Executable Science

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.

Executable Science is listed with 1 API on the APIs.io network. Tagged areas include Research Library, Datasets, Software, Research briefs, and AI Evaluation.

Executable Science’s developer surface includes support and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.3/100 minimal Agent 3/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Research LibraryDatasets SoftwareResearch briefsAI Evaluation Open Science

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 10.3/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 4.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.6 / 9

Regulatory Posture 1.2 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Education & Research regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 4.8 — up to +19.0 composite points Ask about this →
Access Clarity scores 27.7 — up to +14.5 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/executable-science/apis.yml: open an issue on github.com/api-evangelist/executable-science to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Executable Science API

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

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Executable Science Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: executable-science
name: Executable Science
description: 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.
url: https://artifacts.apis.io/executable-science/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-07 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-07'
modified: '2026-11-07'
tags:
- Research Library
- Datasets
- Software
- Research briefs
- AI Evaluation
- Open Science
tags_raw:
- Research library
- Datasets
- Software
- Methods
- Research briefs
- AI evaluation
- Open science
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/executable-science-llms.txt
- type: Hosts
  url: hosts/executable-science-hosts.yml
- type: Vendors
  url: vendors/executable-science-vendors.yml
- type: Login
  url: https://executable.science/login
- type: DomainSecurity
  url: security/executable-science-domain-security.yml
- type: Website
  url: https://executable.science/
- type: Support
  url: https://executable.science/feedback
- type: TermsOfService
  url: https://executable.science/terms
- type: PrivacyPolicy
  url: https://executable.science/privacy
apis:
- name: Executable Science API
  description: Executable Science provides an open library of research resources, data, tools, and AI‑driven research briefs
    via its API.
  humanURL: https://executable.science/api
  aid: executable-science:executable-science-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, or other machine‑readable contract was found on the provider's hosts.
  evidence:
  - url: https://api.executable.science/openapi.json
    status: 0
  checked: '2026-11-07'
x-enrichment:
  date: '2026-11-07'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Executable Science API — frequently asked questions

Does Executable Science have an API?

Yes. APIs.io lists 1 API from Executable Science, including Executable Science API.

Is the Executable Science API ready for AI agents?

Executable Science has a Kin Score of 10.3 out of 100 (minimal) and an Agent Readiness score of 3.1 (human-only), scored by API Evangelist on 2026-11-13.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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