# Enveda

**Canonical:** https://apis.io/providers/enveda-biosciences/  
**Website:** https://enveda.com/  
**APIs profiled:** 14

Enveda (Enveda Biosciences) is a Boulder, Colorado based clinical-stage biotechnology company founded in 2019 that discovers medicines by decoding the chemistry of the natural world. It combines high-throughput mass spectrometry, metabolomics, robotics and machine learning — including PRISM, a foundation model trained on more than a billion small- molecule mass spectra — to build a searchable library of plant-derived molecules and translate them into drug candidates. Enveda has raised over $360M across Series B, C and D rounds from Premji Invest, Kinnevik, Lux Capital, Dimension and Sanofi, reached unicorn status in 2026, and runs FDA-cleared clinical programs including ENV-294 (atopic dermatitis and asthma), ENV-308 (obesity) and ENV-6946 (inflammatory bowel disease). Enveda publishes no product or developer API; the machine-readable surface on enveda.com is a published llms.txt plus the WordPress REST API (wp/v2) that serves the company newsroom, In-Veda blog, leadership profiles, clinical-trial site directory and media library as JSON, alongside a WordPress MCP Adapter endpoint that is present but authentication-gated. Its open science is published as research code and data in the github.com/enveda organization.

## Kin Score — 23.3 / 100 (emerging)

Scored 2026-08-12 under rubric 0.11.0. Trend: flat (+0.0 from 23.3).

| Facet | Score |
|---|---|
| Discoverability | 81.5 |
| Contract Quality | 14.5 |
| Governance | 11.5 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 19.0 |
| Commercial Clarity | 21.1 |

Regulatory layer — **Health**: 31.3 (matched via tags).

## Agent readiness — 28.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | derived |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## APIs (14)

- **Enveda MCP Server (WordPress MCP Adapter)** — A Model Context Protocol server endpoint advertised in the enveda.com WordPress REST route index under the "mcp" namespace and served at /wp-json/mcp/mcp-adapter-default-server....
- **Enveda Comments API** — The Comments API from Enveda — 2 operation(s) for comments.
- **Enveda Discovery API** — The Discovery API from Enveda — 6 operation(s) for discovery.
- **Enveda Issues API** — The Issues API from Enveda — 2 operation(s) for issues.
- **Enveda Media API** — The Media API from Enveda — 3 operation(s) for media.
- **Enveda News API** — The News API from Enveda — 4 operation(s) for news.
- **Enveda Pages API** — The Pages API from Enveda — 2 operation(s) for pages.
- **Enveda People API** — The People API from Enveda — 4 operation(s) for people.
- **Enveda Posts API** — The Posts API from Enveda — 2 operation(s) for posts.
- **Enveda Search API** — The Search API from Enveda — 1 operation(s) for search.
- **Enveda Settings API** — The Settings API from Enveda — 1 operation(s) for settings.
- **Enveda Taxonomy API** — The Taxonomy API from Enveda — 4 operation(s) for taxonomy.
- **Enveda Trial Sites API** — The Trial Sites API from Enveda — 4 operation(s) for trial sites.
- **Enveda Users API** — The Users API from Enveda — 3 operation(s) for users.

## MCP servers (1)

- **enveda-biosciences-mcp.yml**

## Agentic access (1)

- **Enveda Biosciences Agentic Access** — 115 operations · 78 acting

## Security (2)

- **Enveda Biosciences Authentication** — http · 1 scheme
- **Enveda Biosciences Domain Security** — TLSv1.3 · DNSSEC · DMARC

## Tags

Company, Biotechnology, Drug Discovery, Life Sciences, Artificial Intelligence, Machine Learning, Metabolomics, Natural Products, Pharmaceuticals, Clinical Trials, Research, Content

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