Pesquisa & buscaVisão geral documentadaÚltima verificação Oct 1, 2026
Tables: preços, recursos e melhores casos de uso
AI prospecting platform to search 300M+ verified contacts, enrich leads with AI research, score ICP fit, and sync to CRMs.
Nossa opinião: Best for B2B sales teams and founders doing outbound who need to source and qualify leads with AI research and CRM sync.
Principal limitação: No public paid prices for Team and Enterprise tiers; credit-based pricing; mobile numbers cost 10 credits each; CRM integrations and Chrome extension not on Free plan
Pela equipe editorial do AI Tool Atlas.
Com base na documentação oficial do fornecedor; não testamos este produto na prática. O que “visão geral documentada” significa
O Tables é para você?
Best for B2B sales teams and founders doing outbound who need to source and qualify leads with AI research and CRM sync. Com base na documentação do fornecedor, fora de um teste prático.
Ideal para: B2B sales teams
Também indicado para
Founders doing outbound
GTM teams looking to qualify leads
Considere outra ferramenta se need traditional monthly pricing (not credit-based)
Ou se
Require CRM integrations or Chrome extension on free tier
Require detailed public pricing information
Tables nas notícias
Manchetes de veículos dos EUA, selecionadas automaticamente. Não são recomendações. Atualizado Oct 2, 2026
Contact sales for custom volume pricing; dedicated account manager included
Para: Large enterprises with complex sales workflows and high volume
Limites
Volume credit pricing (likely lower per-credit cost at scale)
Custom plan shaped around organization
1 mais
Dedicated account manager
Inclui
Everything in Team, plus
A plan shaped around your organization
3 mais
Dedicated account manager
Volume credit pricing
Custom integrations and features (likely)
Limites de uso, créditos e custos extras
All data types (contact search, email, mobile, enrichment) charged per credit; pay only for data delivered
Not mentioned; likely subject to VAT in EU (Denmark-based company)
O que é Tables e como funciona?
Tables is a lead sourcing tool that lets sales teams describe an ideal customer in plain language and get a scored list of matching contacts and companies from a database of over 300 million verified contacts. AI enrichment columns research each prospect and return custom scores or tags with reasoning and sources. Leads can be synced to CRMs such as Pipedrive and Attio, revealed via a LinkedIn Chrome extension, or used inside Claude through an MCP integration.
O que você fornece e o que recebe de volta
O que você fornece a Tables e o que recebe de volta, segundo a documentação
O que você fornece
Plain-language ICP description (e.g., 'SaaS founders in the Nordics who raised in the last year')
Company and contact search criteria (title, seniority, technology, location)
Local files and documents (prospect data for enrichment)
O que você recebe de volta
Ranked prospect lists with ICP fit scores (1–10 scale)
Verified work emails and mobile numbers
AI research and custom scores with reasoning and sources
Synced contacts to CRMs (Pipedrive, Attio, more)
Onde você pode usar
Plataformas
Web
Conta
Obrigatório
Onde Tables é mais útil
Os cenários são elaborados por nossos editores a partir da documentação; o resultado real depende da sua entrada e do seu plano.
Building prospect lists from a plain-language ICP
Quem
Sales leaders and SDRs
O que você fornece
Natural-language description of ideal customer (e.g., 'Seed-stage SaaS founders using HubSpot in California')
Resultado esperado
List of 100–1000 matched prospects ranked by ICP fit score
Search for companies and contacts across 30+ criteria (title, seniority, technology, location, hiring signals) Find decision-makers and relevant buyers without manual list-building
Acesso: All plansLimite: Quality and availability depends on search criteria specificityfonte (abre em uma nova guia)
Verified emails and mobile numbers
Provides validated work emails and direct phone numbers for prospects (98% accuracy rate) Reach out directly without using intermediaries or public databases
Acesso: All plans (costs 1 credit per email, 10 credits per mobile number)Limite: Not all prospects have phone numbers (free if not found)fonte (abre em uma nova guia)
AI enrichment columns with sources
Create custom scores, yes/no fields, or tags for each prospect; AI researches and answers with reasoning and sources Qualify leads on custom criteria and document the reasoning
Acesso: All plans (costs 1 credit per row per column)Limite: Each column requires separate generation; costs add up for large listsfonte (abre em uma nova guia)
CRM sync and automation
Push contacts and companies to CRM (Pipedrive, Attio, and more) one-by-one or as bulk lists; stay in sync as changes occur Pipeline automation without manual data entry
Free plan with 100 credits Try the product on real data without sales conversationdocumentadofonte (abre em uma nova guia)
Only charged for data actually delivered If a mobile number is not found, you are not charged; pay for success onlydocumentadofonte (abre em uma nova guia)
Published per-credit costs per data type Transparent pricing (0.5 credits per contact, 1 credit per email, 10 credits per mobile, 0 credits per company phone)documentadofonte (abre em uma nova guia)
Claude MCP integration Run agentic workflows directly inside Claude; no tool switchingdocumentadofonte (abre em uma nova guia)
Limitações a conferir antes de pagar
No public paid prices; Team and Enterprise require sales Cannot see plan costs before talking to sales; pricing negotiated per customerdocumentadofonte (abre em uma nova guia)
Credit-based: mobile numbers cost 10 credits each Bulk mobile number reveals can exhaust credits quickly; expensive compared to email datadocumentadofonte (abre em uma nova guia)
CRM integrations and Chrome extension not on Free plan Free tier has limited utility; full features require paid Team/Enterprise plandocumentadofonte (abre em uma nova guia)
Not fully self-service; sales conversation required for Team/Enterprise Onboarding requires talking to a representative; adds frictiondocumentadofonte (abre em uma nova guia)
Como usar o Tables para finding and qualifying prospects using AI search
Configurar Tables
Visit https://www.tables.so/ and click 'Start for free'
Create an account (no card required for Free plan)
Complete onboarding (describe your use case)
Choose your workspace and start searching
Exemplo: finding and qualifying prospects using AI search
In AI Search, type your ideal customer in plain language (e.g., 'SaaS founders in the Nordics who raised Series A in the last year')
Click Search; Tables returns a list of 100–1000+ matched prospects scored by ICP fit
Click on a prospect to see their email (1 credit), phone number (10 credits), or company data
Add custom AI enrichment columns (e.g., 'Is this person hiring?', 'ICP fit score') to research each prospect
Select prospects you want and export to CSV or push to your CRM (Team plan required for CRM sync)
Revise e exporte o resultado
Verify the prospect list matches your ICP criteria (title, company size, location, etc.)
Check that email and phone numbers are valid and up-to-date
Spot-check AI research reasoning and sources for accuracy
Tables integrações e API
Integrações nativas e formatos de exportação
Exportar: CSV export, Direct CRM sync (Pipedrive, Attio, more)
Acesso à API e cobrança separada
Tables não tem API pública na documentação oficial. No public API; CRM integrations and MCP are primary integration methods
Privacidade, uso de dados e direitos comerciais
Resumido a partir das políticas atuais do fornecedor; não é aconselhamento jurídico, e o selo de um fornecedor não é uma auditoria independente.
Como suas entradas e saídas são tratadas
Customer uploads prospects and data; Tables processes on customer's behalf (processor role); customer is data controller
No mention of training data usage for product improvement
Data Processing Agreement governs retention; customer data retained only while needed for service
Uso comercial e restrições de plano
Business contact data from third-party providers used for B2B sales and prospecting
Controles para usuários corporativos
Data Processing Agreement (DPA) for customer data
Per-member spend limits (Team/Enterprise)
Right to object to making business information available (can request removal)
Free plan includes 100 credits. Team and Enterprise plans are custom; contact sales. Credit costs: 0.5 credits per contact record, 1 credit per email, 10 credits per mobile number, 1 credit per AI enrichment column row. fonte (abre em uma nova guia)
Do I need to set up my own API key?
No. Tables handles the API and AI on its backend. Free and paid plans work through the web interface and integrations (Chrome extension, CRM sync, Claude MCP). fonte (abre em uma nova guia)
Can I reveal contacts on LinkedIn?
Yes, with the Tables Chrome extension (Team/Enterprise plan). Install it, browse any LinkedIn profile, and reveal the person's email and phone number if available. fonte (abre em uma nova guia)
What happens if Tables can't find a person's email or phone?
You are not charged. Tables only charges for data it actually delivers. If a number is not found, you pay nothing for that field. fonte (abre em uma nova guia)
How accurate is the contact data?
98% accuracy rate. All records are verified across five separate points before reaching search results. Mobile number connect rate is 30% (125M+ verified and live numbers). fonte (abre em uma nova guia)
Pricingpricing · verificado Oct 1, 2026 · Three-tier plans (Free, Team, Enterprise), Feature comparison table, Per-credit costs for data types, Free plan: 100 credits included
Privacy Policypolicy · verificado Oct 1, 2026 · Data controller information (Theoflow ApS, Denmark), Data processing for customers and users, Business contact data from third-party providers, Right to object and data subject rights
Não verificado: Team and Enterprise plan USD prices (requires sales conversation); Specific CRM integrations beyond Pipedrive and Attio; API documentation and endpoint details; Exact data retention policy for customer data; Training data usage for AI model improvements.
Como documentamos e mantemos esta página
Todos os fatos sobre Tables acima vêm de 3 páginas oficiais listados aqui, comparados pela última vez em Oct 1, 2026; não executamos Tables por conta própria, por isso ele não tem nota editorial. Como verificamos e reverificamos as páginas.
Artigo atualizado em Oct 10, 2026; preços verificados Oct 1, 2026. Os links para fornecedores são links comuns; não ganhamos comissões. Como avaliamos · Relatar um erro
