# Regression Games

**Canonical:** https://apis.io/providers/regression-games/  
**Website:** https://regression.gg  
**APIs profiled:** 0

Regression Games builds AI agents and bots for video games. Its platform lets studios create bots for QA testing, multiplayer simulation, game balancing, and NPC behavior with minimal code. The Unity SDK (gg.regression.unity.bots / RGUnityBots) adds AI-driven automated playtesting, UI and screenshot regression testing, replay and validation, and CI/CD integration for Unity projects, while the earlier rg-bot JavaScript/TypeScript/Python libraries let developers program bots for Minecraft and Capture-the-Flag tournaments. Distribution is via open-source SDKs and templates on GitHub rather than a hosted public REST API. Backed by a16z and NEA ($4.2M seed, 2022).

## Kin Score — 15.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.6).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 14.3 |
| 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)

- **Regression Games Domain Security** — TLSv1.3

## Tags

Company, Artificial Intelligence, Gaming, Game Development, Testing, Quality Assurance, Unity, Bots, Agents, SDK

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