1. [Compare](/compare.md) 2. Ocean vs PandaMatch # Ocean vs PandaMatch: pricing and how they compare PandaMatch returns a list of company domains that resemble a few you give it, or a description you write. Ocean uses contextual intelligence to find your next deal, with the reason on every account. [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api) [See PandaMatch pricing](#how-much-does-pandamatch-cost) Ask AI to compare * [Ask Claude to compare Ocean and PandaMatch (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20PandaMatch%20for%20lookalike%20company%20search%3A%20how%20each%20finds%20similar%20companies%2C%20learning%20from%20CRM%20deals%2C%20the%20reason%20on%20each%20account%2C%20contact%20data%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-pandamatch%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and PandaMatch (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20PandaMatch%20for%20lookalike%20company%20search%3A%20how%20each%20finds%20similar%20companies%2C%20learning%20from%20CRM%20deals%2C%20the%20reason%20on%20each%20account%2C%20contact%20data%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-pandamatch%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and PandaMatch (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20PandaMatch%20for%20lookalike%20company%20search%3A%20how%20each%20finds%20similar%20companies%2C%20learning%20from%20CRM%20deals%2C%20the%20reason%20on%20each%20account%2C%20contact%20data%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-pandamatch%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and PandaMatch (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20PandaMatch%20for%20lookalike%20company%20search%3A%20how%20each%20finds%20similar%20companies%2C%20learning%20from%20CRM%20deals%2C%20the%20reason%20on%20each%20account%2C%20contact%20data%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-pandamatch%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and PandaMatch (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20PandaMatch%20for%20lookalike%20company%20search%3A%20how%20each%20finds%20similar%20companies%2C%20learning%20from%20CRM%20deals%2C%20the%20reason%20on%20each%20account%2C%20contact%20data%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-pandamatch%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) Updated November 13, 2026. [See sources](#sources) Used by teams at * Coinbase * Revolut * Stripe * HubSpot * Harmony * Productboard * Twilio * Qualtrics * Seismic * Datadog * Jeeves * Plaid * Gartner * PostHog * Decagon * Orb * Rippling * Copy.ai * Aircall * beehiiv * TextExpander * Intercom * Deel * Radisson Hotel Group * Schneider Electric * Swisscom * Micron Technology * GSK * Sony * [How they differ](#how-they-differ) * [Comparison](#ocean-vs-pandamatch) * [PandaMatch cost](#how-much-does-pandamatch-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-pandamatch) * [Alternatives](#pandamatch-alternatives) * [FAQ](#pandamatch-faq) --- ## How do Ocean and PandaMatch differ? ### ![PandaMatch logo: PandaMatch alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/pandamatch-mark.webp?width=256) PandaMatch Finding companies like a seed set, cheaply, down to small sites not on LinkedIn. A fit for agencies and local-market teams. PandaMatch is a company-discovery tool. You give it up to 10 domains, keywords, an exact text fragment or a written description, and it returns company domains with a similarity score, public emails and phones from the sites, social links and an address. ### Ocean Learning which companies fit from your own won and lost deals, then ranking the market with the reason on each account. Ocean is contextual intelligence for go-to-market. It reads what every company actually does from its own website, learns what good looks like from your closed-won and closed-lost deals, and ranks your whole market against it, with the reason behind each score. The ranked accounts arrive in your CRM, your rep queue or your AI agents. --- ## PandaMatch and Ocean features, side by side What buyers weigh, grouped by the job each part does. A light blue background marks the stronger side. __Ocean vs PandaMatch comparison__ | Topic | Ocean | PandaMatch | | --------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Finding the right accounts | | | | Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Domain search takes up to 10 seed domains. Description search takes a written paragraph. Keyword and exact-text searches narrow it, and negative versions exclude what you don’t want. | | Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Starts from the domains or description you supply. It doesn’t describe learning from your CRM deals or your lost deals. | | The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Each result carries a similarity score. The docs don’t describe a written reason for why a company matched. | | Segments and filters | Segments your whole market and shows win rate, deal size and cycle time for each segment. | Country and US state, company start date, a size score from 0 to 800, minimum similarity, social-profile presence, and redirecting domains. | | Contacts and data | | | | Company data | 85M+ companies, built from the open web. | Directory of company domains with firmographics and parent-subsidiary links, per its Databar listing. Start dates come from the first certificate issued to the domain. | | Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Returns the public emails, public phones and social links found on each company’s site. It points you to Apollo or Clay for named contacts. | | Small and local companies | 85M+ companies, built from the open web. | A stated strength: it surfaces small sites that aren’t on LinkedIn or Google Maps, and lets you exclude them by requiring a LinkedIn profile. | | Workflow and pricing | | | | CRM sync | Ocean is stronger here. Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | CSV export, a REST API on the Team and Agency plans, and Databar and Clay as connectors. No native CRM sync is described. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | The docs describe an API with an API key and client key, not an MCP server. | | Security and company scale | Ocean is stronger here. SOC 2 Type II and GDPR, per Ocean’s own site. | We found no security page, SOC 2 report or GDPR documentation. Its product docs are public. Ask for the data-source terms before using it on customer lists. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Starts at $20 a month, per its co-founder. Third-party directories list $99, $249 and $699 tiers. It doesn’t publish a pricing page. | --- ## How much is PandaMatch? PandaMatch sells monthly search and record allowances. There’s no public pricing page, so the plans below come from a third-party directory and its co-founder. Confirm in the app. * The entry plan: 100 searches, about 2,500 record credits and up to 25 records per search, per a third-party directory: $20 a month * Starter, for 100 searches, 25,000 records and up to 2,000 records per search. Team is $249 for 200 searches and 75,000 records, and includes API access: $99 a month * Agency, for 500 searches, 250,000 records and up to 10,000 per search. The co-founder said it rose from $299 in July 2024: $699 a month ### What the price leaves out Allowances are counted in searches and records, not contacts, so the cost of a named, verified contact comes from Apollo, Clay or another provider on top. Prices have moved before and we couldn’t see a live pricing page, so treat every figure as a starting point. ### How Ocean charges A flat-rate plan with credits included, or a custom plan built around your deals. Contacts are charged only when one is found. Exports are free. [See Ocean pricing](/pricing.md) --- ## Should you choose Ocean or PandaMatch? PandaMatch gets you a long list of look-alike company domains cheaply. Ocean tells you which of them look like the companies you actually close. ### Choose PandaMatch if * You want a large, cheap list of lookalike domains for outbound * You sell to small or local businesses that aren’t on LinkedIn * You’re comfortable pairing it with Apollo or Clay for contacts ### Use both if * You run both and want one ranked list: use PandaMatch for breadth and Ocean to rank the matches against your deals * You already use Databar, where both are available [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * You want the ICP learned from your won and lost deals, not a seed list * You want the reason on every account * You need native CRM sync, SOC 2 Type II and a documented security posture * You need a shortlist you can defend to sales, not a long list to sift [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from PandaMatch to Ocean Five steps. Most teams keep PandaMatch for breadth and add Ocean to rank the matches. ### 1. Export your PandaMatch lists Export the domains with their similarity scores, and note the seed domains and descriptions behind each list. ### 2. Run the same companies through Ocean Compare the ranking to your closed-won deals, and see which of the PandaMatch results Ocean scores low and why. ### 3. Connect your CRM Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like. ### 4. Review the segments and scores Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell. ### 5. Send scored accounts Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences. ### Questions to ask before you rely on PandaMatch for targeting * **How does it decide that a company is similar, and can it show why?** Expect a score or a label with little behind it, because explanations are the hard part; ask about one real account. * **Where does its company data come from, and how often is it refreshed?** Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list. * **Can it share a security report or data-processing terms for customer lists?** Expect a trust-center link or a request form, because reports sit behind a sales step; ask for the date and scope. * **Does it learn from our won and lost deals, or only from the seeds we paste in?** Expect rules, filters and signals you set, because a model of your own deals is not what it leads with; ask for a test on your accounts. Ocean is better because it tells it like it is: contextual intelligence to find your next deal, with the reason on every account. [Start using Ocean](https://book.ocean.io/inbound/api) --- ## How do other PandaMatch alternatives compare to Ocean? The right alternative depends on what you use PandaMatch for. Here’s what each is built for and where Ocean starts. ### [![DiscoLike logo: DiscoLike alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/discolike-mark.webp?width=192)DiscoLike](/compare/ocean-vs-discolike.md) * Built for: Teams that find every company in a market, then check ICP fit, signals and contacts. * Where Ocean starts: Ocean learns what a good account looks like from your closed-won deals, then ranks the whole market against it. ### [![Goava logo: Goava alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/goava-mark.webp?width=192)Goava](/compare/ocean-vs-goava.md) * Built for: Nordic sales teams that want ICP scores learned from their CRM deals in Sweden, Norway, Denmark and Finland. * Where Ocean starts: Ocean learns from your deals the same way, in every market, and shows the reason on each account. ### [![Clay logo: Clay alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/clay-mark.webp?width=192)Clay](/compare/ocean-vs-clay.md) * Built for: GTM engineers who assemble custom enrichment and research workflows from many data sources. * Where Ocean starts: Ocean starts from your closed-won deals and ranks the market, instead of a build. ### [![Apollo logo: Apollo alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/apollo-mark.webp?width=192)Apollo](/compare/ocean-vs-apollo.md) * Built for: Contacts and sequencing in one tool, with published self-serve plans. * Where Ocean starts: Ocean starts from which accounts deserve outreach, then pushes contacts to Apollo, Instantly or Lemlist sequences. ### [![ZoomInfo logo: ZoomInfo alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/zoominfo-mark.webp?width=192)ZoomInfo](/compare/ocean-vs-zoominfo.md) * Built for: Contact and direct-dial volume, with third-party intent, in one contract. * Where Ocean starts: Ocean ranks accounts from your closed-won deals instead of selling a database. --- ## PandaMatch pricing and alternatives: common questions Short answers on what PandaMatch costs, how its lookalikes work, how Ocean compares and what to check before you buy. **What is PandaMatch?** A company-discovery tool that returns company domains similar to up to 10 domains, keywords or a written description you give it, with a similarity score, public contact details from each site and filters for location, size and social presence. It’s also available through an API and inside Databar. **How much does PandaMatch cost?** Its co-founder says plans start at $20 a month. A third-party directory lists $20, $99, $249 and $699 tiers by searches and record credits. PandaMatch doesn’t publish a pricing page that we could find, so confirm in the app. **How do PandaMatch lookalikes work?** You supply seed domains or a description, and it ranks other company domains by similarity to the website content. It starts from the seeds you choose. Ocean learns from all your won and lost deals and shows the reason on each match. **Has anyone compared PandaMatch with Ocean?** Yes. An agency that works with RB2B posted a test of 10,000 customers: PandaMatch found lookalikes for 4,987 and Ocean for 2,435, and PandaMatch needed fewer emails per signup. The poster noted it reflects their own offer and data. It’s a single, early-2025 test, so run your own. **Does PandaMatch have an MCP server or API?** It has an API, with an API key and client key, on the Team and Agency plans per a third-party directory. The docs don’t describe an MCP server. Ocean has an MCP server and a public API on the same data and lookalike engine. **Does PandaMatch integrate with my CRM?** It exports CSV and connects through Databar and Clay. No native CRM sync is described. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio. **Is PandaMatch ready for an enterprise security review?** We found no security page, SOC 2 report or GDPR documentation, and no pricing page. The product docs are public. Ask for a security report, data-source terms and a data-processing agreement before using it with customer lists. **How does Ocean find lookalike companies?** Ocean reads what each company does from its own website, learns from your closed-won and closed-lost deals, and returns ranked matches with the reason on each one. --- ## Sources (13) checked November 13, 2026 * [PandaMatch user docs](https://docs.pandamatch.io/) * [PandaMatch API request example](https://docs.pandamatch.io/api/request-example) * [PandaMatch PandaHacks](https://docs.pandamatch.io/pandahacks) * [PandaMatch on Databar](https://databar.ai/explore/pandamatch) * [PandaMatch overview (Salesforge directory)](https://www.salesforge.ai/directory/sales-tools/pandamatch) * [PandaMatch review (ColdIQ)](https://coldiq.com/tools/pandamatch) * [PandaMatch pricing update (co-founder, LinkedIn)](https://www.linkedin.com/posts/avivjoseph%5Fnew-updates-to-pricing-for-pandamatch-activity-7222239669134974977-H3Cx) * [PandaMatch vs Ocean.io test (RB2B partner agency, LinkedIn)](https://www.linkedin.com/posts/taylorharen%5Fwe-finally-wrapped-up-our-pandamatch-vs-activity-7279916859762569216-4wGP) * [DiscoLike](https://www.discolike.com/) * [Goava](https://www.goava.com/en) * [Clay](https://www.clay.com/) * [Apollo pricing](https://www.apollo.io/pricing) * [ZoomInfo pricing and product pages](https://www.zoominfo.com/pricing) --- ## What teams say about Ocean [All case studies](/case-studies.md) --- > Today we can more confidently say we're reaching out to all the companies that could potentially buy from us. > > — Josh Pudnos, Director of Commercial Operations, Brandwatch [Read Brandwatch's story](/case-studies/brandwatch.md) > With Ocean.io we can focus our ad spend on the right companies. > > — Martin Nørgaard Klausen, Co-Founder, Lead Motor, Zen Media [Read Zen Media's story](/case-studies/zenmedia.md) Laura Salmina, Sales Developer at Tele2 IoT [Read Tele2 IoT's story](/case-studies/tele2.md) Julian Berbec, Growth Marketer at Monta [Read Monta's story](/case-studies/monta.md) > Working with a trusted partner saves a ton of engineering time and ongoing AI costs. Speed and quality are higher out of the gate. > > — Stefan Kollenberg, Data Partnerships, Clay [Read Clay's story](/case-studies/clay.md) > Ocean.io reduced our average cost per Marketing Qualified Lead by 23%. > > — Garrett Butler, Digital Engagement, CBC [Read CBC's story](/case-studies/cbc.md) > Ocean.io expands the sea into an ocean, and Scalestack is great at fishing in this vast ocean. > > — Ezequiel, Head of Product Operations, Scalestack [Read Scalestack's story](/case-studies/scalestack.md) > Ocean.io allows us to identify lookalike companies with incredible accuracy. > > — Maged, Head of Product, Surfe [Read Surfe's story](/case-studies/surfe.md) --- [ocean.io logomark](/index.md) ocean.io logotype [Home](/index.md) [Discovery](/index.md) [Workflows](/index.md) [Context studio](/index.md) [Search](/index.md) [Assistant](/index.md) [Leads](/index.md) [API](/index.md) [Extension](/index.md) Recommendations Segments Models ### Recommendations 1,304 companies Tier 1 · 68 Tier 2 · 241 Tier 3 · 512 Tier 4 · 483 All CRM statuses 1 | Company | Score | Segment | Matched signals | Status | Location | | --------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------------ | ---------------------------------- | ------- | -------------- | | ![Moss logo](https://cdn-bunny.ocean.io/logos/getmoss.com/5cd47a9faf8cd98ac4805334af0a3a31be1edb6c.png?width=72) Moss | T1 92 | Mid-market FinTech | Industries: FinTech +2 | Net new | Germany | | ![Spendesk logo](https://cdn-bunny.ocean.io/logos/spendesk.com/680a4a70ec12e26b7920057edb74b23cfc8af299.png?width=72) Spendesk | T1 89 | Mid-market FinTech | Industries: FinTech +2 | Net new | France | | ![Brex logo](https://cdn-bunny.ocean.io/logos/brex.com/2c66f22edd5c0a2cb1eec442e151128e4e8019a8.png?width=72) Brex | T1 86 | Mid-market FinTech | Industries: FinTech +2 | Net new | United States | | ![Payhawk logo](https://cdn-bunny.ocean.io/logos/payhawk.com/a80969444c1e52f57ae3374048cab1e00e0fdb22.png?width=72) Payhawk | T1 83 | Mid-market FinTech | Industries: FinTech +2 | Net new | United Kingdom | | ![Ramp logo](https://cdn-bunny.ocean.io/assets/custom/pricing/ramp-logomark.webp?width=72) Ramp | T2 79 | Mid-market FinTech | Industries: FinTech +2 | Net new | United States | | ![Rydoo logo](https://cdn-bunny.ocean.io/logos/rydoo.com/32e0ac2fe888f3db8ff3e0eeef98dacb410722b6.png?width=72) Rydoo | T2 74 | Mid-market FinTech | Industries: Software +2 | Net new | Belgium | | ![Circula logo](https://cdn-bunny.ocean.io/logos/circula.com/7a2303a2a1b191b8bcda9eff1af4ec066361f27d.png?width=72) Circula | T2 68 | Mid-market FinTech | Industries: Software +2 | Net new | Germany | | ![Wallester logo](https://cdn-bunny.ocean.io/logos/wallester.com/91c6be05eb0e08e95d0b13c9b1216345389226c2.png?width=72) Wallester | T2 63 | Mid-market FinTech | Industries: Financial Services +2 | Net new | Estonia | ## Move with your market * Context learned from your closed-won deals * Accounts ranked on fit, with the reason shown * Direct push to Salesforce, HubSpot, Pipedrive and Attio [Start for free](https://book.ocean.io/inbound/api) [Book a demo](https://book.ocean.io/inbound/api)