Cube.js API
Cube is a headless analytics API layer that sits between your data warehouse and frontend applications, exposing a semantic metrics layer via REST, GraphQL, and SQL APIs so agents and applications can query pre-defined business metrics consistently without writing raw warehouse SQL.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
JWT-based security context allows fine-grained row-level security by embedding tenant/user identifiers in tokens. The shared signing secret must be protected carefully — compromise allows generation of arbitrary tokens with any security context. TLS enforced in Cloud; self-hosted deployments must configure TLS independently.
⚡ Reliability
Best When
An agent needs to answer business analytics questions against a governed semantic layer where metric definitions are centrally managed, avoiding raw warehouse access.
Avoid When
You need to write or mutate data, you have no existing data warehouse, or you need real-time streaming query capabilities.
Use Cases
- • Querying business metrics (revenue, DAU, churn) via REST or GraphQL without writing raw warehouse SQL
- • Building AI agent tools that answer analytical questions by querying the Cube semantic layer for consistent, governed metrics
- • Retrieving pre-aggregated OLAP data with dimension/measure/filter combinations for dashboard or report generation
- • Using Cube's SQL API to let LLM-generated SQL queries run against a governed schema rather than raw warehouse tables
- • Fetching metadata about available cubes, measures, and dimensions for agent self-discovery of queryable analytics objects
Not For
- • Write operations or data ingestion — Cube is read-only query layer, not an ETL or ingestion tool
- • Teams without an existing data warehouse — Cube requires a warehouse (BigQuery, Snowflake, Redshift, Postgres, etc.) as the data source
- • Real-time event streaming analytics — Cube is optimized for OLAP batch query patterns, not sub-second streaming pipelines
Interface
Authentication
API tokens are JWTs signed with a shared secret (CUBEJS_API_SECRET). Tokens can embed security context (user ID, tenant ID) for row-level security. For agent use, generate a long-lived token with appropriate security context or use a master token. Cube Cloud deployments also support OAuth via the Cloud console for human users.
Pricing
Self-hosted open-source version is the most common deployment for cost-sensitive workloads. Cube Cloud adds managed deployment, monitoring, and scaling. Most agent use cases can start with self-hosted.
Agent Metadata
Known Gotchas
- ⚠ Cube schema must be defined ahead of time in schema files — agents cannot query arbitrary tables; only measures and dimensions defined in the data model are available, requiring upfront discovery via /meta endpoint.
- ⚠ Pre-aggregations must be built before they serve fast responses — a cold query against a new time range may trigger a slow pre-aggregation build, causing unexpectedly high latency on first execution.
- ⚠ Security context embedded in JWT tokens controls row-level filtering — agents must generate tokens with the correct security context for the tenant they're querying, or all tenants' data will be visible.
- ⚠ The /load endpoint is asynchronous for long queries — it returns a Continue wait response with a token, requiring agents to poll until the query completes rather than receiving an immediate response.
- ⚠ Cube's query format uses a custom JSON structure (measures, dimensions, filters, timeDimensions arrays) rather than SQL — agents must learn this query format or use the SQL API proxy, which has its own limitations.
Alternatives
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Scores are editorial opinions as of 2026-03-06.