niche · 0.9 capability schema

Scientific Computing

Score 17.3 / 100 27 providers 4 APIs Search apis.io →
Variants seen in the corpus: Scientific Computingscientific-computing

Providers using this tag (27)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Strong 1 Solid coverage with minor gaps
Developing 6 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 6 Early or largely undocumented
Minimal 4 Almost no public developer surface

APIs with this tag (4)

Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →

Thin 2 Limited public surface area
Emerging 2 Early or largely undocumented

Score breakdown

Frequency
40.5
log-scaled weighted occurrences
Breadth
0.7
spread across providers
Quality lift
32.8
mean composite of providers using it
Cohesion
3.1
strength of nearest seed neighbor

Related tags

HPC 5 co-occurrences High Performance Computing 5 co-occurrences Quantum Computing 6 co-occurrences Data Science 6 co-occurrences Python 7 co-occurrences Open-Source 9 co-occurrences Machine-Learning 6 co-occurrences Company 14 co-occurrences

Where this tag comes from

Provider tag25
Api tag4

Cohort brief

Auto-generated

The 27 providers in the APIs.io catalog tagged Scientific Computing, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.

Providers
27
all scored
Mean Kin Score
27.1
+6.4 vs catalog 20.7
Mean Agent Readiness
11.9
+2.2 vs catalog 9.7
Spread
3.6–57.6
median 28.3 · σ 14.2
How the 27 split by band
Exemplar 0Strong 1Developing 4Thin 11Emerging 6Minimal 5
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
Developer Ergonomics 32.7 17.9 +14.8 27
Operational Transparency 19.4 11.3 +8.1 27
Discoverability 65.5 60.4 +5.1 27
Access Clarity 25.8 22.3 +3.5 27
Contract Quality 20.6 17.5 +3.1 27
Contract Governance 6.8 6.4 +0.4 27

A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.

What this cohort publishes
ArtifactThis cohortCatalogDifference
MCP server (any) 15% 16% -1
MCP server (first-party) 0% 7% -7
Agent Skills 0% 0% 0
OAuth scopes 11% 9% +2
Security 96% 88% +8
Arazzo workflows 0% 2% -2
Governance rules 7% 13% -6

mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.

All 27 members of this roster resolve to a scored provider in the catalog.Generated from the catalog build of 25 August 2026, across 26891 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.

Work with this as data

Every tag here is available over the APIs.io API and to AI agents over MCP.

MCP server

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https://apis.io/mcp

Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • 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.
All 92 tools →

Call it yourself

curl for this page
This tag
curl "https://apis.io/api/v1/tags/scientific-computing"
All tags
curl "https://apis.io/api/v1/tags?limit=25"
As a scored cohort
curl "https://apis.io/api/v1/cohorts/tag/scientific-computing"
The distribution (Pro)
curl "https://apis.io/api/v1/cohorts/tag/scientific-computing/stats" \
  -H "X-API-Key: $APIS_IO_KEY"

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