Changelog

Guided onboarding: 3-step flow to set up your first table in 30 seconds

Cell error details: click any failed cell to see exactly what went wrong and how to fix it

Column health badges: see completion stats (e.g. 45/50) directly on smart column headers

Run history: view past column runs with status, duration, and error counts

API usage dashboard: track daily API calls, token usage, and estimated costs

Cost warnings: alerts when daily AI spend exceeds thresholds

In-app feedback: send bug reports and feature requests directly from the sidebar

New documentation: Limits & Quotas reference and Troubleshooting guide

Smart column errors now show inline messages instead of just a red dot

Run completion notifications now clearly distinguish partial errors from full failures

Circuit breaker warnings now explain the cause and how to recover

Improved error monitoring and reliability across all operations

Column dependency engine: smart columns automatically run in the right order based on references

Extract columns: pull specific fields from HTTP responses at zero API cost

Pipeline tabs: organize multi-stage workflows across related tables

Auto-dedupe: automatically reject duplicate records on insert

Cascade-on-edit: changing a cell automatically re-runs dependent smart columns

API Accounts: save and reuse authentication headers for HTTP columns

Circuit breaker: automatically pauses columns with high error rates to protect your budget

Workspace-level database isolation for enhanced security

Cursor pagination for large record sets

Parallel record processing for faster smart column execution

Create and manage tables with dynamic columns via UI or MCP

Smart columns: HTTP, Formula, Integration, Waterfall, Lookup, and Extract

Real-time updates: see changes as they happen via WebSocket

Incoming and outgoing webhooks with automatic retry

CSV import and export

Subscription billing with plan-based limits

Smart name matching: typo correction with "Did you mean?" suggestions