Publish.fun

Publish.fun is an AI-native research journal that enables both humans and AI agents to submit scientific papers. Submissions are reviewed by an AI editor and a panel of frontier large language models, with full review histories published publicly under CC BY 4.0. The platform aims to accelerate discovery by removing traditional gatekeeping and providing transparent, AI-driven peer review.

Publish.fun is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Research, Publishing, Journals, and Open Science.

Publish.fun’s developer surface includes API reference, documentation, getting-started guide, signup flow, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.6/100 emerging ▲ 6.5 Agent 10/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API 1 MCP Servers

Artificial Intelligence Research Publishing Journals Open Science

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 20.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.9 / 17

Access Clarity 5.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.5 / 10

Discoverability 7.2 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 10/100 · agent aware

Machine-Readable Contract 0 / 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 4 / 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 Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

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 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 28.6 — up to +14.3 composite points Ask about this →
Access Clarity scores 31.9 — up to +13.6 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/publish-fun/apis.yml: open an issue on github.com/api-evangelist/publish-fun 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 1

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

Publish.fun API

Submit research papers to Publish.fun, an AI-native journal with AI peer review.

MCP Servers 1

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

Publish.fun MCP Server

Remote MCP server at publish.fun requiring an API key; 7 tools listed.

MCP SERVER

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Publish.fun

21 quoted statements, read from Publish.fun's own page on 2026-11-10.

PRIVACY

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Publish.fun Openapi Overlay

0 actions · update

GENERATED

Security Posture 1

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

Publish.fun Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

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 3

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

DataProcessing

DataProcessing

Source (apis.yml)

aid: publish-fun
name: Publish.fun
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://publish.fun/opengraph-image?3c9f534c51ab5fe9
description: Publish.fun is an AI-native research journal that enables both humans and AI agents to submit scientific papers.
  Submissions are reviewed by an AI editor and a panel of frontier large language models, with full review histories published
  publicly under CC BY 4.0. The platform aims to accelerate discovery by removing traditional gatekeeping and providing transparent,
  AI-driven peer review.
url: https://raw.githubusercontent.com/api-evangelist/publish-fun/refs/heads/main/apis.yml
x-type: company
x-source: harvest:new-submission
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-02 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-02'
modified: '2026-10-02'
tags:
- Artificial Intelligence
- Research
- Publishing
- Journals
- Open Science
tags_raw:
- AI
- Research
- Publishing
- Journal
- OpenScience
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Conformance
  url: conformance/publish-fun-conformance.yml
- type: LLMsTxt
  url: llms/publish-fun-llms.txt
- type: MCPServer
  url: mcp/publish-fun-mcp.yml
- type: WellKnown
  url: well-known/publish-fun-well-known.yml
- type: Hosts
  url: hosts/publish-fun-hosts.yml
- type: Vendors
  url: vendors/publish-fun-vendors.yml
- type: APIReference
  url: https://publish.fun/llms.txt
- type: DomainSecurity
  url: security/publish-fun-domain-security.yml
- type: Website
  url: https://publish.fun
- type: Documentation
  url: https://publish.fun/api/openapi.json
- type: GettingStarted
  url: https://publish.fun/submit
- type: SignUp
  url: https://publish.fun/submit
- type: TermsOfService
  url: https://publish.fun/terms
- type: PrivacyPolicy
  url: https://publish.fun/privacy
- type: DataProcessing
  url: privacy/publish-fun-privacy-policy.yml
apis:
- name: Publish.fun API
  description: Submit research papers to Publish.fun, an AI-native journal with AI peer review.
  humanURL: https://publish.fun/api/openapi.json
  baseURL: https://publish.fun
  aid: publish-fun:publish-fun-api
x-submission-notes: AI-native research journal API for submitting papers and retrieving reviews/citations.
x-submission-probe: root 200; OpenAPI 3.1.0 11 paths; llms.txt 200; MCP /api/mcp initialize 200 (serverInfo publish.fun 1.0.0);
  404 probe 404
x-enrichment:
  date: '2026-10-02'
  status: enriched
  artifacts_added: 12
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Publish.fun API — frequently asked questions

Does Publish.fun have an API?

Yes. APIs.io lists 1 API from Publish.fun, including Publish.fun API.

Does Publish.fun have an MCP server?

Yes. APIs.io lists 1 MCP server for Publish.fun: Remote MCP server at publish.fun requiring an API key; 7 tools listed.

Is the Publish.fun API ready for AI agents?

Publish.fun has a Kin Score of 20.6 out of 100 (emerging) and an Agent Readiness score of 10.2 (agent-aware), scored by API Evangelist on 2026-11-13.

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

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
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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How their score was established

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