Stash
Stash is an open-source self‑hosted media organizer designed for personal adult video and image collections. It provides a private, PornHub‑like experience, allowing users to browse, tag, rate, and stream their own content securely. Features include scene management, markers, galleries, metadata scraping, plugin support, and cross‑platform installations (Windows, macOS, Linux, Docker, Synology, TrueNAS, Unraid). The project is community‑driven, with documentation, source code, and donation options available.
Stash is listed with 1 API on the APIs.io network. Tagged areas include Company, Media, Open-source, Adult, and Organizer.
Stash’s developer surface includes changelog, engineering blog, getting-started guide, documentation, support, pricing, and 7 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Stash API
API documentation for Stash, an open-source self‑hosted media organizer.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
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 2
Properties that don't map to a standard resource type
Source (apis.yml)
Stash API — frequently asked questions
Does Stash have an API?
Yes. APIs.io lists 1 API from Stash, including Stash API.
Is the Stash API ready for AI agents?
Stash has a Kin Score of 15.9 out of 100 (emerging) and an Agent Readiness score of 3.1 (human-only), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.