Kev

Kev is an open-source (Apache-2.0) family of small decision models built on Qwen3.5/Qwen3.8 by Jared Palmer, released on GitHub and Hugging Face. Its self-hosted server exposes an HTTP API that, per the README, "matches TypeSafe's System One" (POST /v1/systemone with noul, choice and score questions). Not a Cognition product. No OpenAPI or JSON Schema file is published in the repository.

Kev is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Decision Models, Open Source, and Self-Hosted.

📡 Profile data on GitHub

4.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Company Artificial Intelligence Decision Models Open Source Self-Hosted

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 4.7/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.6 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 0/100 · 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 0 / 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

MCP Tool Quality 6 / 6

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

13 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
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 4.8 — up to +19.0 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/kev/apis.yml: open an issue on github.com/api-evangelist/kev 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Kev System One API (self-hosted)

Self-hosted HTTP server (python -m kev.serve, default 127.0.0.1:8009). Documented paths in the README: POST /v1/systemone, GET /v1/models, POST /v1/systemone/permute, POST /v1/s...

Resources

Get Started 1

Portal, sign-up, and the first successful call

Demo

Demo

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubRepository

GitHubRepository

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 1

The organization behind the API

Website

Website

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

Models

Datasets

Source (apis.yml)

aid: kev
name: Kev
description: Kev is an open-source (Apache-2.0) family of small decision models built on Qwen3.5/Qwen3.8 by Jared Palmer,
  released on GitHub and Hugging Face. Its self-hosted server exposes an HTTP API that, per the README, "matches TypeSafe's
  System One" (POST /v1/systemone with noul, choice and score questions). Not a Cognition product. No OpenAPI or JSON Schema
  file is published in the repository.
url: https://raw.githubusercontent.com/api-evangelist/kev/refs/heads/main/apis.yml
x-type: company
x-source: harvest:market-gap
x-tier: stub
x-tier-reason: harvest
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.20'
created: '2026-10-13'
modified: '2026-10-13'
tags:
- Company
- Artificial Intelligence
- Decision Models
- Open Source
- Self-Hosted
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Hosts
  url: hosts/kev-hosts.yml
- type: Vendors
  url: vendors/kev-vendors.yml
- type: Website
  url: https://github.com/jaredpalmer/kev
- type: GitHubRepository
  url: https://github.com/jaredpalmer/kev
- type: License
  url: https://github.com/jaredpalmer/kev/blob/main/LICENSE
- type: Demo
  url: https://huggingface.co/spaces/jaredpalmer/kev
- type: Models
  url: https://huggingface.co/collections/jaredpalmer/kev-6aad9d0ea49f2589665e07cd
- type: Datasets
  url: https://huggingface.co/datasets/jaredpalmer/kev-suites
apis:
- aid: kev:kev-systemone-api
  name: Kev System One API (self-hosted)
  description: 'Self-hosted HTTP server (python -m kev.serve, default 127.0.0.1:8009). Documented paths in the README: POST
    /v1/systemone, GET /v1/models, POST /v1/systemone/permute, POST /v1/systemone/separate. Optional bearer auth via KEV_API_KEY.
    No machine-readable contract is published.'
  humanURL: https://github.com/jaredpalmer/kev#api
  tags:
  - Decision Models
  properties:
  - type: Documentation
    url: https://github.com/jaredpalmer/kev#api
  - type: SourceCode
    url: https://github.com/jaredpalmer/kev/blob/main/kev/api.py
x-enrichment:
  date: '2026-10-13'
  status: enriched
  pass: pipeline-enrich-local
  engine: claude

Kev API — frequently asked questions

Does Kev have an API?

Yes. APIs.io lists 1 API from Kev, including Kev System One API (self-hosted).

Is the Kev API ready for AI agents?

Kev has a Kin Score of 4.7 out of 100 (minimal) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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