Recommendations
RecommendationRecommendations
Providers using this tag (56)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 5 Complete, well-documented, and agent-ready
Developing 13 Usable, with meaningful gaps to close
Thin 7 Limited public surface area
Emerging 11 Early or largely undocumented
Unrated 7 Not yet scored
APIs with this tag (79)
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 →
Exemplar 16 Complete, well-documented, and agent-ready
Strong 12 Solid coverage with minor gaps
Developing 29 Usable, with meaningful gaps to close
Thin 13 Limited public surface area
Emerging 9 Early or largely undocumented
Companies reaching this through an API (57)
These companies publish an API, specification or operation carrying “Recommendations” 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.
Show all 57 companies ↓
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 46 providers in the APIs.io catalog tagged Recommendations, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Access Clarity | 44.1 | 26.5 | +17.6 | 46 |
| Developer Ergonomics | 40.6 | 23.4 | +17.2 | 46 |
| Contract Quality | 36.7 | 20.1 | +16.6 | 46 |
| Operational Transparency | 25.7 | 14 | +11.7 | 46 |
| Contract Governance | 15 | 6.5 | +8.5 | 46 |
| Discoverability | 68.7 | 61 | +7.7 | 46 |
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) | 19% | 10% | +9 |
| MCP server (first-party) | 21% | 13% | +8 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 19% | 11% | +8 |
| Security | 87% | 96% | -9 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 30% | 13% | +17 |
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 Mapp Marketing Cloud 74.8
- 2 Algolia 71.5
- 3 Densify 70.3
- 4 Bloomreach 68.6
- 5 Taboola 67.4
- 6 Last.fm 62.6
- 7 Clerk.io 58.5
- 8 Insider 57
- 9 Trakt 56.4
- 10 The Movie Database 55.9
- 1 Bloomreach 63.7
- 2 Algolia 61.5
- 3 Mapp Marketing Cloud 56.3
- 4 Insider 51.6
- 5 Coveo 43.4
- 6 Densify 41.2
- 7 Clerk.io 35.4
- 8 Semantic Scholar 34.2
- 9 Taboola 31
- 10 True Fit 28.6
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.