Voice AI
Providers using this tag (136)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 5 Complete, well-documented, and agent-ready
Strong 22 Solid coverage with minor gaps
Developing 29 Usable, with meaningful gaps to close
Thin 27 Limited public surface area
Emerging 35 Early or largely undocumented
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 →
Strong 2 Solid coverage with minor gaps
Developing 4 Usable, with meaningful gaps to close
Thin 3 Limited public surface area
Score breakdown
Where this tag sits
136 providers carry this tag directly, and 278 counting the 4 narrower tags below and the 1 beneath them — 142 more to reach.
Related tags
Where this tag comes from
Markets provisional
Kin Score markets whose measured providers carry this tag. Share is the fraction of the market's measured providers that carry it — it describes the market, not this tag.
| Market | Share of the market's providers |
|---|---|
| Speech and Voice AI | 27% |
Cohort brief
Auto-generatedThe 129 providers in the APIs.io catalog tagged Voice AI, 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 | 48.7 | 30 | +18.7 | 129 |
| Developer Ergonomics | 36.4 | 24.5 | +11.9 | 129 |
| Contract Quality | 29.1 | 18.6 | +10.5 | 129 |
| Discoverability | 65.8 | 59.1 | +6.7 | 129 |
| Operational Transparency | 19.9 | 13.2 | +6.7 | 129 |
| Contract Governance | 15.2 | 9.7 | +5.5 | 129 |
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) | 33% | 18% | +15 |
| MCP server (first-party) | 34% | 16% | +18 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 12% | 13% | -1 |
| Security | 100% | 99% | +1 |
| Arazzo workflows | 2% | 1% | +1 |
| Governance rules | 50% | 36% | +14 |
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 Telnyx 93.5
- 2 ElevenLabs 83.2
- 3 Regal 71.6
- 4 CallNode 69.5
- 5 Roark 69
- 6 PyannoteAI 65
- 7 DialNexa 62.8
- 8 SLNG 62.6
- 9 Modulate 61.8
- 10 Coval 60.9
- 1 Telnyx 79.5
- 2 Sarj AI Developer API 65.6
- 3 Speko 61
- 4 Coval 60.7
- 5 DialNexa 60.5
- 6 ElevenLabs 60.3
- 7 Synthflow 59.2
- 8 Phonic 57.9
- 9 CallNode 55.8
- 10 Listen Labs 55.4
Coverage caveat. 100 of 129 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 14 November 2026, across 41591 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.