# Albert

**Canonical:** https://apis.io/providers/albert/  
**Website:** https://www.albertinvent.com/  
**APIs profiled:** 0

Albert Invent (Albert Invent Corp.) builds an AI-native operating system for chemistry and materials R&D, giving scientists a unified platform for electronic lab notebooks, chemical drawing, experiment and formulation management, and machine-learning models trained on millions of molecular structures. The platform centralizes fragmented R&D data and workflows for teams inventing new materials across adhesives, coatings, batteries, and life sciences, with role-based access control and regulatory compliance coverage across hundreds of thousands of chemical substances. Albert Invent does not currently publish a public developer API or documentation (its docs surface is password-protected); this profile captures the company's public web, product, legal, and domain-security surface as a lead awaiting a public API. Headquartered in Oakland, California.

## Kin Score — 13.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 13.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

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)

- **Albert Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Ai Ml, Chemistry, Materials Science, R&D, Electronic Lab Notebook, Machine-Learning, Life Sciences, Formulation

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