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Change log

Follow new updates and improvements to Databar.ai.

We've updated our terms.

On 1 October 2026 our new Terms of Service, Privacy Policy and Data Processing Addendum take effect. They replace our 2021 Terms of Service and Privacy Policy; the Data Processing Addendum is published publicly for the first time.

By continuing to use Databar after 1 October 2026, you agree to them.

Terms of service: https://databar.ai/terms-of-service

Privacy Policy: https://databar.ai/privacy-policy

Data Processing Addendum (DPA): https://databar.ai/dpa

Your plan and pricing are not changing. If you have a signed Enterprise agreement or custom Order, it takes precedence where the two conflict.

To view a copy of our previous terms, please reach out to us at info@databar.ai.

One table, many sources: attach CRMs, webhooks, and CSVs to a single table

Until recently, a table's data source was decided the moment you created it. That constraint was removed at the end of June.

πŸ”— Multi-source tables

You can now attach multiple data sources to a single table: a CRM connection, a webhook, a CSV, or all three at once, each syncing live into the same rows. Start with a blank table and make it CRM-synced later. Add a webhook to a table that started as an import. Your table stops being a snapshot and becomes the living, always-current version of that data source.

And you can see and control all of it from one place. Every attached source appears as a card in the table's sources sidebar: its logo, name, sync status, and when it last synced. Pause or resume a source with one click, hit "sync now" when you don't want to wait, set a schedule per source, and backfill existing rows when you attach something new.

When something stops flowing, you'll know which source and why at a glance, instead of digging through settings.

πŸ”Ž A rebuilt "Start a new project"

We replaced our previous click-based project builder to one that prioritizes search and discoverability.

  • Search-first. One search box across every connector, template, and import option.

  • Properly grouped. Results and browsing are organized into clean, tag-based sections, with featured options up front and niche ones behind them, so the common paths are one click and the long tail is still findable.

  • Suggestions as you go. The page surfaces relevant options as you type and explore, so you can start from a vague idea and land on the right source without knowing its name in advance.

⚑ Introducing Lightning Templates

Lightning templates auto-configure as you go: open one and it activates instantly with its data source, columns, and a β€œTry now” sidebar which guides you through the setup lets you drop in your own data, or upload a CSV to enrich instantly. Use these when you need to run a quick enrichment without setting up a table and configuring enrichments.

Re-introducing pre-built lists

Pre-built lists went on a brief hiatus and are now back. You can once again one-click install pre-built databases of companies and people into your workspace.


About Databar

Databar replaces your go-to-market data stack with one platform. Search companies, people, and jobs, monitor the web for signals, and enrich it all with 160+ data sources and waterfalls. Wire everything into reusable automations that run on a schedule, on your tables and CRM data, or by an AI agent. App, API, MCP server, SDK, and CLI included on every plan.

Introducing the data catalog: never pay for the same data twice

Think about how much of your data spend is repeat purchases. You enriched that company in January. A teammate enriched it again in March from a different table. Your inbound flow enriched it a third time when they filled out a form. Same company, same answer, three charges. Across a whole workspace, that's not a rounding error; it's one of the biggest hidden costs in data enrichment, and every tool in the industry quietly profits from it.

The Databar data catalog ends it.

πŸ—‚οΈ Your workspace now remembers the data you've bought

Once enabled, every enrichment result your workspace pulls goes into your data catalog. When the same lookup comes up again, anywhere, Databar serves the answer from your catalog instead of charging you for a fresh one. Not per table. Not per user. Workspace-wide.

That changes the economics of how you work:

  • Enrich overlapping lists freely. Your outbound list, your inbound leads, and your CRM sync can all touch the same companies without triple-paying for the overlap.

  • Re-run without re-buying. Refresh a table and you only pay for what's actually new; rows you already have come from the catalog.

  • Add teammates without multiplying spend. Everyone works across their own tables, but the workspace buys each piece of data once.

  • Let agents and automations run guilt-free. Flows, API calls, and MCP agents hitting the same lookups draw from the catalog instead of the meter, which is exactly what you want when automation is doing the running.

You pay for a piece of data once. After that, it's yours. The data catalog is available on the Scale plan, built for teams running at volume, where duplicate lookups quietly add up to real money.

βš–οΈ The same fairness applies to every single request

  • No data, no charge. If an enrichment errors out or comes back empty, you don't pay for it.

  • Refunds on partial results. Request 5 results at 5 credits each and only get 1 back? The 20 unused credits are refunded automatically. No support ticket, no action needed.

πŸ“Š See where every credit goes

A credit history view in your workspace breaks consumption down by enrichment and over time, so you can spot what's costing you and keep usage on track.

See the new plans


About Databar

Databar replaces your go-to-market data stack with one platform. Search companies, people, and jobs, monitor the web for signals, and enrich it all with 160+ data sources and waterfalls. Wire everything into reusable automations that run on a schedule, on your tables and CRM data, or by an AI agent. App, API, MCP server, SDK, and CLI included on every plan.

Earlier updates