You open one tool to build the list. Another to find emails. Another to verify phone numbers. Another for company data. Four tools, four logins, four billing dashboards. Each with its own credit system, its own way of breaking when you're not looking.

GTM infrastructure shouldn't be a pile of disconnected APIs. That's why we built the Databar API, SDK, and MCP server. One connection, 100+ providers, 450+ enrichments. Build your campaign, find the right decision makers, verify their contact data, and push it straight into your outbound tool. All from one place.

build.databar.ai is live today.

What Shipped Today

build.databar.ai is the single entry point for every enrichment Databar offers. Find companies, find contacts, get verified emails, enrich company data, verify deliverability, reverse-lookup emails, pull LinkedIn profiles, detect tech stacks. All from one key.

Four ways to use it, depending on how your team works:

MCP Server

Works natively in Claude Code, Cursor, and Windsurf. Run entire outbound workflows in natural language. Tell it "find marketing leaders at Series B fintech companies and get their verified emails" and it handles the rest. Provider selection, waterfall logic, verification, all of it. Our Claude Code for GTM engineers guide covers how to set up full enrichment workflows end to end.

Python SDK

pip install databar. Full programmatic access with async support, waterfall management, and table operations. For teams building custom pipelines or embedding enrichment directly into their product.

CLI

Quick lookups from your terminal. Great for one-off checks and shell scripts.

REST API

Standard REST endpoints that work with any language or platform. Webhooks, async task polling, bulk operations.

What This Means in Practice

Here's a workflow that used to take multiple tools and a weekend of glue code. Now it runs in minutes.

You build a targeted company list by industry, headcount, tech stack, or region. Databar enriches every company with firmographics, revenue, funding history, and hiring signals. It finds decision makers at each company by role and seniority. Gets verified work emails and phone numbers for every contact. Then pushes everything to your CRM or outbound tool.

One API key. One billing dashboard. No CSV exports in between.

A Few Things That Matter at Scale

Caching. Every enrichment result is stored permanently in your account. Re-enrich the same contact six months later and you get the cached result instantly, at zero cost. For agencies running overlapping campaigns across clients, this changes the actual per-contact economics significantly.

Configurable rate limits and concurrency controls. Set how many simultaneous requests run and configure per-enrichment throttling to stay within provider limits.

Bulk enrichment. Up to 200,000 rows per batch job. Fire the job, get a job ID, poll for results when ready.

Who This Is For

Agencies. One Databar account, one API key, one billing relationship. Instead of managing separate tool subscriptions for every data provider.

RevOps teams maintaining CRM data quality. Schedule weekly re-enrichment runs to keep company and contact data fresh. Catch stale records before they cost you pipeline.

Growth teams running outbound at volume. Go from "I need 500 verified emails at Series B SaaS companies" to done in a single workflow.

Get Started

Already a Databar user? Your API key is waiting in your account settings.

New to Databar? Start a free 14-day trial at today! No sales call required. Full documentation, quickstart guides, and example workflows are all here: build.databar.ai

Tomorrow, Day 2 of Launch Week: New pricing. Three tiers, with all features available on every plan, starting at $99/month.