SalesQL

Name: SalesQL
Brand: SalesQL
Price: 05039 USD

One credit, one match, nothing charged when it misses

SalesQL is a LinkedIn-based contact extraction tool that reveals verified work emails, personal emails, and mobile phone numbers from LinkedIn, Sales Navigator, LinkedIn Recruiter, and Recruiter Professional Services pages through a Chrome extension, stores them in folders, enriches uploaded CSVs, and exposes the same lookups through a REST API and an MCP server; it draws all data types from a single credit pool and charges one credit per match with no charge for a non-match.

Visit website

Overview

SalesQL is the plainest expression of a specific idea: LinkedIn is already your prospect list, so the only thing missing is a way to contact the people on it. The Chrome extension sits on a profile or a search result page and returns what LinkedIn deliberately withholds. Where it differs from the many other tools doing the same job is coverage and honesty. It works across all four LinkedIn surfaces including Recruiter and Recruiter Professional Services, it returns personal addresses as well as work ones, and it states its charging rule in writing: one credit per match, free for non-matches.

That last point is worth dwelling on, because in this category it is the whole ballgame. RocketReach, ContactOut, Datagma, Icypeas, and Enrich all decline to state publicly what happens to your credit when a lookup returns nothing. Hunter, Anymail Finder, BetterContact, FullEnrich, and Dropcontact all commit to charging on success only. SalesQL is unambiguously in the second group, and it applies the rule to the API as well as the interface, which means the advertised credit price is a real price per contact rather than a price per attempt.

The other structural choice that matters is the single credit pool. A work email, a personal email, and a mobile number all cost one credit. Kaspr splits three separate meters and rations phones to 200 a month. Tomba charges five credits for a phone against one for an email. SalesQL just charges one for whatever it found. That makes the arithmetic trivially easy and it makes the product much better value if your mix is phone-heavy, at the cost of some transparency about what the mix actually costs the vendor.

SalesQL claims more than 800,000 users and carries an unusually strong review profile, around 4.8 across roughly 900 reviews spanning G2, Capterra, the Chrome Web Store, and Trustpilot, with a customer list that names Accenture, Johnson and Johnson, Hilton, Verizon, BDO, and Cognizant. It has recently added an MCP server so Claude, ChatGPT, and Gemini can call its lookups directly, which is a more forward-looking move than most vendors in this bracket have made, and an email sequencing feature is advertised as coming rather than shipped.

Best for

Salespeople and recruiters who prospect inside LinkedIn across profiles, Sales Navigator, and Recruiter, who need personal email addresses and mobile numbers alongside work emails, and who want a single credit pool with an explicit no-match-no-charge rule.

Not the right fit for

Anyone who wants to build lists without LinkedIn; SalesQL is an extraction layer on top of LinkedIn's own search and there is no meaningful standalone database to query, so a LinkedIn account restriction takes your data tool with it.
Teams that need a bundled sequencer today; email campaigns are advertised as coming soon rather than shipped, so outreach requires a separate subscription.
Buyers on the free plan who expect API access; the API starts on the Professional tier at 79 dollars a month and is absent from Basic entirely.
Organisations with a procurement process requiring published data sourcing, SSO, data residency options, or a documented GDPR legal basis; SalesQL publishes considerably less of this than Kaspr, Hunter, or Dropcontact.
Anyone needing waterfall enrichment across multiple providers or bring-your-own-key support; SalesQL is single-source and does not cascade.

How it works

1
You install the Chrome extension and sign in. Opening a LinkedIn profile, a Sales Navigator lead, a Recruiter record, or an RPS page puts a SalesQL panel on the page showing the contact details it holds, revealed on click.
2
For volume, you work from a search result page and bulk export across the whole set. This is the workflow the product is designed around and the reason people buy it rather than using a database search tool.
3
Each reveal spends one credit if SalesQL finds a match, whether that match is a work email, a personal email, or a mobile number, and nothing at all if it does not. Email verification runs against a separate verifier allowance rather than the main credit pool.
4
Revealed contacts go into folders inside the SalesQL web app, where they can be organised before export. Free accounts are limited to three folders, which is the main structural constraint on the free tier.
5
For lists you already hold, CSV enrichment takes an uploaded file and attaches emails, phone numbers, and company data, with row limits per file that scale by plan from 1,000 on Basic to 50,000 on Organization.
6
Developers use the REST API for person and company enrichment, email verification, and CRM sync, with daily call ceilings by plan, or the MCP server to expose the same lookups to Claude, ChatGPT, and Gemini directly.

Feature breakdown

26 features in 5 modules

LinkedIn extraction

Four LinkedIn surfaces, three data types, one extension.

Profile reveal on LinkedIn: A panel on any LinkedIn profile returns the emails and phone numbers SalesQL holds, revealed on click and charged only when there is a match.
Sales Navigator support: Works on Sales Navigator lead and account pages and across search result sets, which is the volume path for most sales users.
LinkedIn Recruiter and RPS support: Coverage of LinkedIn Recruiter and Recruiter Professional Services pages, which most competing extensions do not handle and which is the reason recruiting teams choose SalesQL.
Bulk export from search pages: Extract across an entire result set in one action rather than opening profiles individually.
Personal email addresses: Surfaces personal Gmail, Yahoo, and Outlook addresses when a work address is unavailable, which is the capability recruiters depend on and which Skrapp, GetProspect, and Hunter do not offer at all.
Mobile phone numbers: Direct mobile numbers are available from the Basic tier upward and draw on the same credit pool as email rather than a separate rationed meter.

Credit model

One pool, one credit per match, nothing charged on a miss.

Single credit pool for all data types: A work email, a personal email, and a mobile number each cost one credit, which makes the arithmetic simple and makes the product much better value than Kaspr or Tomba if your mix is phone-heavy.
No charge for a non-match: SalesQL states explicitly that a lookup returning nothing costs nothing, in the interface and through the API, which is the single most consequential billing rule in this category.
Separate email verifier allowance: Verification credits are counted apart from find credits: 100 on Free, 5,000 on Basic, 10,000 on Professional, and 20,000 on Organization, so hygiene work does not eat your lookup budget.
Included seats rather than per-seat billing: One user on Basic, three on Professional, and fifteen on Organization, sharing one pool, which is materially better team economics than Kaspr, Lusha, RocketReach, or ContactOut.
Graded ladder: 2,000, 5,000, and 12,000 credits a month at 39, 79, and 119 dollars, a properly proportioned ladder without the cliff that makes Skrapp awkward in the middle.

Lists and bulk enrichment

Enough workspace to run a campaign's worth of contacts, and a CSV path for lists you already own.

Folders: Revealed contacts are organised into folders, capped at three on the free plan and unrestricted on paid tiers.
CSV enrichment: Upload an existing list and have SalesQL attach emails, phone numbers, and company data, with per-file row limits of 1,000 on Basic, 5,000 on Professional, and 50,000 on Organization.
Firmographic enrichment: Company attributes are attached alongside contact details so segmentation can happen before a send rather than after.
Real-time verification on reveal: Addresses are verified as part of the reveal rather than being handed over unchecked and validated later.
CSV export: Lists leave cleanly as files on every paid plan, with no export gate behind a higher tier.

API and AI access

A REST API with published daily ceilings, plus an MCP server, which is ahead of most of this bracket.

REST API: Person and company enrichment, email verification, and CRM sync endpoints, charging one credit per match and nothing for a non-match, exactly as the interface does.
Published daily call limits: 5,000 API calls a day on Professional and 20,000 on Organization. These are daily ceilings rather than per-second rate limits, so burst behaviour still has to be established by testing.
MCP server: A Model Context Protocol server lets Claude, ChatGPT, and Gemini call SalesQL lookups directly, which is a genuinely forward-looking feature for a tool at this price and one almost nobody else in this category ships.
API gated to Professional and above: Neither Free nor Basic includes API access, so a developer evaluating SalesQL has to start at 79 dollars a month.
CRM sync endpoints: The API covers pushing enriched records into a CRM rather than only pulling data out of SalesQL.

Integrations and workflow

The standard connectors plus a sequencer that has not arrived yet.

HubSpot, Salesforce, and Pipedrive: Native CRM sync mapping revealed contacts and firmographics onto records.
Outreach: A direct connector into a dedicated sales engagement platform, which is unusual at this price point and useful for teams already running one.
Zapier: Covers the long tail of tools outside the native list.
Email sequences (announced): AI-assisted follow-up campaigns are advertised as coming soon rather than shipped, so do not buy SalesQL expecting to send from it today.
Priority support on upper tiers: Professional and Organization carry priority support; Basic and Free do not.

Use cases

4 documented

Recruiter working in LinkedIn Recruiter

Candidates ignore InMail, and the tools the team already pays for do not extract from Recruiter or RPS pages at all.

SalesQL covers all four LinkedIn surfaces including Recruiter and RPS, returns personal Gmail addresses when no work address exists, and draws phones from the same pool, so a candidate can be reached three ways for three credits.

SDR whose outreach mix is half calls and half email

Tools that ration phone credits separately make the month unpredictable, and running out of mobiles halfway through is a recurring problem.

The single credit pool means the mix does not matter: 5,000 credits on Professional is 5,000 contacts in whatever combination the week demands, with nothing charged for the misses.

Founder wiring enrichment into an internal tool

An inbound form captures a LinkedIn URL and the product needs an email and a company record attached before routing.

The REST API on Professional handles it at up to 5,000 calls a day charging only on matches, and the MCP server additionally lets the team query the same data from Claude without writing an integration.

Three-person agency sharing a data budget

Per-seat tools have made the data line item three times larger than the work justifies.

Professional at 79 dollars includes three users on one shared pool of 5,000 credits, so the team pays once rather than three times, which is roughly a third of what the same team would spend on Kaspr Business.

Pricing

from $0 (Free, 50 credits), then $39 per month (Basic)

Freemium subscription priced by monthly credits drawn from a single pool covering emails and phone numbers alike, with included seats, a separate verification allowance, and roughly 25 percent off for annual billing.

Plan	Price	Includes
Free	$0 per month	50 credits per month 100 email verifier credits Email addresses only, no phone numbers Up to 3 folders 1 user The absence of phone numbers means the free tier cannot test the capability most buyers are actually evaluating.
Basic	$39 per user per month (25 percent off on annual billing)	2,000 credits per month 5,000 email verifier credits Phone numbers included CSV enrichment up to 1,000 rows per file 1 user No API access at this tier, which makes it a browser-only plan.
Professional	$79 per month for 3 users (25 percent off on annual billing)	5,000 credits per month 10,000 email verifier credits CSV enrichment up to 5,000 rows per file API access at 5,000 calls per day Priority support The tier the vendor marks as most popular, and the first one with an API.
Organization	$119 per month for 15 users (25 percent off on annual billing)	12,000 credits per month 20,000 email verifier credits CSV enrichment up to 50,000 rows per file API access at 20,000 calls per day Priority support Fifteen seats for 119 dollars is among the best team economics anywhere in this category.

Billing notes

One credit is spent per match, whatever the data type. A work email, a personal email, and a mobile number all cost the same, drawn from one pool. This is simpler and usually cheaper than Kaspr's three separate meters or Tomba's five-credits-per-phone multiplier.
SalesQL states explicitly that a non-match costs nothing, in the interface and through the API. That places it with Hunter, Anymail Finder, Skrapp, GetProspect, BetterContact, FullEnrich, and Dropcontact, and against RocketReach, ContactOut, Datagma, Icypeas, and Enrich, which all stay silent on the question.
Email verification credits are a separate allowance and do not consume find credits, running from 100 on Free to 20,000 on Organization.
Seats are included rather than billed per user: one on Basic, three on Professional, fifteen on Organization, all sharing a single credit pool. A three-person team pays 79 dollars total here against three times 79 euros on Kaspr Business.
Annual billing carries roughly 25 percent off the monthly rate across all paid tiers. The advertised figures of 39, 79, and 119 dollars are the monthly rates, so unlike Kaspr and Skrapp the headline number does not assume a commitment.
API access starts at Professional. Basic and Free have none, so any developer evaluation begins at 79 dollars a month.
SalesQL does not publish credit rollover terms, so treat the monthly allowance as resetting until told otherwise. Nor does it publish per-second API rate limits, only daily call ceilings.

Value assessment: SalesQL is priced very well for what it does, and the single credit pool is why. At 1,000 lookups a month, Basic's 2,000 credits for 39 dollars is 0.0195 dollars per contact whether that contact is an email or a mobile number, and because misses are free that is a real figure. Compare it to a mobile number bought on Kaspr Business at roughly 0.40 euros or on Tomba at five credits, about 0.0445 dollars, and SalesQL is dramatically cheaper for phone-heavy work. At 10,000 a month, Organization's 12,000 credits for 119 dollars is roughly 0.0099 per contact, which is close to the cheapest credible per-mobile price published anywhere self-serve, and it comes with fifteen seats. The caveat is coverage rather than price: a cheap credit is only cheap if it matches, and SalesQL publishes no match-rate commitment, so a low unit price with poor hit rates on your particular segment is a worse deal than it looks. Test the free tier against your own list, remembering that the free tier withholds the phone numbers you most want to test.

Strengths & limitations

Strengths

An explicit written rule that a non-match costs nothing, applied to the API as well as the interface, which is the most important disclosure a vendor in this category can make.
A single credit pool covering work email, personal email, and mobile numbers, which is far simpler and usually cheaper than the multi-meter models used by Kaspr and Tomba.
Coverage of all four LinkedIn surfaces including Recruiter and Recruiter Professional Services, which most competing extensions do not handle.
Personal email addresses alongside work ones, which Skrapp, GetProspect, and Hunter do not sell at all and which recruiting workflows depend on.
Seats included rather than billed per user, with fifteen users on the 119 dollar tier, giving some of the best team economics in the category.
An MCP server exposing lookups to Claude, ChatGPT, and Gemini, which is genuinely ahead of the field at this price point.
A strong and broad review profile, roughly 4.8 across about 900 reviews spanning four independent platforms rather than one.

Limitations

Entirely dependent on LinkedIn: there is no meaningful standalone database to search, so the product is only as available as your LinkedIn account is.
The free tier excludes phone numbers, so the capability most buyers want to evaluate is precisely the one the free plan will not let them test.
No API on Free or Basic, so developer evaluation starts at 79 dollars a month.
The promised email sequencing feature is announced rather than shipped, and buying on the expectation of it is buying a roadmap.
No published match-rate commitment, so the attractive per-credit price is not backed by any statement about how often a lookup actually returns something.
Only daily API call ceilings are published, not per-second or per-minute rate limits, so burst and concurrency behaviour must be discovered empirically.
Very little is published about who runs the company, where it is based, how the data is sourced, or what GDPR legal basis is being relied on, which is a real problem for a European buyer and a worse one for a procurement review.
No waterfall enrichment and no bring-your-own-key support, so difficult lists need SalesQL to sit inside Clay or BetterContact rather than to be the whole answer.

Head-to-head comparisons

5 alternatives

SalesQL vs Kaspr

from 0 euros (Free), then 45 euros per user per month on annual billing (Starter)

Both are LinkedIn extensions returning emails and phones, and the difference is entirely in the credit model. Kaspr gives unlimited work email but rations mobiles to 100 or 200 a month and charges per seat, and it will not say what happens when a reveal fails. SalesQL pools everything into one credit, states that misses are free, and includes three seats at 79 dollars where Kaspr charges 79 euros each. Unless you need genuinely unlimited work email volume from a single seat, SalesQL is the better structured deal.

Full SalesQL vs Kaspr comparison

SalesQL vs Skrapp.io

from $0 (Free, 50 credits), then $29 per month on annual billing (Professional)

Skrapp is cheaper for pure work email, at 29 dollars for 2,000 credits against SalesQL's 39, and adds a searchable database you can use without LinkedIn open. SalesQL adds phone numbers, personal email addresses, Recruiter and RPS coverage, and an MCP server, none of which Skrapp has at any price. If email is the only deliverable, Skrapp; if you need to call people or reach them on a personal address, SalesQL, and it is not close.

Full SalesQL vs Skrapp.io comparison

SalesQL vs GetProspect

from $0 (Free, 50 valid emails), then $34 per month on annual billing (Starter, $49 month-to-month)

GetProspect gives every feature to every tier including free and sells a graded ladder of verified work emails from a searchable database, with essentially no phone data. SalesQL sells LinkedIn extraction with phones and personal emails in one pool but gates the API to its third tier. Choose GetProspect when the deliverable is verified work email and you want to build lists independently of LinkedIn; choose SalesQL when LinkedIn is already the list and you need more than a work address.

Full SalesQL vs GetProspect comparison

SalesQL vs ContactOut

from $0 (Free), then about $99 per month per seat on annual billing (email plan)

ContactOut is the incumbent in the recruiter niche SalesQL targets, with deeper personal email coverage and a large candidate-side database, but it charges per seat, its advertised prices assume an annual commitment, and it declines to state whether a failed lookup consumes a credit. SalesQL is cheaper, includes seats, and publishes the rule ContactOut will not. ContactOut wins on coverage depth; SalesQL wins on economics and disclosure.

Full SalesQL vs ContactOut comparison

SalesQL vs Wiza

from $49/user/mo (Starter); unlimited emails from $990/user/yr

Wiza is the closer comparison for Sales Navigator list export specifically, with strong bulk extraction and a cleaner list-building workflow. SalesQL covers more LinkedIn surfaces, including Recruiter and RPS, pools phones into the same credit as email, and ships an MCP server. If your work is exporting large Sales Navigator searches, look hard at Wiza; if it spans profiles, Recruiter, and ad hoc lookups, SalesQL covers more ground.

Full SalesQL vs Wiza comparison

Implementation & onboarding

Setup time: Under ten minutes. Install the Chrome extension, sign in, open a LinkedIn profile. CRM connection adds fifteen minutes; API integration is a day or two depending on scope.
Learning curve: Very low, and lower than most competitors because there is only one credit type to understand. The one thing to internalise is that the free tier will not return phone numbers, so a free evaluation does not test the capability most buyers care about.
Onboarding: Fully self-serve on every published tier including the 119 dollar Organization plan. Priority support is included from Professional upward; there is no implementation call and none is needed.
Migration notes: Nothing to bring in beyond a CSV for enrichment. On the way out, folders export to CSV on any paid plan and the API allows a programmatic pull from Professional upward. The real migration risk is not the data but the workflow: because SalesQL lives inside LinkedIn, replacing it means replacing a habit rather than a database.

Platform, API & security

Platforms: Chrome extensionWeb applicationREST APIMCP server
API: A REST API covers person and company enrichment, email verification, and CRM sync, charging one credit per match and nothing for a non-match. Published limits are daily ceilings of 5,000 calls on Professional and 20,000 on Organization; per-second and per-minute rate limits are not published. An MCP server exposes the same lookups to Claude, ChatGPT, and Gemini. There is no API on Free or Basic.
Compliance: GDPR and CCPA referenced in the vendor's policies
Data residency: No customer-selectable regional hosting is advertised.
SSO: Not advertised on the published tiers.
Security notes: SalesQL verifies addresses in real time as part of each reveal and commits in writing to charging only for matches. It publishes considerably less than Kaspr, Hunter, or Dropcontact about where its data originates, what GDPR legal basis it relies on, and how an individual objects to inclusion. Buyers contacting people in the EU should request that documentation in writing before committing, since the public materials will not support a legitimate interest assessment on their own.

Support & resources

Channels: Email supportHelp centrePriority support on Professional and Organization
Documentation: Help centre and a how-it-works guide covering the extension, folders, CSV enrichment, and integrations, plus API reference material for Professional and above.
Community: No formal user forum; an unusually broad review base of roughly 900 reviews across G2, Capterra, the Chrome Web Store, and Trustpilot at around 4.8.

Company

Founded: 2018
Headquarters: Not publicly disclosed; the Chrome Web Store publisher is registered as SalesQL Ltd
Ownership: Privately held and independent
Employees: Not disclosed
Funding: No outside funding is publicly reported.

Timeline

2018Launches as a Chrome extension revealing emails and phone numbers on LinkedIn profiles, published under SalesQL Ltd.
2020Extends coverage to LinkedIn Sales Navigator, Recruiter, and Recruiter Professional Services, going wider across LinkedIn surfaces than most competing extensions.
2021Adds folders, CSV enrichment, and native CRM connectors including HubSpot, Salesforce, Pipedrive, and Outreach.
2023Introduces the REST API with published daily call ceilings on Professional and Organization plans.
2025Ships an MCP server exposing lookups directly to Claude, ChatGPT, and Gemini.
2026Reports more than 800,000 users with a roughly 4.8 rating across about 900 reviews on four platforms, and announces email sequencing as forthcoming.

Integrations

HubSpot
Salesforce
Pipedrive
Outreach
Zapier
LinkedIn, Sales Navigator, Recruiter, and Recruiter Professional Services (via the Chrome extension)
Claude, ChatGPT, and Gemini via the MCP server
CSV import and export
REST API

Frequently asked questions

10 questions

What is SalesQL and what does it do?

SalesQL is a Chrome extension that reveals verified work emails, personal emails, and mobile phone numbers from LinkedIn, Sales Navigator, LinkedIn Recruiter, and Recruiter Professional Services pages. Revealed contacts are stored in folders in a web app, uploaded CSVs can be enriched, and the same lookups are available through a REST API and an MCP server. It is a LinkedIn extraction tool, not a standalone searchable database.

How much does SalesQL cost?

Free gives 50 credits and one user with email addresses only. Basic is 39 dollars a month for 2,000 credits and one user. Professional is 79 dollars for 5,000 credits and three users, and is the first tier with API access. Organization is 119 dollars for 12,000 credits and fifteen users. Annual billing takes roughly 25 percent off, and unlike several competitors the advertised prices are the monthly rates.

Does a failed lookup consume a credit?

No, and SalesQL says so explicitly: one credit per match, free for non-matches, applied in the interface and through the API. That places it with Hunter, Anymail Finder, Skrapp, GetProspect, BetterContact, FullEnrich, and Dropcontact, all of which charge on success only, and against RocketReach, ContactOut, Datagma, Icypeas, and Enrich, none of which will state their rule publicly. It is the most consequential billing difference in this category.

Are phone numbers a separate credit type?

No, and this is SalesQL's best pricing decision. A work email, a personal email, and a mobile number all cost one credit from the same pool. Kaspr runs three separate meters and rations mobiles to 200 a month; Tomba charges five credits for a phone lookup against one for an email. SalesQL charges one for whatever it found, which makes phone-heavy work dramatically cheaper here than almost anywhere else.

What does SalesQL cost per verified email and per mobile number at 1,000 and 10,000 lookups?

Because everything comes from one pool, the two figures are identical. At 1,000 a month, Basic's 2,000 credits for 39 dollars is about 0.0195 dollars per contact of any type. At 10,000, Organization's 12,000 credits for 119 dollars is roughly 0.0099 each, with fifteen seats included. For mobile numbers specifically that is among the cheapest published self-serve pricing anywhere, several times cheaper than Kaspr Business at roughly 0.40 euros a mobile or Tomba at about 0.0445 dollars.

Does SalesQL publish a match rate?

No, and this is the gap in an otherwise well-disclosed product. SalesQL commits in writing to charging only for matches, which protects you from paying for misses, but it makes no public commitment about how often a lookup succeeds on a given segment. A cheap credit that rarely matches is not cheap. Test the free tier against your own target list before committing, and note that the free tier withholds phone numbers, so the phone match rate cannot be evaluated without paying for Basic first.

Where does SalesQL's data come from and what is its GDPR position?

SalesQL references GDPR and CCPA in its policies but publishes materially less than Kaspr, Hunter, or Dropcontact about sourcing, legal basis, and the individual objection process. It does not document a legitimate interest assessment or a public opt-out flow of the kind Kaspr provides. For European contacts, request that documentation in writing before committing, and understand that your own legitimate interest assessment and objection handling remain yours regardless of any vendor claim.

What are the SalesQL API rate limits and which plans include it?

API access starts at Professional. The published limits are daily ceilings of 5,000 calls a day on Professional and 20,000 on Organization. Per-second and per-minute rate limits are not published, so burst behaviour has to be established by testing. There is no API on Free or Basic, which means a developer evaluation begins at 79 dollars a month rather than free.

Does SalesQL support waterfall enrichment or bring-your-own provider keys?

No. SalesQL is a single-source provider that does not cascade a failed lookup to another vendor and does not accept your own API keys for other providers the way Clay, BetterContact, and FullEnrich do. Because SalesQL charges nothing for misses, it is a good candidate to sit as one step inside someone else's waterfall, but it will not build the waterfall for you.

Can I send email sequences from SalesQL?

Not yet. Email sequencing with AI-assisted follow-ups is advertised as coming soon rather than shipped, so at present SalesQL finds contacts and hands them to a separate sequencer through the Outreach connector, a CRM, Zapier, or CSV. Do not buy it on the expectation of the sequencer arriving on any particular timeline.

Editorial verdict

SalesQL is the best-structured LinkedIn extraction tool in this batch, and the reason is two decisions rather than any single feature. One credit buys any data type, so a phone-heavy month costs the same as an email-heavy one, and misses cost nothing, which SalesQL states in writing where five of the biggest names in this category will not. Add coverage of Recruiter and RPS, personal email addresses, fifteen seats on a 119 dollar plan, and an MCP server, and the value per dollar is genuinely hard to beat, particularly for anyone who needs mobile numbers. The reservations are about disclosure rather than product. Almost nothing is published about who runs the company, where the data comes from, or what legal basis supports it, there is no match-rate commitment behind the attractive unit price, and the free tier withholds phones so you cannot test the thing you are buying. Take it if LinkedIn is already your list and you want the cheapest honest credit in the category. Do not take it if a procurement questionnaire is coming, or if you need to build lists when LinkedIn is not available.

Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.