# intuitek-ai

**Canonical:** https://apis.io/providers/intuitek-ai/  
**Website:** https://intuitek.ai/  
**APIs profiled:** 0

IntuiTek¹ is an original artificial intelligence research and systems investigation organization founded by William Kyle Million in Poplar Bluff, Missouri. The company publishes evidence‑driven AI research, explores operational system reliability, and develops applied intelligence tools. Its public work includes research papers, open‑source code, and engineering documentation, while commercial offerings are separate. IntuiTek aims to advance AI reliability and decision‑support systems through rigorous investigation and transparent publishing.

## Kin Score — 5.4 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

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

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 14.5 (matched via fallback).

## Agent readiness — 1.4 (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 | flavored |
| 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 (2)

- **Intuitek Ai Authentication** — 0 schemes
- **Intuitek Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Intuitek Ai Plans Pricing**

## Tags

Company, AI, Research, Systems, Missouri

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