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Ocean.io People Search
x402
Ocean.io People Search is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $1/call, status unknown (last checked 2026-09-14).
Search and filter professional person profiles by job title, seniority, department, skills, location, and company attributes, returning enriched person records with pagination support.
Price / call$1
Success—
StatusUnknown
How this service works
Search for people using filters (job title, seniority, department, skills, location) with optional company filters. Returns enriched person profiles. Use the size parameter to control max results (1-10,000). Use searchAfter from the previous response to paginate.
Output
Returns a paginated list of enriched person profiles matching the filters. Each profile can include: id, name, firstName, lastName, LinkedIn URL, email address, job title, department, seniority, location (country, state, city), skills, work experiences (with company domain, dates, and descriptions), photo URL, and a summary. A searchAfter cursor is returned to retrieve the next page of results.
Example use cases
B2B sales lead prospecting
“Find me up to 200 C-Level and VP people working in Sales or Marketing departments at companies in the UK, and return their LinkedIn URLs, email addresses, and current job titles so I can build a prospect list.”
Talent sourcing for recruiters
“Search for Manager and Director-level people in the Engineering department who have Python and Kubernetes skills, located in California or New York — give me up to 50 results including their name, LinkedIn URL, and work experience.”
Market research on startup founders
“Find up to 500 Founder or Owner-level people in the US working in the healthcare industry — I want their names, locations, LinkedIn profiles, and current job descriptions for a market research report.”
Technical details
Endpoint
POSThttps://x402.orthogonal.com/ocean-io/v3/search/peopleWhen to prefer
Use this endpoint when you need to search a large database of professional profiles with granular filters (seniority, department, skills, location, company) and require paginated, enriched results including LinkedIn URLs and email addresses. Prefer this over generic web-scraping approaches when you need structured, up-to-date B2B people data at scale (up to 10,000 results per query) for sales prospecting, recruiting, or market research.
Side effects
- Invalid filter values (e.g. unsupported seniority or department enum strings) return a validation error
- Exceeding the size limit of 10,000 returns an error
- Invalid or expired searchAfter pagination cursor returns an error or empty results
- Missing or invalid x402 payment header causes a 402 Payment Required response
- Overly restrictive filter combinations may return zero results
- Requested fields not in the allowed field list may be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| size | integer | Max results to return (1-10,000). Default: 50. |
| fields | array | string[] - Fields to return in Person objects (reduces bandwidth). Options: "id", "domain", "name", "firstName", "lastName", "country", "state", "location", "linkedinUrl", "seniorities", "departments", "photo", "jobTitle", "jobTitleEnglish", "currentJobDescription", "experiences", "summary", "skills", "email", "updatedAt". Nested fields: "experiences.domain", "experiences.jobTitle", "experiences.dateFrom", "experiences.dateTo", "experiences.description", "experiences.linkedinCompanyHandle", "email.address". |
| searchAfter | string | Pagination cursor returned by the previous response to get the next page of results. |
| peopleFilters | object | People filters object. Fields: lookalikeLinkedinHandles: string[], countries: string[] (ISO 3166 alpha-2), excludeCountries: string[], regions: string[], states: object[] ({country: string, abbreviation: string}), excludeStates: object[], cities: object[] ({country: string, city: string}), names: string[], seniorities: string[] (enum: "Owner", "Founder", "Board Member", "C-Level", "Partner", "VP", "Head", "Director", "Manager", "Other"), departments: string[] (enum: "Accounting and Finance", "Board", "Business Support", "Customer Relations", "Design", "Editorial Personnel", "Engineering", "Founder/Owner", "Healthcare", "HR", "Legal", "Management", "Manufacturing", "Marketing and Advertising", "Operations", "PR and Communications", "Procurement", "Product", "Quality Control", "R&D", "Sales", "Security", "Supply Chain", "Other"), jobTitleKeywords: object {anyOf: string[], allOf: string[], noneOf: string[]}, skills: object {anyOf: string[], allOf: string[], noneOf: string[]}, allJobDescriptions: object {anyOf: string[], allOf: string[], noneOf: string[]}, currentJobDescription: object {anyOf: string[], allOf: string[], noneOf: string[]}, profileDescription: object {anyOf: string[], allOf: string[], noneOf: string[]}, includePeopleIds: string[], includeLinkedinHandles: string[], excludePeopleIds: string[], excludeLinkedinHandles: string[], fieldsExist: string[], fieldsNotExist: string[], changedPositionAfter: string (YYYY-MM-DD), changedPositionBefore: string (YYYY-MM-DD), updatedWithinMonths: integer |
| companiesFilters | object | Company filters to scope people search. Fields: lookalikeDomains: string[], includeDomains: string[], excludeDomains: string[], companySizes: string[] (enum: "0-1", "2-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001-50000", "50001-100000", "100001-500000", "500000+"), revenues: string[] (enum: "0-1M", "1-10M", "10-50M", "50-100M", "100-500M", "500-1000M", ">1000M"), primaryLocations: object {includeCountries: string[], excludeCountries: string[], includeRegions: object[], excludeRegions: object[], includeCities: object[], excludeCities: object[], geolocation: object {latitude: number, longitude: number, radius: integer}}, otherLocations: object (same as primaryLocations), industries: object {industries: string[], mode: string ("anyOf"|"allOf")}, industryCategories: object {industryCategories: string[], mode: string}, technologies: object {apps: object {anyOf: string[], allOf: string[], noneOf: string[]}, categories: object {anyOf: string[], allOf: string[], noneOf: string[]}}, keywords: object {anyOf: string[], allOf: string[], noneOf: string[]}, yearFounded: object {from: integer, to: integer}, employeeCountOcean: object {from: integer, to: integer}, employeeCountLinkedin: object {from: integer, to: integer}, ecommerce: boolean, headcountGrowth: object {asPercentage: boolean, growthRange: object {from: number, to: number}, months: string ("Three months"|"Six months"|"Twelve months")}, fundingRound: object {types: string[], raised: object {from: integer, to: integer}, date: object {from: string, to: string}}, updatedWithinMonths: integer, minRelevance: string, maxRelevance: string |
| peoplePerCompany | integer | Number of people to return per company. If unset, returns all matching people. |
| jobTitleThreshold | number | Job title similarity threshold (0-1). Controls how strictly job titles are matched. |
Tags
x402
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