# Calxeda

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

Calxeda was an Austin, Texas semiconductor startup — founded in 2008 as Smooth-Stone by Barry Evans, Larry Wikelius and David Borland — that built ARM-based EnergyCore system-on-chip server processors (ECX-1000, ECX-2000/Midway) aimed at low-power, high-density data center workloads. It raised roughly $90-103M from venture investors including Battery Ventures, and its silicon shipped in Boston Limited Viridis appliances and HP Project Moonshot systems. Calxeda ceased operations in December 2013 after a refinancing round fell through, and its ARM server IP resurfaced under Silver Lining Systems in December 2014. The company published no public API, developer portal, or machine-readable API artifacts, and calxeda.com is now a parked domain listed for sale, so there is no live API surface for the API Evangelist network to catalog.

## Kin Score — 6.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.4).

| 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 | 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, Semiconductors, Hardware, Servers, ARM, Data-Center, Defunct, System on a Chip, Infrastructure

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