# Plush

**Canonical:** https://apis.io/providers/plush/  
**Website:** https://www.plush.shop  
**APIs profiled:** 0

Plush is an AI-powered fashion discovery and shopping platform at plush.shop that lets shoppers describe what they want in natural language and returns curated results from trusted and emerging brands. Rather than rigid keyword search, Plush matches on mood, aesthetic, and intent, layering image search, smart real-time filters, influencer edit collections, and wishlists on top of its proprietary AI curation. Founded by Chang Liu (CEO) and Ying Zhu (CTO) — who met through Y Combinator's co-founder matching — Plush is backed by the Anthemis Female Innovators Lab Fund and the Oxford Seed Fund. It is a consumer-facing web application; no public developer API is published at this time.

## Kin Score — 11.5 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

## 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)

- **Plush Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Fashion, Retail, E-Commerce, Artificial Intelligence, Search, Shopping, Consumer

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