# Quixotic AI

**Canonical:** https://apis.io/providers/qxotic/  
**Website:** https://qxotic.ai/  
**APIs profiled:** 1

Quixotic AI builds modular AI components for the Java Virtual Machine, offering inference, tokenization, and tensor engines that run directly in Java applications. Their platform enables developers to integrate large language model capabilities, fast matrix multiplication, and customizable tokenizers into JVM-based services, emphasizing AI sovereignty and on‑premise deployment. The company provides open‑source libraries, benchmarks, and examples to help users deploy AI in a jar without external cloud dependencies.

## Kin Score — 10.7 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 28.6 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (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 |

## APIs (1)

- **Quixotic AI API** — AI inference platform for JVM, offering LLMs, vision, embeddings, and TTS via Java libraries.

## Security (1)

- **Qxotic Domain Security** — TLSv1.3

## Tags

Company, Artificial Intelligence, JVM, Open Source, Modular

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