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Databar

Databar (databar.ai) is the data layer for go-to-market teams and AI agents. It connects 160+ integrations, including 100+ data providers, in one workspace: search for companies, people and jobs, enrich records with emails, phones, firmographics, technographics and signals, run waterfall enrichment across several providers, and research the web with AI. It is also the place where that data is centralized and automated: tables hold data from any source, flows chain enrichments with branching and

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For agents: Databar, a data enrichment platform for GTM teams and AI agents with 160+ integrations, accessible via UI, API, SDK, CLI and MCP, with OpenAPI docs.

data enrichmentgo-to-market datawaterfall enrichmentmcp serverlead data api

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AI and machine learning · Data and analytics · AI agents and MCP · APIs and SDKs
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Read documentation Call an API Search content Download data About these labels
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developers · agents can: read docs, call api, search content, download data · en
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2026-10-19T10:43:03.571Z
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# Databar

> Databar (databar.ai) is the data layer for go-to-market teams and AI agents. It connects 160+ integrations, including 100+ data providers, in one workspace: search for companies, people and jobs, enrich records with emails, phones, firmographics, technographics and signals, run waterfall enrichment across several providers, and research the web with AI. It is also the place where that data is centralized and automated: tables hold data from any source, flows chain enrichments with branching and cost previews, automations run on schedules, triggers and conditions, and exporters write the results back to your CRM, spreadsheet or outreach tool. Everything is available in a spreadsheet-style app, a REST API, a Python SDK, a CLI, a hosted MCP server, a native n8n node, a native Attio app and a Chrome extension. Pricing is credit-based and you only pay for requests that return data.

## About Databar

Databar was founded in 2021 by David Abaev. It is bootstrapped and has grown on customer revenue rather than outside funding, which keeps the roadmap tied to what customers ask for. It replaces a stack of separate data subscriptions with one subscription and one set of credentials. Two numbers describe the catalog and they mean different things:

- 160+ integrations: everything Databar can connect to, including data providers, CRMs, outreach sequencers, spreadsheets, AI models, web scrapers, webhooks and your own HTTP APIs
- 100+ data providers: the subset of integrations that return enrichment data, such as contact finders, email verifiers, company and people databases, intent and signal sources, technographics, scrapers and AI models

Every data provider can be used with Databar's own credentials, so an agent or a user never needs an account with the provider. Requests are paid in credits, and a request that returns no data or errors is not charged. For providers that support it, you can also bring your own API key; requests made with your own key cost 0 credits.

Proof points: 1,000+ customers, rated 5.0 on G2 and 5 out of 5 on Product Hunt, 160+ integrations, 100+ data provider partners. Published customer results include OnHires cutting research time by 80%, Shary lifting reply rates 3.1x, and Pryzma automating two lead-generation roles; the [case studies](https://databar.ai/company/our-customers) have the details.

Security and data handling: a SOC 2 audit is in progress as of September 2026. Data handling, retention and GDPR terms are described in the [privacy policy](https://databar.ai/privacy-policy).

Support: info@databar.ai. Sign up: https://databar.ai/registration (14-day full-product trial with 100 credits; no data, no charge).

## Main site

- [Home](https://databar.ai): Platform overview, use cases and key features
- [Integrations catalog](https://databar.ai/integrations): Browse the 160+ integrations and 100+ data providers, with the enrichments each one offers
- [Templates](https://databar.ai/explore/templates): Pre-built ta
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