# Golden Child

**Canonical:** https://apis.io/providers/golden-child/  
**Website:** https://mygoldenchild.com/  
**APIs profiled:** 0

Golden Child is a direct-to-consumer pet wellness brand offering fresh, human-grade, vet-formulated dog food delivered on a subscription basis. Founded in 2025 by former Hims & Hers leaders Quentin Lacornerie and Jack Abraham, the company pairs science-backed "main" meals with taste-driven "drizzle" toppers, guided by a two-minute intake quiz that builds a personalized meal plan for each dog. It operates a Shopify Hydrogen storefront at mygoldenchild.com and has raised $37M from Redpoint Ventures, Atomic, and A*. Golden Child publishes no public developer API, documentation, or SDKs; this profile tracks it as a company in the API Evangelist network, surfaced from the Redpoint Ventures portfolio.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (+0.1 from 10.1).

| 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 | 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 |

## Access

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

## Security (1)

- **Golden Child Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Pets, Dog Food, Pet Nutrition, Direct-to-Consumer, E-Commerce, Subscription, Consumer Brand

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