Flow Engineering

Flow Engineering builds a requirements-management and AI-agent platform for hardware engineering teams. Its Systems Graph connects requirements, CAD, simulation, code, and test into a single system of record, and its AI agents continuously run impact analysis, check test coverage, verify compliance, and track mass, cost, and power budgets as designs change. Flow integrates with CAD, PLM, simulation, and developer tools (Onshape, GitHub, GitLab, Jira, Linear, Confluence, and more) and is used by hardware teams at companies such as Rivian, Joby, Skydio, and Isar Aerospace. The platform is backed by a GraphQL API at api.flowengineering.com secured with AWS Cognito OAuth2/OIDC, with API access included on paid plans. Flow Engineering is a portfolio company of EQT Ventures.

Flow Engineering is listed with 1 API on the APIs.io network. Tagged areas include Company, Software Development, Hardware Engineering, Requirements Management, and Systems Engineering.

Flow Engineering’s developer surface includes signup flow, pricing, engineering blog, authentication, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

26.7/100 thin ▬ flat Agent 3/100 human only Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

AccessSelf serve

1 API

Company Software Development Hardware Engineering Requirements Management Systems EngineeringMBSEAI Agents CAD PLM GraphQL

Kin Score

Kin Score How this is scored →
scored 2026-10-17 · rubric v0.24.0

Composite quality — 26.7/100 · thin

Contract Quality 1.1 / 21

Developer Ergonomics 2.4 / 17

Access Clarity 8.5 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 5.3 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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/flow-engineering: 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Engineering CAD, CAE and PLM	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

GraphQL

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

APIs 1

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

Flow GraphQL API

Flow Engineering exposes a GraphQL API for programmatic access to the Systems Graph (requirements, design artifacts, test cases, and integrations). The single GraphQL endpoint i...

Security Posture 3

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

Flow Engineering Authentication

oauth2/openIdConnect · 1 scheme

SECURITY

Flow Engineering Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Flow Engineering Trust Center

SOC 2 Type II, NIST 800-171, ITAR / EAR aligned, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Flow Engineering Scopes

4 scopes · authorizationCode/implicit

4 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Conventions

Conventions

Access & Security 5

Authentication, authorization, and security posture

Compliance

Authentication

OAuthScopes

TrustCenter

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: flow-engineering
name: Flow Engineering
description: Flow Engineering builds a requirements-management and AI-agent platform for hardware engineering teams. Its Systems
  Graph connects requirements, CAD, simulation, code, and test into a single system of record, and its AI agents continuously
  run impact analysis, check test coverage, verify compliance, and track mass, cost, and power budgets as designs change.
  Flow integrates with CAD, PLM, simulation, and developer tools (Onshape, GitHub, GitLab, Jira, Linear, Confluence, and more)
  and is used by hardware teams at companies such as Rivian, Joby, Skydio, and Isar Aerospace. The platform is backed by a
  GraphQL API at api.flowengineering.com secured with AWS Cognito OAuth2/OIDC, with API access included on paid plans. Flow
  Engineering is a portfolio company of EQT Ventures.
url: https://raw.githubusercontent.com/api-evangelist/flow-engineering/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- eqt-ventures
x-tier: enriched
x-tier-reason: portfolio-lead
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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://images.ctfassets.net/c2mtbunjxyfe/2QGR6p0asAXpvpfMUqWciO/0f4467ec22711446d218284b2aa4a5e3/open-graph.png
tags:
- Company
- Software Development
- Hardware Engineering
- Requirements Management
- Systems Engineering
- MBSE
- AI Agents
- CAD
- PLM
- GraphQL
tags_raw:
- Company
- Software Development
- Hardware Engineering
- Requirements Management
- Systems Engineering
- MBSE
- AI Agents
- CAD
- Product Lifecycle Management
- GraphQL
apis:
- name: Flow GraphQL API
  description: Flow Engineering exposes a GraphQL API for programmatic access to the Systems Graph (requirements, design artifacts,
    test cases, and integrations). The single GraphQL endpoint is served from api.flowengineering.com and is authenticated
    with AWS Cognito OAuth2/OIDC bearer tokens. API access is included on the Basic, Pro, and Enterprise plans.
  humanURL: https://flowengineering.com/
  baseURL: https://api.flowengineering.com/v1/graphql
  properties:
  - type: GraphQL
    url: https://api.flowengineering.com/v1/graphql
  - type: Authentication
    url: authentication/flow-engineering-authentication.yml
  - type: OAuthScopes
    url: scopes/flow-engineering-scopes.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://flowengineering.com/
- type: SignUp
  url: https://app.flowengineering.com/sign-in
- type: Login
  url: https://app.flowengineering.com/sign-in
- type: Pricing
  url: https://flowengineering.com/pricing
- type: Blog
  url: https://flowengineering.com/blog
- type: PrivacyPolicy
  url: https://flowengineering.com/privacy-and-cookie-policy
- type: Integrations
  url: https://flowengineering.com/integrations
- type: Compliance
  url: https://flowengineering.com/security
- type: WellKnown
  url: well-known/flow-engineering-well-known.yml
- type: Authentication
  url: authentication/flow-engineering-authentication.yml
- type: OAuthScopes
  url: scopes/flow-engineering-scopes.yml
- type: Conformance
  url: conformance/flow-engineering-conformance.yml
- type: TrustCenter
  url: security/flow-engineering-trust-center.yml
- type: DomainSecurity
  url: security/flow-engineering-domain-security.yml
- type: Conventions
  url: conventions/flow-engineering-conventions.yml
- type: LLMsTxt
  url: llms/flow-engineering-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence
x-parent: flow
x-relationship: product

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