Research & searchDocumented overviewLast checked Oct 1, 2026
Tables: Pricing, Features & Best Use Cases
AI prospecting platform to search 300M+ verified contacts, enrich leads with AI research, score ICP fit, and sync to CRMs.
Our take: Best for B2B sales teams and founders doing outbound who need to source and qualify leads with AI research and CRM sync.
Main limitation: 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
By the AI Tool Atlas editors.
Based on the vendor's official documentation; we have not tested this product hands-on. What “documented overview” means
Is Tables right for you?
Best for B2B sales teams and founders doing outbound who need to source and qualify leads with AI research and CRM sync. Based on the vendor's documentation, not on a hands-on test.
Best for: B2B sales teams
Also a good fit for
Founders doing outbound
GTM teams looking to qualify leads
Consider another tool if need traditional monthly pricing (not credit-based)
Or if
Require CRM integrations or Chrome extension on free tier
Require detailed public pricing information
Tables in the news
Headlines from US outlets, selected automatically — not endorsements. Updated Oct 2, 2026
Contact sales for custom volume pricing; dedicated account manager included
For: Large enterprises with complex sales workflows and high volume
Limits
Volume credit pricing (likely lower per-credit cost at scale)
Custom plan shaped around organization
1 more
Dedicated account manager
Includes
Everything in Team, plus
A plan shaped around your organization
3 more
Dedicated account manager
Volume credit pricing
Custom integrations and features (likely)
Usage caps, credits and extra costs
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)
What is Tables, and how does it work?
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.
What you provide and what you get back
What you give Tables and what comes back, from its documentation
You provide
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)
You get back
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)
Where you can use it
Platforms
Web
Account
Required
Where Tables is most useful
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.
Building prospect lists from a plain-language ICP
Who
Sales leaders and SDRs
You provide
Natural-language description of ideal customer (e.g., 'Seed-stage SaaS founders using HubSpot in California')
Expected result
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
Access: All plansLimit: Quality and availability depends on search criteria specificitysource (opens in a new tab)
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
Access: All plans (costs 1 credit per email, 10 credits per mobile number)Limit: Not all prospects have phone numbers (free if not found)source (opens in a new tab)
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
Access: All plans (costs 1 credit per row per column)Limit: Each column requires separate generation; costs add up for large listssource (opens in a new tab)
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 conversationdocumentedsource (opens in a new tab)
Only charged for data actually delivered If a mobile number is not found, you are not charged; pay for success onlydocumentedsource (opens in a new tab)
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)documentedsource (opens in a new tab)
Claude MCP integration Run agentic workflows directly inside Claude; no tool switchingdocumentedsource (opens in a new tab)
Limitations to check before paying
No public paid prices; Team and Enterprise require sales Cannot see plan costs before talking to sales; pricing negotiated per customerdocumentedsource (opens in a new tab)
Credit-based: mobile numbers cost 10 credits each Bulk mobile number reveals can exhaust credits quickly; expensive compared to email datadocumentedsource (opens in a new tab)
CRM integrations and Chrome extension not on Free plan Free tier has limited utility; full features require paid Team/Enterprise plandocumentedsource (opens in a new tab)
Not fully self-service; sales conversation required for Team/Enterprise Onboarding requires talking to a representative; adds frictiondocumentedsource (opens in a new tab)
How to use Tables for finding and qualifying prospects using AI search
Set up 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
Example: 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)
Review and export the result
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 integrations and API
Native integrations and export formats
Export: CSV export, Direct CRM sync (Pipedrive, Attio, more)
API access and separate billing
Tables has no public API in its official documentation. No public API; CRM integrations and MCP are primary integration methods
Privacy, data use and commercial rights
Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.
How your inputs and outputs are handled
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
Commercial use and plan restrictions
Business contact data from third-party providers used for B2B sales and prospecting
Controls for business users
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. source (opens in a new tab)
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). source (opens in a new tab)
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. source (opens in a new tab)
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. source (opens in a new tab)
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). source (opens in a new tab)
Pricingpricing · checked 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 · checked 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
Not verified: 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.
How we documented and maintain this page
Every fact about Tables above comes from the 3 official pages listed here, last compared on Oct 1, 2026; we have not run Tables ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 10, 2026; prices checked Oct 1, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error
