# omniX labs

**Canonical:** https://apis.io/providers/omnix-labs/  
**Website:** https://omnixlabs.com/  
**APIs profiled:** 0

omniX labs is a New York-based AI machine-vision analytics company (owned by EverWash) serving car wash, oil-change/lube, and related quick-service automotive businesses. Its platform ingests real-time video of the physical business, applies computer vision and AI to synthesize customer interactions, and returns operational insights that help operators boost throughput, optimize staffing, prevent loss, predict demand, and grow revenue. omniX labs was surfaced as a Techstars portfolio company. It operates a customer web portal but publishes no public developer API, SDK, or technical documentation surface at this time.

## Kin Score — 11.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.9).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

## 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)

- **Omnix Labs Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Machine Vision, Computer-Vision, Artificial Intelligence, Video Analytics, Car Wash, Automotive Services, Business Intelligence

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