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.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Pathmind the way a machine reads it — 7 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Pathmind scores 31.3/100 (thin), with a separate agent-readiness read of 31/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
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<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/skymind/"
title="Pathmind on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/skymind.svg"
alt="Pathmind Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/skymind/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/skymind/"
title="Pathmind on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/skymind/card.svg"
alt="Pathmind Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Pathmind
Each block below is one kind of artifact we hold for Pathmind. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Pathmind Model Upload API
The Model Upload API from Pathmind — 1 operation(s) for model upload.
Pathmind Projects API
The Projects API from Pathmind — 1 operation(s) for projects.
Open Collections 3
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONPathmind Model Upload API
OPEN COLLECTIONPathmind Projects API
OPEN COLLECTIONSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Pathmind — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/skymind · machine-readable index on apis.io
This is an independent, third-party profile of Pathmind, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.