# EvolutionaryScale

**Canonical:** https://apis.io/providers/evolutionaryscale/  
**APIs profiled:** 7

EvolutionaryScale is a New York-based biology foundation model lab spun out of Meta AI's ESM team that develops AI to deepen scientific understanding of biology. Its flagship ESM3 model is a multimodal generative protein language model that reasons jointly across sequence, structure, and function, scaling to 98B parameters trained on 771B tokens from 2.78B natural proteins. The companion ESM Cambrian (ESM C) family provides protein representation learning at 300M–6B parameters as a performant ESM2 replacement. Models are accessible via the hosted Forge inference API (forge.evolutionaryscale.ai), an open-source Python SDK (`pip install esm`), open weights on Hugging Face, and AWS Marketplace (SageMaker, NVIDIA BioNeMo and NIM). EvolutionaryScale was integrated into the Biohub organization in 2025; the ESM SDK now lives at github.com/Biohub/esm.

## Kin Score — 42.4 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 42.4).

| Facet | Score |
|---|---|
| Discoverability | 64.8 |
| Contract Quality | 71.6 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 47.4 |
| Developer Ergonomics | 11.9 |
| Commercial Clarity | 39.5 |
| Access Clarity | 39.5 |

Regulatory layer — **Health**: 21.3 (matched via tags).

## Agent readiness — 32.1 (agent-aware)

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

## Access

Free · Self-serve signup — onboarding: self-serve, pricing: free, trial: no (confidence: high).

## APIs (7)

- **EvolutionaryScale ESM Python SDK** — Official Python SDK packaging ESM3 and ESM Cambrian model loaders, the `ESMProtein` multi-track data model, generation/sampling configurations, structure tokenization utilities,...
- **EvolutionaryScale Embeddings API** — Sequence-only tokenization and representation extraction.
- **EvolutionaryScale Encoding API** — Tokenize ESMProtein objects into ESMProteinTensor inputs (and back).
- **EvolutionaryScale Generation API** — Generate proteins across sequence, structure, and function tracks.
- **EvolutionaryScale MSA API** — Fetch multiple sequence alignments used by structure predictors.
- **EvolutionaryScale Sampling API** — Low-level forward passes with logits and sampling control.
- **EvolutionaryScale Structure API** — Predict protein backbone coordinates from sequence and back.

## Agentic access (1)

- **Evolutionaryscale Agentic Access** — 11 operations · 11 acting

## Security (2)

- **Evolutionaryscale Authentication** — http · 1 scheme
- **Evolutionaryscale Domain Security** — TLSv1.2 · HSTS · DMARC

## Plans (1)

- **Evolutionaryscale Plans Pricing**

## Tags

Artificial Intelligence, Biology, Bioinformatics, Computational Biology, Drug Discovery, ESM, ESM3, ESM Cambrian, Foundation Models, Generative Biology, Life Sciences, Machine-Learning, Protein Design, Protein Folding, Protein Language Models, Proteins, Representation Learning, Structure Prediction

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