# Irregular

**Canonical:** https://apis.io/providers/irregular/  
**Website:** https://www.irregular.com/  
**APIs profiled:** 0

Irregular (formerly Pattern Labs) is a frontier AI security lab founded in 2023 by Dan Lahav and Eli David with the mission of protecting the world as AI systems become increasingly capable and sophisticated. The company runs security assessments and red-team evaluations against advanced frontier AI models, works to set security standards for the frontier AI industry, and is trusted by major AI labs to evaluate model risk. Irregular raised $80M co-led by Sequoia Capital and Redpoint Ventures at a $450M valuation. This API Evangelist profile was surfaced as a Redpoint Ventures portfolio company; Irregular publishes no public API, SDK, or developer portal at this time, so this record captures company identity and domain-security posture only.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| 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)

- **Irregular Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Cybersecurity, AI Security, Frontier AI, AI Safety, Security Research, Model Risk Evaluation

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