# Atomic Machines

**Canonical:** https://apis.io/providers/atomic-machines/  
**Website:** https://www.atomicmachines.com/  
**APIs profiled:** 0

Atomic Machines is a manufacturing technology company developing automation systems that enable flexible, precision assembly for small‑batch and custom products. Its platform combines robotics, vision systems, and software to streamline production workflows, improve scalability, and reduce time‑to‑market. Founded in 2019 by Jeff Holden and Prashant Patil, Atomic Machines is headquartered in Berkeley, California, and focuses on industrial robotics and advanced manufacturing solutions.

## Kin Score — 11.8 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0. Trend: flat (+0.0 from 11.8).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 11.9 |
| Access Clarity | 23.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Atomic Machines Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Manufacturing, Robotics, Automation, Silicon, MEMS

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