Clean data layer · API · MCP

The clean data layer for GTM engineers.

Stop stitching Apollo, lookalikes, and Google Maps scrapes. Start from one clean source that already has every business website, niche to global. Then enrich and validate through one API or MCP.

70M+ companies · 98%+ of the market · 3x LinkedIn coverage · primary-source

Query
Find competitors of stripe.com
FINANCIAL_SERVICES B2B lookalike: stripe.com
248,315 companies · ranked by fit ● clean
CompanyTech stackFit
checkout.com AWSAlgolia 100
adyen.com AdobeDocuSign 100
dlocal.com HubSpotCloudflare 100
worldpay.com CloudflareContentful 99
paddle.com Auth0Drift 99
one clean source · no waterfall · export, API or MCP
3x
more coverage than LinkedIn-scraped tools
70M+
companies indexed, primary-source
98%+
coverage of companies worldwide
50
languages, 180+ countries

Trusted by 200+ GTM teams

Affinity
Clay
Cold IQ Cold IQ
StackOptimise StackOptimise
HG Insights
Relevance Relevance.
Blueprint Blueprint
Understory understory
OutBoundless OutBoundless
LeadSpot
TealBook
Databar.ai
Seam AI
Workflows.io workflows.io
SalesTech Scout SalesTech Scout
BrandShield
Leadbird.io
Affinity
Clay
Cold IQ Cold IQ
StackOptimise StackOptimise
HG Insights
Relevance Relevance.
Blueprint Blueprint
Understory understory
OutBoundless OutBoundless
LeadSpot
TealBook
Databar.ai
Seam AI
Workflows.io workflows.io
SalesTech Scout SalesTech Scout
BrandShield
Leadbird.io

The difference

From a six-vendor waterfall to one clean source.

GTM engineers stitch Apollo, lookalike tools, and a Google Maps scrape for the local and niche companies no one else has. Start clean instead. We already index every business website.

Why start from the primary source
The waterfall you babysit ~a day / list
LinkedIn-scrape tools
Lookalikes (LinkedIn-based)
Scrape / crawl
Claygent
dedupe / validate / clean dead
contact enrichment
pray

Five bills, five schemas, duplicate rows, bounced "verified" emails, and a validation pass every single time.

DiscoLike minutes
one clean source
validated, no dead domains
AI research & enrichment
contacts
done

Validation, AI enrichment, and contacts are built into the same source, not bolted on after. One bill, no scraping, no re-validation.

Products

Three engines, one dataset.

Discover companies, enrich and validate, resolve the contacts no one else has. Each runs on the same primary-source data, callable by hand, by API, or by MCP.

Discover Companies

Find any company across 70M+ domains with lookalike, natural-language ICP, and exact-phrase matching. Technographics on every domain.

DiscoGen Enrichment

Research, enrich, and validate with your own keys. Your Claygent, running on clean data instead of a scraped list.

ContaGen Contacts

Find the contacts no other tool surfaces, with your own provider keys. Verified emails waterfalled for you, so you never stitch a people stack again.

"I spent months looking for an alternative to Claygent. I found DiscoGen by DiscoLike."

Fivos Aresti · @fivosaresti
The Claygent alternative →

Capabilities

One clean source for every GTM job

Search across 98% of existing companies

A business domain directory spanning 50 languages, including the small, private, and international companies other tools never index.

Results primary-source
electric.ai IT Services
solvhealth.com Healthcare
abbyy.com Software
bringg.com Supply Chain

Validate, enrich, and find the decision-maker

Upload your existing list to match missing domains, append firmographics, and surface the right contact at each company.

DomainDecision-maker
nvidia.com Jensen Huang Founder & CEO
salesforce.com Marc Benioff CEO
zoom.us Eric Yuan Founder & CEO

Identify your ideal company profile

Identification of ideal customer segments directly from your current client list.

my-clients.csv → 4 segments
CybersecurityBig DataSoftwareMarketing

Target by any website signal

Every signal on a page is targetable, with more technographic vendor data than most specialized providers.

Signals extracted
Site textTech stackSocial linksMobile appsLocationsExact phrases

How it works

From the entire web to clean data in minutes

01

Describe your ideal company profile

Write your ICP in natural language, or drop in four or five sample domains and we generate the profile for you.

02

Add filters and match phrases

Layer on country, company size, and the exact words a homepage must include. Or go deeper with advanced targeting.

03

Export, or wire it into your stack

Take the ranked, enriched results as a list, or connect via API and MCP so your agents and CRM pull the same clean data on every run, kept current automatically.

Sample search

See a real search, start to finish.

From a plain-English ICP to a clean, enriched, validated list. No stitching, no re-validation pass. Try the filters yourself.

For builders · MCP · API · CLI

Start from clean, inside your agent.

DiscoLike is an MCP server and a clean API. Run search, technographics, and AI enrichment inside your agent or pipeline, straight from the primary-source index. No scraping, no stitching providers together.

claude mcp add --transport http discolike https://api.discolike.com/v1/mcp

Run in your terminal.

Claude Code · DiscoLike MCP
> build a fintech target list, validate the ICP, then find and enrich the contacts
01
discover-similar-companies Find
✓ 248,315 companies · ranked by fit
02
validate-icp-fit Validate ICP
✓ ICP confirmed · seed set matched
03
search-contacts Find contacts
✓ 966,453 decision-makers · emails validated
04
run-discogen-personas ContaGen
✓ researched + enriched · synced via API

Why DiscoLike

What scrapers can't give you

DiscoLike
Other platforms
~3x the LinkedIn coverage of any other platform
Aging LinkedIn scrapes, stale keywords and descriptions
Every niche, local, and private company, not just the LinkedIn mainstream
Scrape Google Maps for locals and still miss the long tail
SSL-validated domains, with no parked, dead, or obsolete records
1 in 5 records is a wrong, parked, or dead domain
Lookalike and natural-language domain search
No natural-language search; "lookalike" is just keyword matching
Exact phrase or word match on homepage text for site-intent targeting
Build your own Clay or N8N automation just to read website text
Contacts and verified emails resolved for you with ContaGen
Bounce-prone "verified" emails, or yet another tool bolted on
AI research and enrichment on clean data with DiscoGen (bring your own key)
Run Claygent over a scraped list, re-clean it every single run
Find your top-performing company profiles from your client and prospect lists
Weak segmentation: industry and employee count, nothing more

Domains found

49,203

Top similarity

99/100

Cold IQ case study results in DiscoLike

Case Studies

Find 1000's of high‑fit accounts missed by traditional tools

DiscoLike finds companies based on how they describe themselves, not how they're labeled.

  • Website-level matching
  • Domain similarity search
  • Language pattern detection
  • Database of 70M+ business domains

+15,000 new contacts discovered

Testimonials

Hear it from our users

Verified
Dan Rosenthal

Dan Rosenthal

Co-Founder, Workflows.io

"Discolike helped me map out 2M+ companies for over 15 different B2B companies, including a unicorn. I've used all the big prospecting databases, and I can confidently say Discolike is the best tool for building target account lists."

Verified
Alex Fine

Alex Fine

Co-Founder, Understory

"We've gone from struggling to find alternative lists outside traditional databases to basically having an untapped source of highly relevant companies. The way that Discolike operates on the back-end has been night and day vs their competitors."

Verified
Jordan Crawford

Jordan Crawford

Founder, Blueprint

"DiscoLike has unprecedented coverage of companies on the Internet. Their core technology has been instrumental in some of my sneakiest campaigns."

Verified
Felix Frank

Felix Frank

Founder, StackOptimise

"DiscoLike's segmentation is a powerful tool. It splits the client list into clearly labeled groups we can easily work with, saving us hours on ideal company profile identification."

Verified
Panos Sisamos

Panos Sisamos

Co-Founder, Relevance.

"DiscoLike is right next to Clay in my tech-stack. Took me a couple of hours to get the hang of it, but now I can't live without it. Our process at Relevance relies heavily on accurate TAM mapping, and no one does it better than DiscoLike"

Verified
Patrick William Joyce

Patrick William Joyce

CEO, Outboundless

"DiscoLike's GTM toolbox is awesome for our daily grind, matching account names to domains like a breeze, segmenting our client list into spot-on company profiles, and modeling target accounts for each one to keep our B2B pipeline humming!"

Verified
Raouf Lemouchi

Raouf Lemouchi

Founder, SalesTech Scout

"DiscoLike has a strong lookalike domain search, their wizard makes it incredibly easy to find high-quality prospects that match our ideal customer profile. Being able to automatically segment my targets is a really good feature."

Verified
Alex Vacca

Alex Vacca

Co-Founder, Cold IQ

"DiscoLike has quickly become a must-have in our campaign workflow. It's incredibly good at uncovering look-alike prospects and companies"

Verified
Nick Abraham

Nick Abraham

Founder, Leadbird.io

"Discolike has streamlined our list building process by allowing our team to create larger more accurate lists in half the time compared to regular data tools"

DiscoLike

Put a clean data layer under your GTM

  • 70M+ global company profiles
  • 1B company pages
  • GDPR & CCPA Aligned, ethical data collection
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