# IPNEX

**Canonical:** https://apis.io/providers/ipnex-ai/  
**Website:** https://ipnex.ai/  
**APIs profiled:** 2

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.

## Kin Score — 22.0 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 18.9 |
| Contract Governance | 22.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 51.1 |

Regulatory layer — **Education & Research**: 11.8 (matched via tags).

## Agent readiness — 17.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | distinct |
| MCP Tool Quality | na |

## Access

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: low).

## APIs (2)

- **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.

## Security (1)

- **IPNEX Domain Security** — TLSv1.3

## Plans (1)

- **IPNEX Plans Pricing**

## Tags

Company, Artificial Intelligence, Patents, Licensing, University

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/ipnex-ai/). Scores are computed from the provider's own public artifacts under a published rubric.