# Databar

> Databar is the data layer for AI-native Go-To-Market teams. It gives sales, marketing, and RevOps teams a single platform to enrich contact and company records, build prospect lists from scratch, and automate data pipelines — without writing code or managing multiple API subscriptions. One subscription includes access to 100+ live data providers (worth ~$12k/year individually), accessible from a spreadsheet-style UI, REST API, Python SDK, CLI, or directly inside AI agents via MCP. Common workflows include: enriching a HubSpot contact list with emails and job titles, building a list of recently funded companies in a specific vertical, finding emails for a batch of LinkedIn URLs using waterfall enrichment across multiple providers, scoring and qualifying inbound signups with AI, and running enrichment pipelines from inside Claude or other LLM tools via MCP.

## Main Site

- [Home](https://databar.ai): Platform overview, use cases, and key features
- [Integrations](https://databar.ai/integrations): Browse 200+ API connectors and data sources
- [Pricing](https://databar.ai/pricing): Plans — Build ($99/mo, 5k credits), Scale ($495/mo, 50k credits), Enterprise (custom). Credits are consumed per enrichment call. All plans include the API network — no separate provider subscriptions needed.
- [Blog / The Column](https://databar.ai/blog): Playbooks, GTM guides, success stories, and product announcements
- [Templates](https://databar.ai/templates): Pre-built workflow templates for common GTM use cases
- [Chrome Extension](https://databar.ai/chrome-extension): Free browser extension to collect data from any website into Databar

## Product Documentation

Full product docs at [docs.databar.ai](https://docs.databar.ai).

### Getting Started
- [What is Databar?](https://docs.databar.ai/product-guide/what-is-databar.md): Platform overview — UI, API, SDK, CLI, and MCP
- [REST API Quickstart](https://docs.databar.ai/quickstart-rest.md): Make your first API call in under 5 minutes
- [Authorization & API keys](https://docs.databar.ai/product-guide/authorization.md): How authentication works for data providers

### Core Product Features
- [Tables](https://docs.databar.ai/product-guide/tables-overview.md): Create, configure, and work with spreadsheet-style tables
- [Enrichments](https://docs.databar.ai/product-guide/enrichments.md): Populate tables with data from third-party providers
- [Waterfalls](https://docs.databar.ai/product-guide/waterfalls.md): Chain multiple providers with automatic fallback for maximum coverage
- [AI Researcher](https://docs.databar.ai/product-guide/ai-researcher.md): AI agents that research and enrich data from across the web
- [AI Prompts](https://docs.databar.ai/product-guide/ai-prompts.md): Generate and reuse AI prompt templates across your workspace
- [Automations](https://docs.databar.ai/product-guide/automations.md): Schedule and automate enrichment runs
- [Exporters](https://docs.databar.ai/product-guide/exporters.md): Push data to CRMs and external destinations
- [Webhooks](https://docs.databar.ai/product-guide/webhooks.md): Receive data from external services into Databar tables
- [Chrome Extension](https://docs.databar.ai/product-guide/chrome-extension.md): Collect data from any website directly into Databar
- [Custom HTTP APIs](https://docs.databar.ai/product-guide/custom-apis.md): Add your own REST APIs as custom enrichments or exporters
- [Import Data](https://docs.databar.ai/product-guide/import-data.md): Bring data in via CSV, integrations, or webhooks
- [Run Conditions](https://docs.databar.ai/product-guide/run-conditions.md): Control which rows get enriched using conditional logic
- [Columns](https://docs.databar.ai/product-guide/columns.md): Column types, management, and grouping
- [Excel Formulas](https://docs.databar.ai/product-guide/formulas.md): Use familiar spreadsheet formulas in Databar tables
- [JQ Formulas](https://docs.databar.ai/product-guide/jq-formulas.md): Parse, filter, and manipulate JSON fields
- [JSON Expander](https://docs.databar.ai/product-guide/json-expander.md): Extract values from JSON columns into separate columns
- [Table Lookup](https://docs.databar.ai/product-guide/table-lookup.md): Pull matching values from another table (like VLOOKUP)
- [Merge Columns](https://docs.databar.ai/product-guide/merge-columns.md): Combine columns with smart fallback logic
- [Deduplication](https://docs.databar.ai/product-guide/deduplication.md): Remove duplicate rows manually or automatically
- [Credits & Billing](https://docs.databar.ai/product-guide/credits-and-billing.md): How credits work and how to manage them
- [n8n Integration](https://docs.databar.ai/product-guide/n8n-integration.md): Connect Databar to n8n workflows
- [Invite Your Team](https://docs.databar.ai/product-guide/invite-your-team.md): Add team members to collaborate on tables and workflows
- [Workspace Settings](https://docs.databar.ai/product-guide/workspace-settings.md): Configure workspace and preferences
- [Debug Requests](https://docs.databar.ai/product-guide/debug-requests.md): Understand enrichment statuses and troubleshoot errors

### MCP Server (AI Agent Integration)
- [MCP Server Overview](https://docs.databar.ai/mcp-server.md): Connect AI assistants like Claude to Databar's enrichment API
- [MCP Configuration](https://docs.databar.ai/mcp-configuration.md): Environment variables, safe mode, caching, and data retention
- [Agent Skills](https://docs.databar.ai/mcp-skills.md): Pre-built workflow skills that teach AI agents how to use Databar
- [Single Enrichment](https://docs.databar.ai/mcp-skill-enrichment.md): Look up a person, company, email, or phone number
- [Bulk Enrichment](https://docs.databar.ai/mcp-skill-bulk.md): Enrich up to 100 records in a single operation
- [Waterfall Enrichment](https://docs.databar.ai/mcp-skill-waterfall.md): Try multiple providers in sequence via MCP
- [Table-Driven Enrichment](https://docs.databar.ai/mcp-skill-table.md): Create a table, insert rows, run enrichment, and get a shareable link
- [Available MCP Tools](https://docs.databar.ai/mcp-tools.md): Complete list of tools exposed by the Databar MCP server

### Developer Tools
- [Developer Guide](https://docs.databar.ai/developer-guides.md): Enrich, transform, and manage data via API, SDK, CLI, or MCP
- [REST API Reference](https://docs.databar.ai/api-reference/introduction.md): Full endpoint reference for the Databar REST API
- [Python SDK](https://docs.databar.ai/python-sdk.md): Official Python SDK — install and start enriching in minutes
- [CLI Reference](https://docs.databar.ai/cli.md): Run enrichments, manage tables, and automate workflows from the terminal
- [OpenAPI Spec](https://docs.databar.ai/api-reference/openapi.json): Machine-readable OpenAPI specification

### Developer Guides
- [Enrich a List of Leads](https://docs.databar.ai/guides/enrich-leads.md): Pull company data, emails, and phone numbers for a batch of leads
- [Table Enrichment Pipeline](https://docs.databar.ai/guides/table-enrichment-pipeline.md): Create a table, add rows, attach an enrichment, and run it via API
- [Waterfall Email Finder](https://docs.databar.ai/guides/waterfall-email-finder.md): Find verified emails by trying multiple providers with automatic fallback

## Changelog & Roadmap

- [Changelog](https://feedback.databar.ai/changelog): Product updates and release notes
- [Roadmap](https://feedback.databar.ai/roadmap): Upcoming features and planned work
- [Feedback](https://feedback.databar.ai): Submit feature requests and bug reports

## Key Use Cases

- **Email enrichment**: Find verified work emails for a list of contacts by running waterfall enrichment across Hunter.io, Prospeo, FindyMail, Aeroleads, and others in sequence
- **CRM enrichment**: Nightly-scheduled jobs to keep HubSpot or Salesforce contacts up to date with fresh firmographics, job titles, and company data
- **List building from scratch**: Build prospect lists using intent signals — job postings, funding events, tech stack, recent hires, and more
- **Outbound personalization**: Pull recent news, LinkedIn activity, or company milestones per contact to generate hyper-personalized outreach at scale
- **Inbound lead scoring**: Automatically research and score new signups or call bookings using AI enrichment and conditional logic
- **AI agent tooling**: Use Databar as a data enrichment tool inside Claude, GPT-4, or other LLMs via MCP — look up companies, find emails, run waterfalls
- **Tech stack targeting**: Identify companies using specific technologies (via BuiltWith or Wappalyzer) and build targeted lists
- **Lookalike prospecting**: Find companies similar to your best customers using Ocean.io or Diffbot company profiles

## Data Providers (with data types)

| Provider | What it returns |
|----------|----------------|
| People Data Labs | Emails, phone numbers, job titles, LinkedIn URLs, firmographics, education history |
| Hunter.io | Verified professional email addresses from company domains |
| Apollo | B2B contacts with direct emails, phone numbers, and hiring/intent signals |
| Diffbot | Structured company profiles, people records, and article text extracted from the web |
| BuiltWith | Website technology stack — CMS, analytics, hosting, marketing tools |
| Wappalyzer | Tech stack detection plus company contact details and social profiles |
| Owler | Competitor lists, funding history, investor details, company news |
| Outscraper | Google Maps listings, reviews, ratings, and location data |
| Store Leads | Shopify/WooCommerce store details, revenue estimates, app usage |
| Ocean.io | Lookalike companies and AI-powered firmographics |
| Aeroleads | Emails and phone numbers from LinkedIn profiles or company domains |
| Snov.io | Email finder and verifier, prospect list builder |
| Emailable / Bouncer | Email verification and list cleaning — bounce risk, deliverability scores |
| ipinfo.io | IP geolocation, ISP, network owner, threat flags |
| GitHub | Public repos, contributors, issues, commits, and workflow data |
| OpenAI | AI-powered extraction, summarization, classification, and code generation |
| Tweetscraper | Emails from X/Twitter profiles, followers, and post engagers |
| HubSpot | CRM contacts, companies, deals, tickets (two-way sync) |
| Databar Labs | Pre-built no-code web scrapers — scrape, enrich, schedule, and export |

## CRM & Outbound Integrations

HubSpot, Salesforce, Pipedrive, Close CRM, HighLevel, Reply.io, Instantly, Smartlead, Webhooks, n8n

## Pricing Summary

| Plan | Price | Credits |
|------|-------|---------|
| Build | $99/mo | 5,000/mo |
| Scale | $495/mo | 50,000/mo |
| Enterprise | Custom | Custom |

All plans include access to the full API network — no separate provider subscriptions needed. Credits reset monthly (or annually on annual plans). Failed requests are not charged.