Mode

Authentication uses token-based auth with workspace-level access. The access model is appropriate for server-side automation. Teams should manage Mode API tokens with the same discipline as database credentials, since they provide access to potentially sensitive analytical data.

Mode is a SQL-first analytics platform used by data teams for ad hoc analysis, dashboard building, and report distribution. The API enables agents to trigger report runs, retrieve query results, and manage report organization programmatically — making it possible to embed Mode-generated analytics in automated workflows without manual analyst intervention. Teams that have invested in Mode reports as their analytics layer can extend those assets into agent-driven applications.

The API covers reports, runs, queries, and result retrieval. Agents can trigger a report run with optional parameter overrides, poll for completion, and retrieve results as structured data. That pattern enables analytics as a callable service in agent workflows, similar to how Hex's run API works. The SQL-first nature means the underlying logic is auditable and modifiable by data teams independently of the agent integration.

Reliability for analytics report execution depends on the underlying database connections. Mode report runs that query large datasets may have significant latency; agents should design for async completion patterns rather than synchronous expectations. Scheduled report runs generally behave predictably; on-demand triggered runs may experience queue-based delays during peak periods.

Documentation is functional for integration purposes. The API reference covers the available endpoints with enough context for implementation. Teams familiar with SQL analytics platforms will find the patterns recognizable. The API is less featured than some alternatives, but covers the core automation use cases that agents need.