Shotwellai
Shotwell AI is a Y Combinator-backed startup building an observability and annotation layer for robotics training data. Its pipeline ingests raw teleoperation video, robot logs, and multimodal sensor streams, then uses models to watch every frame, segment continuous motion into discrete actions, and label each action against a customer's task definition and SOP rubric. Every label is quality-scored and returned in hours rather than weeks, producing dense, frame-accurate, training-ready datasets for robot manipulation, deformable/folding tasks, teleoperation episode QA, and vision-language-action (VLA) foundation-model post-training. As of enrichment the company exposes only a marketing website and a sales contact ([email protected]); no public API, developer portal, documentation, or SDKs were found.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
Shotwellai is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.
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 — Shotwellai scores 8.3/100 (minimal), with a separate agent-readiness read of 0/100 (human only). 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 2026-07-27 · rubric v0.5
Resources
Every other property we hold for Shotwellai — 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.
Build 1
SDKs, sample code, and the tooling you integrate with
Operate 1
Status, limits, changes, and where to get help
Company 1
The organization behind the API
Shotwellai is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.
← All providers · Data indexed from github.com/api-evangelist/shotwellai · machine-readable index on apis.io