Financials
Providers using this tag (34)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Developing 11 Usable, with meaningful gaps to close
Thin 11 Limited public surface area
Emerging 9 Early or largely undocumented
APIs with this tag (32)
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 1 Complete, well-documented, and agent-ready
Strong 2 Solid coverage with minor gaps
Developing 13 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 6 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 34 providers in the APIs.io catalog tagged Financials, 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 | 42.9 | 17.5 | +25.4 | 34 |
| Access Clarity | 38.5 | 22.3 | +16.2 | 34 |
| Discoverability | 72.4 | 60.4 | +12 | 34 |
| Developer Ergonomics | 29.6 | 17.9 | +11.7 | 34 |
| Operational Transparency | 20.6 | 11.3 | +9.3 | 34 |
| Contract Governance | 14.5 | 6.4 | +8.1 | 34 |
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) | 24% | 16% | +8 |
| MCP server (first-party) | 6% | 7% | -1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 29% | 9% | +20 |
| Security | 100% | 88% | +12 |
| Arazzo workflows | 12% | 2% | +10 |
| Governance rules | 44% | 13% | +31 |
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 Dun & Bradstreet 67.9
- 2 Factset 64.8
- 3 Factiva 61.9
- 4 Oracle 53
- 5 LeaseAccelerator 52.3
- 6 Arthur Online 51.8
- 7 Uber Eats 49.6
- 8 PeopleSoft 49.4
- 9 Workday Report Writer 46.2
- 10 Moody's Corporation 45.2
- 1 Factset 52.8
- 2 Factiva 43.3
- 3 Dun & Bradstreet 43.2
- 4 Oracle 41.9
- 5 Arthur Online 37.9
- 6 VTS 37.2
- 7 Uber Eats 33.7
- 8 Trading Economics 30
- 9 Granular (Corteva Agriscience) 28.7
- 10 Moody's Corporation 28.4
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.
MCP server
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https://apis.io/mcp
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.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/tags/financials"
curl "https://apis.io/api/v1/tags?limit=25"
curl "https://apis.io/api/v1/cohorts/tag/financials"
curl "https://apis.io/api/v1/cohorts/tag/financials/stats" \
-H "X-API-Key: $APIS_IO_KEY"
Discovery needs no key. Ratings and market analysis are Pro.