IPNEX

IPNEX provides AI‑driven licensable US university patent intelligence. It surfaces cited patent data, confidence scores and licensing availability, helping founders and investors assess university IP before costly legal work. The platform offers searchable catalogs, pricing plans, and a live MCP interface for AI agents.

IPNEX is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Patents, Licensing, and University.

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

IPNEX’s developer surface includes pricing and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.0/100 emerging Agent 18/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

2 APIs

Company Artificial Intelligence Patents Licensing University

Kin Score

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

Composite quality — 22.0/100 · emerging

Contract Quality 4.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 8.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 4.6 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 18/100 · 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 Education & Research 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 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 →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) 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 18.9 — up to +20.3 composite points Ask about this →
Developer Ergonomics scores 0.0 — up to +20.0 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 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/ipnex-ai/apis.yml: open an issue on github.com/api-evangelist/ipnex-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 →

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.

IPNEX API

Cited, confidence‑stamped patent intelligence over US university TTO out‑licensing.

IPNEX API

IPNEX API as documented publicly: 7 operations. Contract generated from the documentation by API Evangelist (2026-11-12); not the provider's own document.

IPNEX API pricing

Prices published by IPNEX, read 2026-11-12 from ipnex.ai/pricing.

Plan	Price
Single report	$950
3-month access	$1,200
6-month access	$1,950
12-month access	$3,450

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

IPNEX Plans Pricing

4 plans

PLANS

Semantic Vocabularies 1

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

Ipnex Ai Context

2 classes · 5 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

IPNEX API Rules

35 rules · 33 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 2

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

PostAskRequest

1 properties

JSON SCHEMA

PostMcpRequest

4 properties

JSON SCHEMA

Security Posture 1

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

IPNEX Domain Security

TLSv1.3

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

PrivacyPolicy

TermsOfService

Pricing

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: ipnex-ai
name: IPNEX
description: IPNEX provides AI‑driven licensable US university patent intelligence. It surfaces cited patent data, confidence
  scores and licensing availability, helping founders and investors assess university IP before costly legal work. The platform
  offers searchable catalogs, pricing plans, and a live MCP interface for AI agents.
url: https://artifacts.apis.io/ipnex-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-12 (modular-v1; was harvest)
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-12'
modified: '2026-11-12'
tags:
- Company
- Artificial Intelligence
- Patents
- Licensing
- University
tags_raw:
- Company
- AI
- Patents
- Licensing
- University
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/ipnex-ai-plans-pricing.yml
- type: Spectral
  url: rules/ipnex-ai-rules.yml
- type: JSONLD
  url: json-ld/ipnex-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/ipnex-ai-vocabulary.yml
- type: DataModel
  url: data-model/ipnex-ai-data-model.yml
- type: Conformance
  url: conformance/ipnex-ai-conformance.yml
- type: LLMsTxt
  url: llms/ipnex-ai-llms.txt
- type: Hosts
  url: hosts/ipnex-ai-hosts.yml
- type: Vendors
  url: vendors/ipnex-ai-vendors.yml
- type: DomainSecurity
  url: security/ipnex-ai-domain-security.yml
- type: Website
  url: https://ipnex.ai/
- type: PrivacyPolicy
  url: https://ipnex.ai/privacy
- type: TermsOfService
  url: https://ipnex.ai/terms
- type: Pricing
  url: https://ipnex.ai/pricing
apis:
- name: IPNEX API
  description: Cited, confidence‑stamped patent intelligence over US university TTO out‑licensing.
  humanURL: https://api.ipnex.ai/api
  baseURL: null
  aid: ipnex-ai:ipnex-api
- aid: ipnex-ai:ipnex-ai-api
  name: IPNEX API
  description: 'IPNEX API as documented publicly: 7 operations. Contract generated from the documentation by API Evangelist
    (2026-11-12); not the provider''s own document.'
  humanURL: https://api.ipnex.ai/api
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/ipnex-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/ipnex-ai-post-mcp-request-schema.json
  - type: JSONSchema
    url: json-schema/ipnex-ai-post-ask-request-schema.json
x-enrichment:
  date: '2026-11-12'
  status: enriched
  artifacts_added: 20
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

IPNEX API — frequently asked questions

Does IPNEX have an API?

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

Is there an OpenAPI specification for the IPNEX API?

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

How much does the IPNEX API cost?

IPNEX publishes its prices; its Single report plan is $950 as of 2026-11-12. APIs.io lists 4 pricing plans for IPNEX, with each plan's price, limits and inclusions under Pricing on this page.

Is the IPNEX API ready for AI agents?

IPNEX has a Kin Score of 22.0 out of 100 (emerging) and an Agent Readiness score of 17.8 (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.

All 92 tools →

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