# Sunday Robotics

**Canonical:** https://apis.io/providers/sunday-robotics/  
**Website:** https://www.sunday.ai/  
**APIs profiled:** 0

Sunday Robotics is a consumer robotics company building Memo, an autonomous home robot that handles household chores such as clearing dishes, loading the dishwasher, pulling espresso shots, and folding laundry. The robot is trained on human demonstrations captured with the company's proprietary Skill Capture Glove and runs on the ACT family of robot foundation models. Founded as a physical-AI company and backed by Bain Capital Ventures, Sunday is pre-launch with a beta program opening in late 2026. As of this profile the company publishes no public API, developer portal, SDK, or technical documentation; this record captures its public web and security surface only.

## Kin Score — 12.3 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

## 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).

## Security (1)

- **Sunday Robotics Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Physical AI, Robotics, Home Automation, Consumer Hardware, Artificial Intelligence, Foundation Models

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