# Rubric Labs

**Canonical:** https://apis.io/providers/rubric-ai/  
**Website:** https://rubriclabs.com  
**APIs profiled:** 0

Rubric Labs is an applied AI lab based in Canada that helps companies build and ship intelligent, agent-powered applications. Rather than selling a public API product, Rubric Labs operates as an engineering partner and maintains open-source tooling for AI-first development, including create-rubric-app (a full-stack AI project scaffold inspired by create-next-app), maige (open-source infrastructure for running natural-language workflows on your codebase), and tokenmaxx (a local proxy that aggregates LLM token usage across Codex and Claude Code accounts). The team partners with companies such as Cal.com and Trigger.dev, works with Neon, Vercel, and LangChain, and publishes engineering writing on its blog. As of this profile there is no self-service developer API, hosted API reference, SDK, or pricing surface to score — this is a services and open-source lab, not an API provider.

## Kin Score — 7.9 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.9).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## 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)

- **Rubric Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, AI Agents, Applied AI, Developer Tools, Open-Source, Consulting, LLM

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