1. [Compare](/compare.md) 2. Ocean vs Lantern # Ocean vs Lantern: pricing and how they compare Lantern builds your ICP from closed-won deals and runs agents on top of 150+ data providers. 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 Lantern pricing](#how-much-does-lantern-cost) Ask AI to compare * [Ask Claude to compare Ocean and Lantern (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Lantern%20for%20B2B%20account%20targeting%3A%20ICP%20learning%20from%20closed-won%20deals%2C%20lookalikes%2C%20account%20scoring%2C%20data%20sources%2C%20agents%2C%20MCP%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-lantern%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Lantern (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Lantern%20for%20B2B%20account%20targeting%3A%20ICP%20learning%20from%20closed-won%20deals%2C%20lookalikes%2C%20account%20scoring%2C%20data%20sources%2C%20agents%2C%20MCP%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-lantern%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Lantern (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Lantern%20for%20B2B%20account%20targeting%3A%20ICP%20learning%20from%20closed-won%20deals%2C%20lookalikes%2C%20account%20scoring%2C%20data%20sources%2C%20agents%2C%20MCP%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-lantern%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Lantern (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Lantern%20for%20B2B%20account%20targeting%3A%20ICP%20learning%20from%20closed-won%20deals%2C%20lookalikes%2C%20account%20scoring%2C%20data%20sources%2C%20agents%2C%20MCP%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-lantern%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Lantern (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Lantern%20for%20B2B%20account%20targeting%3A%20ICP%20learning%20from%20closed-won%20deals%2C%20lookalikes%2C%20account%20scoring%2C%20data%20sources%2C%20agents%2C%20MCP%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-lantern%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-lantern) * [Lantern cost](#how-much-does-lantern-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-lantern) * [Alternatives](#lantern-alternatives) * [FAQ](#lantern-faq) --- ## How do Ocean and Lantern differ? ### ![Lantern logo: Lantern alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/lantern-mark.webp?width=256) Lantern Agents that run revenue workflows, from ICP to campaigns. A fit for teams that want agents on routed data. Lantern is an AI revenue platform with dozens of agents for sales, marketing and RevOps. Its Define Your ICP agent analyzes closed-won and closed-lost deals across 40+ attributes, and its target-list agent scores a sourced market weekly. ### Ocean Ranking your market from its own company data, learned from your deals, with the reason on every 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. --- ## Lantern 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 Lantern comparison__ | Topic | Ocean | Lantern | | --------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- | | Finding the right accounts | | | | Learns your ICP from won and lost deals | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | An ICP agent analyzes closed-won and closed-lost deals across 40+ attributes and refreshes the ICP quarterly as new deals arrive. | | Scoring the market | Ocean is stronger here. Ranks the whole market into tiers, with an exact count of the companies that match your filters. | Sources a market from many providers, then scores each account on fit, intent and behavior and tiers it weekly. | | The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | A composite score and tier built from firmographic, technographic, intent and behavioral signals. | | Where the company data comes from | Ocean is stronger here. 85M+ companies, from one maintained dataset, built from the open web. | A waterfall of 150+ third-party enrichment providers, routed per segment. | | Contacts and data | | | | Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Contact finding is free on the Free plan, work emails are free for 12 months, and mobile numbers start on Growth. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | Web research, hiring, new hires, tech stack and competitor signals, with intent and visitor identification from Growth. | | Workflow and pricing | | | | Campaigns and execution | Doesn’t send. Hands ranked accounts and contacts to the sequencer you already use. | Builds and runs campaigns, ads, sequences and briefs from a single brief. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP server for Claude and ChatGPT on the Free plan, and an agent builder you steer by chatting. | | Pricing | Ocean is stronger here. Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Free for 40,000 credits a year, Growth at $313 a month, Strategic by quote. Unlimited seats. | --- ## How much is Lantern? Lantern publishes a free plan and one self-serve paid plan. Seats are unlimited, and credits meter the work. * Free, with 40,000 credits a year, one agent, the MCP server and Salesforce and HubSpot integrations: $0 * Growth, billed annually at $3,750, with 50,000 credits a year, unlimited agents, visitor identification and phone numbers: $313 a month * Strategic, from 650,000 credits a year, with a forward-deployed engineer, SSO and APIs: By quote ### What the price leaves out Credits work across signals, contacts and agent outputs, and Lantern estimates Growth reaches about 1,300 accounts with three signals refreshed quarterly. Top-ups cost the plan rate plus 25%. Lantern’s enterprise page also describes outcome-scoped pricing that is not metered, so ask which model your contract uses. ### 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 Lantern? Both build an ICP from your closed deals. They differ in where the company data comes from, and in how much of the workflow comes with it. ### Choose Lantern if * You want agents that also run campaigns, routing, attribution and analytics * You want a free plan and unlimited seats * You’d like forward-deployed engineers to build your workflows ### Already on Lantern? * You’re comparing ICP agents on the same CRM * You want to see how each ranks the same accounts * You want Ocean’s market model inside the agents you already run [See how to switch](#switching-from-lantern) ### Choose Ocean if * Your main job is deciding which accounts to work, not running campaigns * You want one maintained company dataset, not a waterfall of providers * You want the same ranking every run, with the reason on each account * You want an exact market count and scores written back to your CRM [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Lantern to Ocean Five steps. You can keep Lantern’s agents and add Ocean as the account model behind them. ### 1. Check your plan and credits Find your plan, your credit balance and any top-ups, which cost 25% more than the plan rate. ### 2. Export your ICP and scored lists Export the ICP document, tiers and target lists your agents built, so you can compare Ocean’s ranking on the same accounts. ### 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 Lantern before you commit * **Which providers supply the company data behind the lookalikes, and who is responsible when they disagree?** Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list. * **How is the accuracy of the account score measured, and can you rerun it on our deals?** 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. * **What does our portfolio cost in credits at full volume, with top-ups?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **Is our contract credit-based or outcome-scoped, and what happens when volume changes?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **Can you share the SOC 2 report and the customer references your enterprise page describes?** Expect a trust-center link or a request form, because reports sit behind a sales step; ask for the date and scope. 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 Lantern alternatives compare to Ocean? The right alternative depends on what you use Lantern for. Here’s what each is built for and where Ocean starts. ### [![Keyplay logo: Keyplay alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/keyplay-mark.webp?width=192)Keyplay](/compare/ocean-vs-keyplay.md) * Built for: Teams that want ICP scores they can inspect and backtest, now part of Inflection. * Where Ocean starts: Ocean learns from your won and lost deals, covers any industry and finds the contacts too. ### [![Landbase logo: Landbase alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/landbase-mark.webp?width=192)Landbase](/compare/ocean-vs-landbase.md) * Built for: Teams that want natural-language audience search and outreach from one AI platform. * Where Ocean starts: Ocean learns from your own closed-won deals and leaves outreach to the tools you already use. ### [![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. ### [![DataMoon logo: DataMoon alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/datamoon-mark-v2.webp?width=192)DataMoon](/compare/ocean-vs-datamoon.md) * Built for: Teams that start from website visitors and intent topics, then activate them across channels. * Where Ocean starts: Ocean starts from which accounts fit your best customers, then lets intent decide when. ### [![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. --- ## Lantern pricing and alternatives: common questions Short answers on what Lantern costs, how its ICP agent works, how Ocean compares and what switching takes. **How much does Lantern cost?** Free is $0 with 40,000 credits a year. Growth is $313 a month, billed annually at $3,750, with 50,000 credits a year. Strategic is by quote. All plans have unlimited seats, and credit top-ups cost the plan rate plus 25%. **Does Lantern learn my ICP from closed-won deals?** Yes. Its Define Your ICP agent analyzes closed-won and closed-lost deals across 40+ attributes and refreshes the ICP quarterly. Ocean learns from your won and lost deals too, and ranks every company in the market with the reason shown. **Where does Lantern’s company data come from?** Lantern routes data through a waterfall of 150+ third-party enrichment providers. Ocean ranks companies from one maintained dataset built from the open web. **Does Lantern have an MCP server?** Yes. Lantern lists an MCP server for Claude and ChatGPT on its Free plan. Ocean has an MCP server and a public API on the same data and lookalike engine. **Does Lantern run outreach?** Yes. It builds campaigns, ads, sequences and briefs from a single brief. Ocean ranks the accounts and hands them to the sequencer you already use. **Is Lantern ready for an enterprise rollout?** Lantern says it is SOC 2 Type II and sells a forward-deployed engineer on its Strategic plan. Third-party directories list it as a seed-stage company of about 20 people, so ask for the SOC 2 report, customer references at your size and a written scope for the rollout. **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. **How do I switch from Lantern to Ocean?** Check your plan and credits, export your ICP document and scored lists, connect your CRM so Ocean reads your won and lost deals, review the segments and scores Ocean proposes, then send scored accounts to your CRM. --- ## Sources (11) checked November 13, 2026 * [Lantern](https://www.withlantern.com/) * [Lantern pricing](https://www.withlantern.com/pricing) * [Lantern: Define Your ICP agent](https://www.withlantern.com/agents/define-your-icp) * [Lantern: Build ABM Target List agent](https://www.withlantern.com/agents/build-abm-target-list) * [Lantern for enterprise](https://www.withlantern.com/enterprise) * [Lantern profile (FoundHQ)](https://www.foundhq.com/ai-for-rev-ops/tools/lantern) * [Keyplay](https://keyplay.io/) * [Landbase](https://www.landbase.com/) * [Clay](https://www.clay.com/) * [DataMoon](https://datamoon.com/) * [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)