# Fanatics Holdings

**Canonical:** https://apis.io/providers/fanatics-holdings/  
**Website:** https://www.fanatics.com/  
**APIs profiled:** 0

Fanatics Holdings, Inc. is a global digital sports platform that connects fans with the teams, leagues, players, and events they love. Founded in 2011 and led by Michael Rubin, the company operates across several business segments: Fanatics Commerce (licensed sports merchandise, e-commerce, and manufacturing), Fanatics Collectibles (trading cards and memorabilia, including Topps), and Fanatics Betting & Gaming (the Fanatics Sportsbook and online casino). It has no public developer API program or published API specification; it is tracked in the API Evangelist network as a company profile surfaced from a16z's venture portfolio.

## Kin Score — 1.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 1.5).

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

Regulatory layer — **Payments**: 9.4 (matched via tags).

## 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)

- **Fanatics Holdings Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Sports, E-Commerce, Retail, Collectibles, Trading Cards, Betting, Gaming, Sportsbook

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