# Academia

**Canonical:** https://apis.io/providers/academia/  
**Website:** https://www.academia.edu/  
**APIs profiled:** 0

Academia (Academia.edu, Academia Inc.) is a San Francisco based platform for sharing and discovering academic research, founded in 2008 by Richard Price. Registered researchers upload papers, build public profiles, follow research interests and track readership analytics across a corpus of tens of millions of documents, and the company also runs the Academia journals program and sells Academia Premium subscriptions for advanced search, mentions, reader analytics and bulk PDF downloads. Academia publishes no public developer program, API reference or machine-readable specification; the /v0 JSON endpoints its own web client calls are explicitly disallowed to crawlers in robots.txt. It does publish an RFC 9116 security.txt with a named security contact and a disclosure posture, and a long per-crawler robots.txt that names AI and agent user-agents individually.

## Kin Score — 14.0 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 14.0).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 4.3 |
| Commercial Clarity | 21.1 |

## Agent readiness — 2.7 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| 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 | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Security (2)

- **Academia Domain Security** — TLSv1.3 · DMARC
- **Academia Vulnerability Disclosure** — Bugcrowd · security.txt · contact published

## Tags

Company, academic-research, research-papers, scholarly-publishing, higher-education, open-access, academic-social-network, preprints, research-discovery

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