# Matterworks

**Canonical:** https://apis.io/providers/matterworks/  
**Website:** https://www.matterworks.ai/  
**APIs profiled:** 0

Matterworks is a Boston-based life-sciences AI company building foundation models for biochemical omics. Its Large Spectral Model is trained on billions of small-molecule, lipid, peptide, and protein mass-spectrometry spectra across millions of biological contexts, and its Pyxis platform turns raw omics data into quantitative, untargeted biochemical annotations and predictions used for asset and target discovery, mode-of-action elucidation, and life-science R&D pipeline decisions. Matterworks positions biochemical omics as explaining orders of magnitude more biological variation than sequence data alone. The product is accessed through the Pyxis web application (app.matterworks.ai, Auth0 sign-in); no public developer API, OpenAPI, SDK, or documentation surface is published at this time.

## Kin Score — 11.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.9).

| Facet | Score |
|---|---|
| Discoverability | 61.1 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Health**: 17.5 (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)

- **Matterworks Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Artificial Intelligence, Metabolomics, Omics, Life Sciences, Biotechnology, Mass Spectrometry, Foundation Models

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