# Immunity Project

**Canonical:** https://apis.io/providers/immunity-project/  
**APIs profiled:** 0

Immunity Project was a San Francisco nonprofit and Y Combinator company (batch Winter 2014, one of YC's first non-profits alongside Watsi) that set out to develop a free HIV/AIDS vaccine. Its approach studied naturally immune "HIV controllers" and applied machine learning to reverse-engineer the immune response, aiming to deliver a crowdfunded, virus-free vaccine via nasal spray. Founders included Reid Rubsamen, Naveen Jain, and Ian Cinnamon. The organization surfaced in the API Evangelist network as a Y Combinator portfolio lead; enrichment found no developer portal, documentation, or API surface, and its former domain (immunityproject.org) has lapsed and now redirects to an unrelated third-party news outlet, indicating the project is effectively defunct.

## Kin Score — 2.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 2.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Health**: 0.0 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | 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 | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Tags

Company, Non-Profit, Health Tech, Biotech, HIV, Vaccine, Machine-Learning, Y Combinator

---

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