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.

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Updated November 13, 2026. See sources

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How do Ocean and Coresignal differ?

Coresignal logo: Coresignal alternatives, pricing and comparison with Ocean 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
LookalikesOcean 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 dealsOcean 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 accountOcean 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.
CoverageOcean 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

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
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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

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

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.

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

What teams say about Ocean

All case studies
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
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

Laura Salmina, Sales Developer at Tele2 IoT

Read Tele2 IoT's story

Julian Berbec, Growth Marketer at Monta

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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
Ocean.io reduced our average cost per Marketing Qualified Lead by 23%.

Garrett Butler,

Digital Engagement, CBC

Read CBC's story
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
Ocean.io allows us to identify lookalike companies with incredible accuracy.

Maged,

Head of Product, Surfe

Read Surfe's story

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