Pathmind

Pathmind (formerly Skymind, the company behind the Deeplearning4j open-source deep learning library) was a San Francisco reinforcement-learning company that let simulation engineers train RL policies against AnyLogic and Python simulations without writing machine-learning code. The product had three parts: the Pathmind Helper, an AnyLogic palette item that exposed a simulation's observations, actions and reward function to Pathmind; a cloud training service where uploaded models became experiments; and Pathmind Serving, a FastAPI/Ray policy server that turned a trained policy into a REST prediction endpoint. A small first-party REST API (project listing and AnyLogic model upload, authenticated with an X-PM-API-TOKEN header) and a first-party Python simulation API on PyPI were published. Pathmind ceased operating in November 2021 — its own final release, pathmind-webapp v1.8.6, is titled "Final release - disabling sign-ups and upgrades" — and the app, API and marketing hosts no longer serve. The artifacts in this repository are the surviving public first-party surface, harvested from the company's own GitHub organization and PyPI.

Pathmind publishes 2 APIs on the APIs.io network: Model Upload API and Projects API. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Reinforcement Learning, and Simulation.

Pathmind’s developer surface includes documentation, API reference, changelog, and 16 more developer resources.

🌐 Visit website 📡 Source on GitHub

30.0/100 thin ▬ flat Agent 27/100 agent aware self hosted · Apache-2.0 Full breakdown ↓
scored 2026-09-04 · rubric v0.18.3

1 APIs

Company Artificial Intelligence Machine-Learning Reinforcement Learning Simulation Optimization Supply Chain Manufacturing Defunct

Kin Score

Kin Score How this is scored →
scored 2026-09-04 · rubric v0.18.3

Composite quality — 30.0/100 · thin

Contract Quality 11.3 / 23

Developer Ergonomics 6.8 / 18

Access Clarity 0.0 / 18

Operational Transparency 2.2 / 12

Contract Governance 0.5 / 11

Discoverability 6.8 / 9

Open Source Surface 2.5 / 10

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 18 / 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 8 / 8

Request/Response Examples 7 / 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

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

The six quality facets above are damped to 90 points between them, because the conditional facet above carries the other 10. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 90% 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/skymind: 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 2

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

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SourceCode

Packages

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

ChangeLog

ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 2

The organization behind the API

Website

Website

Investors

Investors

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: skymind
name: Pathmind
description: 'Pathmind (formerly Skymind, the company behind the Deeplearning4j open-source deep learning library) was a San
  Francisco reinforcement-learning company that let simulation engineers train RL policies against AnyLogic and Python simulations
  without writing machine-learning code. The product had three parts: the Pathmind Helper, an AnyLogic palette item that exposed
  a simulation''s observations, actions and reward function to Pathmind; a cloud training service where uploaded models became
  experiments; and Pathmind Serving, a FastAPI/Ray policy server that turned a trained policy into a REST prediction endpoint.
  A small first-party REST API (project listing and AnyLogic model upload, authenticated with an X-PM-API-TOKEN header) and
  a first-party Python simulation API on PyPI were published. Pathmind ceased operating in November 2021 — its own final release,
  pathmind-webapp v1.8.6, is titled "Final release - disabling sign-ups and upgrades" — and the app, API and marketing hosts
  no longer serve. The artifacts in this repository are the surviving public first-party surface, harvested from the company''s
  own GitHub organization and PyPI.'
url: https://raw.githubusercontent.com/api-evangelist/skymind/refs/heads/main/apis.yml
deliveryModel:
  model: self-hosted
  license: Apache-2.0
  open_source: true
  commercial: false
  callable_host: true
  label: Self-hosted open source · you run it yourself
  confidence: high
  source:
  - license
  - openapi
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: covered
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://raw.githubusercontent.com/PathmindAI/pathmind-webapp/dev/pathmind-webapp/src/main/resources/static/frontend/images/pathmind-logo-100x100.png
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-05'
modified: '2026-08-05'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Reinforcement Learning
- Simulation
- Optimization
- Supply Chain
- Manufacturing
- Defunct
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Reinforcement Learning
- Simulation
- Optimization
- Supply Chain
- Manufacturing
- Defunct
apis:
- aid: skymind:skymind-model-upload-api
  name: Pathmind Model Upload API
  description: The Model Upload API from Pathmind — 1 operation(s) for model upload.
  humanURL: https://github.com/PathmindAI/pathmind-webapp/tree/dev/pathmind-api
  baseURL: https://api.pathmind.com
  tags:
  - Model Upload
  properties:
  - type: OpenAPI
    url: openapi/skymind-model-upload-api-openapi.yml
  - type: Authentication
    url: authentication/skymind-authentication.yml
  - type: ErrorCatalog
    url: errors/skymind-problem-types.yml
  - type: Conventions
    url: conventions/skymind-conventions.yml
  - type: DataModel
    url: data-model/skymind-data-model.yml
- aid: skymind:skymind-projects-api
  name: Pathmind Projects API
  description: The Projects API from Pathmind — 1 operation(s) for projects.
  humanURL: https://github.com/PathmindAI/pathmind-webapp/tree/dev/pathmind-api
  baseURL: https://api.pathmind.com
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/skymind-projects-api-openapi.yml
  - type: Authentication
    url: authentication/skymind-authentication.yml
  - type: ErrorCatalog
    url: errors/skymind-problem-types.yml
  - type: Conventions
    url: conventions/skymind-conventions.yml
  - type: DataModel
    url: data-model/skymind-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/PathmindAI/pathmind-webapp/issues
- type: Releases
  url: https://github.com/PathmindAI/pathmind-webapp/releases
- type: AgentSkill
  url: skills/skymind-upload-anylogic-model.md
- type: Overlay
  url: overlays/skymind-pathmind-overlay.yaml
- type: License
  name: Apache-2.0
  url: https://github.com/PathmindAI/pathmind-webapp/blob/dev/LICENSE
- type: Website
  url: https://pathmind.com/
- type: GitHubOrganization
  url: https://github.com/PathmindAI
- type: SourceCode
  url: https://github.com/PathmindAI/pathmind-webapp
- type: Documentation
  url: https://github.com/PathmindAI/pathmind-api/blob/main/README.md
- type: APIReference
  url: https://github.com/PathmindAI/pathmind-webapp/blob/dev/pathmind-api/src/main/resources/openapi.yaml
- type: Packages
  url: packages/skymind-packages.yml
- type: SDKs
  url: packages/skymind-packages.yml
- type: WellKnown
  url: well-known/skymind-well-known.yml
- type: LLMsTxt
  url: llms/skymind-llms.txt
- type: Conformance
  url: conformance/skymind-conformance.yml
- type: Lifecycle
  url: lifecycle/skymind-lifecycle.yml
- type: ChangeLog
  url: changelog/skymind-changelog.yml
- type: DomainSecurity
  url: security/skymind-domain-security.yml
- type: Investors
  url: https://forgeglobal.com/skymind_stock/
x-enrichment:
  date: '2026-08-05'
  status: enriched
  artifacts_added: 16
  pass: local-v1
x-coverage:
  state: covered
  reason: null
  detail: Every pathmind.com host is behind a Cloudflare challenge or refuses connections — the company shut down in November
    2021 — but contract discovery found the real first-party OpenAPI 3.0.3 still published in the company's own GitHub organization,
    at pathmind-webapp/pathmind-api/src/main/resources/openapi.yaml, plus the official `pathmind` package on PyPI. No A2A
    agent card, MCP server, AsyncAPI or first-party security.txt exists on any host.
  evidence:
  - url: https://raw.githubusercontent.com/PathmindAI/pathmind-webapp/dev/pathmind-api/src/main/resources/openapi.yaml
    status: 200
  - url: https://pypi.org/pypi/pathmind/json
    status: 200
  - url: https://api.pathmind.com/openapi.json
    status: 0
  - url: https://pathmind.com/
    status: 403
  checked: '2026-08-05'

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