Text Analysis
Providers using this tag (28)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 1 Solid coverage with minor gaps
Developing 6 Usable, with meaningful gaps to close
Thin 6 Limited public surface area
Emerging 1 Early or largely undocumented
APIs with this tag (18)
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 1 Solid coverage with minor gaps
Thin 2 Limited public surface area
Emerging 1 Early or largely undocumented
Minimal 14 Almost no public developer surface
Companies reaching this through an API (3)
These companies publish an API, specification or operation carrying “Text Analysis” 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 27 providers in the APIs.io catalog tagged Text Analysis, 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 | 23.7 | 17.6 | +6.1 | 27 |
| Operational Transparency | 15.3 | 13.7 | +1.6 | 27 |
| Access Clarity | 25.5 | 26.5 | -1 | 27 |
| Discoverability | 56.9 | 58.1 | -1.2 | 27 |
| Contract Governance | 5.1 | 6.3 | -1.2 | 27 |
| Developer Ergonomics | 20.8 | 23.2 | -2.4 | 27 |
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) | 7% | 12% | -5 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 0% | 11% | -11 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 0% | 2% | -2 |
| Governance rules | 33% | 14% | +19 |
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 Amazon Comprehend 57.3
- 2 Vettly 53.3
- 3 GPTZero 49.2
- 4 IBM Language Translator 44.8
- 5 DetectLanguage 43.7
- 6 Google Cloud Natural Language 42.9
- 7 Marz Greta-Lock Network 42.4
- 8 AYLIEN 38.5
- 9 languagelayer 37.2
- 10 Clarifai 35.4
- 1 Vettly 43.2
- 2 Marz Greta-Lock Network 38
- 3 DetectLanguage 30.6
- 4 AYLIEN 30.6
- 5 languagelayer 30.6
- 6 Amazon Comprehend 28.1
- 7 Clarifai 24
- 8 IBM Language Translator 22.3
- 9 TextGears 22.3
- 10 GPTZero 20.7
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.