# Dia

**Canonical:** https://apis.io/providers/dia/  
**Website:** https://www.dia.com  
**APIs profiled:** 0

Dia & Co is a plus-size fashion and personal styling subscription service for women, operated by FullBeauty Brands. Customers complete an online style quiz, and stylists curate a monthly box of up to seven clothing items in sizes 10 to 32 from hundreds of brands to try on at home, with free shipping and free returns both ways. Dia & Co also runs an online shop and has been featured in Vogue, Forbes, and Glamour, and was an early portfolio company of Union Square Ventures. It operates as a consumer e-commerce brand and publishes no public developer API; this profile tracks its web and security surface within the API Evangelist network.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Access

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

## Security (1)

- **Dia Domain Security** — TLSv1.2 · DMARC

## Tags

Company, Fashion, Retail, E-Commerce, Personal Styling, Subscription, Apparel

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