Databar

Databar is a data enrichment and integration platform designed to help go-to-market (GTM) teams build, refine, and activate high-quality prospect and company data for personalized outbound sales and marketing campaigns. The platform aggregates live data from over 100 third-party providers, allowing users to access verified people and company information through a single subscription, without needing multiple separate tools or accounts. Users can start by importing existing data from various sources such as CRMs (e.g., Salesforce, HubSpot), webhooks, or CSV files, or they can build fresh lists from scratch using more than 50 specialized databases combined with over 100 filtering criteria. These filters enable precise targeting based on industry, company size, job title, location, technology stack, funding stage, and many other attributes. Once a list is created, Databar offers a drag-and-drop interface where users can enrich their records with over 450 distinct data points covering companies, individual contacts, and website information. Data points include standard fields like email addresses, phone numbers, social profiles, and job roles, as well as advanced attributes like recent funding events, product usage signals, hiring trends, and technographic details. The enrichment process is powered by both traditional data providers and AI agents, which can automatically resolve ambiguous records, append missing fields, and validate accuracy against multiple sources. After enrichment, users can seamlessly export the enriched data to their CRM, sales engagement platform, marketing automation tool, or any other outbound system via standard integrations or API calls. Additionally, Databar supports MCP (Model Context Protocol), enabling AI agents and large language models to di