# Chai Discovery

**Canonical:** https://apis.io/providers/chai-discovery/  
**Website:** https://chaidiscovery.com  
**APIs profiled:** 0

Chai Discovery builds frontier AI to predict and reprogram the interactions between biochemical molecules. Its flagship Chai-1 is a multi-modal foundation model for biomolecular structure prediction across proteins, small molecules, DNA, RNA, glycans, and multi-component complexes, released as an open-source Python package (Apache 2.0) and as a hosted commercial server. Chai-2 extends the platform to de novo antibody design, generating novel antibodies directly from target epitopes without iterative wet-lab screening. Founded in 2023, Chai Discovery is a venture-backed digital-biology company whose developer surface centers on the chai_lab Python package, a command-line interface, and the hosted Chai Design platform.

## Kin Score — 23.6 / 100 (emerging)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (-1.3 from 24.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 42.9 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

## 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)

- **Chai Discovery Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Digital Biology, Structural Biology, Protein Structure Prediction, Antibody Design, Drug Discovery, Machine Learning, Bioinformatics, Artificial Intelligence

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