# Donut Media

**Canonical:** https://apis.io/providers/donut-media/  
**Website:** https://donut.media/  
**APIs profiled:** 0

Donut Media is an American automotive entertainment brand and one of the largest automotive channels on YouTube, founded in 2015 by Matt Levin, Ben Conrad, and Nick Moceri. It is best known for original series such as Up to Speed, Money Pit, and HiLow, along with the Past Gas podcast, reaching millions of car enthusiasts through video, social, and audio. Donut monetizes through advertising, brand sponsorships, content licensing, and an extensive Shopify-powered online store selling apparel, hats, and collectibles. The company was acquired by Recurrent Ventures in November 2021. This profile documents Donut Media's public web and commerce surface; the company does not publish a developer API program.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. 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 |

## Access

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

## Security (1)

- **Donut Media Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Media, Automotive, Entertainment, Video, YouTube, E-Commerce, Merchandise, Podcast

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