Chief Revenue Buddy
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Lusha review

Simple, self-serve B2B contact data with a free tier.

Prospecting & dataFree planNew York, NY
7.4CRB scoreVisit Lusha
Lusha product screenshot
The verdict

An easy on-ramp to prospecting data without an enterprise contract.

Best for: Individual reps and small teams who want quick, cheap contact data.

AI-stack fit

85/100

Lusha ships an official vendor-built MCP server, available as a local server (lusha-oss/lusha-public-api-mcp) and a managed remote endpoint at mcp.lusha.com, backed by a RESTful V3 API with Person, Company, and Prospecting endpoints. Agents can drive Lusha through MCP directly or via the documented REST API.

MCP support

Official MCP server

Public API

REST API

Works with
Zapier / MakeSalesforceHubSpot

What's good

  • Easy to start with a usable free plan
  • Clean Chrome extension and CRM pushes

What's not

  • Coverage thinner outside core markets
  • Credit limits on lower tiers

Lusha pricing

Free, paid from $37.45/user/mo (billed annually). Verified 2026-06-04.

PlanPriceBest for
Free$0Light use, 40 credits/mo.
Starter$37.45/user/mo (billed annually) or $49.90/mo monthlyMore credits and lists.

Who Lusha is for

Lusha is for the individual rep or small team that wants verified contact data without signing an enterprise contract. If you live in your browser, find a prospect on LinkedIn or a company site, and want a direct dial or work email in one click, Lusha gives you that with one of the lowest barriers to entry in the category. SDRs who prospect by phone, recruiters with light contact needs, and founders running their own outbound are the core buyers. The free tier and a clean self-serve signup mean you can start using it the same afternoon you find it.

It is a worse fit if you are building a programmatic enrichment pipeline or running high-volume, multichannel outbound. Lusha's sequencing tool, Engage, is email only, so phone, social, and SMS need separate tools. Coverage is also strongest in North America and thins out in EMEA and APAC. If your prospecting lives in Europe, a vendor like Cognism that built around GDPR-compliant mobile data will serve you better. If you want enrichment plus sequencing in one platform, Apollo covers more ground for a similar price.

What Lusha actually does

At its core Lusha is a B2B contact database you query through a browser extension or a web app. The extension works across LinkedIn, company websites, Gmail, and your CRM, surfacing a verified email or phone number in context as you browse. That in-the-flow capture is the feature most people sign up for, and it is genuinely fast. Lusha claims a 280M-plus direct dial database, which is one of the larger phone-number collections around and the reason phone-first teams gravitate to it.

Around the data, Lusha has bolted on Engage for email sequencing, Buying Signals for Bombora-powered intent, AI Recommendations for lookalike contacts, and Flex Search for natural-language prospecting. Compliance is a real strength worth naming: GDPR, CCPA, SOC 2, and ISO 27701 certifications apply on every plan, including the free one, which removes a common objection early in regulated industries.

The honest weaknesses matter before you commit. The email database, at roughly 152M records, is smaller than what ZoomInfo or Apollo carry, so match rates outside core markets disappoint. Buying Signals tell you which companies are researching a topic, not which contacts are. And Engage lacks the deliverability tooling (inbox placement testing, domain health, mailbox rotation) that teams sending 100-plus emails a day need to stay out of spam.

Where Lusha lands on AI-stack fit

Lusha scores 85 on the Chief Revenue Buddy AI-stack-fit scale, a strong result driven by an official MCP server backed by a solid REST API. Lusha ships a vendor-built MCP server in two flavors: a local MCP server (open-sourced at github.com/lusha-oss/lusha-public-api-mcp) and a fully managed remote MCP endpoint at mcp.lusha.com, documented at docs.lusha.com/mcp. That means you can point Claude or Codex at Lusha and have an agent drive enrichment and prospecting directly, without writing the integration glue yourself.

Under the MCP layer sits the RESTful API (V3), with Person, Company, and Prospecting endpoints under api.lusha.com/v3. It supports bulk enrichment of up to 100 records per request and rate-limits at around 25 requests per second, and full API access opens up on the paid tiers. There is no GraphQL. Between the official MCP server and the documented REST API, Lusha gives agent-driven and engineer-built workflows a clean path, which is why it lands near the top of the prospecting field on AI-stack fit.

Pricing notes

Lusha is credit-based and sells per user. The free plan gives a small monthly credit allowance (around 40 credits a month) plus the extension, which is enough to test coverage on your real territory before paying anything. Paid tiers step up from the Starter plan at $37.45 per user per month billed annually ($449.10 per year), or $49.90 per user per month billed monthly, with higher tiers unlocking more credits, list features, and fuller API access. Every reveal burns credits, and phone numbers cost several times what an email does, so a phone-heavy team drains an allowance far faster than the seat price suggests.

That credit math is the catch. Two teams on the same plan can have very different effective costs depending on how many phone reveals they run, and scaling teams routinely hit caps that force a tier upgrade within the first year. Annual billing is cheaper per seat but locks your credits, and monthly billing costs more. Lusha has also reshuffled its tier names and credit allowances more than once, so check the current numbers and credit allowances on Lusha's pricing page before you commit rather than trusting any figure quoted secondhand.

The verdict

Lusha is the right call when you want quick, affordable contact data and you are not ready for an enterprise data contract. The free tier, the in-browser capture, and the compliance coverage make it an easy on-ramp to prospecting. Go in clear-eyed about the credit burn and the thinner coverage outside North America, and treat it as a data source rather than a full outbound platform.

If you outgrow it, look at Apollo for enrichment and sequencing in one place, or ZoomInfo when you need the deepest dataset and can fund it. See the full best prospecting roundup for the head-to-head.

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