over a REST API and the @synsci/atlas CLI. Atlas bundles a Library for indexing and grounded search over repos, docs, papers, and datasets, a cross-provider GPU compute marketplace, GEPA-based optimization and refereed autoresearch, and nine agent Skills. The lab also ships two open-source (Apache 2.0) projects: OpenScience, a model-agnostic AI workbench that runs the full research loop, and Delphi, a self-hosted MCP server that gives coding agents semantic context over code, papers, and HuggingFace datasets.

Synthetic Sciences publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Scientific Research, and Developer Tools.

Synthetic Sciences’ developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, support, CLI, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub

16.9/100 emerging ▬ flat Agent 10/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessSelf serve

1 APIs 1 MCP Servers

Company Artificial Intelligence Machine-Learning Scientific Research Developer Tools Agents Foundation Models Knowledge Graph MCP CLI Research Infrastructure

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 16.9/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 8.5 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.5 / 12

Discoverability 7.6 / 10

Agent readiness — 10/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/synthetic-sciences: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Atlas REST API

The direct HTTP API behind the Atlas CLI — the research graph, Library, runs, evidence, compute, and research surfaces. Bearer (thk_*) auth; JSON responses; Idempotency-Key on w...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Synthetic Sciences MCP Server

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Synthetic Sciences Authentication

http/oauth2 · 2 schemes

SECURITY

Synthetic Sciences Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

AgentSkill

AgentSkill

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

Idempotency

ErrorCatalog

Lifecycle

DataModel

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

ProductSite

ProductSite

Source (apis.yml)

aid: synthetic-sciences
name: Synthetic Sciences
description: 'Synthetic Sciences is a Y Combinator-backed AI research lab building foundation models for scientific discovery.
  Its flagship product, Atlas, is an agent-first research graph and infrastructure layer for autonomous science: durable typed
  nodes (hypotheses, experiment plans, recorded runs, evidence, decisions) linked into a shared, forkable map that humans
  and AI agents read and write directly over a REST API and the @synsci/atlas CLI. Atlas bundles a Library for indexing and
  grounded search over repos, docs, papers, and datasets, a cross-provider GPU compute marketplace, GEPA-based optimization
  and refereed autoresearch, and nine agent Skills. The lab also ships two open-source (Apache 2.0) projects: OpenScience,
  a model-agnostic AI workbench that runs the full research loop, and Delphi, a self-hosted MCP server that gives coding agents
  semantic context over code, papers, and HuggingFace datasets.'
url: https://raw.githubusercontent.com/api-evangelist/synthetic-sciences/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://app.syntheticsciences.ai/synsc-logo.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
- a16z
- firestreak-ventures
- pareto-holdings
x-tier: profiled
x-tier-reason: enriched-from-public-surface
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 16
  pass: local-v1
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Scientific Research
- Developer Tools
- Agents
- Foundation Models
- Knowledge Graph
- MCP
- CLI
- Research Infrastructure
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Scientific Research
- Developer Tools
- Agents
- Foundation Models
- Knowledge Graph
- Model Context Protocol
- CLI
- Research Infrastructure
apis:
- name: Atlas REST API
  description: The direct HTTP API behind the Atlas CLI — the research graph, Library, runs, evidence, compute, and research
    surfaces. Bearer (thk_*) auth; JSON responses; Idempotency-Key on writes. Base https://app.syntheticsciences.ai/api/v1.
  humanURL: https://docs.syntheticsciences.ai/atlas/rest-api
  baseURL: https://app.syntheticsciences.ai/api/v1
  tags:
  - Research
  - Agents
  - Knowledge Graph
  properties:
  - type: Authentication
    url: authentication/synthetic-sciences-authentication.yml
  - type: Conventions
    url: conventions/synthetic-sciences-conventions.yml
  - type: ErrorCatalog
    url: errors/synthetic-sciences-problem-types.yml
  - type: DataModel
    url: data-model/synthetic-sciences-data-model.yml
common:
- type: Website
  url: https://syntheticsciences.ai
- type: DeveloperPortal
  url: https://docs.syntheticsciences.ai
- type: Documentation
  url: https://docs.syntheticsciences.ai/atlas
- type: APIReference
  url: https://docs.syntheticsciences.ai/atlas/commands
- type: GettingStarted
  url: https://docs.syntheticsciences.ai/atlas/quickstart
- type: Pricing
  url: https://docs.syntheticsciences.ai/atlas/billing
- type: SignUp
  url: https://app.syntheticsciences.ai
- type: Support
  url: mailto:team@syntheticsciences.ai
- type: GitHubOrganization
  url: https://github.com/synthetic-sciences
- type: ProductSite
  url: https://tryatlas.sh
- type: LLMsTxt
  url: llms/synthetic-sciences-llms.txt
- type: Packages
  url: packages/synthetic-sciences-packages.yml
- type: SDKs
  url: packages/synthetic-sciences-packages.yml
- type: CLI
  url: cli/synthetic-sciences-cli.yml
- type: MCPServer
  url: mcp/synthetic-sciences-mcp.yml
- type: Authentication
  url: authentication/synthetic-sciences-authentication.yml
- type: Conventions
  url: conventions/synthetic-sciences-conventions.yml
- type: Idempotency
  url: conventions/synthetic-sciences-conventions.yml
- type: ErrorCatalog
  url: errors/synthetic-sciences-problem-types.yml
- type: Lifecycle
  url: lifecycle/synthetic-sciences-lifecycle.yml
- type: DataModel
  url: data-model/synthetic-sciences-data-model.yml
- type: Conformance
  url: conformance/synthetic-sciences-conformance.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/synthetic-sciences-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io

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