1. [Compare](/compare.txt) 2. Ocean vs Coresignal # Ocean vs Coresignal: pricing and how they compare Coresignal sells raw company, employee and job-posting records through a credit-priced API, an MCP server and bulk datasets, for teams building their own data products. 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 Coresignal pricing](#how-much-does-coresignal-cost) Ask AI to compare * [Ask Claude to compare Ocean and Coresignal (opens in a new tab)](https://claude.ai/new?q=Compare%20Ocean.io%20and%20Coresignal%20for%20B2B%20data%3A%20company%2C%20employee%20and%20job%20data%20coverage%2C%20credit%20costs%20per%20record%2C%20search%20and%20enrichment%20APIs%2C%20MCP%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20datasets.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-coresignal%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask ChatGPT to compare Ocean and Coresignal (opens in a new tab)](https://chatgpt.com/?q=Compare%20Ocean.io%20and%20Coresignal%20for%20B2B%20data%3A%20company%2C%20employee%20and%20job%20data%20coverage%2C%20credit%20costs%20per%20record%2C%20search%20and%20enrichment%20APIs%2C%20MCP%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20datasets.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-coresignal%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Perplexity to compare Ocean and Coresignal (opens in a new tab)](https://www.perplexity.ai/search?q=Compare%20Ocean.io%20and%20Coresignal%20for%20B2B%20data%3A%20company%2C%20employee%20and%20job%20data%20coverage%2C%20credit%20costs%20per%20record%2C%20search%20and%20enrichment%20APIs%2C%20MCP%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20datasets.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-coresignal%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Gemini to compare Ocean and Coresignal (opens in a new tab)](https://www.google.com/search?udm=50&q=Compare%20Ocean.io%20and%20Coresignal%20for%20B2B%20data%3A%20company%2C%20employee%20and%20job%20data%20coverage%2C%20credit%20costs%20per%20record%2C%20search%20and%20enrichment%20APIs%2C%20MCP%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20datasets.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-coresignal%20and%20other%20sources%2C%20and%20say%20where%20each%20one%20is%20stronger.) * [Ask Grok to compare Ocean and Coresignal (opens in a new tab)](https://grok.com/?q=Compare%20Ocean.io%20and%20Coresignal%20for%20B2B%20data%3A%20company%2C%20employee%20and%20job%20data%20coverage%2C%20credit%20costs%20per%20record%2C%20search%20and%20enrichment%20APIs%2C%20MCP%20access%2C%20learning%20from%20CRM%20deals%2C%20ICP%20fit%20and%20datasets.%20Use%20https%3A%2F%2Fwww.ocean.io%2Fcompare%2Focean-vs-coresignal%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-coresignal) * [Coresignal cost](#how-much-does-coresignal-cost) * [Which to choose](#which-to-choose) * [Switching](#switching-from-coresignal) * [Alternatives](#coresignal-alternatives) * [FAQ](#coresignal-faq) --- ## How do Ocean and Coresignal differ? ### ![Coresignal logo: Coresignal alternatives, pricing and comparison with Ocean](https://cdn-bunny.ocean.io/assets/custom/compare/coresignal-mark.webp?width=256) Coresignal Raw company, employee and job records at scale, by API or bulk file. A fit for data teams building products and models. Coresignal is B2B data infrastructure. Its homepage lists 72M+ company records, 915M+ employee records and 486M+ job postings, sold through Company, Employee and Jobs APIs, an Agentic Search API that turns plain-English questions into queries, an MCP server and datasets delivered to a warehouse. ### Ocean A ready answer for revenue teams: which companies fit, ranked by what your won and lost deals show, with the reason on each. 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. --- ## Coresignal 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 Coresignal comparison__ | Topic | Ocean | Coresignal | | --------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Finding the right accounts | | | | Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Search by industry, size, location, funding and technology, in code or plain English, and its blog explains how to find similar companies. It doesn’t ship a ranked lookalike product. | | Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | You build any scoring yourself on the records. We found no description of learning fit from your won and lost deals. | | The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Returns fields for each company, not a reason a rep can read. Explaining a match is left to what you build. | | Coverage | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | 72M+ company records with 500+ fields, 915M+ employee records and 486M+ job postings, by its own count. | | 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. | Employee records with job history, plus an Employee Contact Enrichment API at 10 credits per email found. | | Raw multi-source records at scale | Doesn’t sell raw record dumps or datasets. It returns ranked accounts. | Core strength: deduplicated company, employee and job records with historical data, webhooks, Elasticsearch queries, bulk files and rates up to 100+ requests a second. | | Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | Fields for headcount trends, hiring velocity, executive changes and technology, and job postings as a signal. You decide what counts as intent. | | 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. | No native CRM sync documented. It lands data through the API, webhooks, no-code tools or files in a warehouse. | | AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP server and an Agentic Search API for agents, with fast searches at 20 credits and reasoning searches at 100. | | Security and privacy | SOC 2 Type II and GDPR, per Ocean’s own site. | Says its data is collected in line with high privacy standards. We couldn’t open a security page or find a compliance report, so ask for one. | | Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Published for the API: $49 to $5,000 a month in credits. Datasets are quoted. | --- ## How much is Coresignal? Coresignal publishes eight monthly API plans priced in credits. Searching is free and credits are spent only on records you collect. * Mini is $49 for 2,500 credits and Starter $199 for 12,000. There is a 7-day trial with 2,000 credits. At 5 requests a second, Mini buys about 250 base records: $49 to $199 a month * Pro is $499 for 35,000 credits with search preview and 10 requests a second. Growth is $1,000 for 150,000 credits, 20 requests a second and an account manager: $499 to $1,000 * Premium is $1,500 for 1M credits, Scale $3,000 for 4M and Elite $5,000 for 10M, with rate limits up to 100+ requests a second and credit rollover. Bulk datasets start from $1,000 by quote: $1,500 to $5,000 ### What the price leaves out A job posting costs 1 credit, a core company or employee record 10 and a full multi-source record 20, with extra bundles adding more. Contact enrichment costs 10 credits per email found. Annual billing is 10% off. Reviewers disagree on which plan includes Contact Enrichment: its docs mark it on every plan, while others say Pro and up, so confirm. The per-credit price falls from about $0.02 on Mini to $0.0005 on Elite. ### 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.txt) --- ## Should you choose Ocean or Coresignal? Coresignal gives builders the raw data. Ocean gives revenue teams the finished ranking. ### Choose Coresignal if * You’re building a data product, model or pipeline and need raw records at scale * You want job postings, employee history and company data from one vendor * You want datasets in your warehouse, an API or an MCP server for your own agents ### Use both if * You use Coresignal for raw data your engineers work with and Ocean for the ranked list your reps use * You compare its similar-company results against Ocean’s ranked matches for your best customers [Talk to us](https://book.ocean.io/inbound/api) ### Choose Ocean if * You want the ICP learned from your won, lost and open deals, as segments with win rate, cycle and deal size * You want the reason on every account and an exact count of the market * You don’t want to build and maintain a scoring layer * You want ranked accounts and contacts pushed into your CRM [Start for free](https://book.ocean.io/inbound/api) --- ## How to switch from Coresignal to Ocean Five steps. Most teams keep Coresignal for raw data and add Ocean for the ranked answer. ### 1. Export your target records Export the companies you pull from Coresignal, then run them through Ocean to see how many fit your closed-won pattern. ### 2. Check your credit use Find which records and endpoints use the most credits, and whether your plan’s rate limit and rollover fit your volume. ### 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 Coresignal for targeting * **How many credits does our real workload use per month, by record type?** Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume. * **Who builds and maintains the scoring on top of the raw records?** Expect your team to own it, because the tool supplies the pieces and not the finished model; budget the hours. * **How fresh is the data for our segment, and how is it deduplicated?** Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list. * **Can we see its compliance documentation and licensing terms?** 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 Coresignal alternatives compare to Ocean? The right alternative depends on what you use Coresignal for. Here’s what each is built for and where Ocean starts. ### [![Clay logo: Clay alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/clay-mark.webp?width=192)Clay](/compare/ocean-vs-clay.txt) * 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.txt) * 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.txt) * 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. ### [![TheirStack logo: TheirStack alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/theirstack-mark.webp?width=192)TheirStack](/compare/ocean-vs-theirstack.txt) * Built for: Technical sellers and data teams that want transparent, low-cost technographics and hiring signals read from job postings. * Where Ocean starts: Ocean learns which companies fit from your own deals, then ranks the whole market with the reason on each account, beyond which tools they use. ### [![The Companies API logo: The Companies API alternatives and pricing](https://cdn-bunny.ocean.io/assets/custom/compare/the-companies-api-mark.webp?width=192)The Companies API](/compare/ocean-vs-the-companies-api.txt) * Built for: Developers that need low-cost firmographic lookups and similar-company search by API at volume. * Where Ocean starts: Ocean learns which companies fit from your own deals, then ranks the whole market with the reason on each account, with contacts. --- ## Coresignal pricing and alternatives: common questions Short answers on what Coresignal does, what it costs, how Ocean compares and what to check before you buy. **What is Coresignal?** B2B data infrastructure: company, employee and job-posting records through credit-priced APIs, an Agentic Search API, an MCP server, webhooks and bulk datasets for warehouses. **How much does Coresignal cost?** API plans run from $49 a month for 2,500 credits to $5,000 for 10M, with a 7-day trial of 2,000 credits and 10% off annual billing. Bulk datasets start from $1,000 by quote. **How many credits does a record cost?** A job posting is 1 credit, a core company or employee record 10 and a full multi-source record 20. Contact enrichment is 10 credits per email found, and searching is free. **Does Coresignal learn from my won and lost deals?** No: it sells raw records, and you build any scoring. Ocean reads your CRM deals, learns the ICP and ranks every company against it with the reason on each. **Does Coresignal have an MCP server?** Yes, per reviewers and its own blog, alongside an Agentic Search API. Ocean has an MCP server and a public API on the same data and lookalike engine. **Who should use Coresignal instead of Ocean?** Data and engineering teams building their own data products, models or pipelines on raw records. Revenue teams that want the ranking ready get more from Ocean. **Is Coresignal ready for an enterprise security review?** It says it collects data in line with high privacy standards. We couldn’t open a security page or find a compliance report, so ask for one and its licensing terms. **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 * [Coresignal](https://coresignal.com/) * [Coresignal pricing](https://coresignal.com/pricing) * [Coresignal Company API](https://coresignal.com/solutions/company-data-api) * [Coresignal Employee API](https://coresignal.com/solutions/employee-data-api) * [Coresignal pricing docs](https://docs.coresignal.com/pricing) * [Coresignal blog](https://coresignal.com/blog) * [Coresignal review (Hirebase, a competitor)](https://www.hirebase.org/compare/coresignal-review) * [Coresignal alternatives (DataForB2B, a competitor)](https://dataforb2b.ai/alternatives/coresignal) * [Clay](https://www.clay.com/) * [Apollo pricing](https://www.apollo.io/pricing) * [ZoomInfo pricing and product pages](https://www.zoominfo.com/pricing) * [TheirStack](https://theirstack.com/) * [The Companies API](https://www.thecompaniesapi.com/) --- ## What teams say about Ocean [All case studies](/case-studies.txt) --- > 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.txt) > 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.txt) Laura Salmina, Sales Developer at Tele2 IoT [Read Tele2 IoT's story](/case-studies/tele2.txt) Julian Berbec, Growth Marketer at Monta [Read Monta's story](/case-studies/monta.txt) > 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.txt) > Ocean.io reduced our average cost per Marketing Qualified Lead by 23%. > > — Garrett Butler, Digital Engagement, CBC [Read CBC's story](/case-studies/cbc.txt) > 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.txt) > Ocean.io allows us to identify lookalike companies with incredible accuracy. > > — Maged, Head of Product, Surfe [Read Surfe's story](/case-studies/surfe.txt) --- [ocean.io logomark](/index.txt) ocean.io logotype [Home](/index.txt) [Discovery](/index.txt) [Workflows](/index.txt) [Context studio](/index.txt) [Search](/index.txt) [Assistant](/index.txt) [Leads](/index.txt) [API](/index.txt) [Extension](/index.txt) 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)