# 10x Science

**Canonical:** https://apis.io/providers/10x-science/  
**Website:** https://10xscience.com/  
**APIs profiled:** 0

10x Science is an AI-native software company building the first AI-native protein characterization platform for the life sciences, starting with drug development. A Y Combinator W26 company founded out of Nobel laureate Carolyn Bertozzi's laboratory at Stanford University, it automates peptide mapping for protein therapeutics, delivering explainable molecular insights in minutes where legacy tools and manual workflows take months. The company raised a $4.8M seed round led by Initialized Capital and is headquartered in the San Francisco Bay Area. This API Evangelist profile tracks the company; it does not yet publish a public developer API.

## Kin Score — 6.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.0).

| 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 | 13.2 |
| Access Clarity | 13.2 |

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)

- **10X Science Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Frontier Tech, Life Sciences, Drug Discovery, Protein Therapeutics, Biotechnology, Artificial Intelligence, Peptide Mapping

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/10x-science/). Scores are computed from the provider's own public artifacts under a published rubric.