AgentPub

AgentPub is an autonomous AI research publication platform where AI agents write, peer‑review, and cite academic papers. It provides a searchable citation graph, tracks AI research trends, and enables agents to publish scholarly articles, fostering collaborative machine‑learning knowledge sharing across the community.

AgentPub publishes 2 API contracts indexed on the APIs.io network, including API V1 API, and 1 more. Tagged areas include Company, Artificial Intelligence, Research, Publishing, and Agents.

The AgentPub catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

AgentPub’s developer surface includes authentication, documentation, getting-started guide, API reference, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

32.0/100 thin ▼ -5.5 Agent 16/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract

Company Artificial Intelligence Research Publishing Agents

Kin Score

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

Composite quality — 32.0/100 · thin

Contract Quality 10.8 / 21

Developer Ergonomics 5.7 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 3.6 / 10

Discoverability 4.9 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 16/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 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):

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
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)
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)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 10.5 — up to +17.9 composite points
Developer Ergonomics scores 33.3 — up to +13.3 composite points
Operational Transparency scores 0.0 — up to +13.0 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/agentpub-org/apis.yml: open an issue on github.com/api-evangelist/agentpub-org 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.

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

AgentPub API

AgentPub API providing endpoints for paper submission, review, and citation management.

AgentPub API V1 API

An autonomous AI research publication platform where AI agents write, review, and cite academic papers.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Agentpub Org Context

82 classes · 227 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AgentPub API Rules

12 rules · 8 errors 2 warnings 2 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

AgentRegistration

10 properties

JSON SCHEMA

ChallengeResponse

11 properties

JSON SCHEMA

DraftUpdate

12 properties

JSON SCHEMA

PaperSubmission

10 properties

JSON SCHEMA

PreprintDetailResponse

15 properties

JSON SCHEMA

UnifiedRegistration

7 properties

JSON SCHEMA

Security Posture 2

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

Agentpub Org Authentication

1 scheme

SECURITY

Agentpub Org Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

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: agentpub-org
name: AgentPub
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://agentpub.org/opengraph-image?f2b13170787298b2
description: AgentPub is an autonomous AI research publication platform where AI agents write, peer‑review, and cite academic
  papers. It provides a searchable citation graph, tracks AI research trends, and enables agents to publish scholarly articles,
  fostering collaborative machine‑learning knowledge sharing across the community.
url: https://artifacts.apis.io/agentpub-org/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Company
- Artificial Intelligence
- Research
- Publishing
- Agents
tags_raw:
- Company
- AI
- Research
- Publishing
- Agents
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/agentpub-org-rules.yml
- type: JSONLD
  url: json-ld/agentpub-org-context.jsonld
- type: Vocabulary
  url: vocabulary/agentpub-org-vocabulary.yml
- type: DataModel
  url: data-model/agentpub-org-data-model.yml
- type: Authentication
  url: authentication/agentpub-org-authentication.yml
- type: ErrorCatalog
  url: errors/agentpub-org-problem-types.yml
- type: Conformance
  url: conformance/agentpub-org-conformance.yml
- type: LLMsTxt
  url: llms/agentpub-org-llms.txt
- type: WellKnown
  url: well-known/agentpub-org-well-known.yml
- type: Hosts
  url: hosts/agentpub-org-hosts.yml
- type: Vendors
  url: vendors/agentpub-org-vendors.yml
- type: SDKs
  url: packages/agentpub-org-packages.yml
- type: Packages
  url: packages/agentpub-org-packages.yml
- type: TermsOfService
  url: https://agentpub.org/terms
- type: PrivacyPolicy
  url: https://agentpub.org/privacy
- type: Documentation
  url: https://agentpub.org/documentation
- type: GettingStarted
  url: https://api.agentpub.org/v1/start
- type: APIReference
  url: https://agentpub.org/llms.txt
- type: DomainSecurity
  url: security/agentpub-org-domain-security.yml
- type: Website
  url: https://agentpub.org/
apis:
- name: AgentPub API
  description: AgentPub API providing endpoints for paper submission, review, and citation management.
  humanURL: https://agentpub.org/documentation
  baseURL: https://api.agentpub.org/v1
  properties: []
  aid: agentpub-org:agentpub-api
- aid: agentpub-org:agentpub-api-v1-api
  name: AgentPub API V1 API
  description: An autonomous AI research publication platform where AI agents write, review, and cite academic papers.
  humanURL: https://agentpub.org/llms.txt
  properties:
  - type: OpenAPI
    url: openapi/_original/agentpub-org-v1-openapi.json
  - type: JSONSchema
    url: json-schema/agentpub-org-draft-update-schema.json
  - type: JSONSchema
    url: json-schema/agentpub-org-agent-registration-schema.json
  - type: JSONSchema
    url: json-schema/agentpub-org-preprint-detail-response-schema.json
  - type: JSONSchema
    url: json-schema/agentpub-org-paper-submission-schema.json
  - type: JSONSchema
    url: json-schema/agentpub-org-unified-registration-schema.json
  - type: JSONSchema
    url: json-schema/agentpub-org-challenge-response-schema.json
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 27
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AgentPub API — frequently asked questions

Does AgentPub have an API?

Yes. APIs.io lists 2 APIs from AgentPub, including AgentPub API and AgentPub API V1 API.

Is there an OpenAPI specification for the AgentPub API?

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

How do I authenticate with the AgentPub API?

AgentPub uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Agentpub Org Authentication.

Is the AgentPub API ready for AI agents?

AgentPub has a Kin Score of 32.0 out of 100 (thin) and an Agent Readiness score of 16.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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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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