AgentTune

AgentTune provides a free, open-source library of AI instruction tuning files and personality test tools that run entirely in the browser. Users can customize prompts for Claude, ChatGPT, Muse, and other agents, without needing an account. The site offers guides, research, and tools for building AI communication preferences, all under an MIT license.

AgentTune is listed with 2 APIs on the APIs.io network. Tagged areas include Company.

The AgentTune catalog on APIs.io includes 1 Spectral governance ruleset.

AgentTune’s developer surface includes documentation and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.1/100 emerging ▬ flat Agent 16/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

2 APIs 1 MCP Servers

Company

Kin Score

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

Composite quality — 13.1/100 · emerging

Contract Quality 2.2 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.2 / 15

Agent readiness — 16/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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):

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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 10.4 — up to +22.4 composite points
Developer Ergonomics scores 4.8 — up to +19.0 composite points
Access Clarity scores 10.5 — up to +17.9 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/agent-tune-com/apis.yml: open an issue on github.com/api-evangelist/agent-tune-com 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 2

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

AgentTune API

AgentTune provides a free, open-source library of AI instruction tuning files and personality test tools. Documentation is at https://agent-tune.com/guides/. No public machine-r...

AgentTune API

AgentTune API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist (2026-10-31); not the provider's own document.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

AgentTune MCP Server

Remote MCP server at agent-tune.com.

MCP SERVER

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AgentTune API Rules

9 rules · 7 errors 1 warnings 1 info

SPECTRAL

Security Posture 1

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

Agent Tune Com Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Vocabulary

Vocabulary

Conformance

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: agent-tune-com
name: AgentTune
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://agent-tune.com/og/og-card.png
description: AgentTune provides a free, open-source library of AI instruction tuning files and personality test tools that
  run entirely in the browser. Users can customize prompts for Claude, ChatGPT, Muse, and other agents, without needing an
  account. The site offers guides, research, and tools for building AI communication preferences, all under an MIT license.
url: https://artifacts.apis.io/agent-tune-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-31 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-31'
modified: '2026-10-31'
tags:
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/agent-tune-com-rules.yml
- type: Vocabulary
  url: vocabulary/agent-tune-com-vocabulary.yml
- type: Conformance
  url: conformance/agent-tune-com-conformance.yml
- type: LLMsTxt
  url: llms/agent-tune-com-llms.txt
- type: MCPServer
  url: mcp/agent-tune-com-mcp.yml
- type: Hosts
  url: hosts/agent-tune-com-hosts.yml
- type: Vendors
  url: vendors/agent-tune-com-vendors.yml
- type: DomainSecurity
  url: security/agent-tune-com-domain-security.yml
- type: Website
  url: https://agent-tune.com/
- type: Documentation
  url: https://agent-tune.com/guides/
- type: TermsOfService
  url: https://agent-tune.com/terms
- type: PrivacyPolicy
  url: https://agent-tune.com/privacy
apis:
- name: AgentTune API
  description: AgentTune provides a free, open-source library of AI instruction tuning files and personality test tools. Documentation
    is at https://agent-tune.com/guides/. No public machine-readable contract found.
  humanURL: https://agent-tune.com/guides/
  baseURL: null
  aid: agent-tune-com:agenttune-api
- aid: agent-tune-com:agent-tune-com-api
  name: AgentTune API
  description: 'AgentTune API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist
    (2026-10-31);

    not the provider''s own document.'
  humanURL: https://agent-tune.com/guides/claude-code-personality
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/agent-tune-com-openapi-generated.yml
    x-provenance: generated
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Documentation pages are HTML only and no OpenAPI/AsyncAPI/GraphQL spec is published.
  evidence:
  - url: https://agent-tune.com/guides/
    status: 200
  checked: '2026-10-31'
x-enrichment:
  date: '2026-10-31'
  status: enriched
  artifacts_added: 15
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AgentTune API — frequently asked questions

Does AgentTune have an API?

Yes. APIs.io lists 2 APIs from AgentTune, including AgentTune API and AgentTune API.

Is there an OpenAPI specification for the AgentTune API?

Yes. APIs.io indexes 1 OpenAPI specification for AgentTune, each linked for download from this page.

Does AgentTune have an MCP server?

Yes. APIs.io lists 1 MCP server for AgentTune: Remote MCP server at agent-tune.com.

Is the AgentTune API ready for AI agents?

AgentTune has a Kin Score of 13.1 out of 100 (emerging) and an Agent Readiness score of 16.4 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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