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Databar

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Databar is a data enrichment platform for importing, enriching, and syncing company and people data across spreadsheets, CRMs, outbound tools, APIs, and AI workflows.

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Data enrichment and activation for go-to-market teams

Databar.ai is a data enrichment platform for go-to-market teams that need to import, clean, enrich, and activate company and people data. The site describes it as a data layer for AI-native go-to-market work, with access to 100+ live data providers from a spreadsheet, API, or AI agent via MCP.

The product centers on building lists, enriching records with hundreds of data points, and sending the results into CRMs, outbound tools, analytics workflows, or custom integrations. The pricing page also shows plans for growing teams and agencies, plus an Enterprise tier for organizations that need custom credits, support, and SDK access.

Features

List building and data import

Import data from webhooks, CRMs, CSV files, or supported connectors, then create lists from scratch using filters and specialized databases.

Multi-source enrichment

Enrich companies, people, and websites with more than 450 data points and access to 100+ data providers through Databar's credentials.

Spreadsheet, API, and agent access

Use the platform from a spreadsheet, API, or AI agent via MCP, which gives teams several ways to fit Databar into existing workflows.

Waterfall enrichment and API network

Run waterfall enrichment to query multiple providers and increase coverage, and use the API Network to combine external data sources in one workflow.

Workflow export and sync

Sync enriched records into outreach tools, CRMs, webhooks, and custom APIs, with native two-way sync available for most connected systems.

AI research automation

Automate research with prebuilt agents or AI prompts to find company details, scrape the web, and generate contextual outputs for analysis or outreach.

Use cases

  • Prospecting and list building

    Build prospect or account lists from scratch using filters, specialized databases, and intent-style discovery workflows before passing the results into outbound tools.

  • CRM enrichment and maintenance

    Fill in missing firmographic, contact, and web-derived fields on company and people records, then push the cleaned data back into a CRM.

  • AI-assisted research

    Use prebuilt agents or AI prompts to scrape the web, summarize findings, and collect company details for research tasks that would otherwise require manual lookup.

  • Developer-led integrations

    Connect the API Network, custom APIs, or your own keys to route data through existing systems when the workflow needs programmatic control or custom logic.

  • Operational data workflows

    Run enrichment and export workflows across spreadsheets, outreach tools, and analytics platforms when teams need data refreshed and activated in more than one destination.

Pros and Cons

Pros

  • Combines multiple data providers behind one subscription.
  • Supports import, enrichment, automation, and export in one workflow.
  • Offers several entry points, including spreadsheet, API, and AI agent access.
  • Includes native two-way sync with most outreach tools and CRMs.
  • Shows both self-serve plans and an Enterprise option for larger teams.

Cons

  • Several capabilities are presented as available through connectors or docs, but the source does not fully show setup depth for every integration.
  • The pricing page indicates credits are part of the model, so usage needs to be managed across connectors, enrichments, and API requests.

FAQ

What does Databar do?

Databar is designed to connect data sources, enrich records, and push the results into spreadsheets, CRMs, outbound tools, or custom APIs. The site also describes use through a spreadsheet, API, or AI agent via MCP.

Does Databar have paid plans?

The pricing page shows Build, Scale, and Enterprise plans. Build starts at $99/month billed monthly, Scale starts at $495/month billed monthly, and Enterprise uses custom pricing.

Is there a free trial?

The pricing page says each workspace gets 100 free trial credits, which can be used toward API requests and enrichments.

Can Databar connect to CRMs and outbound tools?

The site says Databar supports native two-way sync with most outreach tools, CRMs, and custom APIs, and it also lists CRM and email integrations plus export via REST API.

How does Databar handle usage and credits?

The pricing page says credits apply to both connectors and enrichments, and you only pay for successful API requests that return data.

Quick Facts

Category
Data enrichment platform
Primary use
CRM enrichment, list building, and outbound data workflows
Access methods
Spreadsheet, API, AI agent via MCP
Plans
Build, Scale, and Enterprise
Pricing signal
Paid plans with a free trial credit allowance
Website
databar.ai