Database search

Search contacts

Filtered search over the contact index. Each request returns up to 5,000 records (default 1000; a larger limit is clamped to 5,000 and the response echoes the effective limit). Paginate with offset until has_more is false to walk up to 50,000 matches per search, or use POST /api/v1/contacts/search/export for a full CSV on S3. Searches matching more than 50,000 contacts can't be paged reliably, result order isn't stable above the cap, so pages re-serve and skip rows. Size the query with POST /api/v1/contacts/search/count first and narrow with filters until it's under 50,000. Pass filters in a nested filters object or as top-level keys, both work. All filter fields are combined with AND logic. Optional limit (default 1000, max 5,000), offset (default 0), and max_per_company (1-50) sit at the top level. Responses include has_more and next_offset for pagination. total_available in the response is a pagination hint bounded by the per-request window (it carries total_available_is_minimum: true when more rows match), for the true match count use POST /api/v1/contacts/search/count.

POST/api/v1/contacts/search

Seniority aliases: C-Suite, C-Level, and Executive map to C-Team; Vice President, SVP, and EVP map to VP. See GET /filter-values for allowed enum values.

Authorization

Header	Type	Required	Description
`X-API-Key`	string	required	Your API key, for example `lb_live_YOUR_API_KEY`. You can send the same key as `Authorization: Bearer` instead.

Body parameters

Company targeting

Name	Type	Required	Description
`domains`	string[]	optional	Company website domains (e.g. `acme.com`, `globex.com`).
`company_name`	string	optional	Company name substring match on `org_company_name`.
`email_domain`	string	optional	Email domain filter (e.g. `gmail.com`). Comma-separated values OK.
`domain_list_id`	string	optional	Saved domain list id (`fv_...` or `@fvid:...`).
`company_linkedin_urls`	string[]	optional	company profile URLs (e.g. `https://www.linkedin.com/company/acme/`). Exact `/company/{slug}` match on the company and current-employer professional profile URLs; several URLs are OR'd. Non-company professional profile URLs return `400`.

Role

Name	Type	Required	Description
`job_titles`	string[]	optional	Job title keywords, whole-word match on title tokens (`"CTO"` matches "CTO & Co-Executive", not "Director"). Acronyms and spelled-out forms don't cross-match, include both (`["CTO", "Chief Technology Officer"]`).
`seniority`	string[]	optional	Job level: `C-Team`, `VP`, `Director`, `Manager`, `Staff`, `Other`. Aliases normalized (`C-Suite` to `C-Team`).
`job_functions`	string[]	optional	Department: `Sales & Business Development`, `Engineering`, `Information Technology`, etc.
`personas`	string[]	optional	Buyer personas (e.g. `CEO / Executive`, `CTO`, `DevOps`).

New in role

Name	Type	Required	Default	Description
`job_start_date_min`	string	optional		Earliest current-role start date (`YYYY-MM-DD`).
`job_start_date_max`	string	optional		Latest current-role start date (`YYYY-MM-DD`).

Company firmographics

Name	Type	Required	Description
`industries`	string[]	optional	professional profile industries (441 categories).
`company_size`	string[]	optional	Exact professional profile size-band labels (e.g. `["51 to 200"]`). Use `GET /filter-values?field=company_size` for the 8 bands. Prefer this when you have band names; use `company_size_min`/`company_size_max` for numeric bounds.
`company_size_min`	number	optional	Minimum employees, server maps to employee count ranges.
`company_size_max`	number	optional	Maximum employees, server maps to employee count ranges.
`revenue`	string[]	optional	Revenue ranges: `<$1M`, `$1M to <$10M`, `$10M to <$50M`, `$50M to <$100M`, `$100M to <$1B`, `$1B+`.
`headquarters_countries`	string[]	optional	Company HQ country (`headquarters_country_name`). Use `GET /filter-values?field=headquarters_countries` for valid values.
`company_description`	string	optional	Substring search on company about text (`org_about_us`).
`entity_types`	string[]	optional	Legal entity type (`Public Company`, `Privately Held`, `Non Profit`, ...). Use `field=entity_types` for values.
`technologies`	string[]	optional	Technologies/tools the company uses (e.g. `Salesforce`, `HubSpot`). Matches across all technographic fields.
`has_mobile_app`	boolean	optional	Only companies that have (`true`) / do not have (`false`) a mobile app.
`has_web_app`	boolean	optional	Only companies that have (`true`) / do not have (`false`) a web application.

Industry codes

Name	Type	Required	Description
`naics_codes`	string[]	optional	NAICS code prefix match. `["5415"]` catches every 5415xx code.
`naics_descriptions`	string[]	optional	NAICS category descriptions, substring match.
`sic_codes`	string[]	optional	SIC codes.
`sic_descriptions`	string[]	optional	SIC category descriptions, substring match.
`uk_industry_codes`	string[]	optional	UK SIC codes.
`uk_industry_descriptions`	string[]	optional	UK SIC descriptions, substring match.
`crunchbase_categories`	string[]	optional	Crunchbase categories, substring match.

Company numeric ranges

Name	Type	Required	Description
`employees_min`	number	optional	Minimum employees. Matches whole professional profile headcount bands that overlap your range, not exact counts, e.g. `employees_max: 9` returns the entire 1-10 band.
`employees_max`	number	optional	Maximum employees. Band-overlap matching, same as `employees_min`.
`revenue_min`	number	optional	Minimum revenue in USD.
`revenue_max`	number	optional	Maximum revenue in USD.
`followers_min`	number	optional	Minimum professional profile followers.
`followers_max`	number	optional	Maximum professional profile followers.
`founded_year_min`	number	optional	Earliest founding year.
`founded_year_max`	number	optional	Latest founding year.
`total_funding_min`	number	optional	Minimum total funding raised (USD).
`total_funding_max`	number	optional	Maximum total funding raised (USD).
`monthly_traffic_min`	number	optional	Minimum total monthly web traffic.
`monthly_traffic_max`	number	optional	Maximum total monthly web traffic.

Company signals

Name	Type	Required	Description
`employee_growth_rate_min`	number	optional	Minimum professional profile employee growth rate in percent (`5` = 5%).
`employee_growth_rate_max`	number	optional	Maximum professional profile employee growth rate in percent.
`monthly_google_adspend_min`	number	optional	Minimum estimated monthly Google Ads spend (USD).
`monthly_google_adspend_max`	number	optional	Maximum estimated monthly Google Ads spend (USD).
`employee_profiles_on_linkedin_min`	number	optional	Minimum exact professional profile employee-profile headcount, a hard cutoff, unlike the band-overlap behaviour of `employees_min`/`employees_max`.
`employee_profiles_on_linkedin_max`	number	optional	Maximum exact professional profile employee-profile headcount (hard cutoff).
`valid_email_count_min`	number	optional	Minimum count of verified emails held at the company, a proxy for how reachable the account is.
`valid_email_count_max`	number	optional	Maximum count of verified emails held at the company.
`specialties`	string	optional	Keyword search over company professional profile specialties. Comma-separate keywords to OR them.
`company_headline`	string	optional	Keyword search over the company professional profile headline/tagline. Comma-separate to OR.

Person location

Name	Type	Required	Description
`countries`	string[]	optional	Person's country (`person_country_name`).
`regions`	string[]	optional	Macro-regions: `NORAM`, `EMEA`, `APAC`, `LATAM`.
`continents`	string[]	optional	`North America`, `Europe`, `Asia`, `South America`, `Africa`, `Oceania`, `Antarctica`.
`cities`	string[]	optional	Person's city, substring match.
`states`	string[]	optional	Person's state/province, substring match.

Job location (office, not home address)

Name	Type	Required	Description
`job_location_country`	string[]	optional	Country where the company/office is located.
`job_location_state`	string[]	optional	State/province where the office is located, substring match.
`job_location_city`	string[]	optional	City where the office is located, substring match.

Company office location

Name	Type	Required	Description
`office_countries`	string[]	optional	Countries where the company has offices. Use `GET /filter-values?field=office_countries` for values, the fullest canonical country list.
`office_states`	string[]	optional	Office state/province, substring match.
`office_cities`	string[]	optional	Office city, substring match.

Person identity

Name	Type	Required	Description
`first_name`	string	optional	First name, substring match.
`last_name`	string	optional	Last name, substring match.
`email_address`	string	optional	Specific email address, exact match.
`linkedin_url`	string	optional	professional profile URL, substring match.
`person_description`	string	optional	Substring search on person bio (`about_me`).
`skills`	string	optional	Substring search on the contact's skills.

Person background

Name	Type	Required	Description
`education`	string	optional	Keyword search over education history, schools, degrees, fields of study.
`languages`	string	optional	Keyword search over listed languages.
`certifications`	string	optional	Keyword search over certifications.
`linkedin_headline`	string	optional	Keyword search over the person's professional profile headline. Comma-separate keywords to OR them.
`job_description`	string	optional	Keyword search over the current role description. Comma-separate to OR.

Email quality

Name	Type	Required	Default	Description
`email_status`	string[]	optional		Verification status enum: `VALID`, `CATCH_ALL`, `INVALID`. Use `["VALID"]` for deliverable emails. Do not send `"verified"`.
`require_email`	boolean	optional		Only return contacts with a non-empty `email_address`.

Presence

Name	Type	Required	Default	Description
`require_phone`	boolean	optional	`false`	Only return contacts with a phone number (`cellphone`). Default `false`.

Excludes

Name	Type	Required	Description
`exclude_domains`	string[]	optional	Exclude these company domains.
`exclude_countries`	string[]	optional	Exclude these person countries.
`exclude_headquarters_countries`	string[]	optional	Exclude these company HQ countries.
`exclude_industries`	string[]	optional	Exclude these industries.
`exclude_job_titles`	string[]	optional	Exclude contacts whose title matches these keywords, whole-word token match, same semantics as `job_titles`.

Search options

Name	Type	Required	Default	Description
`limit`	integer	optional	`1000`	Max rows this page (default 1000, max 5,000, larger values are clamped and the response echoes the effective `limit`).
`offset`	integer	optional	`0`	Skip rows for pagination (default 0). Use `next_offset` from the prior response.
`max_per_company`	integer	optional		Cap contacts per company (1-50). Use for diverse results across many domains.
`columns`	string[]	optional		Output columns by display label or internal name. When omitted, a default set plus any filtered columns is returned. REST JSON keeps raw column names; MCP responses and CSV exports use display labels.
`where_sql`	string	optional		Advanced: a raw SQL `WHERE` predicate over the catalog's internal column names, AND-combined with the filters above. Reaches fields that have no dedicated filter, e.g. `"MONTHLY_GOOGLE_ADSPEND_ORG > 0"` matches companies actively running Google Ads. Also accepted by `search/count` and `search/export`. Invalid column names or syntax return `400`. Maximum 4,000 characters, longer predicates return `400`; split wide title lists across requests or move them into `job_titles`. Known limitation: a string literal containing the bare word `system` (e.g. `'%system%'`) is currently rejected by the SQL-keyword guard with a "subqueries, joins, or DDL" message, use a longer substring such as `'%system administrator%'` or the `job_titles` filter instead.

Filters and current coverage

full: at least 90%. partial: at least 0.5%. unmask_only: after unmask. empty: below 0.5%.

Filter or column	Class	Fill rate
First Name `first_name` first_name	full	99.24%
Last Name `last_name` last_name	full	97.45%
Middle Name `middle_name` where_sql	partial	13.51%
Nickname `nickname_name` where_sql	empty	0.00%
Suffix `suffix_name` where_sql	empty	0.25%
Prefix `title_name` where_sql	partial	0.65%
Contact Full Name `person_full_name` where_sql	full	99.40%
Work Email `email_address` email_address, require_email	unmask_only	0.00%
Work Email Domain `email_domain` email_domain	empty	0.00%
Email Verification Status `email_status` email_status	empty	0.00%
Email Last Verification Date `email_last_verified_at` where_sql	empty	0.00%
Cellphone `cellphone` require_phone	unmask_only	0.00%
Direct Office Phone `direct_phone` where_sql	unmask_only	0.00%
Contact City `person_city` cities	partial	83.32%
Contact State `state_name` states	partial	28.29%
Contact State Code `state_code` where_sql	partial	28.31%
Contact Country `person_country_name` countries, exclude_countries	full	98.81%
Contact Country Code `person_country_code` where_sql	full	98.81%
Contact Global Region `person_country_region` regions	full	98.79%
Contact Continent `person_continent` continents	full	98.79%
Current Job Title `job_title` job_titles, exclude_job_titles	full	97.39%
Department / Function `job_function` job_functions	full	100.00%
Seniority Level `job_level` seniority	partial	78.14%
Current Role Description `job_description` job_description	partial	18.69%
Number of Past Jobs `job_count` where_sql	full	100.00%
Current Role Start Date `job_start_date` job_start_date_min, job_start_date_max	partial	76.82%
Most Recent Job End Date `job_end_date` where_sql	empty	0.00%
Currently in Role `job_is_current` where_sql	full	100.00%
Employer Professional profile URL `job_org_linkedin_url` company_linkedin_urls	empty	0.00%
Current Employer Name `person_company_name` where_sql	partial	76.36%
Work City `job_location_city` job_location_city	partial	31.81%
Work State `job_location_state` job_location_state	partial	8.83%
Work Country `job_location_country` job_location_country	partial	38.05%
Work Country Code `job_location_country_code` where_sql	partial	38.05%
Work Global Region `job_location_country_region` where_sql	partial	38.05%
Work Continent `job_location_continent` where_sql	partial	38.05%
Contact Professional profile URL `person_linkedin_url` linkedin_url	unmask_only	0.00%
Profile Headline `linkedin_headline` linkedin_headline	full	93.71%
Professional profile Connection Count `linkedin_connections_count` where_sql	empty	0.00%
Contact Professional profile Industry `linkedin_industry` where_sql	partial	1.99%
About Me `about_me` person_description	partial	34.20%
Education `education` education	partial	54.03%
Skills `skills` skills	partial	17.55%
Certifications `certifications` certifications	partial	13.28%
Patents `patents` where_sql	empty	0.23%
Publications `publications` where_sql	partial	2.45%
Languages `languages` languages	partial	16.33%
Interests `interests` where_sql	empty	0.00%
Personal Websites `websites` where_sql	partial	3.16%
Profile Picture URL `logo_url` where_sql	empty	0.00%
Persona `persona` personas	partial	15.99%
Contact Last Updated `person_updated_at` where_sql	empty	0.00%
Company Name `org_company_name` company_name	partial	76.36%
Company Domain `org_domain` domains, exclude_domains	partial	67.25%
Company Website `org_website` where_sql	partial	70.92%
Company About (Professional profile) `org_about_us` company_description	partial	69.78%
Company Specialties (Professional profile) `org_specialties` specialties	partial	48.32%
Crunchbase Industry Categories `category_crunchbase` crunchbase_categories	empty	0.00%
G2 Software Categories `category_g2` where_sql	empty	0.00%
Legal Entity Type `company_entity_type` entity_types	partial	70.33%
Legal Type `company_legal_type` where_sql	partial	10.95%
Company Headline (Professional profile) `org_company_headline` company_headline	empty	0.00%
Logo URL `org_logo_url` where_sql	empty	0.00%
Year Founded `org_founded` founded_year_min, founded_year_max	partial	45.99%
Company Phone `org_phone` where_sql	partial	24.47%
Company Professional profile URL `org_linkedin_url` company_linkedin_urls	empty	0.00%
Professional profile URL Claimed? `org_is_linkedin_url_claimed` where_sql	partial	76.36%
Professional profile Follower Count `org_linkedin_followers` followers_min, followers_max	partial	75.86%
Employee Count Range `employee_count_range` company_size	partial	76.36%
Min Employee Count `employee_count_min` company_size_max, employees_max	partial	76.36%
Max Employee Count `employee_count_max` company_size_min, employees_min	partial	56.66%
Professional profile Employee Profile Count `org_employee_profiles_on_linkedin` employee_profiles_on_linkedin_min, employee_profiles_on_linkedin_max	partial	76.36%
Revenue Range `org_revenue_range` revenue	partial	35.47%
Min Revenue `revenue_min` revenue_max	partial	32.01%
Max Revenue `revenue_max` revenue_min	partial	23.88%
Website Active? `is_website_working` where_sql	partial	69.76%
Company Last Updated `org_updated_at` where_sql	empty	0.00%
Has Mobile App `has_mobile_app_org` has_mobile_app	unmask_only	0.00%
Has Web App `has_web_app_org` has_web_app	unmask_only	0.00%
Has a CISO `has_ciso_org` where_sql	unmask_only	0.00%
Has a CIO `has_cio_org` where_sql	unmask_only	0.00%
HQ City `headquarters_city` where_sql	partial	63.80%
HQ State `headquarters_state_name` where_sql	partial	48.31%
HQ Country `headquarters_country_name` headquarters_countries, exclude_headquarters_countries	partial	70.37%
HQ Country Code `headquarters_country_code` where_sql	partial	70.37%
HQ Global Region `headquarters_country_region` where_sql	partial	70.37%
HQ Continent `headquarters_continent` where_sql	partial	70.37%
HQ Postal Code `headquarters_postcode` where_sql	partial	56.39%
HQ Street Address `headquarters_street` where_sql	partial	58.52%
Company City `location_city` office_cities	partial	63.80%
Company State `location_state_name` office_states	partial	48.31%
Company State Code `location_state_code` where_sql	partial	24.46%
Company Country `location_country_name` office_countries	partial	70.37%
Company Country Code `location_country_code` where_sql	partial	70.37%
Company Global Region `location_country_region` where_sql	partial	70.37%
Company Continent `location_continent` where_sql	partial	70.37%
Company Postal Code `location_postcode` where_sql	partial	56.39%
Company Street Address `location_street` where_sql	partial	58.52%
Primary Location? `location_is_primary` where_sql	partial	44.74%
Professional profile Location Count `org_location_count` where_sql	partial	70.70%
Company Industry (Professional profile) `org_industry_linkedin` industries, exclude_industries	partial	74.25%
SIC Industry Code `org_industry_sic_code` sic_codes	partial	23.31%
SIC Industry Description `org_industry_sic_description` sic_descriptions	partial	23.31%
NAICS Industry Code `org_industry_naics_code` naics_codes	partial	65.44%
NAICS Industry Description `org_industry_naics_description` naics_descriptions	partial	65.44%
2022 NAICS Industry Code `industry_naics_2022_code` where_sql	empty	0.00%
2022 NAICS Industry Description `industry_naics_2022_description` where_sql	empty	0.00%
Predicted 2022 NAICS Code `predicted_industry_naics_2022_code` where_sql	empty	0.00%
Predicted 2022 NAICS Description `predicted_industry_naics_2022_description` where_sql	empty	0.00%
2007 UK SIC Code `industry_uk_standard_2007_code` uk_industry_codes	empty	0.00%
2007 UK SIC Description `industry_uk_standard_2007_description` uk_industry_descriptions	empty	0.00%
Technographic Data of CRM Tools `crm_tech_org` technologies	unmask_only	0.00%
Technographic Data of Marketing Automation Tools `marketing_automation_tech_org` technologies	unmask_only	0.00%
Technographic Data of ABM Tools `abm_tech_org` technologies	unmask_only	0.00%
Technographic Data of Sales Automation Tools `sales_automation_tech_org` technologies	unmask_only	0.00%
Technographic Data of Analytics Tools `analytics_tech_org` technologies	unmask_only	0.00%
Technographic Data of CMS Tools `cms_tech_org` technologies	unmask_only	0.00%
Technographic Data of Conversation Intelligence Tools `conversation_intelligence_tech_org` technologies	unmask_only	0.00%
Technographic Data of Cloud Providers `cloud_provider_tech_org` technologies	unmask_only	0.00%
Technographic Data of Email Hosting `email_hosting_tech_org` technologies	unmask_only	0.00%
Technographic Data of Email Security Tools `email_security_tech_org` technologies	unmask_only	0.00%
Technographic Data of App Security Tools `application_security_tech_org` technologies	unmask_only	0.00%
Technographic Data of Cloud Security Tools `cloud_security_tech_org` technologies	unmask_only	0.00%
Technographic Data of Development Tools `development_tech_org` technologies	unmask_only	0.00%
Technographic Data of E-Commerce Platforms `e_commerce_platform_tech_org` technologies	unmask_only	0.00%
Technographic Data of ERP Tools `erp_tech_org` technologies	unmask_only	0.00%
G2 Martech Sub-Category `martech_categories_org` where_sql	unmask_only	0.00%
Last Funding Date `last_funding_date_org` where_sql	unmask_only	0.00%
Last Funding Amount `last_funding_amount_org` where_sql	unmask_only	0.00%
Last Funding Type `last_funding_type_org` where_sql	unmask_only	0.00%
Lead Investors `lead_investors_org` where_sql	unmask_only	0.00%
Investor Count (Last Round) `funding_round_number_of_investors_org` where_sql	unmask_only	0.00%
Total Funding Amount `total_funding_amount_org` total_funding_min, total_funding_max	unmask_only	0.00%
Marketing Headcount `marketing_role_count_org` marketing_role_count_min, marketing_role_count_max	unmask_only	0.00%
Sales Headcount `sales_role_count_org` sales_role_count_min, sales_role_count_max	unmask_only	0.00%
Operations Headcount `operations_role_count_org` operations_role_count_min, operations_role_count_max	unmask_only	0.00%
Business Development Headcount `business_development_role_count_org` where_sql	unmask_only	0.00%
Customer Success Headcount `customer_success_role_count_org` where_sql	unmask_only	0.00%
IT Headcount `it_role_count_org` where_sql	unmask_only	0.00%
GRC Headcount `grc_role_count_org` where_sql	unmask_only	0.00%
Security Headcount `security_role_count_org` where_sql	unmask_only	0.00%
DevOps Headcount `devops_role_count_org` where_sql	unmask_only	0.00%
Network Infrastructure Headcount `network_infrastructure_role_count_org` where_sql	unmask_only	0.00%
Mobile Developer Headcount `mobile_dev_role_count_org` where_sql	unmask_only	0.00%
iOS Developer Headcount `ios_dev_role_count_org` ios_role_count_min, ios_role_count_max	unmask_only	0.00%
Android Developer Headcount `android_dev_role_count_org` android_role_count_min, android_role_count_max	unmask_only	0.00%
Engineering Headcount `engineer_role_count_org` engineer_role_count_min, engineer_role_count_max	unmask_only	0.00%
QA Headcount `qa_role_count_org` where_sql	unmask_only	0.00%
Open Marketing Roles `marketing_open_roles_count_org` marketing_open_roles_min, marketing_open_roles_max	unmask_only	0.00%
Open Operations Roles `operations_open_roles_count_org` operations_open_roles_min, operations_open_roles_max	unmask_only	0.00%
Open Sales Roles `sales_open_roles_count_org` sales_open_roles_min, sales_open_roles_max	unmask_only	0.00%
Open Account Executive Roles `account_executive_open_roles_count_org` account_executive_open_roles_min, account_executive_open_roles_max	unmask_only	0.00%
Open Customer Success Roles `customer_success_open_roles_count_org` customer_success_open_roles_min, customer_success_open_roles_max	unmask_only	0.00%
Open Demand Generation Roles `demand_generation_open_roles_count_org` demand_generation_open_roles_min, demand_generation_open_roles_max	unmask_only	0.00%
Open Business Development Roles `business_development_open_roles_count_org` business_development_open_roles_min, business_development_open_roles_max	unmask_only	0.00%
Open IT Roles `it_open_roles_count_org` it_open_roles_min, it_open_roles_max	unmask_only	0.00%
Open Security Roles `security_open_roles_count_org` security_open_roles_min, security_open_roles_max	unmask_only	0.00%
Open GRC Roles `grc_open_roles_count_org` grc_open_roles_min, grc_open_roles_max	unmask_only	0.00%
Open DevOps Roles `devops_open_roles_count_org` devops_open_roles_min, devops_open_roles_max	unmask_only	0.00%
Open Network Infrastructure Roles `network_infrastructure_open_roles_count_org` network_infrastructure_open_roles_min, network_infrastructure_open_roles_max	unmask_only	0.00%
Monthly Organic Traffic `monthly_organic_traffic_org` where_sql	unmask_only	0.00%
Monthly Paid Traffic `monthly_paid_traffic_org` where_sql	unmask_only	0.00%
Total Monthly Web Traffic `total_monthly_traffic_org` monthly_traffic_min, monthly_traffic_max	unmask_only	0.00%
Monthly Google Ad Spend ($) `monthly_google_adspend_org` monthly_google_adspend_min, monthly_google_adspend_max	unmask_only	0.00%
Professional profile Employee Growth Rate (%) `employee_on_linkedin_growth_rate_org` employee_growth_rate_min, employee_growth_rate_max	unmask_only	0.00%
Valid Email Count `valid_email_count_org` valid_email_count_min, valid_email_count_max	unmask_only	0.00%
Top App Store URL `top_appleappstore_url_org` where_sql	unmask_only	0.00%
Top App Store Rating `top_appstore_rating_org` where_sql	unmask_only	0.00%
Top App Store Review Count `top_appstore_review_count_org` where_sql	unmask_only	0.00%
Last App Store Update `last_appstore_update_org` where_sql	unmask_only	0.00%
App Store Update Count `appstore_update_count_org` where_sql	unmask_only	0.00%
App Store Category `appstore_app_category_org` where_sql	unmask_only	0.00%
Top Play Store URL `top_playstore_url_org` where_sql	unmask_only	0.00%
Top Play Store Rating `top_playstore_rating_org` where_sql	unmask_only	0.00%
Top Play Store Review Count `top_playstore_review_count_org` where_sql	unmask_only	0.00%
Last Play Store Update `last_playstore_update_org` where_sql	unmask_only	0.00%
Play Store Download Count `playstore_download_count_org` where_sql	unmask_only	0.00%
Play Store Category `playstore_app_category_org` where_sql	unmask_only	0.00%
Total App & Play Store Reviews `total_reviews_org` where_sql	unmask_only	0.00%

curl -sS -X POST "https://leadmcp.ai/api/v1/contacts/search" \
  -H "X-API-Key: lb_live_YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"filters":{"domains":["acme.com"],"email_status":["VALID"]},"limit":10}'