Research Computing
Providers using this tag (72)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Developing 13 Usable, with meaningful gaps to close
Thin 39 Limited public surface area
Emerging 20 Early or largely undocumented
APIs with this tag (28)
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 13 Limited public surface area
Emerging 15 Early or largely undocumented
Companies reaching this through an API (5)
These companies publish an API, specification or operation carrying “Research Computing” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 72 providers in the APIs.io catalog tagged Research Computing, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 34.9 | 18.2 | +16.7 | 72 |
| Developer Ergonomics | 31.6 | 22.1 | +9.5 | 72 |
| Discoverability | 66.9 | 57.9 | +9 | 72 |
| Contract Governance | 14.6 | 9.4 | +5.2 | 72 |
| Operational Transparency | 13.5 | 12.4 | +1.1 | 72 |
| Access Clarity | 24.3 | 25 | -0.7 | 72 |
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.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 1% | 16% | -15 |
| MCP server (first-party) | 1% | 14% | -13 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 33% | 13% | +20 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 0% | 2% | -2 |
| Governance rules | 67% | 35% | +32 |
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.
- 1 Uppsala University 50.4
- 2 Delft University of Technology 47.6
- 3 University of Lausanne 46.1
- 4 University of California, San Diego 45
- 5 University of Michigan-Ann Arbor 43.6
- 6 RWTH Aachen University 43.5
- 7 University of Bonn 42.7
- 8 University of Minnesota 42.1
- 9 University of Illinois Urbana-Champaign 41.6
- 10 University of Texas at Austin 40.8
- 1 Shanghai Jiao Tong University 31.4
- 2 University of Oxford 31.3
- 3 University of Chicago 31.2
- 4 University of California, San Francisco 31.1
- 5 Peking University 30.4
- 6 High Performance Software Foundation 30.2
- 7 Hamad Bin Khalifa University 30.1
- 8 ETH Zurich – Swiss Federal Institute of Technology 29.8
- 9 Aalto University 28.8
- 10 University of Calgary 28.8
Coverage caveat. 55 of 72 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 7 November 2026, across 38912 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.