Enrich person data

Reference example

# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
  --url https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "email": "john.doe@example.com"
}'

curl --request POST \
  --url https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "email": "john.doe@example.com"
}
'

import requests

url = "https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data"

payload = { "email": "john.doe@example.com" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({email: 'john.doe@example.com'})
};

fetch('https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'email' => 'john.doe@example.com'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data"

	payload := strings.NewReader("{\n  \"email\": \"john.doe@example.com\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"email\": \"john.doe@example.com\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"email\": \"john.doe@example.com\"\n}"

response = http.request(request)
puts response.read_body

{
  "data": {
    "id": "<string>",
    "sex": "<string>",
    "emails": true,
    "phones": [
      {
        "number": "<string>",
        "last_seen": "<string>",
        "first_seen": "<string>",
        "num_sources": 123
      }
    ],
    "skills": [
      "<string>"
    ],
    "regions": true,
    "summary": "<string>",
    "headline": "<string>",
    "industry": "<string>",
    "profiles": [
      {
        "id": "<string>",
        "url": "<string>",
        "network": "<string>",
        "username": "<string>",
        "last_seen": "<string>",
        "first_seen": "<string>",
        "num_sources": 123
      }
    ],
    "countries": [
      "<string>"
    ],
    "education": [
      {
        "gpa": 123,
        "raw": [
          "<string>"
        ],
        "majors": [
          "<string>"
        ],
        "minors": [
          "<string>"
        ],
        "school": {
          "id": "<string>",
          "raw": [
            "<string>"
          ],
          "name": "<string>",
          "type": "<string>",
          "domain": "<string>",
          "website": "<string>",
          "location": {
            "geo": "<string>",
            "name": "<string>",
            "metro": "<string>",
            "region": "<string>",
            "country": "<string>",
            "locality": "<string>",
            "continent": "<string>",
            "last_seen": "<string>",
            "first_seen": "<string>",
            "num_sources": 123,
            "postal_code": "<string>",
            "address_line_2": "<string>",
            "street_address": "<string>"
          },
          "linkedin_id": "<string>",
          "twitter_url": "<string>",
          "facebook_url": "<string>",
          "linkedin_url": "<string>"
        },
        "degrees": [
          "<string>"
        ],
        "summary": "<string>",
        "end_date": "<string>",
        "start_date": "<string>"
      }
    ],
    "full_name": "<string>",
    "interests": [
      "<string>"
    ],
    "job_title": "<string>",
    "languages": [
      {
        "name": "<string>",
        "proficiency": 123
      }
    ],
    "last_name": "<string>",
    "last_seen": "<string>",
    "birth_date": true,
    "birth_year": true,
    "experience": [
      {
        "title": {
          "raw": [
            "<string>"
          ],
          "name": "<string>",
          "role": "<string>",
          "class": "<string>",
          "levels": [
            "<string>"
          ],
          "sub_role": "<string>"
        },
        "company": {
          "id": "<string>",
          "raw": [
            "<string>"
          ],
          "name": "<string>",
          "size": "<string>",
          "type": "<string>",
          "ticker": "<string>",
          "founded": 123,
          "website": "<string>",
          "industry": "<string>",
          "location": {
            "geo": "<string>",
            "name": "<string>",
            "metro": "<string>",
            "region": "<string>",
            "country": "<string>",
            "locality": "<string>",
            "continent": "<string>",
            "last_seen": "<string>",
            "first_seen": "<string>",
            "num_sources": 123,
            "postal_code": "<string>",
            "address_line_2": "<string>",
            "street_address": "<string>"
          },
          "fuzzy_match": true,
          "industry_v2": "<string>",
          "linkedin_id": "<string>",
          "twitter_url": "<string>",
          "facebook_url": "<string>",
          "linkedin_url": "<string>"
        },
        "summary": "<string>",
        "end_date": "<string>",
        "last_seen": "<string>",
        "first_seen": "<string>",
        "is_primary": true,
        "start_date": "<string>",
        "num_sources": 123,
        "location_names": [
          "<string>"
        ]
      }
    ],
    "first_name": "<string>",
    "first_seen": "<string>",
    "github_url": "<string>",
    "work_email": true,
    "facebook_id": "<string>",
    "job_history": [
      "<unknown>"
    ],
    "job_summary": "<string>",
    "linkedin_id": "<string>",
    "middle_name": "<string>",
    "num_records": 123,
    "num_sources": 123,
    "twitter_url": "<string>",
    "facebook_url": "<string>",
    "last_initial": "<string>",
    "linkedin_url": "<string>",
    "location_geo": true,
    "mobile_phone": true,
    "name_aliases": [
      "<string>"
    ],
    "first_initial": "<string>",
    "job_onet_code": "<string>",
    "location_name": true,
    "phone_numbers": true,
    "certifications": [
      {
        "name": "<string>",
        "end_date": "<string>",
        "start_date": "<string>",
        "organization": "<string>"
      }
    ],
    "job_company_id": "<string>",
    "job_start_date": "<string>",
    "job_title_role": "<string>",
    "location_metro": true,
    "location_names": true,
    "middle_initial": "<string>",
    "dataset_version": "<string>",
    "github_username": "<string>",
    "inferred_salary": "<string>",
    "job_title_class": "<string>",
    "location_region": true,
    "personal_emails": true,
    "possible_emails": [
      "<unknown>"
    ],
    "possible_phones": [
      "<unknown>"
    ],
    "facebook_friends": 123,
    "job_company_name": "<string>",
    "job_company_size": "<string>",
    "job_company_type": "<string>",
    "job_last_changed": "<string>",
    "job_title_levels": [
      "<string>"
    ],
    "location_country": "<string>",
    "street_addresses": true,
    "twitter_username": "<string>",
    "facebook_username": "<string>",
    "job_last_verified": "<string>",
    "linkedin_username": "<string>",
    "location_locality": true,
    "possible_profiles": [
      "<unknown>"
    ],
    "job_company_ticker": "<string>",
    "job_title_sub_role": "<string>",
    "location_continent": "<string>",
    "job_company_founded": 123,
    "job_company_website": "<string>",
    "job_company_industry": "<string>",
    "job_onet_major_group": "<string>",
    "job_onet_minor_group": "<string>",
    "linkedin_connections": 123,
    "location_postal_code": true,
    "possible_birth_dates": [
      "<string>"
    ],
    "location_last_updated": "<string>",
    "job_company_industry_v2": "<string>",
    "job_company_linkedin_id": "<string>",
    "job_company_twitter_url": "<string>",
    "location_address_line_2": "<string>",
    "location_street_address": true,
    "possible_location_names": [
      "<string>"
    ],
    "job_company_facebook_url": "<string>",
    "job_company_linkedin_url": "<string>",
    "job_company_location_geo": "<string>",
    "inferred_years_experience": 123,
    "job_company_location_name": "<string>",
    "job_onet_broad_occupation": "<string>",
    "possible_street_addresses": [
      "<unknown>"
    ],
    "job_company_employee_count": 123,
    "job_company_location_metro": "<string>",
    "recommended_personal_email": true,
    "job_company_location_region": "<string>",
    "job_company_inferred_revenue": "<string>",
    "job_company_location_country": "<string>",
    "job_onet_specific_occupation": "<string>",
    "job_company_location_locality": "<string>",
    "job_company_location_continent": "<string>",
    "job_company_location_postal_code": "<string>",
    "job_company_total_funding_raised": 123,
    "job_company_location_address_line_2": "<string>",
    "job_company_location_street_address": "<string>",
    "job_onet_specific_occupation_detail": "<string>",
    "job_company_12mo_employee_growth_rate": 123
  },
  "status": 123,
  "likelihood": 123,
  "matched": [
    "<string>"
  ]
}

POST

https://api.aisa.one

apis

people-data-labs

enrich-person-data

Reference example

# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
  --url https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "email": "john.doe@example.com"
}'

curl --request POST \
  --url https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "email": "john.doe@example.com"
}
'

import requests

url = "https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data"

payload = { "email": "john.doe@example.com" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({email: 'john.doe@example.com'})
};

fetch('https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'email' => 'john.doe@example.com'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data"

	payload := strings.NewReader("{\n  \"email\": \"john.doe@example.com\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"email\": \"john.doe@example.com\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"email\": \"john.doe@example.com\"\n}"

response = http.request(request)
puts response.read_body

{
  "data": {
    "id": "<string>",
    "sex": "<string>",
    "emails": true,
    "phones": [
      {
        "number": "<string>",
        "last_seen": "<string>",
        "first_seen": "<string>",
        "num_sources": 123
      }
    ],
    "skills": [
      "<string>"
    ],
    "regions": true,
    "summary": "<string>",
    "headline": "<string>",
    "industry": "<string>",
    "profiles": [
      {
        "id": "<string>",
        "url": "<string>",
        "network": "<string>",
        "username": "<string>",
        "last_seen": "<string>",
        "first_seen": "<string>",
        "num_sources": 123
      }
    ],
    "countries": [
      "<string>"
    ],
    "education": [
      {
        "gpa": 123,
        "raw": [
          "<string>"
        ],
        "majors": [
          "<string>"
        ],
        "minors": [
          "<string>"
        ],
        "school": {
          "id": "<string>",
          "raw": [
            "<string>"
          ],
          "name": "<string>",
          "type": "<string>",
          "domain": "<string>",
          "website": "<string>",
          "location": {
            "geo": "<string>",
            "name": "<string>",
            "metro": "<string>",
            "region": "<string>",
            "country": "<string>",
            "locality": "<string>",
            "continent": "<string>",
            "last_seen": "<string>",
            "first_seen": "<string>",
            "num_sources": 123,
            "postal_code": "<string>",
            "address_line_2": "<string>",
            "street_address": "<string>"
          },
          "linkedin_id": "<string>",
          "twitter_url": "<string>",
          "facebook_url": "<string>",
          "linkedin_url": "<string>"
        },
        "degrees": [
          "<string>"
        ],
        "summary": "<string>",
        "end_date": "<string>",
        "start_date": "<string>"
      }
    ],
    "full_name": "<string>",
    "interests": [
      "<string>"
    ],
    "job_title": "<string>",
    "languages": [
      {
        "name": "<string>",
        "proficiency": 123
      }
    ],
    "last_name": "<string>",
    "last_seen": "<string>",
    "birth_date": true,
    "birth_year": true,
    "experience": [
      {
        "title": {
          "raw": [
            "<string>"
          ],
          "name": "<string>",
          "role": "<string>",
          "class": "<string>",
          "levels": [
            "<string>"
          ],
          "sub_role": "<string>"
        },
        "company": {
          "id": "<string>",
          "raw": [
            "<string>"
          ],
          "name": "<string>",
          "size": "<string>",
          "type": "<string>",
          "ticker": "<string>",
          "founded": 123,
          "website": "<string>",
          "industry": "<string>",
          "location": {
            "geo": "<string>",
            "name": "<string>",
            "metro": "<string>",
            "region": "<string>",
            "country": "<string>",
            "locality": "<string>",
            "continent": "<string>",
            "last_seen": "<string>",
            "first_seen": "<string>",
            "num_sources": 123,
            "postal_code": "<string>",
            "address_line_2": "<string>",
            "street_address": "<string>"
          },
          "fuzzy_match": true,
          "industry_v2": "<string>",
          "linkedin_id": "<string>",
          "twitter_url": "<string>",
          "facebook_url": "<string>",
          "linkedin_url": "<string>"
        },
        "summary": "<string>",
        "end_date": "<string>",
        "last_seen": "<string>",
        "first_seen": "<string>",
        "is_primary": true,
        "start_date": "<string>",
        "num_sources": 123,
        "location_names": [
          "<string>"
        ]
      }
    ],
    "first_name": "<string>",
    "first_seen": "<string>",
    "github_url": "<string>",
    "work_email": true,
    "facebook_id": "<string>",
    "job_history": [
      "<unknown>"
    ],
    "job_summary": "<string>",
    "linkedin_id": "<string>",
    "middle_name": "<string>",
    "num_records": 123,
    "num_sources": 123,
    "twitter_url": "<string>",
    "facebook_url": "<string>",
    "last_initial": "<string>",
    "linkedin_url": "<string>",
    "location_geo": true,
    "mobile_phone": true,
    "name_aliases": [
      "<string>"
    ],
    "first_initial": "<string>",
    "job_onet_code": "<string>",
    "location_name": true,
    "phone_numbers": true,
    "certifications": [
      {
        "name": "<string>",
        "end_date": "<string>",
        "start_date": "<string>",
        "organization": "<string>"
      }
    ],
    "job_company_id": "<string>",
    "job_start_date": "<string>",
    "job_title_role": "<string>",
    "location_metro": true,
    "location_names": true,
    "middle_initial": "<string>",
    "dataset_version": "<string>",
    "github_username": "<string>",
    "inferred_salary": "<string>",
    "job_title_class": "<string>",
    "location_region": true,
    "personal_emails": true,
    "possible_emails": [
      "<unknown>"
    ],
    "possible_phones": [
      "<unknown>"
    ],
    "facebook_friends": 123,
    "job_company_name": "<string>",
    "job_company_size": "<string>",
    "job_company_type": "<string>",
    "job_last_changed": "<string>",
    "job_title_levels": [
      "<string>"
    ],
    "location_country": "<string>",
    "street_addresses": true,
    "twitter_username": "<string>",
    "facebook_username": "<string>",
    "job_last_verified": "<string>",
    "linkedin_username": "<string>",
    "location_locality": true,
    "possible_profiles": [
      "<unknown>"
    ],
    "job_company_ticker": "<string>",
    "job_title_sub_role": "<string>",
    "location_continent": "<string>",
    "job_company_founded": 123,
    "job_company_website": "<string>",
    "job_company_industry": "<string>",
    "job_onet_major_group": "<string>",
    "job_onet_minor_group": "<string>",
    "linkedin_connections": 123,
    "location_postal_code": true,
    "possible_birth_dates": [
      "<string>"
    ],
    "location_last_updated": "<string>",
    "job_company_industry_v2": "<string>",
    "job_company_linkedin_id": "<string>",
    "job_company_twitter_url": "<string>",
    "location_address_line_2": "<string>",
    "location_street_address": true,
    "possible_location_names": [
      "<string>"
    ],
    "job_company_facebook_url": "<string>",
    "job_company_linkedin_url": "<string>",
    "job_company_location_geo": "<string>",
    "inferred_years_experience": 123,
    "job_company_location_name": "<string>",
    "job_onet_broad_occupation": "<string>",
    "possible_street_addresses": [
      "<unknown>"
    ],
    "job_company_employee_count": 123,
    "job_company_location_metro": "<string>",
    "recommended_personal_email": true,
    "job_company_location_region": "<string>",
    "job_company_inferred_revenue": "<string>",
    "job_company_location_country": "<string>",
    "job_onet_specific_occupation": "<string>",
    "job_company_location_locality": "<string>",
    "job_company_location_continent": "<string>",
    "job_company_location_postal_code": "<string>",
    "job_company_total_funding_raised": 123,
    "job_company_location_address_line_2": "<string>",
    "job_company_location_street_address": "<string>",
    "job_onet_specific_occupation_detail": "<string>",
    "job_company_12mo_employee_growth_rate": 123
  },
  "status": 123,
  "likelihood": 123,
  "matched": [
    "<string>"
  ]
}

Request contract

Method and path: POST /apis/v1/people-data-labs/enrich-person-data
Availability: enabled
Request URL template: https://api.aisa.one/apis/v1/people-data-labs/enrich-person-data
Runtime facts: d9aafd76ae02b9bcd98e168c52eb69aba6e12890a1eed8da421910f394e8200a

Complete OpenAPI definition Effective request and pricing declaration (including authentication and referenced schemas):

{
  "operationId": "people-data-labs.enrich-person-data",
  "method": "POST",
  "path": "/apis/v1/people-data-labs/enrich-person-data",
  "servers": [
    {
      "url": "https://api.aisa.one"
    }
  ],
  "parameters": [],
  "security": [
    {
      "bearerAuth": []
    }
  ],
  "requestBody": {
    "required": true,
    "content": {
      "application/json": {
        "schema": {
          "type": "object",
          "properties": {
            "lid": {
              "type": "string",
              "examples": [
                "123456789"
              ],
              "description": "LinkedIn ID."
            },
            "name": {
              "type": "string",
              "examples": [
                "John Michael Doe"
              ],
              "description": "Full name."
            },
            "email": {
              "type": "string",
              "description": "Email address.",
              "examples": [
                "john.doe@example.com"
              ]
            },
            "phone": {
              "type": "string",
              "examples": [
                "+14155552671"
              ],
              "description": "Phone number; E.164 format recommended."
            },
            "pdl_id": {
              "type": "string",
              "examples": [
                "qEnxS5T1G2YvasA1x24qoA_0000"
              ],
              "description": "People Data Labs unique record ID."
            },
            "pretty": {
              "type": "boolean",
              "default": true,
              "description": "Format JSON response with indentation for readability."
            },
            "region": {
              "type": "string",
              "examples": [
                "CA"
              ],
              "description": "State, province, or region of residence."
            },
            "school": {
              "type": "string",
              "examples": [
                "Stanford University"
              ],
              "description": "School name attended."
            },
            "company": {
              "type": "string",
              "examples": [
                "Acme Corporation"
              ],
              "description": "Company name where person has worked."
            },
            "country": {
              "type": "string",
              "examples": [
                "US",
                "United States"
              ],
              "description": "Country of residence (ISO 3166-1 alpha-2 code or full name)."
            },
            "profile": {
              "type": "string",
              "examples": [
                "https://www.linkedin.com/in/john-doe",
                "https://www.facebook.com/jane.doe"
              ],
              "description": "Social profile URL (e.g., LinkedIn, Facebook)."
            },
            "locality": {
              "type": "string",
              "examples": [
                "San Francisco"
              ],
              "description": "City or locality of residence."
            },
            "location": {
              "type": "string",
              "examples": [
                "San Francisco, CA, USA"
              ],
              "description": "General location (e.g., city, state, country)."
            },
            "required": {
              "type": "string",
              "examples": [
                "emails AND phone_numbers",
                "education AND (emails OR phone_numbers)",
                "job_title AND job_company_name",
                "experience AND work_email"
              ],
              "description": "Boolean expression of top-level fields required in enriched profile for match. Use AND/OR operators and parentheses for logic (e.g., 'emails AND phone_numbers', 'education AND (emails OR phone_numbers)'). Valid fields: emails, phone_numbers, experience, education, job_title, job_company_name, full_name, location_country, work_email, personal_emails, mobile_phone, linkedin_url, profiles, skills, etc."
            },
            "last_name": {
              "type": "string",
              "examples": [
                "Doe"
              ],
              "description": "Last name."
            },
            "birth_date": {
              "type": "string",
              "examples": [
                "1990-01-15"
              ],
              "description": "Birth date (YYYY-MM-DD format)."
            },
            "email_hash": {
              "type": "string",
              "examples": [
                "d41d8cd98f00b204e9800998ecf8427e",
                "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
              ],
              "description": "SHA-256 or MD5 hash of an email, for matching without exposing the raw email."
            },
            "first_name": {
              "type": "string",
              "examples": [
                "John"
              ],
              "description": "First name."
            },
            "postal_code": {
              "type": "string",
              "examples": [
                "94107"
              ],
              "description": "Postal or ZIP code of residence."
            },
            "data_include": {
              "type": "string",
              "examples": [
                "emails,phones,profiles",
                "jobs,education"
              ],
              "description": "Comma-separated data fields to include in response (e.g., 'emails,phones'). Refer to People Data Labs docs for all fields."
            },
            "min_likelihood": {
              "type": "integer",
              "default": 2,
              "maximum": 10,
              "minimum": 0,
              "examples": [
                0,
                5,
                10
              ],
              "description": "Minimum confidence score (0-10) for a match to be returned; higher is stricter."
            },
            "street_address": {
              "type": "string",
              "examples": [
                "123 Main St"
              ],
              "description": "Street address."
            },
            "include_if_matched": {
              "type": "boolean",
              "default": false,
              "description": "Include input parameters used for matching in the response if true."
            }
          },
          "required": [
            "email"
          ]
        }
      }
    }
  },
  "x-aisa-status": "enabled",
  "x-aisa-pricing": {
    "cost_contract": "response_units",
    "customer_multiplier": 1.0,
    "customer_pricing": "provider_cost_multiplier",
    "default_request_estimate_usd": 0.2803,
    "estimate_source": "profile_seed",
    "evidence_source": "response_body",
    "maximum_units": 10000000,
    "unit": "provider_credit",
    "unit_rate_usd": 1e-06
  },
  "components": {
    "securitySchemes": {
      "bearerAuth": {
        "scheme": "bearer",
        "type": "http"
      }
    }
  }
}

Cost and request rules

Usage-based billing; Default request estimate: $0.2803 USD (not a fixed price). Declared unit rate: $0.000001 USD per provider_credit. Account-specific pricing and final settlement may differ. Published reference values are not an account-specific quote or a settled charge. For endpoints supporting X-AISA-Cost-Mode: quote, obtain a free quote for your exact request before execution; reconcile the settled cost with response metadata and Usage Logs. USD amounts use 1,000,000 integer micro-USD per dollar.

Default request reference estimate (USD): 0.2803
Declared unit rate (USD): 1e-06
Billing unit: provider_credit
Cost contract: response_units
Published reference multiplier: 1.0
Declared maximum count/units: 10000000
Settlement evidence source: response_body

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

string

required

Email address.

Example:

"john.doe@example.com"

lid

string

LinkedIn ID.

Example:

"123456789"

name

string

Full name.

Example:

"John Michael Doe"

phone

string

Phone number; E.164 format recommended.

Example:

"+14155552671"

pdl_id

string

People Data Labs unique record ID.

Example:

"qEnxS5T1G2YvasA1x24qoA_0000"

pretty

boolean

default:true

Format JSON response with indentation for readability.

region

string

State, province, or region of residence.

Example:

"CA"

school

string

School name attended.

Example:

"Stanford University"

company

string

Company name where person has worked.

Example:

"Acme Corporation"

country

string

Country of residence (ISO 3166-1 alpha-2 code or full name).

Examples:

"US"

"United States"

profile

string

Social profile URL (e.g., LinkedIn, Facebook).

Examples:

"https://www.linkedin.com/in/john-doe"

"https://www.facebook.com/jane.doe"

locality

string

City or locality of residence.

Example:

"San Francisco"

location

string

General location (e.g., city, state, country).

Example:

"San Francisco, CA, USA"

required

string

Boolean expression of top-level fields required in enriched profile for match. Use AND/OR operators and parentheses for logic (e.g., 'emails AND phone_numbers', 'education AND (emails OR phone_numbers)'). Valid fields: emails, phone_numbers, experience, education, job_title, job_company_name, full_name, location_country, work_email, personal_emails, mobile_phone, linkedin_url, profiles, skills, etc.

Examples:

"emails AND phone_numbers"

"education AND (emails OR phone_numbers)"

"job_title AND job_company_name"

"experience AND work_email"

last_name

string

Last name.

Example:

"Doe"

birth_date

string

Birth date (YYYY-MM-DD format).

Example:

"1990-01-15"

email_hash

string

SHA-256 or MD5 hash of an email, for matching without exposing the raw email.

Examples:

"d41d8cd98f00b204e9800998ecf8427e"

"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"

first_name

string

First name.

Example:

"John"

postal_code

string

Postal or ZIP code of residence.

Example:

"94107"

data_include

string

Comma-separated data fields to include in response (e.g., 'emails,phones'). Refer to People Data Labs docs for all fields.

Examples:

"emails,phones,profiles"

"jobs,education"

min_likelihood

integer

default:2

Minimum confidence score (0-10) for a match to be returned; higher is stricter.

Required range: 0 <= x <= 10

Examples:

0

5

10

street_address

string

Street address.

Example:

"123 Main St"

include_if_matched

boolean

default:false

Include input parameters used for matching in the response if true.

Response

Tool result data

data

object

required

Show child attributes

status

integer

required

likelihood

integer

required

matched

string[]