RAG
Retrieval Augmented GenerationRAG
Providers using this tag (93)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 13 Solid coverage with minor gaps
Developing 33 Usable, with meaningful gaps to close
Thin 30 Limited public surface area
Emerging 10 Early or largely undocumented
Minimal 4 Almost no public developer surface
APIs with this tag (45)
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 5 Complete, well-documented, and agent-ready
Strong 8 Solid coverage with minor gaps
Developing 14 Usable, with meaningful gaps to close
Thin 12 Limited public surface area
Emerging 6 Early or largely undocumented
Companies reaching this through an API (19)
These companies publish an API, specification or operation carrying “RAG” 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
Where this tag sits
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 92 providers in the APIs.io catalog tagged RAG, 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 | 40.7 | 17.6 | +23.1 | 92 |
| Operational Transparency | 33.2 | 13.7 | +19.5 | 92 |
| Developer Ergonomics | 42.4 | 23.2 | +19.2 | 92 |
| Access Clarity | 41.2 | 26.5 | +14.7 | 92 |
| Discoverability | 67.6 | 58.1 | +9.5 | 92 |
| Contract Governance | 9.4 | 6.3 | +3.1 | 92 |
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) | 30% | 14% | +16 |
| MCP server (first-party) | 30% | 12% | +18 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 13% | 11% | +2 |
| Security | 98% | 98% | 0 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 27% | 14% | +13 |
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 Dify 75.3
- 2 Dust 73
- 3 TranscriptFetch 67.6
- 4 Space Frontiers 65.5
- 5 Nexla 64.7
- 6 WebCrawlerAPI 64.5
- 7 Airia 63.5
- 8 Seekr 63
- 9 Compresr 61
- 10 LlamaParse 56.7
- 1 Space Frontiers 65.7
- 2 Airweave 60.2
- 3 TranscriptFetch 58.1
- 4 LinqAlpha 54.5
- 5 Mixedbread 52.1
- 6 Airia 48.8
- 7 OpenLaws 47.4
- 8 Seltz 46.9
- 9 WikiKV 45.7
- 10 kapa.ai 44.6
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.