# Alphina Therapeutics

**Canonical:** https://apis.io/providers/alphina-therapeutics/  
**Website:** https://www.alphinatx.com/  
**APIs profiled:** 0

Alphina Therapeutics is a New Haven, Connecticut precision-oncology biotechnology company founded by experts in DNA repair and metabolic lethality. It develops next-generation antibody-drug conjugates (ADCs) that deliver potent NAMPT inhibitor payloads directly to tumors, designed to kill both dividing and non-dividing cancer cells, and pairs them with a proprietary companion diagnostic that identifies the patients most likely to respond. The company is venture-backed by Canaan Partners. It was surfaced as a portfolio company and added to the API Evangelist network as a stub; it publishes no public developer program, API, SDK, or documentation, so no API artifacts apply at this time.

## Kin Score — 2.7 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 2.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| 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, Biotechnology, Oncology, Therapeutics, Antibody-Drug Conjugates, Precision Medicine, Life Sciences

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