B2B 데이터 제공업체, 솔직하게 비교했어요.
Every vendor claims the biggest database and the best accuracy. Both claims are unfalsifiable as stated. Here’s a framework that replaces them with questions you can actually test, including on us.
By Argorant
Reviewed and updated August 20, 2026 by Argorant
Why headline numbers mislead
The category sorts itself by total record count: ZoomInfo and Apollo each advertise databases in the hundreds of millions, Cognism leads with European depth, Lusha and Hunter with simplicity, and Argorant’s own number is 630.7M contacts across 202 countries. None of these figures, including ours, answers the question you’re actually asking: whether the database covers the eight thousand companies you sell to, with mailboxes that still exist. A vendor can lead a global count and be thin in mid-market German manufacturing; a smaller database can be dense exactly where you operate. Total size tells you about the vendor’s collection ambitions, not your hit rate.
So the first rule of evaluation: ignore the brochure and test coverage against your real market. The rest of this guide is the checklist for doing that, in the order the questions matter.
Current pricing and access map
A useful comparison needs the monthly price, the annual monthly equivalent, the included usage, and the programmatic-access rule. The snapshots below were checked on August 20, 2026. They are not affiliate summaries. Each card links to the vendor page used.
- 100크레딧이 포함된 7일 무료 체험.
- Starter: 월 $99, 또는 연간 결제 시 월 $79 (연락처 5,000명).
- Pro: 월 $249, 또는 연간 결제 시 월 $199 (연락처 25,000명).
구매자가 견적 전용으로 시작하지 않고 투명한 한도, 대량 연락처 검색, 내보내기 제어, AI 에이전트 접근을 원할 때 가장 좋아요.
- Free 플랜: $0, 시트당 연간 900크레딧.
- Basic: 월 단위 $65에 매월 2,500크레딧, 또는 연간 결제 시 시트당 월 $49에 연간 30,000크레딧.
- Professional: 월 단위 $99에 매월 4,000크레딧, 또는 연간 결제 시 시트당 월 $79에 연간 48,000크레딧.
팀이 잠재 고객 데이터와 아웃바운드 워크플로를 하나의 작업 공간에서 원할 때 가장 좋아요. 구매자에게 검증된 데이터와 유연한 내보내기나 MCP 사용만 필요하다면 덜 맞아요.
- Free는 매월 50크레딧과 무제한 사용자를 포함해요.
- Starter: 월 단위 $49에 매월 2,000크레딧, 또는 월 환산 $34에 연간 24,000크레딧.
- Growth: 월 단위 $149에 매월 10,000크레딧, 또는 월 환산 $104에 연간 120,000크레딧.
이메일 찾기와 검증이 주 업무일 때 가장 좋아요. 기업 인텔리전스, 연락처 깊이, 내보내기, 에이전트 사용이 더 중요하다면 Argorant가 더 강해요.
- Free는 매월 40크레딧을 포함해요. 연간 결제 시 Starter는 연간 4,800크레딧에 월 $37.45, Pro는 7,200크레딧에 $48.95, Premium은 40,800크레딧에 $259.95예요.
- 월 단위 정가는 Starter $49.90, Pro $69.90, Premium $399.90이고, Scale은 맞춤형이에요.
- 공개된 규칙에 따르면 검증된 이메일 1개는 1크레딧, 전화번호는 5크레딧, CSV/API 결과 1-25행 묶음은 1크레딧이에요.
이메일, 전화번호, API, CSV, AI 작업 전반에서 같은 워크플로를 비교하세요. 잔액 하나는 단순하지만, 전화번호가 이메일의 다섯 배 비용이라면 쓸모 있는 결과당 비용이 크게 달라져요.
- 무료 체험: 7일간 $0, 5크레딧.
- Essentials: 월 단위 $99에 매월 170크레딧, 또는 월 환산 $74에 연간 2,040크레딧.
- Plus: 월 단위 $199에 매월 400크레딧, 또는 월 환산 $149에 연간 4,800크레딧.
구매자는 크레딧, 추가 크레딧 가격, 검증된 전화번호, API 접근, 내보내기 워크플로를 Argorant의 대량 연락처 사용 사례와 비교해야 해요.
- Free: 사용자 1명, 50크레딧, $0.
- 최소 월 200크레딧 설정에서 Pro는 월 단위 $20, 또는 연간 결제 시 월 $15로 연간 2,400크레딧이고, 사용자는 최대 5명이에요.
- 실시간 슬라이더는 매월 6,750크레딧에 월 단위 $290.25, 또는 연간 결제 시 월 $217.69까지 올라가요. Enterprise는 여전히 맞춤형이고 연간 계약만 가능해요.
팀이 LeadIQ의 영업 담당자 워크플로와 Claude 커넥터를 원한다면 좋아요. 슬라이더 가격이 크레딧에 따라 바뀌고 MCP도 인증된 같은 플랜 잔액을 쓰므로, 쓸 수 있는 결과당 비용을 비교하세요.
- Essentials: 월 $33 환산, 연간 결제 $399, 매월 조회 100건, 이메일 전용 데이터.
- Pro: 월 $75 환산, 연간 결제 $899, 매월 조회 250건, 이메일과 전화번호.
- Ultimate: 월 $142 환산, 연간 결제 $1,699, 매월 조회 1,000건, 이메일과 전화번호, API 접근.
공개 탐색 기능과 브라우저 워크플로가 강해요. 구매자는 연간 내보내기 한도, 조회 추가 기능, 휴대폰 번호 접근, 팀 결제를 Argorant의 대량 요구와 비교해야 해요.
- ZoomInfo Lite는 월 10크레딧의 영구 무료 진입 등급이고, Community Edition은 제공량을 25로 늘려요.
- Enterprise 플랜은 여전히 맞춤 견적이고 보통 연간이에요. 독립적인 추정 범위를 월로 환산하면 기본 패키지는 대략 월 $1,250-$3,750+, 전체 포함 시 $2,500-$5,000예요.
- GTM AI는 데이터 크레딧 1,000개와 AI 크레딧 1,000개, 무료 검색 및 조회, $20부터의 충전으로 시작해요. 출시 데이터 크레딧 요금은 $0.10이고 명시된 정가는 $0.35예요.
폭넓은 GTM 인텔리전스와 통합 시그널에 강해요. Lite의 월 10크레딧 제공량은 테스트 경로이지 대량 운영 플랜이 아니에요.
- Standard와 Pro는 각각 시트 5개를 포함하지만 공개 달러 가격 없이 설명돼요.
- CRM 보강과 Data-as-a-Service는 추가 기능이나 별도 구매 방식으로 제공돼요.
- 1크레딧으로 연락처 1명을 공개, 보강, 내보내기할 수 있고, 같은 크레딧이 플랫폼, Enrich, API 전반에서 작동해요.
EMEA 커버리지와 관리형 구매를 중시하는 엔터프라이즈 팀에 강해요. 투명한 데이터 접근, 대량 내보내기, 에이전트 네이티브 워크플로가 가장 중요하다면 Argorant가 더 강해요.
What the published plan pages actually show
Screenshots are useful only when the highlighted claim is visible and the live source is linked. These two examples show why the sticker price alone is insufficient: UpLead moves full API access into an annual custom plan, while LeadIQ publishes both MCP and API access but says its Claude connector consumes normal paid-plan credits.
- 1Trial: 5 credits · Essentials: $99 · Plus: $199
UpLead's monthly view shows a seven-day five-credit trial, Essentials at $99 for 170 monthly credits, and Plus at $199 for 400 monthly credits.
- 2Professional: annual-only, custom, full API
The Professional card is annual-only, uses custom seats and credits, and lists full API access.
- 1Free: 50 credits · Pro: $15/month, 5 users
In the selected annual view, Free includes one user and 50 credits while the minimum Pro setting shows $15 per month and up to five users.
- 2The plan table includes both MCP integration and API access
LeadIQ's public comparison table lists MCP integration and API access; separate Claude documentation says live company and contact access requires an active paid subscription and consumes normal credits.
1. Coverage against your actual ICP
Take your genuine ICP filters, including industry, headcount, geography, and title, and run the identical search in every platform you’re evaluating, on a trial or free tier, before any contract discussion. Record three numbers: matching companies, matching contacts with emails, and (by sampling) how many of those companies are really in your segment versus misclassified. Then check ten accounts you know well, including current customers and dream logos, and see whether the right people show up at each. An afternoon of this produces a coverage table no analyst report can give you, because no analyst has your ICP. Geography deserves special attention: providers differ far more outside the US than inside it, and EU/DACH/APAC depth varies enormously between vendors that look identical on a US-only test.
2. Verification methodology and timing
“95%+ accuracy” appears on nearly every site in the category and means nothing without two qualifiers: how was the verdict produced, and when. Methodologies range from pattern inference (guessing first.last@) through MX-level checks to live per-mailbox SMTP probes. Each method answers a different question and can return a different status. Timing matters just as much: a verdict created when a record entered the database may no longer describe the mailbox at export. Ask every vendor: do you SMTP-probe per mailbox? At collection or at export? How are catch-all domains labeled, as their own category, or folded into “valid” to flatter the accuracy stat? A vendor that can’t answer per-row “when was this verified?” is selling you the past. Our own answers are documented publicly in 검증 방식, and the underlying mechanics are in our verification guide.
Our historical export test, with its limits
In Argorant’s internal export tests, Apollo’s invalid share ranged from 39% to 48%, while ZoomInfo ranged from 31% to 38%. One run returned 46.21% for Apollo and approximately 34.6% for ZoomInfo. These figures describe the tested exports, not either vendor’s full database.
| Export source | Invalid range | One observed run |
|---|---|---|
| Apollo | 39% to 48% | 46.21% |
| ZoomInfo | 31% to 38% | Approximately 34.6% |
Methodology limitation: the historical raw exports, per-verifier confusion matrix, segment composition, and exact status mapping are not currently published. Invalid, catch-all, unknown, and risky results must be kept separate in any new benchmark.
3. Pricing motion: self-serve versus quote-led
The buying experience predicts the contract. Self-serve vendors (Apollo, Hunter, Lusha, Argorant) publish prices, let you start without talking to anyone, and bill monthly. Quote-led vendors (ZoomInfo, Cognism, and most enterprise platforms) route you through sales, price by negotiation, and typically require annual commitments, frequently five figures before the platform has proven anything against your ICP. Neither motion is wrong; they optimize for different buyers. But be honest about which one fits your stage: a quote-led annual contract is a bet placed before the coverage test, while self-serve lets the product fail fast on its own merits. If a vendor won’t show pricing without a call, price that opacity into your evaluation.
4. The credit fine print: seats, exports, expiry
Two plans with the same sticker can differ several-fold in effective cost once you read the metering. The questions that matter: Are credits pooled across the team or trapped per seat? Do unused credits roll over or expire monthly? Is a credit charged for viewing a contact, or only for exporting it? Are bulk CSV exports on your plan, or gated to a higher tier (a common ceiling on entry-level plans)? And, decisive if you read section 2, do you pay for records that turn out to be invalid? Most per-record pricing charges the same for a live mailbox and a dead one, which means the vendor monetizes its own decay. The alternative model, which Argorant uses, is pay-per-deliverable: invalid and unverifiable rows are filtered at export and cost zero credits, so the freshness risk sits with the seller.
5. API and agent access
Increasingly, the entity running searches isn’t a person with a browser. It’s a workflow, a CRM sync, or an AI agent. That makes programmatic access a first-class criterion. Check whether the API is included or an enterprise upsell, what the rate limits are at your tier, and whether the full workflow (search, count, preview, export) is exposed or just lookup endpoints. If your team uses Claude, GPT, or custom agents, ask specifically about MCP support. It’s the difference between an agent that operates the database natively and one that scrapes a UI. Argorant ships MCP and API on every paid plan, plus a CLI on npm (npx argorant); for most legacy vendors, equivalent access starts at enterprise tiers. See AI 에이전트 접근 for what that looks like in practice.
6. Contract terms and exit cost
Read for the exit before you sign the entrance. Annual commitment or monthly? Auto-renewal with a narrow cancellation window? Seat-count minimums? What happens to exported data if you leave? Most vendors license rather than sell records, and the license terms on departure vary widely. Also check compliance posture (GDPR handling, a signable DPA, a documented opt-out process for data subjects), because your outbound program inherits your data vendor’s legal standing. None of this shows up in a demo, all of it shows up in year two.
The metric that decides it: cost per usable contact
Collapse everything above into one number. Take a real segment from your ICP, export it (or its equivalent) from each finalist, verify the output independently if the vendor didn’t verify at export, and divide the true monthly cost by the count of contacts that are in-segment and deliverable. That’s cost per usable contact, and it routinely reorders the field: a platform with a low sticker and 30% dead rows is more expensive than one that charges more per credit but only for valid records. It also converts every vendor claim into something testable on a few hundred rows.
Where does Argorant sit in this framework? Deliberately narrow. We don’t ship intent data, a built-in dialer, or org-chart visualizations. Vendors like ZoomInfo, Apollo, and Cognism bundle far more workflow. What we do is the contact layer itself, done strictly: 630.7M contacts in 202 countries, every work email checked live at download, catch-alls opt-in, invalid rows free, plans from under $100/month with API, MCP, and CLI access on every paid plan, plus a prepaid agent wallet at $0.035 per contact without a subscription. If you need the full platform bundle, buy the bundle. If you need verified contacts at a testable cost per usable row, run us through this exact framework. The side-by-side breakdowns live in compare and alternatives, and the numbers are on pricing.
Run the framework
on us first.
Test coverage on your real ICP with a personalized 25-lead sample and pay only for deliverable contacts.
