# Cmd *

**Canonical:** https://apis.io/providers/cmd/  
**APIs profiled:** 0

Cmd was a Vancouver, Canada-based cybersecurity startup founded in 2016 that built runtime security and observability purpose-built for Linux infrastructure, giving security and DevOps teams real-time visibility and policy-based control over user activity across cloud workloads. Backed by GV (Google Ventures), which led its $15M Series B in 2019, Cmd raised roughly $21.6M total before being acquired by Elastic in August 2021, where its technology was folded into the Elastic Security cloud workload protection and Limitless XDR offering. Co-founders Jake King (CSO) and Santosh Krishan joined Elastic through the acquisition. Cmd no longer operates as an independent company and publishes no live API, developer portal, or public API surface; this profile is retained as an acquired-company record in the API Evangelist network.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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).

## Tags

Company, Enterprise, Security, Cybersecurity, Linux, Cloud Security, Runtime Security, DevOps, Observability, Acquired

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