intuitek-ai

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.

intuitek-ai is profiled on the APIs.io network. Tagged areas include Company, AI, Research, Systems, and Missouri.

🌐 Visit website 📡 Profile data on GitHub

5.4/100 minimal Agent 1/100 human only Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

0 APIs

CompanyAIResearch SystemsMissouri

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 5.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.2 / 15

Agent readiness — 1/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 0.0 — up to +20.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/intuitek-ai/apis.yml: open an issue on github.com/api-evangelist/intuitek-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Pricing Plans 1

Published pricing tiers and plan structures.

Intuitek Ai Plans Pricing

0 plans

PLANS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Intuitek Ai Authentication

0 schemes

SECURITY

Intuitek Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Intuitek Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: intuitek-ai
name: intuitek-ai
description: 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.
url: https://artifacts.apis.io/intuitek-ai/apis.yml
image: https://intuitek.ai/og-image.jpg
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Research
- Systems
- Missouri
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/intuitek-ai-llms.txt
- type: AgentCard
  url: a2a/intuitek-ai-a2a.yml
- type: Hosts
  url: hosts/intuitek-ai-hosts.yml
- type: Vendors
  url: vendors/intuitek-ai-vendors.yml
- type: GitHubOrganization
  url: https://github.com/KyleMillion
- type: DomainSecurity
  url: security/intuitek-ai-domain-security.yml
- type: Website
  url: https://intuitek.ai/
apis: []
x-coverage:
  state: none
  reason: not-a-software-company
  detail: IntuiTek is a research organization that does not offer a software API.
  evidence:
  - url: https://intuitek.ai/
    status: 200
  checked: '2026-10-30'
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 23
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

intuitek-ai API — frequently asked questions

How do I authenticate with the intuitek-ai API?

intuitek-ai documents its authentication (0 schemes). The details are profiled on APIs.io as Intuitek Ai Authentication.

Is the intuitek-ai API ready for AI agents?

intuitek-ai has a Kin Score of 5.4 out of 100 (minimal) and an Agent Readiness score of 1.4 (human-only), scored by API Evangelist on 2026-10-31.

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