API de Person Enrichment

API de Person Enrichment: Peopledatalabs

Enriquece a una persona con correo de trabajo, correos personales, celular, historial laboral completo, formación y datos firmográficos de su empresa a partir de cualquier identificador con el que People Data Labs pueda encontrar coincidencias.

US$240.00/1k solic., pagas por solicitud, sin suscripción.

inElena Voss | LinkedIn Sales Navigator
linkedin.com/sales/lead/elena-voss
SNSales NavigatorMessagingAlerts
LeadsAccounts

Elena Voss

Director of Product at Cobalt Loop

Seattle, Washington, United States

Current: Cobalt Loop

MessageSave as leadView LinkedIn profile
OverviewExperienceTeamLink

Experience

Director of Product

Cobalt Loop · 2022 - Present

Senior Product Manager

Fernbrook Systems · 2019 - 2022

Education

University of Washington

Bachelor of Arts

Skills

Product StrategySQLRoadmappingA/B TestingFigma

Recent activity

Lo que devolvió la APIemails[0]
{
"address": "elena.voss@cobaltloop.io",
"type": "professional"
}
Disponibilidad
100.00%
30d · 88 llamadas
Solicitudes
89
30d · semanal, últimas 12 sem.
Respuesta
2.4s
mediana · 30d

Precios

Precios del endpoint Peopledatalabs de la API de Person Enrichment

Pagas
US$2,400.00
US$240.00/1k solic., solo por lo que usas. Sin plan mensual.

Llámalo

Obtén Peopledatalabs de Person Enrichment en una sola solicitud

import os, requests

res = requests.post(
    "https://api.getanyapi.com/v1/run/person_enrichment.peopledatalabs",
    headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"},
    json={
        "profile": "https://www.linkedin.com/in/dharmesh"
    },
)
print(res.json())
Abrir en
Respuesta de ejemplo

Este ejemplo muestra 140 de 141 campos. Ver todos los campos

{
  "found": true,
  "data": {
    "fullName": "Elena Voss",
    "pdlId": "pdl_per_6b19f0",
    "firstName": "Elena",
    "middleName": "Marie",
    "lastName": "Voss",
    "middleInitial": "M",
    "lastInitial": "V",
    "sex": "female",
    "birthYear": 1990,
    "birthDate": "1990-04-12",
    "linkedinUrl": "https://www.linkedin.com/in/elenavoss",
    "linkedinUsername": "elenavoss",
    "linkedinId": "384710225",
    "facebookUrl": "https://www.facebook.com/elena.voss.90",
    "facebookUsername": "elena.voss.90",
    "facebookId": "1029384756",
    "twitterUrl": "https://x.com/elenavoss",
    "twitterUsername": "elenavoss",
    "githubUrl": "https://github.com/elenavoss",
    "githubUsername": "elenavoss",
    "workEmail": "elena.voss@cobaltloop.io",
    "personalEmails": [
      "elena.m.voss@gmail.com"
    ],
    "recommendedPersonalEmail": "elena.m.voss@gmail.com",
    "mobilePhone": "+14155550171",
    "phoneNumbers": [
      "+14155550171"
    ],
    "emails": [
      {
        "address": "elena.voss@cobaltloop.io",
        "type": "professional"
      },
      {
        "address": "elena.m.voss@gmail.com",
        "type": "personal"
      }
    ],
    "industry": "computer software",
    "jobTitle": "Director of Product",
    "jobTitleRole": "product",
    "jobTitleSubRole": "product_management",
    "jobTitleClass": "engineering_and_product",
    "jobTitleLevels": [
      "director"
    ],
    "jobStartDate": "2022-03",
    "jobChangedUtc": 1646092800,
    "jobVerifiedUtc": 1758499200,
    "company": {
      "companyId": "pdl_co_9182a4",
      "name": "Cobalt Loop",
      "website": "cobaltloop.io",
      "size": "51-200",
      "founded": 2018,
      "industry": "computer software",
      "industryV2": "software development",
      "linkedinUrl": "https://www.linkedin.com/company/cobalt-loop",
      "linkedinId": "18294732",
      "facebookUrl": "https://www.facebook.com/cobaltloop",
      "twitterUrl": "https://x.com/cobaltloop",
      "locationName": "Seattle, Washington, United States",
      "locality": "Seattle",
      "metro": "seattle, washington",
      "region": "Washington",
      "country": "United States",
      "continent": "North America",
      "streetAddress": "1201 3rd Ave",
      "addressLine2": "Suite 2200",
      "postalCode": "98101",
      "geo": "47.6062,-122.3321"
    },
    "location": {
      "name": "Seattle, Washington, United States",
      "locality": "Seattle",
      "metro": "seattle, washington",
      "region": "Washington",
      "country": "United States",
      "continent": "North America",
      "streetAddress": "820 Pine St",
      "addressLine2": "Apt 4B",
      "postalCode": "98101",
      "geo": "47.6097,-122.3331",
      "updatedUtc": 1755600000
    },
    "locationNames": [
      "seattle, washington, united states",
      "portland, oregon, united states"
    ],
    "regions": [
      "washington",
      "oregon"
    ],
    "countries": [
      "united states"
    ],
    "streetAddresses": [
      {
        "name": "Seattle, Washington, United States",
        "locality": "Seattle",
        "metro": "seattle, washington",
        "region": "Washington",
        "country": "United States",
        "continent": "North America",
        "streetAddress": "820 Pine St",
        "addressLine2": "Apt 4B",
        "postalCode": "98101",
        "geo": "47.6097,-122.3331"
      }
    ],
    "interests": [
      "product management",
      "climbing",
      "coffee"
    ],
    "skills": [
      "Product Strategy",
      "SQL",
      "Roadmapping",
      "A/B Testing",
      "Figma"
    ],
    "experience": [
      {
        "title": "Director of Product",
        "titleRole": "product",
        "titleSubRole": "product_management",
        "titleClass": "engineering_and_product",
        "titleLevels": [
          "director"
        ],
        "startDate": "2022-03",
        "isPrimary": true,
        "locationNames": [
          "seattle, washington, united states"
        ],
        "companyName": "Cobalt Loop",
        "companyId": "pdl_co_9182a4",
        "companySize": "51-200",
        "companyFounded": 2018,
        "companyIndustry": "computer software",
        "companyWebsite": "cobaltloop.io",
        "companyLinkedinUrl": "https://www.linkedin.com/company/cobalt-loop",
        "companyLocationName": "Seattle, Washington, United States",
        "companyIndustryV2": "software development",
        "companyLocality": "Seattle",
        "companyRegion": "Washington",
        "companyMetro": "seattle, washington",
        "companyLocationCountry": "United States",
        "companyContinent": "North America",
        "companyStreetAddress": "1201 3rd Ave",
        "companyPostalCode": "98101",
        "companyGeo": "47.6062,-122.3321",
        "companyLinkedinId": "18294732",
        "companyFacebookUrl": "https://www.facebook.com/cobaltloop",
        "companyTwitterUrl": "https://x.com/cobaltloop"
      },
      {
        "title": "Senior Product Manager",
        "titleRole": "product",
        "titleSubRole": "product_management",
        "titleClass": "engineering_and_product",
        "titleLevels": [
          "senior"
        ],
        "startDate": "2019-06",
        "endDate": "2022-02",
        "isPrimary": false,
        "locationNames": [
          "portland, oregon, united states"
        ],
        "companyName": "Fernbrook Systems",
        "companyId": "pdl_co_4471bb",
        "companySize": "201-500",
        "companyIndustry": "computer software",
        "companyWebsite": "fernbrooksystems.com",
        "companyLinkedinUrl": "https://www.linkedin.com/company/fernbrook-systems"
      }
    ],
    "education": [
      {
        "schoolName": "University of Washington",
        "schoolId": "pdl_sc_7723",
        "schoolType": "post-secondary institution",
        "schoolWebsite": "washington.edu",
        "schoolLinkedinUrl": "https://www.linkedin.com/school/university-of-washington",
        "schoolLocationName": "Seattle, Washington, United States",
        "degrees": [
          "Bachelor of Arts"
        ],
        "majors": [
          "Business Administration"
        ],
        "minors": [
          "Economics"
        ],
        "startDate": "2008-09",
        "endDate": "2012-06",
        "gpa": 3.7
      }
    ],
    "profiles": [
      {
        "network": "linkedin",
        "url": "https://www.linkedin.com/in/elenavoss",
        "username": "elenavoss",
        "profileId": "384710225"
      },
      {
        "network": "github",
        "url": "https://github.com/elenavoss",
        "username": "elenavoss",
        "profileId": "elenavoss"
      },
      {
        "network": "twitter",
        "url": "https://x.com/elenavoss",
        "username": "elenavoss",
        "profileId": "elenavoss"
      }
    ],
    "profileScore": "high",
    "activityScore": "medium",
    "datasetVersion": "31.2"
  }
}

Referencia completa de parámetros y respuesta: cada campo, tipo y ejemplo de este endpoint.

Referencia

Una solicitud, un formato de respuesta.

Cada campo que envías y cada campo que recibes, cada uno con un ejemplo real.

Verificado por última vez el 2026-11-14 · disponibilidad y latencia medidas en 30d

Cuerpo de la solicitud

JSON, enviado por POST a este endpoint.

  • birthDatestring

    Fecha de nacimiento conocida, para desambiguar una coincidencia por nombre.

  • companystring

    Nombre de empresa, sitio web o URL de red social donde ha trabajado la persona.

  • countrystring

    País con el que buscar coincidencias.

  • dataIncludestring

    Campos de People Data Labs separados por comas que incluir, o una lista precedida de - para excluir. La proyección solo cambia el payload; no reduce lo que cuesta la llamada.

  • emailstring

    Cualquier dirección de correo electrónico que haya usado la persona.

  • emailHashstring

    Hash SHA-256 o MD5 de una dirección de correo electrónico, para buscar coincidencias preservando la privacidad.

  • firstNamestring

    Nombre de pila. Envíalo con lastName más empresa, escuela o ubicación.

  • includeIfMatchedboolean

    Indica cuáles de los identificadores enviados coincidieron realmente.

  • lastNamestring

    Apellido. Envíalo con firstName más empresa, escuela o ubicación.

  • linkedinIdstring

    ID numérico de miembro de LinkedIn (PDL lo llama lid).

  • localitystring

    Ciudad o localidad con la que buscar coincidencias.

  • locationstring

    Ubicación en texto libre, p. ej. brookline, massachusetts, united states.

  • middleNamestring

    Segundo nombre.

  • minLikelihoodinteger

    Puntuación de probabilidad mínima de People Data Labs que debe alcanzar una coincidencia para contar como encontrada. Si se omite, este SKU envía 6; el valor predeterminado de People Data Labs es 2.

  • namestring

    Nombre completo, como alternativa a firstName más lastName.

  • pdlIdstring

    ID persistente de persona de People Data Labs, tal como lo devuelve la salida pdlId de este SKU.

  • phonestring

    Número de teléfono en formato internacional, p. ej. +16176695906.

  • postalCodestring

    Código postal o ZIP con el que buscar coincidencias.

  • profilestring

    https://www.linkedin.com/in/elenavoss

    URL de un perfil social que haya usado la persona, p. ej. un perfil de LinkedIn, Twitter, Facebook o GitHub. El identificador individual más sólido.

  • regionstring

    Estado o región con el que buscar coincidencias.

  • requiredstring

    Expresión booleana de People Data Labs sobre campos de primer nivel que una coincidencia debe cumplir, p. ej. personal_emails or (emails and phone_numbers).

  • schoolstring

    Escuela a la que asistió la persona, usada para desambiguar una coincidencia por nombre.

  • streetAddressstring

    Dirección postal con la que buscar coincidencias.

  • titlecaseboolean

    Devuelve el texto con mayúscula inicial en cada palabra en lugar del texto en minúsculas que People Data Labs usa por defecto.

Envías. Un cuerpo JSON pequeño. Los valores que se muestran son ejemplos para reemplazar por los tuyos.

Respuesta

JSON, un valor de ejemplo por campo.

datadata

The enriched person, or null when nothing matched.

  • activityScorestring

    medium

    People Data Labs' qualitative score for how recently the profile showed activity.

  • birthDatestring

    1990-04-12

    Date of birth as People Data Labs reports it, YYYY-MM-DD.

  • birthYearinteger

    1990

    Year of birth.

  • countriesstring[]

    Every country associated with the person.

  • datasetVersionstring

    31.2

    Version of the People Data Labs dataset this record came from.

  • facebookIdstring

    1029384756

    Facebook numeric id.

  • facebookUrlstring

    https://www.facebook.com/elena.voss.90

    Facebook profile URL.

  • facebookUsernamestring

    elena.voss.90

    Facebook handle.

  • firstNamestring

    Elena

    First name.

  • fullNamestring

    Elena Voss

    Person's full name.

  • githubUrlstring

    https://github.com/elenavoss

    GitHub profile URL.

  • githubUsernamestring

    elenavoss

    GitHub handle.

  • industrystring

    computer software

    Industry the person works in.

  • interestsstring[]

    Interests the person lists.

  • jobChangedUtcnumber

    1646092800

    UTC epoch timestamp in seconds (Unix time) the person last changed jobs. Multiply by 1000 for a JS Date in milliseconds.

  • jobStartDatestring

    2022-03

    When the current role started, as People Data Labs reports it: YYYY, YYYY-MM or YYYY-MM-DD.

  • jobTitlestring

    Director of Product

    Current job title.

  • jobTitleClassstring

    engineering_and_product

    Normalized title class, e.g. research_and_development.

  • jobTitleLevelsstring[]

    Seniority levels for the current title, e.g. cxo, owner.

  • jobTitleRolestring

    product

    Normalized role for the current title, e.g. engineering.

  • jobTitleSubRolestring

    product_management

    Normalized sub-role for the current title.

  • jobVerifiedUtcnumber

    1758499200

    UTC epoch timestamp in seconds (Unix time) the current role was last verified. Multiply by 1000 for a JS Date in milliseconds.

  • lastInitialstring

    V

    Last initial.

  • lastNamestring

    Voss

    Last name.

  • linkedinIdstring

    384710225

    LinkedIn numeric member id.

  • linkedinUrlstring

    https://www.linkedin.com/in/elenavoss

    LinkedIn profile URL.

  • linkedinUsernamestring

    elenavoss

    LinkedIn vanity handle.

  • locationNamesstring[]

    Every location People Data Labs has associated with the person.

  • middleInitialstring

    M

    Middle initial.

  • middleNamestring

    Marie

    Middle name.

  • mobilePhonestring

    +14155550171

    Mobile phone number in international form.

  • pdlIdstring

    pdl_per_6b19f0

    People Data Labs persistent person id. Send it back as this SKU's pdlId input.

  • personalEmailsstring[]

    Personal email addresses.

  • phoneNumbersstring[]

    Every phone number held for the person.

  • profileScorestring

    high

    People Data Labs' qualitative score for how complete the profile is.

  • recommendedPersonalEmailstring

    elena.m.voss@gmail.com

    The personal address People Data Labs recommends reaching the person at.

  • regionsstring[]

    Every region associated with the person.

  • sexstring

    female

    Sex recorded for the person.

  • skillsstring[]

    Skills the person lists.

  • twitterUrlstring

    https://x.com/elenavoss

    X (Twitter) profile URL.

  • twitterUsernamestring

    elenavoss

    X (Twitter) handle.

  • workEmailstring

    elena.voss@cobaltloop.io

    Best work email address.

companydata.company

The person's current employer.

  • addressLine2string

    Suite 2200

    Second line of the headquarters address.

  • companyIdstring

    pdl_co_9182a4

    People Data Labs company id.

  • continentstring

    North America

    Headquarters continent.

  • countrystring

    United States

    Headquarters country.

  • facebookUrlstring

    https://www.facebook.com/cobaltloop

    Company Facebook page URL.

  • foundedinteger

    2018

    Year the company was founded.

  • geostring

    47.6062,-122.3321

    Headquarters coordinates as "lat,lon".

  • industrystring

    computer software

    Company industry.

  • industryV2string

    software development

    Company industry on People Data Labs' newer taxonomy.

  • linkedinIdstring

    18294732

    Company LinkedIn numeric id.

  • linkedinUrlstring

    https://www.linkedin.com/company/cobalt-loop

    Company LinkedIn page URL.

  • localitystring

    Seattle

    Headquarters city.

  • locationNamestring

    Seattle, Washington, United States

    Headquarters location as one display string.

  • metrostring

    seattle, washington

    Headquarters metro area.

  • namestring

    Cobalt Loop

    Company name.

  • postalCodestring

    98101

    Headquarters postal code.

  • regionstring

    Washington

    Headquarters state or region.

  • sizestring

    51-200

    Employee headcount band, e.g. 5001-10000.

  • streetAddressstring

    1201 3rd Ave

    Headquarters street address.

  • twitterUrlstring

    https://x.com/cobaltloop

    Company X (Twitter) profile URL.

  • websitestring

    cobaltloop.io

    Company website domain.

each educationdata.education[]

Education history.

  • degreesstring[]

    Degrees earned.

  • endDatestring

    2012-06

    When study ended.

  • gpanumber

    3.7

    Grade point average, when the person published one.

  • majorsstring[]

    Majors studied.

  • minorsstring[]

    Minors studied.

  • schoolIdstring

    pdl_sc_7723

    People Data Labs school id.

  • schoolLinkedinUrlstring

    https://www.linkedin.com/school/university-of-washington

    School LinkedIn page URL.

  • schoolLocationNamestring

    Seattle, Washington, United States

    School location as one display string.

  • schoolNamestring

    University of Washington

    School name.

  • schoolTypestring

    post-secondary institution

    School type, e.g. post-secondary institution.

  • schoolWebsitestring

    washington.edu

    School website domain.

  • startDatestring

    2008-09

    When study started: YYYY, YYYY-MM or YYYY-MM-DD.

each emaildata.emails[]

Every email address held for the person, with its kind.

  • addressstring

    elena.voss@cobaltloop.io

    Email address.

  • typestring

    professional

    Address kind, e.g. professional or personal.

each experiencedata.experience[]

Work history, most relevant first.

  • companyContinentstring

    North America

    Employer headquarters continent.

  • companyFacebookUrlstring

    https://www.facebook.com/cobaltloop

    Employer Facebook page URL.

  • companyFoundedinteger

    2018

    Year the employer was founded.

  • companyGeostring

    47.6062,-122.3321

    Employer headquarters coordinates as "lat,lon".

  • companyIdstring

    pdl_co_9182a4

    People Data Labs company id for the employer.

  • companyIndustrystring

    computer software

    Employer industry.

  • companyIndustryV2string

    software development

    Employer industry on the newer PeopleDataLabs taxonomy.

  • companyLinkedinIdstring

    18294732

    Employer LinkedIn numeric id.

  • companyLinkedinUrlstring

    https://www.linkedin.com/company/cobalt-loop

    Employer LinkedIn page URL.

  • companyLocalitystring

    Seattle

    Employer headquarters locality.

  • companyLocationCountrystring

    United States

    Employer headquarters country.

  • companyLocationNamestring

    Seattle, Washington, United States

    Employer headquarters as one display string.

  • companyMetrostring

    seattle, washington

    Employer headquarters metro area.

  • companyNamestring

    Cobalt Loop

    Employer name.

  • companyPostalCodestring

    98101

    Employer headquarters postal code.

  • companyRegionstring

    Washington

    Employer headquarters region or state.

  • companySizestring

    51-200

    Employer headcount band.

  • companyStreetAddressstring

    1201 3rd Ave

    Employer headquarters street address.

  • companyTwitterUrlstring

    https://x.com/cobaltloop

    Employer X or Twitter profile URL.

  • companyWebsitestring

    cobaltloop.io

    Employer website domain.

  • endDatestring

    When the role ended, absent while the role is current.

  • isPrimaryboolean

    true

    True for the role People Data Labs treats as current.

  • locationNamesstring[]

    Where the role was based.

  • startDatestring

    2022-03

    When the role started: YYYY, YYYY-MM or YYYY-MM-DD.

  • titlestring

    Director of Product

    Job title held.

  • titleClassstring

    engineering_and_product

    Normalized title class.

  • titleLevelsstring[]

    Seniority levels for the title.

  • titleRolestring

    product

    Normalized role for the title.

  • titleSubRolestring

    product_management

    Normalized sub-role for the title.

locationdata.location

Where the person lives.

  • addressLine2string

    Apt 4B

    Second line of the address.

  • continentstring

    North America

    Continent.

  • countrystring

    United States

    Country.

  • geostring

    47.6097,-122.3331

    Coordinates as "lat,lon".

  • localitystring

    Seattle

    City.

  • metrostring

    seattle, washington

    Metro area.

  • namestring

    Seattle, Washington, United States

    Location as one display string.

  • postalCodestring

    98101

    Postal code.

  • regionstring

    Washington

    State or region.

  • streetAddressstring

    820 Pine St

    Street address.

  • updatedUtcnumber

    1755600000

    UTC epoch timestamp in seconds (Unix time) the location was last updated. Multiply by 1000 for a JS Date in milliseconds.

each profiledata.profiles[]

Every social profile linked to the person.

  • networkstring

    linkedin

    Network name, e.g. linkedin, github, twitter.

  • profileIdstring

    384710225

    Network's own id for the profile.

  • urlstring

    https://www.linkedin.com/in/elenavoss

    Profile URL.

  • usernamestring

    elenavoss

    Handle on that network.

each streetAddressedata.streetAddresses[]

Every street address associated with the person.

  • addressLine2string

    Apt 4B

    Second line of the address.

  • continentstring

    North America

    Continent.

  • countrystring

    United States

    Country.

  • geostring

    47.6097,-122.3331

    Coordinates as "lat,lon".

  • localitystring

    Seattle

    City.

  • metrostring

    seattle, washington

    Metro area.

  • namestring

    Seattle, Washington, United States

    Address location as one display string.

  • postalCodestring

    98101

    Postal code.

  • regionstring

    Washington

    State or region.

  • streetAddressstring

    820 Pine St

    Street address.

top level
  • foundboolean

    true

    False when People Data Labs matched no person above the likelihood threshold.

  • 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.

Recibes. Campos con nombre y tipo, con el mismo formato sin importar qué fuente responda.

Preguntas frecuentes

Acerca del endpoint Peopledatalabs de la API de Person Enrichment

El endpoint Peopledatalabs de AnyAPI para Person Enrichment devuelve datos de Person Enrichment como JSON normalizado con una sola llamada POST a /v1/run/person_enrichment.peopledatalabs. Enriquece a una persona con correo de trabajo, correos personales, celular, historial laboral completo, formación y datos firmográficos de su empresa a partir de cualquier identificador con el que People Data Labs pueda encontrar coincidencias. AnyAPI devuelve un único esquema normalizado sin importar qué fuente atienda la solicitud. Cuesta desde US$240 por cada 1,000 solicitudes, en dólares estadounidenses, sin suscripción y sin mínimo mensual. En los últimos 30 días, el 100.0% de las llamadas al endpoint Peopledatalabs de la API de Person Enrichment a través de AnyAPI tuvo éxito, con un tiempo de respuesta mediano de 2.4 segundos en 88 llamadas medidas.

Cuesta desde US$240 por cada 1,000 solicitudes, en dólares estadounidenses, sin suscripción y sin mínimo mensual. Agregas fondos a una billetera en dólares y cada llamada descuenta de ella. Algunas solicitudes fallidas pagadas con la billetera generan cargos de procesamiento que trasladamos al costo, sin margen; la respuesta de error muestra el monto cobrado.

Enriquece a una persona con correo de trabajo, correos personales, celular, historial laboral completo, formación y datos firmográficos de su empresa a partir de cualquier identificador con el que People Data Labs pueda encontrar coincidencias. La respuesta es JSON normalizado con el mismo envoltorio que devuelve cada endpoint de AnyAPI, así que procesar un segundo endpoint es solo cambiar la URL.

En los últimos 30 días, el 100.0% de las llamadas al endpoint Peopledatalabs de la API de Person Enrichment a través de AnyAPI tuvo éxito, con un tiempo de respuesta mediano de 2.4 segundos en 88 llamadas medidas. Estas son mediciones propias de AnyAPI sobre el tráfico que pasa por el gateway, recalculadas continuamente, no un objetivo de nivel de servicio publicado.

Sí. Una cuenta nueva de AnyAPI empieza con US$0.10 de saldo gratis, sin tarjeta.

Envía una solicitud POST a https://api.getanyapi.com/v1/run/person_enrichment.peopledatalabs con tu clave de AnyAPI en un encabezado "Authorization: Bearer" y la entrada como cuerpo JSON. La misma clave y la misma billetera sirven para todos los endpoints de AnyAPI.

No. Agregas dólares a un solo saldo prepagado de AnyAPI y cada solicitud descuenta de él. No hay plan mensual ni mínimo, y el mismo saldo paga todos los endpoints de AnyAPI.

Sí. Instala @getanyapi/sdk desde npm para TypeScript o getanyapi desde pip para Python. Ambos llaman a todos los endpoints de AnyAPI con la misma clave, y también sirve cualquier cliente HTTP.

Sí. Un agente puede conectarse al servidor MCP de AnyAPI en https://api.getanyapi.com/mcp, o crear su propia clave de prueba gratis con un solo POST sin autenticar a https://api.getanyapi.com/agent/signup y llamar a este endpoint por HTTP.