niche · 0.2

Document AI

Score 18.6 / 100 27 providers 6 APIs Search apis.io →

Providers using this tag (27)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Strong 2 Solid coverage with minor gaps
Developing 5 Usable, with meaningful gaps to close
Thin 14 Limited public surface area
Emerging 3 Early or largely undocumented
Minimal 3 Almost no public developer surface

APIs with this tag (6)

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 →

Developing 2 Usable, with meaningful gaps to close
Thin 3 Limited public surface area
Emerging 1 Early or largely undocumented

Score breakdown

Frequency
41.2
log-scaled weighted occurrences
Breadth
0.7
spread across providers
Quality lift
39.2
mean composite of providers using it
Cohesion
1.8
strength of nearest seed neighbor

Related tags

Intelligent Document Processing 6 co-occurrences IDP 6 co-occurrences OCR 11 co-occurrences Classification 6 co-occurrences Data Extraction 7 co-occurrences Workflows 10 co-occurrences File 6 co-occurrences Documents 6 co-occurrences

Where this tag comes from

Provider tag24
Api tag6
Openapi tag1
Openapi op tag2

Cohort brief

Auto-generated

The 27 providers in the APIs.io catalog tagged Document AI, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.

Providers
27
all scored
Mean Kin Score
32.1
+11.4 vs catalog 20.7
Mean Agent Readiness
16.9
+7.2 vs catalog 9.7
Spread
2.6–60.3
median 33.5 · σ 14.2
How the 27 split by band
Exemplar 0Strong 2Developing 5Thin 14Emerging 3Minimal 3
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
Contract Quality 33.3 17.5 +15.8 27
Developer Ergonomics 29.9 17.9 +12 27
Access Clarity 33.7 22.3 +11.4 27
Operational Transparency 21.2 11.3 +9.9 27
Discoverability 69.6 60.4 +9.2 27
Contract Governance 7.4 6.4 +1 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.

What this cohort publishes
ArtifactThis cohortCatalogDifference
MCP server (any) 22% 16% +6
MCP server (first-party) 4% 7% -3
Agent Skills 0% 0% 0
OAuth scopes 19% 9% +10
Security 96% 88% +8
Arazzo workflows 7% 2% +5
Governance rules 19% 13% +6

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.

Top by Kin Score
  1. 1 Nanonets 60.3
  2. 2 Instabase 58.3
  3. 3 Oracle 53
  4. 4 Anvil 49.8
  5. 5 Luminary 40.5
  6. 6 Parseflow 40.2
  7. 7 Tensorlake 39.8
  8. 8 Extend 37.9
  9. 9 V7 37.9
  10. 10 Indico Data 37.8
Top by Agent Readiness
  1. 1 Oracle 41.9
  2. 2 Anvil 33.1
  3. 3 Parseflow 32
  4. 4 Nanonets 29.5
  5. 5 Cognite 29.4
  6. 6 Luminary 29.3
  7. 7 Instabase 28.5
  8. 8 Hyperscience 22.7
  9. 9 Azure AI Document Intelligence 22.3
  10. 10 Extend 22.3
All 27 members of this roster resolve to a scored provider in the catalog.Generated from the catalog build of 25 August 2026, across 26891 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

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Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools

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The distribution (Pro)
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