# Good Job Games

**Canonical:** https://apis.io/providers/good-job-games/  
**Website:** https://goodjobgames.com  
**APIs profiled:** 0

Good Job Games is a global mobile gaming company founded in 2017 that designs, develops, and operates puzzle and match-3 titles for iOS and Android, including Wonder Blast and Match Villains. The studio publishes its games through the Apple App Store and Google Play rather than a developer API program, and its public web surface is limited to its marketing site, games catalog, careers ("Life at Good Job Games") pages, and legal policies. It was surfaced as a portfolio company of Menlo Ventures and profiled in the API Evangelist network. No public developer API, SDK, documentation, or API reference was found during enrichment; the artifacts captured here reflect its domain security posture and public web properties.

## Kin Score — 9.2 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 9.2).

| 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 | 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)

- **Good Job Games Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Mobile Games, Gaming, Mobile, Puzzle Games, Entertainment, Consumer

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