# Shotwellai

**Canonical:** https://apis.io/providers/shotwellai/  
**Website:** https://shotwell.ai  
**APIs profiled:** 0

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 (hello@shotwell.ai); no public API, developer portal, documentation, or SDKs were found.

## Kin Score — 6.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Robotics, Data Annotation, Training Data, Machine-Learning, Computer-Vision, Artificial Intelligence, Y Combinator

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/shotwellai/). Scores are computed from the provider's own public artifacts under a published rubric.