# Evelo Biosciences *

**Canonical:** https://apis.io/providers/evelo-biosciences/  
**Website:** http://evelobio.com  
**APIs profiled:** 0

Evelo Biosciences was a Flagship Pioneering-founded, GV-backed microbiome biotechnology company in Cambridge, Massachusetts, developing orally delivered investigational medicines acting on the small intestinal axis. Following clinical failures of its lead candidates EDP1815 and EDP2939, the company announced dissolution in November 2023 and has been wound down. It is retained in the API Evangelist network as a dissolved life-sciences portfolio record: the evelobio.com domain now serves only a parked catch-all error page and the company publishes no developer portal, documentation, or API surface of any kind.

## Kin Score — 3.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.3).

| 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**: 7.5 (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).

## Security (1)

- **Evelo Biosciences Domain Security** — no transport/DNS hardening detected

## Tags

Company, Life Sciences, Biotechnology, Microbiome, Pharmaceuticals, Dissolved, Venture Backed

---

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