Singapore
Providers using this tag (72)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 1 Solid coverage with minor gaps
Thin 11 Limited public surface area
Emerging 20 Early or largely undocumented
Minimal 35 Almost no public developer surface
APIs with this tag (0)
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Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 67 providers in the APIs.io catalog tagged Singapore, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Governance | 5 | 6.3 | -1.3 | 67 |
| Discoverability | 54.9 | 58.1 | -3.2 | 67 |
| Access Clarity | 20.8 | 26.5 | -5.7 | 67 |
| Operational Transparency | 7.5 | 13.7 | -6.2 | 67 |
| Developer Ergonomics | 15.9 | 23.2 | -7.3 | 67 |
| Contract Quality | 9.3 | 17.6 | -8.3 | 67 |
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) | 7% | 14% | -7 |
| MCP server (first-party) | 4% | 12% | -8 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 10% | 11% | -1 |
| Security | 97% | 98% | -1 |
| Arazzo workflows | 0% | 2% | -2 |
| Governance rules | 4% | 14% | -10 |
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 Airalo 58.5
- 2 Sygnum 49.8
- 3 Accredify 49
- 4 Dokki 47.6
- 5 Aspire 44.2
- 6 ShopBack 44
- 7 Advance Intelligence Group 39.2
- 8 Nanyang Technological University 38.7
- 9 ADVANCE.AI 35.4
- 10 Aspiresingapore 33.3
- 1 Dokki 48.7
- 2 Airalo 41.5
- 3 Sygnum 37.8
- 4 ShopBack 37.2
- 5 Accredify 34.6
- 6 Xfers 33
- 7 ADVANCE.AI 31.5
- 8 Aspire 29.4
- 9 Eruditus 29
- 10 National University of Singapore 29
Coverage caveat. 63 of 67 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 5 October 2026, across 29093 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.