AI agents # The context layer for your AI agents Claude, ChatGPT and your own agents reason better with Ocean behind them: company data, your fit scores and the buying committee, one call away. Ask your AI how Ocean works as its context layer * [Ask Claude how Ocean works as its context layer (opens in a new tab)](https://claude.ai/new?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Claude%3F%20What%20can%20Claude%20do%20with%20it%3F) * [Ask ChatGPT how Ocean works as its context layer (opens in a new tab)](https://chatgpt.com/?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20ChatGPT%3F%20What%20can%20ChatGPT%20do%20with%20it%3F) * [Ask Perplexity how Ocean works as its context layer (opens in a new tab)](https://www.perplexity.ai/search?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Perplexity%3F%20What%20can%20Perplexity%20do%20with%20it%3F) * [Ask Gemini how Ocean works as its context layer (opens in a new tab)](https://www.google.com/search?udm=50&q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Gemini%3F%20What%20can%20Gemini%20do%20with%20it%3F) * [Ask Grok how Ocean works as its context layer (opens in a new tab)](https://grok.com/?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Grok%3F%20What%20can%20Grok%20do%20with%20it%3F) [Try the agent](https://app.ocean.io/signup) [Get a demo](https://book.ocean.io/inbound/api) --- Ocean sits between your AI and your go-to-market data. Claude, ChatGPT, Perplexity, Gemini and your own agent connect to Ocean over MCP and the REST API. Ocean gives them the company index, people profiles, segments and fit scores, signals and your CRM data. * [Ask Claude how Ocean works as its context layer (opens in a new tab)](https://claude.ai/new?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Claude%3F%20What%20can%20Claude%20do%20with%20it%3F) * [Ask ChatGPT how Ocean works as its context layer (opens in a new tab)](https://chatgpt.com/?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20ChatGPT%3F%20What%20can%20ChatGPT%20do%20with%20it%3F) * [Ask Perplexity how Ocean works as its context layer (opens in a new tab)](https://www.perplexity.ai/search?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Perplexity%3F%20What%20can%20Perplexity%20do%20with%20it%3F) * [Ask Gemini how Ocean works as its context layer (opens in a new tab)](https://www.google.com/search?udm=50&q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Gemini%3F%20What%20can%20Gemini%20do%20with%20it%3F) * [Ask Grok how Ocean works as its context layer (opens in a new tab)](https://grok.com/?q=How%20does%20Ocean.io%20%28ocean.io%2C%20the%20B2B%20company%20data%20platform%29%20work%20as%20a%20context%20layer%20for%20Grok%3F%20What%20can%20Grok%20do%20with%20it%3F) --- Ocean · Agent Find VPs of sales at Series B SaaS in Germany, 50–200 employees. Try a prompt * VPs of sales at Series B SaaS * Lookalikes of closed-won deals * Stale accounts in top segment * Push lookalikes to HubSpot * Score this inbound lead * Companies using Snowflake + Segment --- The context layer ## What your agent gets back A model on its own has no view of your market. Ocean gives it the company data, your fit scoring and the buying committee to reason with. ### Facts, not guesses Firmographics, technographics and people, structured so the agent cites them instead of inventing them. ### Context that is yours Fit scores and segments come from your own won deals, so “good fit” means your definition. ### One call, one answer The agent asks once and gets the profile, the score and the people back together. --- Integrations ## Ask in Claude or ChatGPT. Get your own data back. Connect Ocean once. Any MCP client can search companies and people, score them and export the list to your CRM. Work from Claude or ChatGPT Connect Ocean.io to your AI assistant and it searches companies and people for you, on your plan's credits. Export to your CRM Build on the API Start a sequence A Claude chat using the Ocean.io connector: it searches companies and people, lists Moss, Spendesk, Payhawk and Rydoo with their finance leads, and adds them to HubSpot. Ocean.io leads with 50 people selected and the Export menu open, offering Export to HubSpot, Salesforce, Pipedrive, Attio, Zoho, Close and CSV. The Ocean.io API docs for Lookalike companies search: a request with pleo.io as the lookalike domain, and a response listing Moss and Spendesk with relevance A. Ocean.io leads with 50 people selected and the Add to sequence dialog open, its provider list offering Apollo, Instantly, lemlist and Salesloft. --- ## Everything an agent can use One company index behind every tool. Your agent calls the same search, scoring and enrichment you use in Ocean. ### Contextual intelligence Understand what each company really does. * Reads what companies actually do, not industry codes. * Describes what it sells and who it sells to. * Powers lookalikes and segments. ### Segmentation Find the segments hiding in your closed deals. * Finds the segments in your won deals. * Win rate, deal size and cycle time per segment. * Tier 1–4 account recommendations. ### Lookalike companies Find more companies like your best customers. * Start from your best customers. * Ranked matches with reasons. * Net-new and already-in-CRM accounts. ### Search Filter the market down to the accounts you want. * Hard filters for an exact market count. * Company and people search. * Exclude what you don't want. ### Enrichment Add the contacts behind every account you target. * Work email and phone. * Buying committee roles. * Contact data on demand. ### API & MCP Bring Ocean into the tools you already use. * Use Ocean inside Claude and your own tools. * REST API. * Works where reps already work. ### Data layer for AI Give every AI tool the company data your team uses. * One company index behind every agent and assistant. * Context vectors and fit scores for each company. * Reach it through the MCP server or the REST API. ### Ocean Agent Ask for the accounts you want in plain English. * Searches, scores and exports in one run. * Works inside Ocean and any MCP client. * Uses the same data as the rest of Ocean. ### Lead scoring Rank inbound leads against the segments that win. * Scores each lead against your segments. * Shows the fit score and the reason behind it. * Writes segment scores back to your CRM. ### Workflows Turn every good list into a repeatable process. * Chain search, enrichment and CRM export. * Assign CRM owners by rules you set. * Notify each rep in Slack. ### Signals and events Reach out when something changes at an account. * Filter companies by open job postings. * See buying signals in search and quick view. * Use signals in the API, MCP and Workflows. ### Buying committees See who is in the room on every winning deal. * Built from the deals in your CRM. * Ranked in people search. * Edit a committee and see its people in recommendations. ### Account briefs Walk into every call with context on the account. * Ask your MCP client for a brief on any account. * Pulls from the same company data as Ocean. * Saves the research before a first call. ### Technographics Find companies by the software tools they run. * Filter by CRM, cloud and marketing tools. * Cover analytics, ad and support software. * Combine tech filters with firmographics. ### Chrome extension Bring Ocean data to any company site you visit. * See company details while you browse. * Find lookalikes without leaving the page. * Add accounts to your lists as you go. [Book a demo](https://book.ocean.io/inbound/api) --- Workflows ## Write the play once. It runs on every deal. Describe what should happen when a deal moves, and Ocean.io builds the steps: wait, research what changed, judge the fit, then sequence the right people. A workflow on its canvas: when a deal is lost, wait 90 days, search Google, then an AI research step judges whether it's worth another try before finding people, enriching them and adding them to a sequence. Its settings panel shows the AI prompt and its yes or no output. --- What it can do ## One agent, the whole go-to-market loop Pick a job. These are real prompts and the tools the agent calls to answer them. Prospecting Lookalikes Account research Segments and scoring Buying committees Export to your stack ### Describe the accounts. Get the list. Company and people search in one conversation. The agent counts the market first, then pulls the list, so you see the size before you spend credits. * search\_companies * search\_people * count\_companies * count\_people Try asking * VPs of sales at Series B SaaS in Germany, 50–200 employees * How many fintechs in the UK use HubSpot? * Companies hiring 5+ sales roles right now --- ## Use cases Teams use Ocean to size a market, find the segments that win and build lists that sales trusts. Choose the role closest to yours. RevOps Sales leaders GTM engineers Marketing and ABM SDRs and outbound Founders and early teams Agencies and consultants RevOps ### Plan territories on real market data Size every segment and split accounts fairly across reps. Keep territories current as your market changes. * Exact market counts per territory. * Balanced account lists for every rep. * CRM sync that stays current. [Book a demo](https://book.ocean.io/inbound/api) Win rate by segment * Mid-market SaaS 68% win rate * Enterprise fintech 54% win rate * SMB e-commerce 41% win rate What the best Mid-market SaaS accounts share * 3.4x Uses Salesforce or HubSpot * 2.7x Raised a Series B or later * 5.3x less Runs on-prem or self-hosted Example view with sample data. Sales leaders ### Know which segments win See win rate, deal size and cycle time for every segment. Point your team at the accounts most likely to close. * Segment performance from your own deals. * Tier 1–4 account recommendations. * Clear priorities for every rep. [Book a demo](https://book.ocean.io/inbound/api) Win rate by segment * Mid-market SaaS 68% win rate * Enterprise fintech 54% win rate * SMB e-commerce 41% win rate * Win rate: $28K * Average deal: 270 * Potential wins: Example view with sample data. GTM engineers ### Build comprehensive account lists from one source Run search, lookalikes and enrichment from the API or the MCP server. Send the results to the tools you already run. * REST API and MCP server. * Search, lookalikes and enrichment. * CRM integrations. [Book a demo](https://book.ocean.io/inbound/api) GET /v1/companies/lookalikes?domain=stripe.com ``` { "query": "stripe.com", "results": [ { "domain": "adyen.com", "name": "Adyen", "score": 0.94 }, { "domain": "checkout.com", "name": "Checkout.com", "score": 0.91 } ] } ``` Example view with sample data. Marketing and ABM ### Target accounts that look like your best customers Start from your best customers and get ranked lookalikes with reasons. Build ABM lists that sales agrees with. * Ranked lookalikes with reasons. * Net-new and already-in-CRM accounts. * Buying committee roles for each account. [Book a demo](https://book.ocean.io/inbound/api) Roles in 38 won deals, by department * Sales 49 * RevOps 29 * IT & Security 24 * Finance 13 * Executive 13 Example view with sample data. SDRs and outbound ### Start every day with a list worth calling Get ranked lookalikes of the accounts you already win, with the contacts behind them. Spend your time on outreach, not on research. * Ranked matches with a fit score. * Work email and phone for each contact. * Send contacts straight to your sequencer. [Book a demo](https://book.ocean.io/inbound/api) Find lookalikes of your mid-market SaaS wins * Fit score94 Brightwave brightwave.io 4 contacts * Fit score91 Northwind Systems northwindsys.com 3 contacts * Fit score88 Lumen Labs lumenlabs.io 5 contacts Example view with sample data. Founders and early teams ### Find your next hundred customers from your first ten See what your first wins have in common and search for more companies like them. Learn which market to chase before you hire a team to chase it. * Patterns from your earliest deals. * Exact counts for each market you test. * Start free, with no commitment. [Book a demo](https://book.ocean.io/inbound/api) What your first wins share * 5.3x Runs on Shopify or BigCommerce * 2.8x Under 50 employees * 3.8x less Enterprise procurement process Example view with sample data. Agencies and consultants ### Size and build a client market in one session Define a client market with hard filters and see how big it is before you commit. Hand over account lists with contacts and reasons attached. * Exact market counts for each client. * Lists with contacts and fit reasons. * Export to the client CRM or by webhook. [Book a demo](https://book.ocean.io/inbound/api) 1,240 companies match * Industry * Technologies * Location * Employees Example view with sample data. --- Control ## You stay in charge of the run ### Every tool call is visible See which tool ran, with which filters and how many results came back. ### Credits are reported Tools that spend credits return what they used and what is left, so a run’s cost is auditable. ### You approve the writes Exclusions, segmentation changes and exports happen after you agree to them. ### Same data as the product The agent reads the same company, people and CRM data you see in Ocean. No separate copy. --- Connect ## Up and running in three steps ### 1. Add Ocean as an MCP server In Claude, ChatGPT, Cursor or any MCP client, add the Ocean server with the HTTP transport. ### 2. Sign in Approve access with your Ocean account. Clients without sign-in can use an API token from Settings. ### 3. Ask Try “Find VPs of sales at SaaS companies in Germany.” The agent picks the tools. Claude Code Copy $ claude mcp add --transport http ocean /mcp/ --header "x-api-token: " \> Find VPs of sales at SaaS companies in Germany ✓ search\_people · 212 people ## Questions **What is the difference between the Ocean agent and the MCP server?** The Ocean agent is the chat inside the web app, with tables and one-click exports. The MCP server gives the same search, scoring and export tools to the AI client you already use. **Which AI clients work with Ocean?** Any client that supports MCP over streamable HTTP, including Claude, ChatGPT and Cursor. Claude Code connects with one command. **Does the agent spend credits?** Searching and counting the market are the cheap steps. Tools that spend credits report what they used, so you can check a run’s cost. **Can the agent write to my CRM?** Yes, to HubSpot, Salesforce and Pipedrive, after you ask for an export. It can also read your deals to build segments. **Can I build on this without the chat?** Yes. The REST API exposes the same data, and Workflows chain search, enrichment and export on a schedule. --- [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 | ## Put an agent on your pipeline * Describe accounts in plain English and get them in your CRM * Works in Ocean, Claude, ChatGPT and Cursor * Same data as the Ocean product and API [Book a demo](https://book.ocean.io/inbound/api)