Comparison
DiscoLike vs Ocean.io
Ocean.io starts from seed domains, usually your closed-won customers, and returns companies that resemble them, with research and CRM delivery on top. DiscoLike starts from your ICP instead: a search model trained on validated ICP searches finds companies that do what you need across any territory or sub-industry, then takes them through research, contacts, and email verification.
TL;DR
Ocean.io was early to lookalike search and built its workflow around customer seeds: start from the accounts you won, find companies that resemble them, research them, and deliver them to your CRM. If your best customers already describe your market well, that is a strong workflow.
DiscoLike takes your ICP prompt and role description as the brief; customer lookalikes are an optional input. Trained on real ICP searches and their validated outcomes, its search model finds fitting accounts and the people who own the work, with email verification included. Contact charges apply only to contacts with a validated email. Across 87M+ business websites, radius, sub-industry, and homepage phrase targeting help explore fits beyond your customer seeds. Plans start at $99/mo, monthly or annual.
The other practical difference is how far the workflow goes in one product: ICP fit validation, DiscoGen research, contact search, and email finding and verification with catch-all resolution are all on every DiscoLike plan.
DiscoLike indexes more than 87 million companies: 3x LinkedIn's company coverage, 2x Google Maps coverage, 98% of businesses with a website, at over 99% company-record accuracy.
At a Glance
DiscoLike and Ocean.io, side by side
 | Ocean.io | |
|---|---|---|
| Starting point | A territory, sub-industry, ICP sentence, homepage phrase, or customer domains | Your closed-won customer segments |
| Company coverage | Directory of 87M+ business websites: 3x LinkedIn company coverage, 98% of businesses with a website | Company database built for customer-segment matching |
| Prioritization | Rank by company size or similarity to your best customers; employee and revenue ranges for private companies | Lookalikes seeded from your won customers |
| Local and niche targeting | Geolocated companies with radius and area targeting, close to 300 SMB sub-industries | Segment and filter targeting around customer patterns |
| Research and contacts | DiscoGen account research, contact search, email verification in real time with catch-all resolution | Company research and contact data |
| Billing | Pay as you go: $5/1,000 new records; subscriptions $99-$1,599/mo published plans; the full subscription converts to credits | Pricing shown after signup or through Ocean.io; check current usage allowances |
| Seats | Unlimited users on every plan, one workspace price | Unlimited seats on every tier |
| For AI agents | MCP server and REST API with OAuth, plus SDK and CLI | MCP server too |
Ocean.io details reviewed October 8, 2026 from the public product and pricing pages linked below. Spotted something outdated? and we'll fix it.
Customer patterns and an ICP brief
Ocean.io's strength is extending a customer segment you already understand. Seed it with closed-won accounts and it finds and ranks companies that resemble them, then helps research them and push them to the CRM. Seeding from customers beats picking industry codes, and Ocean made that approach popular.
DiscoLike lets you describe the work a fitting company must do and the role you need to reach. Its search model is trained on ICP searches whose results customers validated, so customer resemblance is one input to the brief. Radius targeting, close to 300 SMB sub-industries, and homepage phrase matching refine discovery across 87M+ business websites; size and customer similarity remain useful priorities.
Ocean ranks the companies that look like your customers. DiscoLike selects for your ICP and role brief, with lookalikes and size as additional inputs.
Test it with specialist manufacturers
Pick a defined region and a specialist manufacturing niche, and include a few known good fits that are unlike your largest customer. Run Ocean from your customer seeds and DiscoLike from the region and sub-industry. Apply the same acceptance rules and count accepted new accounts, how useful the size information is for private firms, and how many relevant contacts each workflow produces.
In DiscoLike the same sample continues in one place: validate fit, research each account with DiscoGen, find validated contacts with email verification in real time and catch-all resolution included. Only validated contacts reach your results. This tests coverage as well as similarity.
Pricing you can check before signup
Ocean.io no longer lists prices publicly; its pricing page leads to signup, so ask for current credit rates and allowances for search results, emails, and phones.
DiscoLike publishes its rates: $99 to $1,599/mo, with the subscription converting to credits spent at $1.50-$3.50/1,000 new records on subscriptions ($5 on Pay as you go) depending on plan, with no per-query fee. Records retrieved within 24 hours on Pay as you go or 30 days on subscriptions are free to retrieve again; older records are chargeable again. Compare cost per accepted account and per usable contact, not per raw row. Full breakdown on the pricing page.
Where Ocean.io genuinely wins
Lookalike search seeded from your own won customers, with research and CRM delivery in the same flow. Native placement in the Clay ecosystem. Bombora-powered intent data, which DiscoLike doesn't offer. EU headquarters and a GDPR-native posture that matters in European enterprise procurement. If your best customers already describe the market you want, Ocean is a rational choice.
Agent flows: from no account to first search
On DiscoLike the whole flow runs without a person opening a browser until payment. The agent posts the person's work email and name to POST /v1/public/signup, relays the next_step text, and the person confirms by email, keeps Pay as you go or subscribes, and authorizes the MCP client or issues a key. From there the agent authenticates with OAuth 2.1, so no secret sits in a config file, calls count before any large search so it knows the spend, and reads pricing.md, mcp.md, api.md, and llms.txt for the rules. The CLI emits JSON, the Python SDK validates parameters locally, and a published skill teaches Claude Code, Codex, and Cursor when to reach for all of it.
Ocean.io's MCP server at api.ocean.io/mcp is official but authenticates with an API token in the query string of the server URL. That means the secret lives in every client config file and every log line that records the URL. Ocean.io's docs describe no agent-driven signup and no free count call; the person creates the account and key in the web app and hands the token to the agent.
Ocean.io gives an agent a working server with a key in the URL. DiscoLike gives it OAuth, a signup endpoint, and a free count.
Fit
Which one is right for you?
Choose DiscoLike if
- Your market includes good fits that don't resemble your current customers
- You target by territory or by one of close to 300 SMB sub-industries
- You want to rank private companies by size as well as similarity
- You need research, contacts, and email verification in real time with catch-all resolution in the same tool
- You want published per-record rates before you sign up
Choose Ocean.io if
- Your closed-won customers already define the segment you want to extend
- You want lookalikes seeded from your own wins, delivered to your CRM
- Bombora intent data is part of your workflow
- You're a European team and GDPR posture is a procurement requirement
FAQ
Common questions
How is DiscoLike's lookalike search different from Ocean.io's?
Ocean.io builds its workflow around your closed-won customers and returns companies that resemble them. In DiscoLike, describe your ICP and the role you need to reach. A model trained on validated GTM searches selects fitting companies and people, with email verification in the same workflow. Lookalikes, radius, sub-industry, and homepage phrases refine discovery across 87M+ business websites.
Does DiscoLike handle contacts and email verification?
Yes. Contact search ships on every plan with email verification in real time and catch-all resolution included. You pay only for validated contacts with an email. Each validated contact costs 5 records at your plan rate, with a $10 per 1,000 floor, plus 1 record per company that delivers a validated contact when you search without your own company list. Validated and Validated (catch-all resolved) cost the same. Every delivery is billed, including repeats.
How do DiscoLike and Ocean.io compare on price?
Ocean.io no longer publishes prices; its pricing page leads to signup. DiscoLike charges $1.50-$3.50/1,000 new records on subscriptions ($5 on Pay as you go) depending on plan, with no per-query fee, from $99/mo, and repeat retrievals are free for 24 hours on Pay as you go or 30 days on subscriptions. Compare the cost per accepted account on the same segment.
Does DiscoLike integrate with Clay like Ocean.io does?
Yes. DiscoLike integrates with Clay, plus optional HubSpot, Salesforce, and Pipedrive connectors, Zapier, N8N, webhooks, a REST API, and an MCP server for AI agents, all included on every plan.
Does Ocean.io have an MCP server, and how does DiscoLike's compare?
Yes. Ocean.io documents an official remote MCP server at api.ocean.io/mcp authenticated with an API token passed in the URL. DiscoLike's server uses OAuth 2.1, so nothing secret sits in a config file, and exposes 46 tools across discovery, enrichment, contacts, segmentation, and CRM push over a directory of 87M+ business websites. Ocean.io's pricing page blocks automated checks, so verify plan gating on their site.
Explore company discovery & prospecting or read the category buying guide.
Researching the wider market? Read best Ocean.io alternatives.
More comparisons
Testimonials
Hear it from our users
Jeff Rolf von den Baumen
Co-Founder & CEO, PipeRich
"DiscoLike is the primary account discovery source behind our campaigns, for many of our clients. Overall, my favorite data source, and we love leveraging it on behalf of our clients."
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."
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."
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."
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."
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"
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!"
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."
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"
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"
See how many of your accounts actually fit
- Search by ICP prompt and role description
- Start free with a $5 credit, no card needed