Endole vs Kaspr (2026): Which B2B Data Tool Should You Pick?
Endole maps UK company financials and directors. Kaspr pulls direct dials off LinkedIn. They solve different halves of the same problem — here's which one belongs in your 2026 stack, and when you need neither.

Endole vs Kaspr is not a fair fight. One tool picks the accounts. The other finds the people. Here is how to tell which gap you actually have.
TL;DR
- Endole and Kaspr are not real rivals. Endole is a UK company database. It holds financials, directors, credit risk, and filings. Kaspr is a LinkedIn-first contact database. It holds mobile numbers and work emails. One tells you which company to chase. The other tells you who to call.
- Pick Endole if you sell to UK-registered firms. You can score accounts on revenue, filing history, or credit risk before you open an email tool.
- Pick Kaspr if you live in LinkedIn Sales Navigator. You get direct dials, and per-seat pricing is fine while the team is small.
- Neither is a good general email finder. Endole gives you switchboard numbers at best. Kaspr's email coverage is thin off LinkedIn, and it charges per credit.
- The real stack has three parts: one account source, one contact source, one verification layer. Many teams run Endole for targeting, an email finder for reach, and a phone tool only where dials convert.
What are Endole and Kaspr?#
Both show up in "B2B data" shortlists. That is where the likeness ends.
Endole is a UK business data platform. It sits on top of Companies House filings plus its own extra sources. Search a company and you get the incorporation date, registered address, SIC codes, filed accounts, turnover estimate, director history, group structure, and a credit score. Endole Explorer is the paid tier. It turns that data into list building. Filter the whole UK register by industry, turnover band, headcount, region, or growth signal. Then export.
Kaspr is a contact-data tool, now part of Cognism. Its main interface is a Chrome extension. Open a LinkedIn profile, a Sales Navigator list, or a LinkedIn group, then hit the extension. It returns mobile numbers, work emails, and sometimes personal emails. It also ships a small in-app CRM with lists, tasks, and LinkedIn sequences.
So the honest way to read Endole vs Kaspr is not "which is better." Ask this instead: do you have an account-selection problem, or a contact-reach problem?
Endole vs Kaspr: head-to-head comparison#
| Dimension | Endole | Kaspr |
|---|---|---|
| Core job | UK company intelligence + list building | Contact discovery (phone + email) |
| Primary data source | Companies House filings, aggregated public records | LinkedIn profiles + community-contributed contact pool |
| Geographic strength | UK (and Ireland via linked datasets) | Europe-strong, decent US, weaker APAC |
| Phone numbers | Company switchboard / registered numbers | Direct mobile numbers (its flagship feature) |
| Email addresses | Limited, mostly generic company addresses | Work emails on most enriched profiles |
| Firmographics | Deep — turnover, accounts, credit score, directors | Shallow — headcount, industry, location |
| Interface | Web app + exports | Chrome extension + light web app |
| Pricing model | Subscription tiers, UK-focused | Per-seat with credit allocations |
| Free option | Free basic company lookups | Free plan with a small monthly credit allowance |
| Best for | ABM targeting, credit-aware sales, UK SMB outbound | SDRs doing LinkedIn-sourced multichannel outreach |
That table is the whole argument in miniature. Endole answers one question: is this account worth my time, and can it pay? Kaspr answers another: what is this person's mobile? Buy one when you needed the other and you will feel it inside a week.
What does Endole do well?#
Four things. Each one is hard to copy.
- Money checks before outreach. Filter to UK firms with £2m–£10m turnover, positive net assets, and accounts filed in the past 12 months. That single filter kills more wasted sequences than any subject-line test.
- Credit and risk signals. Do you sell on payment terms? Then a credit score beats a mobile number. Almost no contact-data vendor gives you this.
- Director and group maps. Endole shows director networks and parent/subsidiary links. If you sell into groups, this stops you pitching a unit with no budget.
- Firms that barely exist online. A 14-person UK manufacturer with a 2016 website and no LinkedIn page is invisible to Kaspr. Endole has it on file.
Where it falls down: contact data. Endole hands you a registered office address and a main switchboard line. It will not hand you the Head of Operations' inbox. You still need a bridge from "this company fits" to "here is the buyer's email." That gap is why most Endole users add a second tool. A domain search pulls every published address on the company domain. Verify those addresses, then send.
What does Kaspr do well?#
Kaspr sells speed inside LinkedIn. It keeps that narrow promise.
- Direct dials on European contacts. This is the best reason to buy it. Mobile coverage on UK, French, German, and Benelux profiles rivals far pricier tools. The Cognism link explains a lot of that.
- Bulk enrichment from Sales Navigator. Run a 500-profile search, enrich in one action, export. For an SDR building a weekly call list, that saves real time.
- GDPR posture. Kaspr says plainly that it notifies contacts in its database and honours deletion requests. That matters when legal asks hard questions about European prospecting.
- Built-in sequencing. It is light. Still, it covers LinkedIn connection requests plus a few follow-ups without a second tool.
Where it falls down:
- Credits vanish fast. Phone, email, and export credits are metered on their own on most plans. Teams often burn a month's allowance in ten days. Then they upgrade or stop prospecting.
- Per-seat cost scales badly. Five reps means five seats. Credits rarely pool as well as you would like.
- Off-LinkedIn coverage is weak. Many buyers keep no LinkedIn profile at all. That is common in trades, manufacturing, logistics, and much of the public sector. For those people, Kaspr has nothing.
- No firmographic depth. You cannot judge financial health with it.
Endole vs Kaspr pricing: what you actually pay#
Both vendors change prices. Treat the shape as right and the numbers as rough. Check the vendor pages before you buy.
| Cost factor | Endole | Kaspr | Tomba (for contrast) |
|---|---|---|---|
| Free option | Free company lookups, limited detail | Free plan, small monthly credit allowance | Free tier, 25 searches/mo |
| Entry paid tier | Explorer subscription, low-to-mid double digits GBP/mo | ~€49/user/mo range | $49/mo Starter |
| Mid tier | Higher tier for bulk export + API | ~€79–€99/user/mo range | $99/mo Growth |
| Team scaling | Subscription-based, not strictly per-seat | Per seat, credits often per seat | $249/mo Pro, shared credit pool |
| Charged per | Subscription + export limits | Phone / email / export credits | Search + verification credits |
| API access | Available on higher tiers | Available on upper plans | Included from paid tiers |
Two things fall out of that Endole vs Kaspr price table.
First, Kaspr's real cost tracks team size, not usage. A four-person SDR pod pays four times what a solo founder pays for the same database. Endole's model suits small teams sharing one login. Tools priced on a shared credit pool — see Tomba pricing — sit in between.
Second, neither pricing page shows your true cost per usable contact. A €49 plan that returns 60% valid emails costs more than a $49 plan that returns 95%. Bounces, a damaged sender reputation, and reps re-researching dead records all add up.
Endole vs Kaspr: which has better data coverage?#
It depends on what "coverage" means for your motion. Split it into four questions.
- Do you need every company, or every person? Endole covers almost the whole UK register. That is roughly five million active companies, dormant micro-entities included. Kaspr covers people with a LinkedIn presence. The two numbers do not compare.
- Do you need mobile numbers? Endole: no. Kaspr: yes. In Europe, that is its strongest asset.
- Do you need verified work emails at scale? Kaspr returns emails. Verify them yourself before a send. Run exports through an email verifier if your domain matters to you.
- Do you sell outside the UK? Endole's value drops off a cliff at the border. That is not a flaw. It is a UK product doing a UK job well. Still, global teams need a second targeting source.
Is there a reason to run both Endole and Kaspr?#
Yes, for one profile only: a UK-focused sales team selling a considered, credit-sensitive product to SMB and mid-market accounts, where phone is a main channel.
The workflow looks like this:
- Step 1 — Target in Endole. Filter by turnover band, SIC code, region, and filing recency. Export the company list.
- Step 2 — Map buyers. Find the right roles at each company. This is the seam between the two tools. It is where most stacks leak.
- Step 3 — Enrich contacts. Use Kaspr for mobiles when the buyer is on LinkedIn. Use a pattern-based email finder for everyone else.
- Step 4 — Verify. Every address, every time, before it reaches a sending tool.
- Step 5 — Sequence. Email, call, and LinkedIn. Save the call for accounts that cleared the Endole financial filter.
For everyone else, running both is wasted spend. Sell globally and Endole is dead weight. Sell to firms whose staff avoid LinkedIn and Kaspr is dead weight.
What about compliance and data sourcing?#
Both vendors handle this better than the market average. That is a low bar, but it still counts.
Endole's data comes from public filings at Companies House plus other public sources. Its legal basis is about as clean as B2B data gets. Kaspr works under GDPR with a documented notice and opt-out process. As part of Cognism, it also inherits a compliance programme built for European enterprise buyers.
Ask either vendor one question. Ask us the same one. Where does each field come from, and how often is it re-checked? Vendors that publish an answer are safer than vendors that wave at "proprietary AI sourcing." Read Tomba's answer on our data sources page and compare like for like. Buyer reviews on G2 help too. They surface complaints about refresh rates and credit burn that never reach vendor marketing.
Endole vs Kaspr: which should you actually buy?#
Buy Endole if:
- Your ICP is UK-registered companies
- You qualify on turnover, accounts, or credit risk
- You sell into groups and need entity structure clarity
- You are happy to pair it with a separate contact-finding tool
Buy Kaspr if:
- LinkedIn is where you build lists
- Direct dials clearly lift your conversion
- Your prospects are European
- Your team is small enough that per-seat pricing stays sane
Buy neither if:
- Your main channel is email
- You sell outside the UK and outside LinkedIn-heavy industries
- Your bottleneck is reaching known accounts, not finding them
That last case is more common than either vendor admits. Plenty of teams already know their target accounts. The list came from a partner, a conference roster, an inbound trial cohort, or a scraped directory. What they lack is a reliable path from a domain to a verified inbox. Endole cannot do that. Kaspr can only do it when the person is on LinkedIn.
Where Tomba fits in the Endole vs Kaspr comparison#
Tomba solves the middle step both tools leave open. It turns a company or a name into a verified, sendable email address.
Give it a domain. Domain search returns every address it can find on that domain, plus the naming pattern it detects. Give it a first name, last name, and company. The email finder returns the address with a confidence score. Upload the Endole export you just built and bulk processing handles the whole list at once. Verification runs before anything reaches your sequencer.
Pricing is simple. The free tier is 25 searches a month. Starter is $49/mo, Growth is $99/mo, and Pro is $249/mo with a shared credit pool instead of per-seat billing.
None of this replaces Endole's credit reports or Kaspr's mobile numbers. It replaces the guesswork between them.
Start with the Tomba Email Finder free tier. Test it against a list you already have. Run 25 contacts from your current stack. Check the bounce rate against what you saw before. Then let the numbers pick the rest of your stack.
Related guides#
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