# Executable Science

**Canonical:** https://apis.io/providers/executable-science/  
**Website:** https://executable.science/  
**APIs profiled:** 1

Executable Science provides an open library of research resources, data, tools, and AI‑driven research briefs. Users can explore datasets, software packages, and published articles, create and export research plans, and compare evaluation methods, all without needing an account. The platform aims to make scientific evidence transparent and reusable for AI applications.

## Kin Score — 10.3 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Access Clarity | 27.7 |

Regulatory layer — **Education & Research**: 7.8 (matched via tags).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Executable Science API** — Executable Science provides an open library of research resources, data, tools, and AI‑driven research briefs via its API.

## Security (1)

- **Executable Science Domain Security** — TLSv1.3 · DMARC

## Tags

Research Library, Datasets, Software, Research briefs, AI Evaluation, Open Science

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