1. [Compare](/compare.md) 2. Ocean vs Rox # Ocean vs Rox: pricing and how they compare Rox is a revenue-agent platform that researches accounts, finds and verifies contacts, runs outreach and prepares deals on top of your CRM. 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 Rox pricing](#how-much-does-rox-cost) Ask AI to compare * [Ask Claude to compare Ocean and Rox (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Rox%20for%20account%20prioritization%20and%20revenue%20agents%3A%20ICP%20fit%20scoring%2C%20lookalikes%2C%20learning%20from%20CRM%20deals%2C%20research%2C%20outreach%2C%20CRM%20sync%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-rox%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Rox (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Rox%20for%20account%20prioritization%20and%20revenue%20agents%3A%20ICP%20fit%20scoring%2C%20lookalikes%2C%20learning%20from%20CRM%20deals%2C%20research%2C%20outreach%2C%20CRM%20sync%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-rox%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Rox (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Rox%20for%20account%20prioritization%20and%20revenue%20agents%3A%20ICP%20fit%20scoring%2C%20lookalikes%2C%20learning%20from%20CRM%20deals%2C%20research%2C%20outreach%2C%20CRM%20sync%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-rox%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Rox (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Rox%20for%20account%20prioritization%20and%20revenue%20agents%3A%20ICP%20fit%20scoring%2C%20lookalikes%2C%20learning%20from%20CRM%20deals%2C%20research%2C%20outreach%2C%20CRM%20sync%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-rox%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Rox (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Rox%20for%20account%20prioritization%20and%20revenue%20agents%3A%20ICP%20fit%20scoring%2C%20lookalikes%2C%20learning%20from%20CRM%20deals%2C%20research%2C%20outreach%2C%20CRM%20sync%2C%20API%20and%20MCP%20access%2C%20security%20and%20pricing.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-rox%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-rox) * [Rox cost](#how-much-does-rox-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-rox) * [Alternatives](#rox-alternatives) * [FAQ](#rox-faq) --- ## How do Ocean and Rox differ? ### ![Rox logo: Rox alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/rox-mark.webp?width=256) Rox Running the work around an account end to end, on top of your CRM. A fit for teams that want agents across the whole motion. Rox gives sellers AI agents that sit on a knowledge graph built from your CRM, email, calendar and call data plus public information. Its Sales Intelligence agent finds companies that match an ICP and scores accounts and contacts against it. ### Ocean Learning which companies fit from your own won and lost deals, then ranking the whole 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. --- ## Rox 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 Rox comparison__ | Topic | Ocean | Rox | | --------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Finding the right accounts | | | | Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Prospecting finds new companies that match your ICP, with a prompt such as “find me 50 companies that look like my best customers.” The Outbound agent searches across accounts you already own. | | Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | ICP fit scoring rates accounts and contacts against an ICP you describe. Rox uses your CRM, email and call data as context, but its pages don’t describe learning the ICP from your won and lost deals. | | The reason behind each account | Segment, score, tier and matched signals on every account and every export. | Every lead gets a fit assessment with the reasoning shown, rejections say why, and each recommended next action shows the signal behind it. | | Segments your market | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Plan and prioritize target territories and accounts in the user guide. Win rate, deal size and cycle time by segment aren’t described. | | 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. | Pulls from 17+ enrichment providers, confirms each person is still in the role and verifies every email before an agent uses it. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | Funding, growth, hiring surges, site activity, leadership changes and earnings commentary, with alerts and a next step attached. | | Outreach, dialer and deal work | Ranks accounts and hands them off. Outreach and deal work stay in your own tools. | Multi-channel sequences, reply handling and meeting booking, meeting prep, deal-management agents, renewal flags and custom agents. | | Workflow and pricing | | | | CRM sync | Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | Salesforce with writeback, HubSpot and Microsoft Dynamics 365, plus email, calendar, Slack and Teams. Writeback is on the Teams plan. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | A public API, in alpha, to enrich companies and people, search prospects in plain language and validate matches. We found no MCP server documented. | | Security and company scale | SOC 2 Type II and GDPR, per Ocean’s own site. | SOC 2 Type 2 and GDPR, with a Trust Center that posts the SOC 2 report and a penetration-test summary. ISO 27001 is listed as coming soon. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Start free and pay for agent work: Individual $100 a month, Teams $255 a month with unlimited seats, Enterprise by quote. | --- ## How much is Rox? Rox meters agent work in Agent Actions. Every paid plan on its pricing page is billed monthly, and Teams includes unlimited seats. * Individual, for one seller: 10,000 actions a month, with account research, enrichment and multi-channel outbound. There’s a free start before upgrading: $100 a month * Teams, with 15,000 actions a month, unlimited seats, a shared workspace, CRM sync and writeback and team controls: $255 a month * Enterprise, adding data-warehouse sync, SAML, SCIM and SSO, and a dedicated deployment and support team: By quote ### What the price leaves out Different tasks use different numbers of actions, and a multi-step task can use many, so the monthly allowance depends on the work. Third-party reviews say unused actions don’t roll over. Rox’s mid-tier plan changed in August 2026, from a $50 Core plan to a $100 Individual plan, so older write-ups list different plans. ### 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 Rox? Rox works the accounts, contacts and deals in your book. Ocean decides which companies belong in that book, from what you actually won. ### Choose Rox if * You want agents that research, prepare and run outreach on your accounts end to end * You want one workspace across CRM, email, calendar and call data * You’re an enterprise team with a large named-account book to work ### Use both if * Ocean decides which new accounts belong in your CRM and why, and Rox’s agents work them once they’re there * You use Rox’s fit scoring on accounts you own and Ocean’s deal-learned ranking on the rest of the market [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * You want the ICP learned from your own won and lost deals, not described in a prompt * Your question is which companies in the whole market to add, not how to work the ones you have * You want market segments by win rate, deal size and cycle time * You want fit ranking you can use from any tool, without running agents [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Rox to Ocean Five steps. Most teams keep Rox for working accounts and add Ocean to choose which ones to add. ### 1. Export your scored and prioritized accounts Export the accounts with their Rox fit assessments, then run the same companies through Ocean to compare which it ranks highest against your closed-won deals. ### 2. Check your actions and renewal Find your plan, how many actions you’ve used this month and your renewal date. Unused actions may not roll over. ### 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 Rox for targeting * **Does the ICP fit score learn from our won and lost deals, or from a description we write?** 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. * **How many actions does re-scoring our whole market cost each month?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **How does it decide which accounts that aren’t in our CRM yet should be?** 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. * **Is there an MCP server, or only an API in alpha?** Expect export and no-code connectors first, with two-way sync tied to the plan; confirm what is live on yours. 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 Rox alternatives compare to Ocean? The right alternative depends on what you use Rox for. Here’s what each is built for and where Ocean starts. ### [![Amplemarket logo: Amplemarket alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/amplemarket-mark.webp?width=192)Amplemarket](/compare/ocean-vs-amplemarket.md) * Built for: Outbound teams that want contacts, signals and multichannel sequences with an AI copilot. * Where Ocean starts: Ocean decides which accounts are worth the outreach, then hands them to your sequencer. ### [![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. ### [![Agentforce logo: Agentforce alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/salesforce-mark.webp?width=192)Agentforce](/compare/ocean-vs-agentforce.md) * Built for: Teams that run AI agents on the customer data already in their Salesforce CRM. * Where Ocean starts: Ocean gives those agents the accounts outside your CRM, ranked from your wins. ### [![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. ### [![Evergrowth logo: Evergrowth alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/evergrowth-mark.webp?width=192)Evergrowth](/compare/ocean-vs-evergrowth.md) * Built for: RevOps and GTM teams that want agents to qualify, research and find contacts for accounts against criteria they write. * Where Ocean starts: Ocean learns which companies fit from your own deals, then ranks the whole market with the reason on each account. --- ## Rox pricing and alternatives: common questions Short answers on what Rox costs, how its agents decide fit, how Ocean compares and what to check before you buy. **What is Rox?** A revenue-agent platform for sales teams. AI agents research accounts, find and verify contacts, run outreach, prepare meetings and manage deals and renewals, using your CRM, email and call data plus public information. **How much does Rox cost?** There’s a free start, then Individual at $100 a month for 10,000 agent actions and Teams at $255 a month for 15,000 actions with unlimited seats. Enterprise is by quote. Different tasks use different numbers of actions. **How does Rox decide which accounts to prioritize?** It scores accounts and contacts against an ICP you describe and shows the reasoning and the signals behind each recommendation. Ocean learns the fit from your own won and lost deals and ranks the whole market against it. **Does Rox learn from my won and lost deals?** It uses your CRM, email and call data as context, but its pages don’t describe learning the ICP from your won and lost deals. Ocean reads your CRM deals, learns the ICP and ranks the market against it. **Does Rox have an MCP server or API?** Rox has a public API, in alpha, to enrich companies and people, search prospects in plain language and validate matches. We found no MCP server documented. Ocean has an MCP server and a public API on the same data and lookalike engine. **Does Rox integrate with my CRM?** Yes: Salesforce with writeback, HubSpot and Microsoft Dynamics 365. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio. **Is Rox ready for an enterprise security review?** It lists SOC 2 Type 2 and GDPR, publishes the SOC 2 report and a penetration-test summary in a Trust Center, and says customer data is never used to train generalized models. ISO 27001 is listed as coming soon. Request the report and subprocessor list. **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 (18) checked November 13, 2026 * [Rox](https://www.rox.com/) * [Rox pricing](https://www.rox.com/pricing) * [Enterprise revenue agent pricing (Rox)](https://www.rox.com/articles/enterprise-revenue-agent-pricing) * [Rox Sales Intelligence](https://www.rox.com/platform/sales-intelligence) * [Rox Outbound agent](https://www.rox.com/platform/outbound-agent) * [Rox Account Intelligence](https://www.rox.com/platform/account-intelligence) * [Rox Agent Workflows](https://www.rox.com/platform/agent-workflows) * [Rox developer tools](https://www.rox.com/docs/admin-guide/developer-tools) * [Rox Salesforce integration](https://www.rox.com/docs/admin-guide/integrations-salesforce) * [Rox System of Context](https://www.rox.com/docs/architecture/system-of-context) * [Rox security](https://www.rox.com/security) * [Rox Trust Center](https://trust.rox.com/) * [Rox business breakdown (Contrary Research)](https://research.contrary.com/company/rox) * [Amplemarket](https://www.amplemarket.com/) * [Clay](https://www.clay.com/) * [Salesforce Agentforce pricing](https://www.salesforce.com/agentforce/pricing/) * [ZoomInfo pricing and product pages](https://www.zoominfo.com/pricing) * [Evergrowth](https://evergrowth.com/) --- ## 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)