People Search API

People Search Ai ark API

Search professional profiles with account, contact, and saved-list filters.

POST/v1/run/people_search.ai_ark
Requests
-
30d

Call it

Make your first request

import os, requests

res = requests.post(
    "https://api.getanyapi.com/v1/run/people_search.ai_ark",
    headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"},
    json={},
)
print(res.json())
Open in
Get a free key
Sample response
{
  "data": {
    "page": 29,
    "people": [
      {
        "birthDate": "2024-01-15T09:30:00Z",
        "careerStartUtc": 42,
        "city": "San Francisco",
        "companyAcquisitionCount": 12500,
        "companyAcquisitions": [
          {
            "announcedUtc": 42,
            "imageKey": "https://example.com/image.jpg",
            "name": "Example title",
            "recordId": "a1b2c3d4",
            "role": "example"
          }
        ],
        "companyAddress": "Acme Inc",
        "companyCity": "Acme Inc",
        "companyContinent": "Acme Inc",
        "companyCountry": "Acme Inc",
        "companyCrunchbaseUrl": "https://example.com/page",
        "companyDescription": "Acme Inc",
        "companyDomain": "example.com",
        "companyDomainLtd": "example.com",
        "companyEmployeeCount": 12500,
        "companyEmployeeRangeMin": 42,
        "companyFacebookUrl": "https://example.com/page",
        "companyFoundedYear": 2024,
        "companyId": "Acme Inc",
        "companyImage": "https://example.com/image.jpg",
        "companyIndustries": [
          "Acme Inc"
        ],
        "companyIndustry": "Acme Inc",
        "companyKeywords": [
          "Acme Inc"
        ],
        "companyLanguages": [
          "Acme Inc"
        ],
        "companyLatitude": 37.7749,
        "companyLegalName": "Acme Inc",
        "companyLinkedinUrl": "https://example.com/page",
        "companyLocations": [
          {
            "address": "123 Main St",
            "city": "San Francisco",
            "continent": "example",
            "country": "US",
            "latitude": 37.7749,
            "longitude": -122.4194,
            "postalCode": "94107",
            "state": "CA",
            "street": "123 Main St"
          }
        ],
        "companyLongitude": -122.4194,
        "companyNaics": [
          "Acme Inc"
        ],
        "companyName": "Acme Inc",
        "companyOverview": "Acme Inc",
        "companyPostalCode": "Acme Inc",
        "companyRevenueMax": 20,
        "companyRevenueMin": 20,
        "companyRevenueRange": "Acme Inc",
        "companySeoDescription": "Acme Inc",
        "companyStartUtc": 42,
        "companyState": "Acme Inc",
        "companyStreet": "Acme Inc",
        "companySubOrganizations": [
          "Acme Inc"
        ],
        "companyTechnologies": [
          {
            "category": "general",
            "name": "Example title"
          }
        ],
        "companyTwitterUrl": "https://example.com/page",
        "companyType": "Acme Inc",
        "companyUpdatedUtc": 42,
        "companyWebsiteUrl": "https://example.com/page",
        "connectionCount": 12500,
        "country": "US",
        "creator": true,
        "departments": [
          "example"
        ],
        "educations": [
          {
            "degreeName": "Example title",
            "endUtc": 42,
            "fieldOfStudy": "example",
            "grade": "example",
            "schoolId": null,
            "schoolImage": null,
            "schoolName": "Example title",
            "schoolUrl": "https://example.com/page",
            "startUtc": 42
          }
        ],
        "experience": [
          {
            "companyEmployeeRangeMax": 42,
            "companyEmployeeRangeMin": 42,
            "companyId": "Acme Inc",
            "companyImage": "https://example.com/image.jpg",
            "companyLinkedinUrl": "https://example.com/page",
            "companyName": "Acme Inc",
            "endUtc": 42,
            "positions": [
              null
            ],
            "startUtc": 42
          }
        ],
        "facebookUrl": "https://example.com/page",
        "firstName": "Alex",
        "followable": null,
        "followerCount": 12500,
        "fullName": "Alex Rivera",
        "functions": [
          "example"
        ],
        "githubUrl": "https://example.com/page",
        "headline": "Example title",
        "hiring": true,
        "image": "https://example.com/image.jpg",
        "industry": "general",
        "influencer": true,
        "lastName": "Rivera",
        "linkedinHandle": "https://example.com/page",
        "linkedinUrl": "https://example.com/page",
        "location": "example",
        "locationPosition": null,
        "locationShort": "example",
        "middleName": "Example title",
        "networkInfluencer": true,
        "openToWork": true,
        "premium": true,
        "previousJobTitles": null,
        "primaryLanguage": "en",
        "primaryLanguageCountry": "US",
        "profileBackground": null,
        "profileId": "a1b2c3d4",
        "profileLanguages": null,
        "seniority": "example",
        "skills": [
          "example"
        ],
        "state": "CA",
        "subDepartments": [
          "example"
        ],
        "summary": "A short example description of this item.",
        "supportedLocales": [
          {
            "country": "US",
            "language": "en"
          }
        ],
        "title": "Example title",
        "titleStartUtc": 42,
        "twitterUrl": "https://example.com/page",
        "updatedUtc": 42,
        "verified": true
      }
    ],
    "size": 42,
    "total": 12500,
    "totalPages": 12500
  },
  "found": true,
  "reason": "not_found"
}
Response interface
interface PeopleSearchAiArkResponse {
  data: {
    page: number;
    people: {
      birthDate?: string;
      careerStartUtc?: number;
      city?: string;
      companyAcquisitionCount?: number;
      companyAcquisitions?: {
        announcedUtc?: number;
        imageKey?: string;
        name?: string;
        recordId?: string;
        role?: string;
      }[];
      companyAddress?: string;
      companyCity?: string;
      companyContinent?: string;
      companyCountry?: string;
      companyCrunchbaseUrl?: string;
      companyDescription?: string;
      companyDomain?: string;
      companyDomainLtd?: string;
      companyEmployeeCount?: number;
      companyEmployeeRangeMin?: number;
      companyFacebookUrl?: string;
      companyFoundedYear?: number;
      companyId?: string;
      companyImage?: string;
      companyIndustries?: string[];
      companyIndustry?: string;
      companyKeywords?: string[];
      companyLanguages?: string[];
      companyLatitude?: number;
      companyLegalName?: string;
      companyLinkedinUrl?: string;
      companyLocations?: {
        address?: string;
        city?: string;
        continent?: string;
        country?: string;
        latitude?: number;
        longitude?: number;
        postalCode?: string;
        state?: string;
        street?: string;
      }[];
      companyLongitude?: number;
      companyNaics?: string[];
      companyName?: string;
      companyOverview?: string;
      companyPostalCode?: string;
      companyRevenueMax?: number;
      companyRevenueMin?: number;
      companyRevenueRange?: string;
      companySeoDescription?: string;
      companyStartUtc?: number;
      companyState?: string;
      companyStreet?: string;
      companySubOrganizations?: string[];
      companyTechnologies?: {
        category?: string;
        name?: string;
      }[];
      companyTwitterUrl?: string;
      companyType?: string;
      companyUpdatedUtc?: number;
      companyWebsiteUrl?: string;
      connectionCount?: number;
      country?: string;
      creator?: boolean;
      departments?: string[];
      educations?: {
        degreeName?: string;
        endUtc?: number;
        fieldOfStudy?: string;
        grade?: string;
        schoolId?: any;
        schoolImage?: any;
        schoolName?: string;
        schoolUrl?: string;
        startUtc?: number;
      }[];
      experience?: {
        companyEmployeeRangeMax?: number;
        companyEmployeeRangeMin?: number;
        companyId?: string;
        companyImage?: string;
        companyLinkedinUrl?: string;
        companyName?: string;
        endUtc?: number;
        positions?: {
          companyName?: string;
          description?: string;
          employmentType?: string;
          endUtc?: number;
          location?: string;
          startUtc?: number;
          title?: string;
        }[];
        startUtc?: number;
      }[];
      facebookUrl?: string;
      firstName?: string;
      followable?: any;
      followerCount?: number;
      fullName: string;
      functions?: string[];
      githubUrl?: string;
      headline?: string;
      hiring?: boolean;
      image?: string;
      industry?: string;
      influencer?: boolean;
      lastName?: string;
      linkedinHandle?: string;
      linkedinUrl: string;
      location?: string;
      locationPosition?: any;
      locationShort?: string;
      middleName?: string;
      networkInfluencer?: boolean;
      openToWork?: boolean;
      premium?: boolean;
      previousJobTitles?: any;
      primaryLanguage?: string;
      primaryLanguageCountry?: string;
      profileBackground?: any;
      profileId?: string;
      profileLanguages?: any;
      seniority?: string;
      skills?: string[];
      state?: string;
      subDepartments?: string[];
      summary?: string;
      supportedLocales?: {
        country?: string;
        language?: string;
      }[];
      title?: string;
      titleStartUtc?: number;
      twitterUrl?: string;
      updatedUtc?: number;
      verified?: boolean;
    }[];
    size: number;
    total: number;
    totalPages: number;
  } | null;
  found: boolean;
  reason?: "not_found";
}

Full parameter and response reference - every field, type, and example for this endpoint.

Reference

Request, response, and price

Last verified 2026-09-20 · uptime and latency measured over 30d
POST /v1/run/people_search.ai_ark
curl -X POST https://api.getanyapi.com/v1/run/people_search.ai_ark \
  -H "Authorization: Bearer $ANYAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"page":0,"size":1}'
FieldTypeExample value
Request body
accountstringCompany-level filters, keyed by filter name. Accepted names: domain, employeeSize, foundedYear, funding, geoLocation, industries, keyword, language, linkedin, metric, naics, name, phoneNumber, productAndServices, retailSize, revenue, socialMedia, socialMediaLink, technologies, technology, type, url, location. Any other name is rejected. Most names take {"any"|"all": {"include": [...], "exclude": [...]}}, for example {"type": {"any": {"include": ["PUBLIC_COMPANY"]}}}. The any/all object goes INSIDE the filter name, never at the top of account. Size and money filters (employeeSize, foundedYear, revenue, retailSize) instead take {"type": "RANGE", "range": {"start": 50, "end": 200}} or {"type": "ALL"|"NONE"}; geoLocation takes {"position": {"lat": 0, "lng": 0}, "radius": 50, "unit": "km"|"mi"}; keyword takes {"any"|"all": {"include"|"exclude": {"content": ["..."], "sources": [{"mode": "WORD"|"SMART"|"STRICT", "source": "NAME"|"KEYWORD"|"SEO"|"DESCRIPTION"|"INDUSTRY"}]}}}.
contactstringPerson-level filters, keyed by filter name. Accepted names: certification, certifications, company, contactLanguage, contactLocation, currentCompany, department, departmentAndFunction, education, experience, fullName, function, keyword, language, linkedin, location, name, pastCompany, profileBadge, seniority, skill, skills, socialMedia, socialMediaFollower, socialMediaLink, socialProfile, title. Any other name is rejected. Names take {"any"|"all": {"include": [...], "exclude": [...]}}, with the any/all object INSIDE the filter name rather than at the top of contact. Free-text search goes through keyword, which takes {"any"|"all": {"include"|"exclude": {"content": ["..."], "sources": [{"mode": "WORD"|"SMART"|"STRICT", "source": "HEADLINE"|"SUMMARY"|"ORGANIZATION"|"SKILL"|"WORK_HISTORY_DESCRIPTION"|"EDUCATION_DESCRIPTION"|"CERTIFICATION"|"PUBLICATION"|"PATENT"|"AWARD"|"COURSE"|"PROJECTS"|"VOLUNTEERING"|"LANGUAGE_SKILL"|"TEST_SCORE"}]}}}, for example {"keyword": {"any": {"include": {"content": ["engineer"], "sources": [{"mode": "SMART", "source": "HEADLINE"}]}}}}.
listsstringAI Ark saved-list filter expression.
pageinteger0Zero-based result page.
sizeinteger1Maximum people to return on this page.
Response
dataobjectNormalized people and page metadata, or null when no people matched.
data.pageintegerZero-based page number returned by the source.
data.peopleobject[]People returned on this page.
data.people[].birthDatestringBirthday as published on the profile, in YYYY-MM-DD form. LinkedIn lets a member hide the year, and the source encodes that as the placeholder year 1600 - treat the year as unknown when it reads 1600 rather than as a real date.
data.people[].careerStartUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].citystringLocation city.
data.people[].companyAcquisitionCountintegerNumber of acquisitions the source records for the current company.
data.people[].companyAcquisitionsobject[]Acquisitions the source records for the current company, with the role telling you which side the company was on.
data.people[].companyAcquisitions[].announcedUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].companyAcquisitions[].imageKeystringThe source's internal image key for the counterparty. It is a bare key, not a URL.
data.people[].companyAcquisitions[].namestringCounterparty organization name.
data.people[].companyAcquisitions[].recordIdstringThe source's own slug for the counterparty organization.
data.people[].companyAcquisitions[].rolestringThe current company's side of the deal, for example acquiree.
data.people[].companyAddressstringCurrent company headquarters address as published by the source.
data.people[].companyCitystringCurrent company headquarters city.
data.people[].companyContinentstringCurrent company headquarters continent.
data.people[].companyCountrystringCurrent company headquarters country.
data.people[].companyCrunchbaseUrlstringCurrent company's Crunchbase URL.
data.people[].companyDescriptionstringCurrent company description.
data.people[].companyDomainstringCurrent company domain.
data.people[].companyDomainLtdstringThe source's second copy of the current company's domain. Usually identical to companyDomain; it can differ when the source resolves a redirect or a country domain differently, so compare the two rather than assuming they match.
data.people[].companyEmployeeCountintegerEstimated employees at the current company.
data.people[].companyEmployeeRangeMinintegerLower bound of the current company's published employee range.
data.people[].companyFacebookUrlstringCurrent company's canonical Facebook URL.
data.people[].companyFoundedYearintegerYear the current company was founded.
data.people[].companyIdstringThe source's own record identifier for the current company, exposed so you can trace a result back to the record it came from.
data.people[].companyImagestringCurrent company logo URL. This is a SIGNED, EXPIRING image-proxy URL - the path carries an exp: epoch roughly five days out - so fetch and store the image promptly rather than storing this URL.
data.people[].companyIndustriesstring[]Additional industries for the current company.
data.people[].companyIndustrystringCurrent company's primary industry.
data.people[].companyKeywordsstring[]Keywords describing the current company.
data.people[].companyLanguagesstring[]Languages the current company publishes in.
data.people[].companyLatitudenumberCurrent company headquarters latitude in decimal degrees.
data.people[].companyLegalNamestringCurrent company's registered legal name.
data.people[].companyLinkedinUrlstringCurrent company's canonical LinkedIn URL.
data.people[].companyLocationsobject[]Every office the source lists for the current company, including the headquarters already reported in the companyCountry/companyCity fields.
data.people[].companyLocations[].addressstringOffice address as published by the source.
data.people[].companyLocations[].citystringOffice city.
data.people[].companyLocations[].continentstringOffice continent.
data.people[].companyLocations[].countrystringOffice country.
data.people[].companyLocations[].latitudenumberOffice latitude in decimal degrees.
data.people[].companyLocations[].longitudenumberOffice longitude in decimal degrees.
data.people[].companyLocations[].postalCodestringOffice postal code.
data.people[].companyLocations[].statestringOffice state or region.
data.people[].companyLocations[].streetstringOffice street or neighbourhood line.
data.people[].companyLongitudenumberCurrent company headquarters longitude in decimal degrees.
data.people[].companyNaicsstring[]NAICS codes for the current company.
data.people[].companyNamestringCurrent company name.
data.people[].companyOverviewstringLonger overview of the current company. Overlaps companyDescription but is a separately maintained blurb and is often longer or more current.
data.people[].companyPostalCodestringCurrent company headquarters postal code.
data.people[].companyRevenueMaxintegerUpper bound of the current company's estimated annual revenue in USD.
data.people[].companyRevenueMinintegerLower bound of the current company's estimated annual revenue in USD.
data.people[].companyRevenueRangestringThe same annual revenue estimate as a single hyphenated range string, for example 500000000-1000000000. It duplicates companyRevenueMin and companyRevenueMax; use those for arithmetic.
data.people[].companySeoDescriptionstringThe meta description the source scraped from the current company's website. It is site copy, not the source's own writing, so it may be in another language or out of date.
data.people[].companyStartUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].companyStatestringCurrent company headquarters state or region.
data.people[].companyStreetstringCurrent company headquarters street or neighbourhood line.
data.people[].companySubOrganizationsstring[]The source's own record identifiers for the current company's sub-organizations, exposed so you can look each one up in the company endpoints.
data.people[].companyTechnologiesobject[]Technologies detected on the current company's web presence.
data.people[].companyTechnologies[].categorystringTechnology category.
data.people[].companyTechnologies[].namestringTechnology name.
data.people[].companyTwitterUrlstringCurrent company's canonical X (Twitter) URL.
data.people[].companyTypestringCurrent company's organization type.
data.people[].companyUpdatedUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].companyWebsiteUrlstringCurrent company website URL.
data.people[].connectionCountintegerLinkedIn connection count.
data.people[].countrystringLocation country.
data.people[].creatorbooleanWhether the profile is in LinkedIn creator mode.
data.people[].departmentsstring[]Departments the current role belongs to.
data.people[].educationsobject[]Education history listed on the profile.
data.people[].educations[].degreeNamestringDegree earned.
data.people[].educations[].endUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].educations[].fieldOfStudystringField of study.
data.people[].educations[].gradestringGrade as published on the profile.
data.people[].educations[].schoolIdanyThe source's own record identifier for the school. Untyped passthrough: the source returns null on the profiles observed so far, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it.
data.people[].educations[].schoolImageanyThe school logo as the source returns it. Untyped passthrough: the source returns null on the profiles observed so far, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it.
data.people[].educations[].schoolNamestringSchool name.
data.people[].educations[].schoolUrlstringCanonical school page URL.
data.people[].educations[].startUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].experienceobject[]Work history grouped by company, most recent first.
data.people[].experience[].companyEmployeeRangeMaxintegerUpper bound of this company's published employee range.
data.people[].experience[].companyEmployeeRangeMinintegerLower bound of this company's published employee range.
data.people[].experience[].companyIdstringThe source's own record identifier for this company, exposed so you can trace a result back to the record it came from.
data.people[].experience[].companyImagestringCompany logo URL. This is a SIGNED, EXPIRING image-proxy URL - the path carries an exp: epoch roughly five days out - so fetch and store the image promptly rather than storing this URL.
data.people[].experience[].companyLinkedinUrlstringCanonical LinkedIn URL for this company.
data.people[].experience[].companyNamestringCompany name for this block of work history.
data.people[].experience[].endUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].experience[].positionsobject[]Individual roles held at this company.
data.people[].experience[].positions[].companyNamestringCompany name as published on the role.
data.people[].experience[].positions[].descriptionstringRole description.
data.people[].experience[].positions[].employmentTypestringEmployment type, for example Full-time.
data.people[].experience[].positions[].endUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].experience[].positions[].locationstringRole location.
data.people[].experience[].positions[].startUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].experience[].positions[].titlestringRole title.
data.people[].experience[].startUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].facebookUrlstringCanonical Facebook profile URL.
data.people[].firstNamestringPerson's first name.
data.people[].followableanyWhether the profile can be followed without connecting. Untyped passthrough: the source returns null for most profiles, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it.
data.people[].followerCountintegerLinkedIn follower count.
data.people[].fullNamestringPerson's full name.
data.people[].functionsstring[]Job functions the current role covers.
data.people[].githubUrlstringCanonical GitHub profile URL.
data.people[].headlinestringProfessional profile headline.
data.people[].hiringbooleanWhether the profile is flagged as hiring.
data.people[].imagestringProfile photo URL. This is a SIGNED, EXPIRING image-proxy URL - the path carries an exp: epoch roughly five days out - so fetch and store the image promptly rather than storing this URL.
data.people[].industrystringIndustry the person works in.
data.people[].influencerbooleanWhether the profile carries a LinkedIn influencer badge.
data.people[].lastNamestringPerson's last name.
data.people[].linkedinHandlestringLinkedIn public profile handle, the trailing segment of the profile URL.
data.people[].linkedinUrlstringCanonical LinkedIn profile URL.
data.people[].locationstringFormatted location.
data.people[].locationPositionanyCoordinates for the person's location as the source returns them. Untyped passthrough: the source returns null for most profiles, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it.
data.people[].locationShortstringShorter form of the same location, usually city and state without country or continent. It duplicates part of location.
data.people[].middleNamestringPerson's middle name.
data.people[].networkInfluencerbooleanThe same influencer flag as the badge above, carried on the source's network statistics instead of its badge block. Expected to agree with influencer; compare them if the distinction matters to you.
data.people[].openToWorkbooleanWhether the profile is flagged open to work.
data.people[].premiumbooleanWhether the profile carries a LinkedIn premium badge.
data.people[].previousJobTitlesanyJob titles the person held before the current one, as the source returns them. Untyped passthrough: the source returns null for most profiles, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it. The experience array carries the same history in a typed form.
data.people[].primaryLanguagestringPrimary profile language code.
data.people[].primaryLanguageCountrystringCountry code paired with the primary profile language, for example US.
data.people[].profileBackgroundanyThe profile background or cover image as the source returns it. Untyped passthrough: the source returns null for most profiles, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it.
data.people[].profileIdstringThe source's own record identifier for this person, exposed so you can trace a result back to the record it came from.
data.people[].profileLanguagesanyLanguages the person lists on the profile, as the source returns them. Untyped passthrough: the source returns null for most profiles, so its populated shape is not yet proven and this field carries whatever the source sends without reshaping it.
data.people[].senioritystringSeniority level inferred for the current role.
data.people[].skillsstring[]Skills listed on the profile.
data.people[].statestringLocation state or region.
data.people[].subDepartmentsstring[]Sub-departments the current role belongs to.
data.people[].summarystringProfile summary or about section.
data.people[].supportedLocalesobject[]Every locale the profile is available in. The first entry usually repeats primaryLanguage and primaryLanguageCountry.
data.people[].supportedLocales[].countrystringCountry code for this locale.
data.people[].supportedLocales[].languagestringLanguage code for this locale.
data.people[].titlestringCurrent job title.
data.people[].titleStartUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].twitterUrlstringCanonical X (Twitter) profile URL.
data.people[].updatedUtcintegerUTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
data.people[].verifiedbooleanWhether LinkedIn has verified the profile.
data.sizeintegerConfigured page size.
data.totalintegerTotal matching people.
data.totalPagesintegerTotal result pages.
foundbooleanWhether the search returned at least one person.
reason"not_found"Present only when `found` is false, and says why there is no result. `not_found`: the source states the target does not exist, or returned nothing for it. A `found: false` answer is a successful call, not an error, and `costUsd` is what it actually cost.
Price
Price per request (ceiling)USD$0.84
Price /1k resultsUSD$8.40

FAQ

About the People Search Ai ark API

The AnyAPI People Search Ai ark API returns People Search ai ark data as normalized JSON from one POST call to /v1/run/people_search.ai_ark. Search professional profiles with account, contact, and saved-list filters. AnyAPI returns one normalized schema whichever source serves it. It costs $8.40 per 1,000 results, and never more than $0.84 for a single request, in US dollars with no subscription and no monthly minimum.

It costs $8.40 per 1,000 results, and never more than $0.84 for a single request, in US dollars with no subscription and no monthly minimum. You fund one USD wallet, each call draws it down, and a failed request costs $0.

Search professional profiles with account, contact, and saved-list filters. The response is normalized JSON with the same envelope every AnyAPI endpoint returns, so parsing a second endpoint is a change of URL and nothing else.