# Kenexis

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

Kenexis, founded in 2004, is a leading technical safety consultancy and software provider specializing in process safety. It offers expert services such as Process Hazard Analysis, Safety Instrumented Systems, Quantitative Risk Analysis, and fire & gas mapping, alongside a suite of cloud‑based software tools (Open‑PHA, SIS lifecycle, Fault Tree, Bowtie, MOC, Open‑Audit, Consequence Modeling, and more). Kenexis also delivers training, webinars, and resources to help organizations manage chemical and stored‑energy risks effectively.

## Kin Score — 9.6 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 46.4 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 4.8 |
| Developer Ergonomics | 21.4 |
| Access Clarity | 8.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 3.9 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Kenexis Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Safety, Engineering, Software, Training

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