# First Day Entertainment

**Canonical:** https://apis.io/providers/first-day-entertainment/  
**Website:** https://www.firstdayentertainment.net/  
**APIs profiled:** 0

First Day Entertainment Inc. is a Sunnyvale, California game studio building AI-powered games, founded by Stephen Gou (formerly a founding engineer at Cohere) and Mike Mei, and funded by the a16z SPEEDRUN accelerator (batch 002) and MiraclePlus. The studio ships two titles - Heroes of Magic & Cards, a poker deckbuilding roguelike distributed on Steam, and Mana Land, a single-player RPG in which players adventure alongside conversational AI companions, published on itch.io. First Day Entertainment is a consumer games company; it publishes no public developer portal, API documentation, or machine-readable API artifacts as of this enrichment pass.

## Kin Score — 6.1 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 6.1).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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)

- **First Day Entertainment Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Games, Gaming, Artificial Intelligence, Entertainment, Consumer, Startup

---

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