# Affine.Earth

**Canonical:** https://apis.io/providers/affine-earth/  
**Website:** https://affine.earth/  
**APIs profiled:** 0

Affine.Earth is an experimental platform that showcases quantum‑computing‑inspired simulations, interactive IDEs, and a collection of scientific “studies” that model zero‑float integer courts across domains such as quantum mechanics, biology, and orbital mechanics. It provides a browser‑based IDE, downloadable Mac application, and a suite of visualizations and calculators, aiming to deliver high‑precision, low‑energy computation demonstrations.

## Kin Score — 3.5 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-0.1 from 3.6).

| Facet | Score |
|---|---|
| Discoverability | 49.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.9 (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)

- **Affine Earth Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Quantum Computing, Interactive IDE, Scientific Simulations, Open Source

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