# Apreciapharmaceuticals

**Canonical:** https://apis.io/providers/apreciapharmaceuticals/  
**Website:** https://aprecia.com  
**APIs profiled:** 0

Apreciapharmaceuticals, operating as Aprecia Pharmaceuticals, is a pioneering specialty CDMO focused on 3D‑printed drug manufacturing. Founded in 2003 and based in Langhorne, PA, the company offers end‑to‑end development, clinical‑trial supply, and commercial‑scale production using FDA‑registered cGMP facilities. It is the world’s first to secure regulatory approval for a 3D‑printed medication (SPRITAM®) and continues to innovate in precision formulation, rapid prototyping, and flexible manufacturing to accelerate patient‑centered drug development.

## Kin Score — 9.7 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0. Trend: flat (+0.0 from 9.7).

| Facet | Score |
|---|---|
| Discoverability | 51.8 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 13.7 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Apreciapharmaceuticals Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Pharmaceuticals, 3D Printing, CDMO, FDA

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