Databar.ai combines 160+ data providers, waterfall enrichment and an AI research agent for GTM teams. Plans start at $99/month with free trial credits.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Databar.ai is a data enrichment platform built for go-to-market teams. It brings company and contact data from more than 160 providers into one workspace, so users do not need a separate subscription for each source. Teams use it to find target accounts, fill in missing CRM fields, research companies, and watch for buying signals.
The product is run by Databar, Inc. and positions itself as the data layer for modern GTM. Besides the spreadsheet-style workspace, it offers a REST API, an SDK and CLI, and a hosted MCP server, so people and AI agents can work from the same data.
Users import a list or build one with search filters, then add enrichment columns. Each column pulls a data point such as funding, employee count, tech stack, hiring, traffic, reviews, or news. All providers are metered through one credit system, and the full result count is shown before credits are spent.
For contact data, a waterfall tries providers in sequence until a verified email, phone number, or company record comes back. Skipped providers and misses cost nothing. When no provider has the answer, the AI Research Agent browses the live web and returns structured columns with cited sources.
Search goes beyond industry and headcount. Filters cover funding by investor, hiring by function, and technology mentioned in job posts. Signal monitoring tracks funding rounds, hiring spikes, job changes, and stack adoption. Flows let teams chain triggers, enrichment steps, AI agents, and if/else routing that run on tables, schedules, or signals.
Output options are broad. Finished tables sync two ways with HubSpot, Pipedrive, and Attio, and push to Salesforce, Close, and outreach tools. The same data is available through a REST API, SDK, CLI, or hosted MCP server. Teams can bring their own provider keys and connect custom APIs through a web form.
Databar.ai is a data enrichment workspace for go-to-market teams. It combines 160+ data providers, waterfall lookups, an AI research agent, and automated flows. Results can be used in a spreadsheet, API, or MCP server.
Build costs $99 per month for 5,000 credits, and Scale costs $495 per month for 50,000 credits. Enterprise pricing is custom. Annual billing saves 12%.
Yes. Each workspace gets 100 free trial credits for API requests and enrichments, and the site says no credit card is required to start. More trial credits can be requested by emailing info@databar.ai.
No. Databar.ai charges only for successful API requests. Requests that return no data or an error are not charged, and in waterfall enrichment, misses cost nothing.
It syncs two ways with HubSpot, Pipedrive, and Attio, and pushes data to Salesforce, Close, and outreach tools. It also connects to 160+ data providers such as People Data Labs, Hunter.io, and BuiltWith. Custom APIs can be added.
On monthly subscriptions, credits roll over for one month. Annual and quarterly subscriptions receive the full 12-month or 3-month credit allotment up front.
Yes. Databar.ai offers a hosted MCP server, a REST API, and an SDK and CLI. Agents can use the same tables that teams work with in the spreadsheet interface.
It suits sales, growth, and RevOps teams, agencies, and GTM engineers who need enrichment from many sources. Teams that only need one data source may not need this breadth.