Data Visualization
Providers using this tag (45)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Developing 9 Usable, with meaningful gaps to close
Thin 20 Limited public surface area
Emerging 8 Early or largely undocumented
Minimal 7 Almost no public developer surface
APIs with this tag (8)
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
Developing 2 Usable, with meaningful gaps to close
Thin 4 Limited public surface area
Emerging 1 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 45 providers in the APIs.io catalog tagged Data Visualization, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 35.5 | 17.9 | +17.6 | 45 |
| Contract Quality | 28.1 | 17.5 | +10.6 | 45 |
| Operational Transparency | 21.2 | 11.3 | +9.9 | 45 |
| Access Clarity | 29.2 | 22.3 | +6.9 | 45 |
| Contract Governance | 9 | 6.4 | +2.6 | 45 |
| Discoverability | 62.9 | 60.4 | +2.5 | 45 |
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) | 29% | 16% | +13 |
| MCP server (first-party) | 16% | 7% | +9 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 13% | 9% | +4 |
| Security | 89% | 88% | +1 |
| Arazzo workflows | 7% | 2% | +5 |
| Governance rules | 24% | 13% | +11 |
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 Salesforce 83.3
- 2 Tako 53.2
- 3 Oracle 53
- 4 Looker Studio 50.5
- 5 SAP BI Tools 49.9
- 6 Graphy 48.7
- 7 Tableau 46.6
- 8 Embeddable 41.4
- 9 Looker 41.3
- 10 Google Looker 39.6
- 1 Salesforce 52.2
- 2 Tako 43.2
- 3 Oracle 41.9
- 4 Circana 30.6
- 5 Looker Studio 30.6
- 6 Qlik Sense Enterprise 29
- 7 Google Looker Studio 28.7
- 8 Tableau 28.3
- 9 CoreLogic Australia 26.1
- 10 Graphy 26.1
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/data-visualization"curl "https://apis.io/api/v1/tags?limit=25"curl "https://apis.io/api/v1/cohorts/tag/data-visualization"curl "https://apis.io/api/v1/cohorts/tag/data-visualization/stats" \
-H "X-API-Key: $APIS_IO_KEY"Discovery needs no key. Ratings and market analysis are Pro.