Although we fell behind on changelog updates after August, we never stopped shipping. Over the past few months we rolled out a large number of improvements across automation, AI, APIs, and the core table experience.

Here are the most important updates you may have missed from August through December.

🔁 Send data between tables

You can now send data from one table to another.

This makes it easy to:

• Build multi-step workflows across tables

• Append results from automations into separate datasets

• Keep source and output data cleanly separated

Currently supported for single-row sends, with more coming.

🔍 Detail view for full rows

You can now view a full row in a dedicated sidebar by clicking “View row” in the bottom right when a cell is selected.

This makes it much easier to:

• Inspect large rows with many columns

• Debug automations

• Review AI outputs without horizontal scrolling

The experience is similar to tools like Asana or Linear.

✅ Major update: Cell-level enrichment statuses

Previously, enrichment statuses were stored only at the row level. This made it hard to understand what happened inside complex automations or why something failed.

Databar now stores and displays enrichment statuses at the cell-level.

This unlocks several important improvements:

• You can see exactly what happened at each step of an automation

• Failures are visible at the cell level, not hidden at the row level

• Most importantly, multiple enrichments can now run in parallel, significantly speeding up execution on large tables

This change removes a major bottleneck for advanced workflows.

➕ Add many rows at once

Previously, you could only add up to 10 rows at a time.

You can now add as many rows as you want to the top or bottom of a table using a dedicated input. This makes bulk data entry much faster.

🤖 AI prompt generator

You can now generate optimized AI prompts directly inside Databar.

This works for:

• AI Researcher agents

• Custom AI prompt enrichments

Simply describe what you want, and Databar will generate a well-structured prompt for you.

🧠 New AI models

We updated our AI model lineup to reflect the latest developments in the AI ecosystem, improving output quality and reliability across AI features.

🔌 Custom API connectors improvements

When adding your own API connectors, Databar now supports:

• PATCH requests

• PUT requests

In addition to GET and POST. This allows for more complete and flexible API integrations.

🔗 Required column references for AI and text enrichments

You can now mark column references as required in AI and free-text enrichments.

If a required column is empty, the enrichment will not run. This prevents unnecessary executions and avoids invalid AI inputs.

To mark an input as required simply click the toggle in the reference. If the toggle is not selected, the field is marked as optional.

🧬 Map columns directly to nested JSON values

You no longer need to expand JSON into separate columns first.

Columns can now be mapped directly to nested JSON values, simplifying schemas and reducing extra steps in workflows.

📧 Email waterfall verifiers

We added three email verifiers to email finder waterfalls.

Each verifier checks whether an email is valid, and if not, the workflow automatically falls back to the next provider. This improves deliverability and data quality.

▶️ Run conditions now apply everywhere

Run conditions now trigger correctly whether you:

• Run all rows

• Run a single row

Previously, conditions only applied when running all rows. This is now consistent across execution modes.

💸 Removed action charges for formulas and JSON tools

We no longer charge actions for:

• JSON Expander

• Formulas

• Similar transformation-only operations

Only enrichments that call external services consume actions.

⚙️ Full-screen settings

Personal account settings and workspace settings have been consolidated into a single, full-screen settings page for easier navigation and management.

🧹 Customizable AI outputs

You can now remove the “result” and “reasoning” fields from:

• AI Researcher outputs

• AI prompt enrichments

These fields were previously hard-coded and are now fully optional.

🎨 General UI and usability improvements

We shipped a number of UI updates focused on clarity and usability:

• Updated icons and visuals

• Cleaner layouts

• Improved interaction consistency across the app