Free TierAPI Key AuthOpenAPI Spec
Apache Superset is an open-source data visualization and business intelligence platform that allows users to create interactive dashboards and explore data through a web interface. It supports multiple databases and provides a REST API for programmatic access.
#8 of 117 in Analytics · #1 of 14 in Data Visualization · #1 of 12 in Business Intelligence
Checklist Breakdown
13 of 33 checks passed.
14 unscored.
Can an agent find and understand this tool without a web search?
✓
Published OpenAPI/Swagger spec
✗
Has llms.txt or llms-full.txt
✗
Has an MCP server (official or well-maintained)
✗
MCP server listed in a public registry
✓
API reference docs are publicly accessible
✓
Docs include runnable code examples
✓
Has a public changelog or release notes
✓
Has a public status page
Can an agent create an account and get credentials without human intervention?
✗
Signup does not require CAPTCHA
✗
Signup does not require phone verification
✓
Supports API key auth (not only OAuth)
✗
API key obtainable without manual approval
✓
No mandatory billing info to start
✓
Can sign up without creating an organization
Can an agent operate autonomously without upfront payment or contracts?
✓
Has a free tier
✓
Usage-based pricing available
✓
No minimum contract or commitment
✓
Pricing page is public (no 'contact sales')
✓
Free tier sufficient for testing (not just a trial)
How well does the API work for non-human consumers?
—
SDK available in 2+ languages
—
Structured error responses (JSON with error codes)
—
Idempotency support on write endpoints
—
Pagination on list endpoints
—
Webhook/event support
—
Sandbox or test mode available
—
Rate limit headers in responses
—
Consistent REST resource naming
Does the tool fail gracefully when an agent makes a mistake?
—
Meaningful error messages (not just 500)
—
429 responses include Retry-After header
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Documented uptime SLA (99.9%+)
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Graceful degradation under rate limits
—
Request IDs in responses for debugging
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API versioning supported
Reviewer Notes
Superset has decent REST API documentation and support for API keys, enabling agent integration for querying dashboards and datasets. However, account creation requires human intervention (no programmatic signup), and there's no MCP server or llms.txt for discovery. The self-hosted nature means reliability depends on deployment configuration, and agents face challenges with complex dashboard creation workflows due to the UI-first design philosophy. Strength: open-source with extensible API. Weakness: primarily UI-driven, limiting autonomous agent workflows.
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