New data providers in waterfall

We’ve added two new data sources to the “Get email by social link” waterfall. That waterfall now includes People Data Labs and FindyMail, increasing coverage and data quality.

The company data waterfall now includes additional standard fields in the result, including funding rounds, addresses/locations, industries, and estimated revenue.

Pipedrive Integration Re-vamp

Added 6 new inputs & filters to the Pipedrive integration, allowing you to pull Persons and Organizations with more precision. We’ve also added 3 new export to Pipedrive functions:

• Create Organization

• Update Organization

• Update Person

Other updates & bug fixes

• 🚤 Additional speed & performance updates

  • When launching an enrichment with 1000+ rows, the initial load will now come on faster & the enrichment will launch right away

  • Adding rows to bottom/top of table now happens instantly

• 📖 Re-named and fixed naming for over 800 inputs, making them clearer and more informative

• 👀 UI Update - no more column lag. Previously, when changing the widths and re-ordering columns quickly (or while an enrichment is running), columns would jump back to their previous position. This issue has been fixed

• ⚠️ Error cells will now display the issue when you hover over the triangle icon so you can quickly debug your automations

🐞 Bug fixes

• Several bug fixes to Excel formulas enrichments

• Bug fixes to rate limits

  • Previously, rate limits were not strictly followed and had a 10% overage rate. This issue has been fixed and rate limits will now be strictly followed on all enrichments

• Bug fixes for editing AI enrichments (required/optional conditions on column references not saving correctly)

• Fixed bug: If you changed the width of columns previously, you may have noticed them jump back to their original width. This issue has been fixed and table edits should be smoother.

Google Sheets Import

• We’ve added a new "Import from Google Sheets" feature. When browsing a Google Sheets page, the extension automatically switches to a dedicated import view. You can now copy a range of cells (with headers) and import them directly into Databar via the clipboard.

Results Page Improvements

• The "Preview results" button now closes the side panel automatically when opening the results page, reducing confusion.

• CSV downloads are now named after the table/page title (e.g. "Y Combinator companies - Feb 9, 2026.csv").

• Fixed CSV files opening incorrectly in Excel -- added UTF-8 BOM so Excel recognizes the format natively without the Text Import Wizard.

Data Parsing Fixes

• Duplicate column headers (e.g. two columns named "Name") are now handled gracefully -- the second becomes "Name (2)" instead of silently overwriting data.

Link extraction fixes

Our ‘extract link’ functionality was broken on our latest update - this has now been fixed and link extraction should work normally now.

We're thrilled to announce v3, a complete redesign of the Databar Chrome Extension! This release introduces a brand new sidebar-based interface, powerful new extraction features, and a streamlined experience for collecting data.

Complete Redesign: New Sidebar Interface

We've rebuilt the extension from the ground up with a new sidebar panel that stays open alongside your browsing. Having a side-bar allows you to see and read through the content of the page you’re on more easily and extract a larger number of fields more easily.

Key benefits:

• Persistent workspace that doesn't disappear when interacting with the page

• More screen real estate for viewing your fields and data

• Seamless element selection without UI interruptions

• Additional settings and configuration settings which are now easily available in the sidebar

New Features & Functionality

🔌 Sub-Element Extraction

Select a container element (like a product card or listing), click the Layers button, and instantly see all extractable sub-elements. Pick the specific data points you want (for example, “title”, “price”, “rating”) and they're added as child fields, visually grouped with their parent.

🔑 Easier authentication

You now no longer need to add your Databar API key to send data to Databar. The Chrome extension will now check for any active Databar sessions automatically and add data to that workspace. You can still use API key authentication as an alternative to automatic connections. Configure it once in the sidebar settings and access a specific workspace from anywhere.

👀 Watch mode

If you ever need to collect elements from multiple pages or after a scroll - simply turn on watch mode and the extension will automatically capture any new elements that appear in your tab and add them to the right field!

🧠 Smart CSV Downloads

Exported files now use descriptive filenames: {Page Title} | {Site Name} | {Date}.csv — no more generic "databar extension data" files cluttering your downloads.

🆕 CSS Selector Preview and Reset button

When selecting elements, the preview box now displays the CSS selector being used, giving you better insight into what's being captured.

Quality of life improvements

Custom Tooltips

All buttons now feature helpful tooltips that explain their function. Toggle buttons (Auto-scroll, Watch Mode, etc.) also display their current state.

Additional UI improvements

• Cancel Button: Exit selection mode easily with a Cancel button — no need to remember the Escape key

• Streamlined Selection Flow: Cleaner "Click an element" messaging consolidated into a single, focused display

• Reorganized Results Page: Download CSV and Databar buttons moved to the header for quicker access

• Updated Branding: Fresh branding, UI, and easier table controls throughout the extension

• Performance improvement and ~40% smaller bundle size — removed code, making the sidebar more responsive and easier to work with

Getting Started with the new extension

1. Click the Databar icon in your browser toolbar to open the sidebar

2. Navigate to any webpage with data you want to collect

3. Click "Add Field" and select elements on the page

4. Use the Layers button to extract specific sub-elements from containers

5. Export to CSV or send directly to your Databar workspace

Questions or feedback? We'd love to hear from you!

Install the extension here: Link →

Link to page in the Chrome sotre: Link →

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

Major speed and infrastructure updates

Our last changelog was back in August 2025, when we shipped updates to the REST API, Excel formulas, de-duplication, enrichment groups, text splitting, parameter grouping, filters, and more.

Since then, Databar usage has grown significantly. With that growth came real infrastructure challenges. Enrichment queues started taking longer than they should, and larger tables with 1,000+ rows began to feel sluggish.

So we hit pause on shipping new features and spent the last two months focused entirely on stability, performance, and tech debt.

The result is a noticeably faster and more reliable Databar.

🚤 Infrastructure and speed improvements

We’ve reworked large parts of our infrastructure to make Databar feel smooth and responsive, even at scale.

What’s changed:

• Enrichment queues are now scaled and fail-proofed to run faster and more reliably, even under heavy load

• Tables use significantly less memory and no longer lag as they grow

• Overall interaction now feels closer to Google Sheets: smooth scrolling, fast updates, and no freezing

If you work with large datasets, you should feel the difference immediately.

📜 Infinite scroll for large tables

Previously, tables loaded 600 rows at a time. Scrolling through large datasets meant waiting for each batch to load.

Databar now supports infinite scroll.

You can jump to the middle or the very end of a table instantly, no matter how large it is. This makes working with big datasets dramatically easier and faster.

⚡ Faster JSON Expander

We’ve also significantly optimized the JSON Expander.

If you export multiple values from a JSON cell into new columns, those exports now run up to 6x faster. JSON values are processed in parallel and appear at the same time, which removes UI lag and reduces pressure on enrichment queues.

Faster initial load

We’ve optimized large chunks of our code making load times & overall performance significantly better.

This update was about making Databar solid at scale. Faster tables, faster enrichments, and infrastructure that can keep up as usage grows.

As always, if you notice anything off or have feedback, let us know!

We’re excited to share a major upgrade to the Databar REST API: you can now apply filters directly to your GET requests!

Until now, the API returned the full table, with no way to narrow down results. Many of you asked for the ability to fetch only the rows you need — and we listened.

With this latest update, you can filter rows using EQUALS and CONTAINS operators, allowing you to query for rows where specific columns match or include a given string. This makes the API significantly more powerful for integrations and custom workflows.

📌 Example use cases:

• Retrieve all rows where the description column contains the word "enrichment"

• Get entries where the company_name column equals "Databar"

🔒 Note: This feature is currently available on Scale and Expand plans.

If you’re on a different plan and would like access, reach out to us — we’re happy to help!

This month’s updates are all about giving you cleaner data, more control, and less manual work inside Databar.

We’ve created a short video covering the main updates. Check it out here:

🧮 Excel Formula Support - your spreadsheet superpowers, inside Databar

You can now use familiar Excel formulas directly in your Databar tables. No more exporting to Excel or Google Sheets just to run simple logic or math.

Examples:

• =IF(A2>100, “High”, “Low”) → flag companies above a certain size.

• =CONCATENATE(A2, “ “, B2) → merge first name + last name into a single field.

• =OR(A2=“USA”, B2>500) → apply flexible filters for better targeting.

• =SUM(A:A), =AVERAGE(B:B), =ROUND(C2, 2) → do quick calculations without leaving Databar.

👉 If you know Excel, you already know how to make your Databar tables smarter.

🧹 Single‑Column Deduplication - fast one‑off cleanup

Sometimes you don’t need to overhaul your entire table, just tidy up one column. With single‑column deduplication, you can now remove duplicates based on a specific column.

Example:

• You have a list of leads with duplicate email addresses. Instead of deleting entire rows or checking manually, one click keeps only unique emails and clears the clutter.

👉 Perfect for quick cleanup when importing CSVs, running exports, or preparing outreach lists.

♻️ Automatic Deduplication — keep your tables clean, forever

For ongoing data flows, manual cleanup isn’t enough. That’s where automatic deduplication comes in.

You can now set rules that enforce uniqueness automatically.

Example:

• You’re importing new contacts every day from LinkedIn, a CRM, or another table. With automatic deduplication enabled on specific columns, Databar will prevent duplicates the moment they land.

• Your contact lists stay clean, your outreach campaigns avoid double‑sending, and your CRM never fills up with messy records.

👉 Think of it as auto‑pilot for data hygiene.

📂 Group Enrichment Columns

Working with wide tables can get messy fast. With the new Group Columns feature, you can now collapse multiple columns from an enrichment into a single grouped view. Enrichments can still be run in collapsed view and you can ungroup columns any time by clicking the double-arrow button in the top left of the group.

👉 Perfect for cleaning up busy tables and focusing only on the data that matters.

📊 Split Text to Columns

Have combined values like "John Doe, CEO" in a single cell? Now you can split them into separate Name and Title columns instantly. You can also select what value you want to split values by (can be a space (“ “), dash (-), comma (,) or any other character.

👉 A small tool that saves big.

🎛️ Cleaner Parameter Inputs

We’ve reorganized filters so the most critical ones are grouped together. Searching for companies and people is now faster and less overwhelming. You’ll notice that Employee count or Revenue estimate ranges in the filters will now be grouped into an “Employee count” parameter, instead of being two separate “Employees Max” and “Employees Min” inputs.

💰 Smarter Pricing Previews

Some enrichments are priced by the number of rows you request (via Limit or # Results).

Previously, we only showed the price for 1 result by default.

Now, the expected total price is displayed right in the enrichment sidebar before you run it — so you always know the exact cost upfront.

🔍 Views → Filters

The old “Views” (Success, No Data, Errors) are now integrated into the Filters panel. Cleaner layout, easier navigation.

⚡ Faster Enrichment Search

We’ve fine‑tuned our search algorithm to bring back better results, faster.

🔐 Streamlined Authorization

The Authorization menu has been tucked into a dropdown — still there when you need it, invisible when you don’t.

🤖 New AI Researcher Agent

Enrich your data with AI‑powered research across the web. Instead of looking at a single page, you can now feed the agent a prompt + list of links, and it will automatically:

• Visit each website

• Extract the information you asked for

• Return it in a clean, structured format

Examples of how you can use it:

• Give the agent a list of company websites → “Get their pricing model” → returns clear pricing tiers for each site.

• Upload a list of LinkedIn company pages → “Find the CEO” → returns CEO names and roles.

• Provide startup websites → “Check if they recently raised funding” → returns yes/no with details.

👉 Just tell the agent what you need, and it will enrich your tables for you.

Other bug fixes and improvements

• The enrichment side-bar will now close after you add an enrichment and your screen will automatically scroll to the columns that were added

• We’ve fixed many bugs & errors coming from data sources & APIs which have recently changed

• Scaled our infrastructure - we can now process larger batches of enrichments faster

• A brand new credit & billing system - check out that change log here.

🚀 Credit System V2

We’ve completely rebuilt how credits work in Databar.

🔒 Bank‑grade tracking

Our old system didn’t have a full ledger, which made it hard to analyze credit usage. Some users also ran into issues where credits were lost without data, or data was returned without credits being deducted.

We spent the past month rebuilding the credit system from the ground up. Now every credit is tracked with bank‑like security and transparency. At the end of August, all users will see credit analytics inside their workspace: full traceability of where credits were spent.

🔄 Credit Rollovers

We’re also introducing credit rollovers!

• Any unused credits on monthly plans will automatically roll over into the next month.

• Rolled over credits remain valid for one additional month before expiring.

• Quarterly and annual plans still get all credits upfront (so rollovers don’t apply).

📊 How it works

• Monthly plan example:

  You’re on Launch (1,000 credits/month). In Month 1 you only use 200. The 800 unused credits roll over.

  → In Month 2, you’ll have 1,800 credits (1,000 new + 800 rollover).

• Quarterly plan:

  Launch plan gives you 3,000 credits upfront. They expire at the end of the 3‑month term (or renewal).

• Annual plan:

  Launch plan gives you 12,000 credits upfront. They expire at the end of the annual term (or renewal).

📅 Add‑ons now sync with your billing cycle

Credit Add‑ons will now automatically align with your existing subscription:

• Monthly plans → Add‑ons are active for your current month, and any unused credits will roll over for one extra month (just like your base credits).

• Quarterly plans → Add‑ons stay valid for the length of your current 3‑month cycle.

• Annual plans → Add‑ons stay valid for the length of your annual cycle.

No more mismatched expirations or confusing timelines — add‑ons now fit seamlessly into your plan.

🔄 Self‑serve Plan Switching (From August 4)

You can now upgrade or downgrade your plan instantly from within Databar — no need to contact support.

✅ With Credit System V2, you now get:

• Transparent, bank‑grade credit tracking

• In‑workspace analytics (coming end of August)

• More flexibility with monthly credit rollovers