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Databar.ai

Vendor: Databar.ai

Databar.ai is a GTM data platform for researching companies and people, enriching records through provider waterfalls, and automating reusable data workflows.

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Overview

Databar.ai combines tables, enrichment, provider waterfalls and reusable flows in a workspace for go-to-market data operations. Teams can search and enrich company and contact records using 100+ data sources, chain providers with automatic fallback, build conditional workflows with AI steps, and run them on tables or through the API and agent tools. The platform documents a REST API, Python SDK, CLI and hosted MCP server. Its homepage describes two-way sync with HubSpot, Pipedrive and Attio, plus exports to Salesforce, Close and outreach tools; the catalogue lists more than 160 integrations and enrichments. Current monthly pricing is Build at $99/month for 5,000 credits and Scale at $495/month for 50,000 credits; annual billing is advertised at 12% savings, and Enterprise pricing is custom. Each workspace receives 100 free trial credits, and current official launch material specifies a 14-day free trial. A verified n8n node and native Attio app were announced in April 2026; later 2026 updates cover product workflows and waterfall performance.

Key Features

Company and contact data research

Search company and person records with firmographic, funding, hiring and technology signals, then enrich table columns using the data providers available in the catalogue.

Waterfall enrichment

Chain multiple data providers with automatic fallback so later providers can be tried when an earlier lookup does not return usable data; failed/no-data calls are not billed.

Tables and data workflows

Work with structured rows and columns, deduplication, formulas, data transformations and exports in a visual workspace.

Flows and conditional automation

Build reusable flows with triggers, enrichment and AI steps, branching/if-else logic and routing; run them on tables, schedules or through integrations.

REST API and developer tools

Use documented REST endpoints for tables, enrichments, waterfalls, flows and tasks; Databar also documents a Python SDK, CLI and hosted MCP server.

Provider keys and custom APIs

Use supported providers through subscription credits or bring eligible provider API keys. Build offers up to five custom HTTP APIs; Scale lists unlimited HTTP APIs and BYO keys.

CRM and outreach connections

The homepage describes two-way sync with HubSpot, Pipedrive and Attio, and pushes to Salesforce, Close and outreach tools; individual catalogue connectors may require authentication.

Credit and run controls

Monthly Build and Scale plans include 5,000 and 50,000 credits respectively; annual billing advertises 12% savings. The page says monthly credits roll over for one month and failed/no-data API requests are not billed.

Pros & Strengths

  • ✓
    Broad provider catalogue and waterfall workflow: The official catalogue advertises 160+ integrations/enrichments, and waterfall steps can try multiple data providers with automatic fallback.
  • ✓
    Composable automation options: Flows, tables, conditionals and AI steps support reusable enrichment and routing workflows.
  • ✓
    Multiple developer/agent surfaces: The docs cover REST API, Python SDK, CLI and MCP options in addition to the workspace UI.
  • ✓
    Monthly tiers with clear credit allowances: Build and Scale publish monthly credit amounts, and the pricing page says failed/no-data requests are not billed.

Cons & Tradeoffs

  • ⚠
    Credit-based usage model: Monthly plans allocate 5,000 Build credits or 50,000 Scale credits, so buyers should check provider and workflow credit costs against expected volume.
  • ⚠
    Scale/Enterprise needed for some capacity: Unlimited HTTP APIs/BYO keys and dedicated infrastructure are listed under Scale; Enterprise adds custom credits, personal support and SDK access.
  • ⚠
    Integration setup may vary: The catalogue marks some connectors as requiring authentication, and integrations can differ in direction and setup. Confirm the specific CRM/outreach workflow before purchase.
  • ⚠
    Limited independent review sample: G2 currently displays 10 reviews; Capterra reports no user reviews, and an attributable TrustRadius profile/rating was not verified.

Known Limitations

  • • Credits are plan-limited; confirm credit cost per provider/flow and expected monthly volume.
  • • The current page advertises annual billing savings but does not expose exact annual prices in the page text reviewed.
  • • Some connectors require authentication and the sync direction differs by integration.
  • • SDK access is listed with Enterprise on current pricing; verify whether a different tier or arrangement applies before relying on it.

Review-platform snapshot

Third-party review evidence is limited. G2 displays 5.0/5 from 10 reviews, with summary themes including support and ease of use; the small sample also includes a few tags about learning curve, data accuracy or the credit system. Capterra lists Databar but shows zero user reviews. An exact TrustRadius product profile/rating could not be verified. G2 alternatives were checked for cross-shopping context only; no competitor claims are included.

Review profiles checked: 2026-09-30

Pricing & Plans

Model: freemium
USD99 /month

Build: $99/month billed monthly with 5,000 credits/month. Scale: $495/month billed monthly with 50,000 credits/month. Annual billing is advertised as saving 12%; exact annual prices are not stated on the current page text reviewed. Enterprise pricing and credit volume are custom. Each workspace gets 100 free trial credits; official launch material specifies a 14-day free trial. Credits refresh monthly on monthly plans, and monthly-plan credits roll over one month. Failed/no-data requests are not billed.

✓ Free Plan ✓ Free Trial

Pricing verified: 2026-09-30

Editorial Info

Last Reviewed: 2026-09-30

Verified Sources & Research

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