# CloudPhysics

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

CloudPhysics is a SaaS-based big-data analytics platform for virtualized IT infrastructure, founded in 2011 and acquired by Hewlett Packard Enterprise in 2021. Deployed as the CloudPhysics Observer virtual appliance against VMware vSphere / vCenter, it collects IT metadata and delivers data-driven insights for capacity planning, cost optimization, migration assessment, and infrastructure health. It is now part of HPE; cloudphysics.com redirects to HPE storage. CloudPhysics exposes no public developer API of its own — the product consumes the VMware vCenter API to gather metadata rather than publishing a developer-facing API, so this profile carries identity and domain-security signal only.

## 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).

## Security (1)

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

## Tags

Company, Enterprise, Analytics, Virtualization, VMware, Cloud Migration, Infrastructure, Software-as-a-Service

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