Augmented Reality
Providers using this tag (67)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Strong 1 Solid coverage with minor gaps
Emerging 18 Early or largely undocumented
Minimal 35 Almost no public developer surface
APIs with this tag (11)
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 2 Complete, well-documented, and agent-ready
Strong 1 Solid coverage with minor gaps
Developing 3 Usable, with meaningful gaps to close
Thin 2 Limited public surface area
Emerging 3 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 56 providers in the APIs.io catalog tagged Augmented Reality, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 22.5 | 23.2 | -0.7 | 56 |
| Contract Governance | 4.9 | 6.3 | -1.4 | 56 |
| Discoverability | 56.1 | 58.1 | -2 | 56 |
| Access Clarity | 22.3 | 26.5 | -4.2 | 56 |
| Operational Transparency | 8.2 | 13.7 | -5.5 | 56 |
| Contract Quality | 4.3 | 17.6 | -13.3 | 56 |
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) | 10% | 14% | -4 |
| MCP server (first-party) | 7% | 12% | -5 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 9% | 11% | -2 |
| Security | 97% | 98% | -1 |
| Arazzo workflows | 0% | 2% | -2 |
| Governance rules | 5% | 14% | -9 |
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.
Coverage caveat. 52 of 56 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.