Ocean.io integration

Ocean.io is an AI-powered company discovery platform that helps you find companies and people similar to a given target based on criteria like industry, size, location, and technology. Within Clay, you can use Ocean.io to create a new table populated with lookalike companies, or enrich existing rows to find matching companies and people that fit your ICP.

Creating a table with Ocean.io

1. While in a Clay workbook, click + Add and search for Ocean.io.
2. Under Sources, select Find company lookalikes with Ocean.io.
3. In the setup panel, you will be asked to Select Ocean.io account.
   • If you haven't already connected your Ocean.io account, click + Add account and enter your API key. Otherwise, select the Clay-provided key.

Source Find company lookalikes with Ocean.io

Start with up to 10 seed company domains and find a list of similar companies to populate a new Clay table. You are charged 1 credit per result returned.

Inputs

Required:

• Company domain: The seed company domain(s) to use for lookalike discovery. Accepts up to 10 domains.

Optional:

• Domains to exclude: Domains to exclude from the results. Separate multiple values with commas.
• Primary countries (headquarters): Filter by countries where the company has its primary presence (headquarters). Multi-select.
• Countries (general presence): Filter by all countries where the company has any presence. Multi-select. When combined with other location filters, results matching any condition are returned.
• States: Filter by states using ISO abbreviations. Must be used with States country. Separate multiple values with commas.
• States country (for states filter only): Specify the country for the states filter above.
• Company sizes: Filter by company size ranges. Multi-select.
• Revenue ranges: Filter by revenue ranges. Multi-select.
• Headquarter geolocation latitude and longitude: Latitude and longitude of the target's headquarters (e.g., 37.7749,-122.4194). Must be used with Headquarter geolocation radius.
• Headquarter geolocation radius: Radius in meters around the specified geolocation. Must be used with Headquarter geolocation latitude and longitude.
• Keywords: Keywords to search for in the company description. Separate multiple values with commas.
• Keywords operator: How keywords are matched — Any of, All of, or None of. Default: Any of.
• Technologies: Filter by technologies used by the company. Multi-select.
• Technologies operator: How technologies are matched — Any of or All of. Default: Any of.
• Industries: Filter by industries. Multi-select.
• Industries operator: How industries are matched — Any of, All of, or None of. Default: Any of.
• Industry categories: Filter by industry categories. Multi-select.
• Industry categories operator: How industry categories are matched — Any of, All of, or None of. Default: Any of.
• Include only ecommerce companies: When enabled, filters results to only ecommerce companies.
• Exclude ecommerce companies: When enabled, excludes ecommerce companies from results.
• Minimum similarity score: Minimum lookalike similarity threshold. Default: 0.79.
• Limit results: Maximum number of results to return.
• Additional filters: Dynamic field filters for additional company properties.

Enriching data with Ocean.io

1. While in a Clay table, click Add enrichment and search for Ocean.io.
2. Under Integrations, select one of the Ocean.io actions.
3. In the modal, you will be asked to Select Ocean.io account.
   • If you haven't already connected your Ocean.io account, click + Add account and enter your API key. Otherwise, select the Clay-provided key.

Action Find lookalike companies with Ocean.io

Use this action to identify companies similar to a specified target based on custom filters like size, industry, location, and keywords. You are charged 1 credit per result returned.

Inputs

Required:

• Company domain: The domain(s) of the target company. Accepts up to 10 domains.

Optional:

• Domains to exclude: Domains to exclude from results. Separate multiple values with commas.
• Primary countries (headquarters): Filter by countries where the company has its primary presence. Multi-select.
• Countries (general presence): Filter by all countries where the company has any presence. Multi-select.
• States: Filter by states using ISO abbreviations. Must be used with States country.
• States country (for states filter only): Specify the country for the states filter.
• Company sizes: Filter by company size ranges. Multi-select.
• Revenue ranges: Filter by revenue ranges. Multi-select.
• Headquarter geolocation latitude and longitude: Latitude and longitude for geolocation filtering (e.g., 37.7749,-122.4194). Must be used with Headquarter geolocation radius.
• Headquarter geolocation radius: Radius in meters around the specified geolocation. Must be used with Headquarter geolocation latitude and longitude.
• Keywords: Keywords to filter by in the company description. Separate multiple values with commas.
• Keywords operator: How keywords are matched — Any of, All of, or None of. Default: Any of.
• Technologies: Filter by technologies. Multi-select.
• Technologies operator: How technologies are matched — Any of or All of. Default: Any of.
• Industries: Filter by industries. Multi-select.
• Industries operator: How industries are matched — Any of, All of, or None of. Default: Any of.
• Industry categories: Filter by industry categories. Multi-select.
• Industry categories operator: How industry categories are matched — Any of, All of, or None of. Default: Any of.
• Include only ecommerce companies: Filter results to only ecommerce companies.
• Exclude ecommerce companies: Exclude ecommerce companies from results.
• Minimum similarity score: Minimum lookalike similarity threshold. Default: 0.79.
• Limit results: Maximum number of results to return. Default: 10. Maximum: 50.
• Additional filters: Dynamic field filters for additional company properties.

Outputs

Returns up to 10 ranked lookalike results. Each result includes:

• Company:
  • Domain: The company's website domain.
  • Name: The company's display name.
  • Legal name: The company's registered legal name.
  • Description: A brief description of the company.
  • Company size: Employee headcount range (e.g., 51-200).
  • Employee count (Ocean): Employee count from Ocean.io's database.
  • Employee count (LinkedIn): Employee count from LinkedIn.
  • Revenue: Estimated revenue range (e.g., 10-50M).
  • Year founded: The year the company was founded.
  • Primary country: The company's primary country of operation.
  • Countries: All countries where the company has a presence.
  • Locations: Array of office locations with latitude, longitude, country, and locality.
  • Industries: Array of specific industries.
  • Industry categories: Array of broader industry categories.
  • Keywords: Keywords associated with the company's description.
  • Technologies: Technologies used by the company.
  • Technology categories: Categories of technologies used.
  • Emails: Known public contact email addresses.
  • Phones: Phone numbers with country and primary flag.
  • Logo: URL of the company logo.
  • Mobile apps: App store links and names for the company's mobile apps.
  • Web traffic: Visits, page views, pages per visit, and bounce rate.
  • Medias: Social media profiles (LinkedIn, Twitter, YouTube, Facebook) including URL, handle, and name.
• Score: The similarity score for the result.

Action Find lookalike people with Ocean.io

Find people similar to given professional profiles based on various criteria. You are charged 1 credit per result returned.

Inputs

Required:

• Professional profile URL: The LinkedIn profile URL of the target person.

Optional:

• Professional profile URLs to include: Additional profile URLs to include in the search.
• Professional profile URLs to exclude: Profile URLs to exclude from results.
• Seniorities: Filter by professional seniority levels.
• Job title keywords: Filter by specific job title keywords.
• Job titles operator: Specify how job title keywords should be matched.
• Job titles similarity threshold: Set the matching threshold for job titles.
• States: Filter by states where lookalikes are based (ISO abbreviations). Must be used with States country.
• States country (for states filter only): Specify the country for the states filter.
• Countries: Filter by countries where lookalikes are based. Multi-select.
• Lookalike company domain: Filter lookalikes to those working at a specific company domain.
• Domains to include: Additional company domains to include in the search.
• Domains to exclude: Company domains to exclude from results.
• Company primary countries: Filter by company headquarters location. Multi-select.
• Company sizes: Filter by company size ranges. Multi-select.
• Company industries: Filter by specific industries. Multi-select.
• Company industries operator: Specify how the industry filter is applied — Any of, All of, or None of.
• Maximum number of lookalikes: Maximum number of results to return.
• Maximum number of lookalikes per company: Limit the number of results returned per company.
• Minimum lookalike score: Set the minimum similarity threshold for results — options include Very similar, Similar, and Slightly similar.

Outputs

• People: Array of matching people, each containing:
  • ID: Ocean.io internal ID for the person.
  • Domain: The company domain where the person works.
  • Name: Full name.
  • First name: First name.
  • Last name: Last name.
  • Country: Country where the person is based.
  • State: State where the person is based.
  • LinkedIn URL: The person's LinkedIn profile URL.
  • Job title: The person's current job title.
  • Seniorities: Array of seniority levels.
  • Departments: Array of departments the person is associated with.
  • Photo: URL of the person's LinkedIn profile photo.
  • Company:
    • Name: The company name.
    • Company size: Headcount range of the company.
    • Logo: URL of the company logo.

Run settings

• Auto-update: Recommended when you want new rows added to a Clay table to automatically trigger the enrichment.
• Only run if: The enrichment will only run if specified conditions are met. Learn more about conditional formulas here!