The access token received from the authorization server in the OAuth 2.0 flow.
Scopes
publicAPI.v1.all
Public API v1
Body
application/json
nextToken
string
Opaque cursor token from a previous /search/companies response. Use this to fetch the next page of results.
Example:
"eyJwYWdlIjoyLCJzZWFyY2hJZCI6IjEyMzQ1In0="
limit
integer
default:50
Number of companies to return per page before credit-based trimming is applied. A larger value is reduced to 500 rather than rejected.
Required range: x <= 500
Example:
50
page
integer
default:1
Page number for offset-based pagination, starting at 1. nextToken is the preferred way to page through results and takes precedence when both are sent.
Example:
2
savedSearchId
integer
Run the filters held by a saved search instead of sending them. Get the id from GET /saved-searches. The saved search must be a company search. Cannot be combined with any other filter; doing so returns a validation error. limit, page and nextToken are still accepted.
Example:
1234
companyName
string[]
Company names to match. Use this when you know full company names or key name fragments.
Example:
["Seamless AI"]
companyNameSearchType
enum<string>
default:default
Matching strategy for companyName (default = standard matching, related = include aliases/related names, exact = exact company name only).
Available options:
default,
related,
exact
Example:
"related"
companyDomain
string[]
Company website domains to match (for example root domains without protocol).
Example:
["seamless.ai"]
companyState
string[]
Company location state filters. Accepts a US state name or abbreviation and non-US subdivisions alike ("CA", "California", "Ontario"). A company matches if it is in any of these states, narrowed by companyCountry when that is supplied too. Prefix a value with - to exclude it; an excluded state stands alone, since exclusions narrow on their own. Values match a fixed vocabulary of place names spelled the way our data spells them, which is usually the English exonym — Germany's state is "Bavaria", not "Bayern". US state names and abbreviations are both resolved, so neither needs a lookup. Use GET /search/locations to find the spelling for anything else; a value the vocabulary does not hold matches no companies and comes back under warnings, with suggestions, rather than as an error.
Maximum array length: 10
Example:
["CA"]
companyCountry
string[]
Company location country filters. Narrows companyState rather than widening it, so companyState: ["Virginia"] with companyCountry: ["United States"] returns Virginia companies only. A state and country that do not belong together narrow to nothing: companyState: ["Texas"] with companyCountry: ["Germany"] matches no companies, since no company is in both — that pair comes back under warnings too, suggesting the state's real country. Use locations when you mean either place rather than both. It does not narrow locations — put the country inside the tag itself ("Austin, Texas, United States") to scope a free-form value. Prefix a value with - to exclude it; an excluded country stands alone and narrows nothing. "US", "USA" and "United States of America" all resolve to the United States. Use GET /search/locations?types=country to find any other country's spelling; a value the vocabulary does not hold matches no companies and comes back under warnings, with suggestions, rather than as an error.
Maximum array length: 10
Example:
["United States"]
companyZipCode
string[]
Company postal/zip code filters. Widens the other location filters rather than narrowing them: a company matches if it is in any of these zip codes, or in anything locations / companyState ask for. Send it as the only location filter to match zip codes alone. Prefix a value with - to exclude it.
Maximum array length: 10
Example:
["94105"]
locations
string[]
Free-form location filter — city, state/region, or country — and the only filter that reaches city-level matching. Values may be a single place ("Austin") or comma-separated to disambiguate ("Austin, Texas", "Ontario, Canada"). Prefix a value with - to exclude it. A company matches if it is in any of these places, or in any companyState. Cities are the largest part of the vocabulary and the part no list can enumerate — use GET /search/locations to find one, and pass the returned location string verbatim. Its count is what separates a name meaning several places: "Ontario" is a Canadian province and a larger California city.
Maximum array length: 10
Example:
["Austin, Texas", "-Dallas, Texas"]
locationRadius
enum<string> | null
Widen the company location filters to everything within a radius of each value. Applies to locations, companyState, and companyZipCode alike — there is a single radius for every company location filter. The value is the radius in miles, sent as a string or a number. Only geocodable values get a radius — a city or zip code resolves to coordinates, a country does not. This is the form GET /saved-searches reads a radius back in, so those values can be sent straight through here. The spelled-out label (25 miles) is accepted too, as are the options 1, 2, 3, and 4 this filter originally took, which mean 25, 50, 100, and 250 miles respectively.
Available options:
25,
50,
100,
250
Example:
"50"
industry
enum<string>[]
Industry categories to include in results. Valid values are the fixed industry list below.
Available options:
Accounting,
Airlines/Aviation,
Alternative Dispute Resolution,
Alternative Medicine,
Animation,
Apparel & Fashion,
Architecture & Planning,
Arts and Crafts,
Automotive,
Aviation & Aerospace,
Banking,
Biotechnology,
Broadcast Media,
Building Materials,
Business Supplies and Equipment,
Capital Markets,
Chemicals,
Civic & Social Organization,
Civil Engineering,
Commercial Real Estate,
Computer & Network Security,
Computer Games,
Computer Hardware,
Computer Networking,
Computer Software,
Construction,
Consumer Electronics,
Consumer Goods,
Consumer Services,
Cosmetics,
Dairy,
Defense & Space,
Design,
E-Learning,
Education Management,
Electrical/Electronic Manufacturing,
Entertainment,
Environmental Services,
Events Services,
Executive Office,
Facilities Services,
Farming,
Financial Services,
Fine Art,
Fishery,
Food & Beverages,
Food Production,
Fund-Raising,
Furniture,
Gambling & Casinos,
Glass, Ceramics & Concrete,
Government Administration,
Government Relations,
Graphic Design,
Health, Wellness and Fitness,
Higher Education,
Hospital & Health Care,
Hospitality,
Human Resources,
Import and Export,
Individual & Family Services,
Industrial Automation,
Information Services,
Information Technology and Services,
Insurance,
International Affairs,
International Trade and Development,
Internet,
Investment Banking,
Investment Management,
Judiciary,
Law Enforcement,
Law Practice,
Legal Services,
Legislative Office,
Leisure, Travel & Tourism,
Libraries,
Logistics and Supply Chain,
Luxury Goods & Jewelry,
Machinery,
Management Consulting,
Maritime,
Market Research,
Marketing and Advertising,
Mechanical or Industrial Engineering,
Media Production,
Medical Devices,
Medical Practice,
Mental Health Care,
Military,
Mining & Metals,
Motion Pictures and Film,
Museums and Institutions,
Music,
Nanotechnology,
Newspapers,
Non-Profit Organization Management,
Oil & Energy,
Online Media,
Outsourcing/Offshoring,
Package/Freight Delivery,
Packaging and Containers,
Paper & Forest Products,
Performing Arts,
Pharmaceuticals,
Philanthropy,
Photography,
Plastics,
Political Organization,
Primary/Secondary Education,
Printing,
Professional Training & Coaching,
Program Development,
Public Policy,
Public Relations and Communications,
Public Safety,
Publishing,
Railroad Manufacture,
Ranching,
Real Estate,
Recreational Facilities and Services,
Religious Institutions,
Renewables & Environment,
Research,
Restaurants,
Retail,
Security and Investigations,
Semiconductors,
Shipbuilding,
Sporting Goods,
Sports,
Staffing and Recruiting,
Supermarkets,
Telecommunications,
Textiles,
Think Tanks,
Tobacco,
Translation and Localization,
Transportation/Trucking/Railroad,
Utilities,
Venture Capital & Private Equity,
Veterinary,
Warehousing,
Wholesale,
Wine and Spirits,
Wireless,
Writing and Editing
Example:
["Information Technology and Services"]
industrySicCodes
string[]
Filter by SIC code. Applied independently of industry, so the two can be combined or used on their own. Prefix a value with - to exclude it.
Maximum array length: 5
Example:
["7372"]
industryNaicsCodes
string[]
Filter by NAICS code. Applied independently of industry, so the two can be combined or used on their own. Prefix a value with - to exclude it. On API v2, unrecognized codes are rejected with a validation error. Matching is against the company's own naicsCode. A company that has no naicsCode of its own also matches when its SIC code maps to a requested code.
Maximum array length: 5
Example:
["511210"]
companyKeyword
string[]
Free-text keywords used to match company profile text (name, description, and related indexed company data). Prefix a value with - to exclude it. Excluded keywords always narrow the results (AND logic) regardless of keywordsIsOr, so ["fintech", "payments", "-agency"] with keywordsIsOr: true means (fintech OR payments) AND NOT agency.
Example:
["sales intelligence", "B2B SaaS", "-agency"]
keywordsIsOr
boolean
default:false
Controls how multiple positive companyKeyword values are combined. When false (default), a company must match all of the keywords (AND logic). When true, matching any one of them is enough (OR logic). Keywords prefixed with - are always excluded, whichever mode is used.
Example:
false
companySize
enum<string>[]
Employee size bands to match against company headcount ranges.
Maximum array length: 10
Available options:
0 - 1 (Self-employed),
2 - 10,
11 - 50,
51 - 200,
201 - 500,
501 - 1,000,
1,001 - 5,000,
5,001 - 10,000,
10,001+
Example:
["51 - 200", "201 - 500"]
companyRevenue
enum<string>[]
Revenue range bands to match estimated company revenue.
Maximum array length: 10
Available options:
$0 - $100K,
$100K - $1M,
$1M - $5M,
$5M - $20M,
$20M - $50M,
$50M - $100M,
$100M - $500M,
$500M - $1B,
$1B+
Example:
["$20M - $50M"]
technologies
string[]
Technologies used by the company. Accepts any technology name, such as Salesforce, HubSpot, or Marketo.
Example:
["Salesforce", "HubSpot"]
technologiesIsOr
boolean
default:true
If true, matches companies using any of the specified technologies (OR). If false, matches only companies using all specified technologies (AND).
Example:
true
companyType
enum<string> | null
Filter by company type. Public = companies with a known stock ticker/exchange, Private = all others.
Available options:
Public,
Private
Example:
"Public"
foundedOn
enum<string>[]
Company age buckets based on founding date.
Maximum array length: 4
Available options:
Less than 1 Year,
Last 1-3 Years,
Last 4-10 Years,
10+ Years
Example:
["Less than 1 Year", "Last 1-3 Years"]
newsTypes
enum<string>[]
Filter companies by news/event classification type.
Maximum array length: 8
Available options:
Acquisition,
Corporate Challenges,
Cost Cutting,
Expansion,
Investment,
Leadership,
Partnership,
Recognition
Example:
["Acquisition", "Expansion"]
newsTypeDates
enum<string>[]
Limit news/event results to a rolling day window (60, 90, 180, or 365 days). Sending more than one value returns a validation error.
Maximum array length: 1
Available options:
60,
90,
180,
365
Example:
["60"]
latestFundingDates
enum<string>[]
Filter companies based on the date of their latest funding round (90, 180, 365 days or 3 years).
Maximum array length: 1
Available options:
90,
180,
365,
1095
Example:
["90"]
latestFundingClassifications
enum<string>[]
Filter companies based on the classifications of their latest funding round.
Maximum array length: 14
Available options:
Angel,
Pre-Seed,
Seed,
Series A,
Series B,
Series C,
Series D,
Series E,
Series F,
Series G,
Series H,
Series I,
Series J,
Other
Example:
["Series A", "Seed"]
latestFundingTotals
enum<string>[]
Filter companies based on the total funding amount they have raised.
Maximum array length: 9
Available options:
$0 - $100K,
$100K - $1M,
$1M - $5M,
$5M - $20M,
$20M - $50M,
$50M - $100M,
$100M - $500M,
$500M - $1B,
$1B+
Example:
["$0 - $100K", "$100K - $1M"]
Response
Company Search Results
success
boolean
Example:
true
data
object[]
A list of companies
Show child attributes
supplementalData
object
Pagination metadata for the current search result set.
Show child attributes
warnings
object[]
Non-fatal notices about the request, absent when there are none. The search ran regardless. Today this reports location filter values that name nowhere in the search index, which is the difference between a typo and an empty result set. A companyState and companyCountry that cannot both be true — ["Texas"] with ["Germany"] — is reported the same way, on the field companyState+companyCountry, since the pair is what company search matches on and neither half is wrong by itself. It is reported only when no combination of the two survives: the pairing is a cross product, so ["Texas", "Bavaria"] with ["United States", "Germany"] is a working search whose two dead combinations match nothing and take nothing away. Values are reported rather than rejected so that a filter which has always been accepted keeps working; a warned value matches no contacts, so treat it as a request to fix, not as a result. Use GET /search/locations to find the spelling the index holds, or read suggestions below.
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Use this when you know full company names or key name fragments.","example":["Seamless AI"],"uniqueKey":"companyName","typeLabel":"string[]"},"companyNameSearchType":{"description":"Matching strategy for `companyName` (`default` = standard matching, `related` = include aliases/related names, `exact` = exact company name only).","type":"string","enum":["default","related","exact"],"default":"default","example":"related","uniqueKey":"companyNameSearchType","typeLabel":"enum\u003cstring>"},"companyDomain":{"type":"array","items":{"type":"string","uniqueKey":"companyDomain.items.[INDEX]","typeLabel":"string"},"description":"Company website domains to match (for example root domains without protocol).","example":["seamless.ai"],"uniqueKey":"companyDomain","typeLabel":"string[]"},"companyState":{"type":"array","items":{"type":"string","uniqueKey":"companyState.items.[INDEX]","typeLabel":"string"},"maxItems":10,"description":"Company location state filters. Accepts a US state name or abbreviation and non-US subdivisions alike (`\"CA\"`, `\"California\"`, `\"Ontario\"`). A company matches if it is in any of these states, narrowed by `companyCountry` when that is supplied too. Prefix a value with `-` to exclude it; an excluded state stands alone, since exclusions narrow on their own. Values match a fixed vocabulary of place names spelled the way our data spells them, which is usually the English exonym — Germany's state is `\"Bavaria\"`, not `\"Bayern\"`. US state names and abbreviations are both resolved, so neither needs a lookup. Use `GET /search/locations` to find the spelling for anything else; a value the vocabulary does not hold matches no companies and comes back under `warnings`, with suggestions, rather than as an error.\n","example":["CA"],"uniqueKey":"companyState","typeLabel":"string[]"},"companyCountry":{"type":"array","items":{"type":"string","uniqueKey":"companyCountry.items.[INDEX]","typeLabel":"string"},"maxItems":10,"description":"Company location country filters. Narrows `companyState` rather than widening it, so `companyState: [\"Virginia\"]` with `companyCountry: [\"United States\"]` returns Virginia companies only. A state and country that do not belong together narrow to nothing: `companyState: [\"Texas\"]` with `companyCountry: [\"Germany\"]` matches no companies, since no company is in both — that pair comes back under `warnings` too, suggesting the state's real country. Use `locations` when you mean either place rather than both. It does not narrow `locations` — put the country inside the tag itself (`\"Austin, Texas, United States\"`) to scope a free-form value. Prefix a value with `-` to exclude it; an excluded country stands alone and narrows nothing. `\"US\"`, `\"USA\"` and `\"United States of America\"` all resolve to the United States. Use `GET /search/locations?types=country` to find any other country's spelling; a value the vocabulary does not hold matches no companies and comes back under `warnings`, with suggestions, rather than as an error.\n","example":["United States"],"uniqueKey":"companyCountry","typeLabel":"string[]"},"companyZipCode":{"type":"array","items":{"type":"string","uniqueKey":"companyZipCode.items.[INDEX]","typeLabel":"string"},"maxItems":10,"description":"Company postal/zip code filters. Widens the other location filters rather than narrowing them: a company matches if it is in any of these zip codes, or in anything `locations` / `companyState` ask for. Send it as the only location filter to match zip codes alone. Prefix a value with `-` to exclude it.\n","example":["94105"],"uniqueKey":"companyZipCode","typeLabel":"string[]"},"locations":{"description":"Free-form location filter — city, state/region, or country — and the only filter that reaches city-level matching. Values may be a single place (`\"Austin\"`) or comma-separated to disambiguate (`\"Austin, Texas\"`, `\"Ontario, Canada\"`). Prefix a value with `-` to exclude it. A company matches if it is in any of these places, or in any `companyState`. Cities are the largest part of the vocabulary and the part no list can enumerate — use `GET /search/locations` to find one, and pass the returned `location` string verbatim. Its `count` is what separates a name meaning several places: `\"Ontario\"` is a Canadian province and a larger California city.\n","type":"array","items":{"type":"string","uniqueKey":"locations.items.[INDEX]","typeLabel":"string"},"maxItems":10,"example":["Austin, Texas","-Dallas, Texas"],"uniqueKey":"locations","typeLabel":"string[]"},"locationRadius":{"oneOf":[{"description":"Widen the company location filters to everything within a radius of each value. Applies to `locations`, `companyState`, and `companyZipCode` alike — there is a single radius for every company location filter. The value is the radius in miles, sent as a string or a number. Only geocodable values get a radius — a city or zip code resolves to coordinates, a country does not. This is the form `GET /saved-searches` reads a radius back in, so those values can be sent straight through here. The spelled-out label (`25 miles`) is accepted too, as are the options `1`, `2`, `3`, and `4` this filter originally took, which mean 25, 50, 100, and 250 miles respectively.\n","type":"string","enum":["25","50","100","250"],"default":null,"example":"50","uniqueKey":"locationRadius.oneOf.0","typeLabel":"enum\u003cstring>"},{"description":"Widen the company location filters to everything within a radius of each value. Applies to `locations`, `companyState`, and `companyZipCode` alike — there is a single radius for every company location filter. The value is the radius in miles, sent as a string or a number. Only geocodable values get a radius — a city or zip code resolves to coordinates, a country does not. This is the form `GET /saved-searches` reads a radius back in, so those values can be sent straight through here. The spelled-out label (`25 miles`) is accepted too, as are the options `1`, `2`, `3`, and `4` this filter originally took, which mean 25, 50, 100, and 250 miles respectively.\n","type":"null","enum":["25","50","100","250"],"default":null,"example":"50","uniqueKey":"locationRadius.oneOf.1","typeLabel":"null"}],"uniqueKey":"locationRadius","typeLabel":"enum\u003cstring> | null"},"industry":{"type":"array","items":{"type":"string","enum":["Accounting","Airlines/Aviation","Alternative Dispute Resolution","Alternative Medicine","Animation","Apparel \u0026 Fashion","Architecture \u0026 Planning","Arts and Crafts","Automotive","Aviation \u0026 Aerospace","Banking","Biotechnology","Broadcast Media","Building Materials","Business Supplies and Equipment","Capital Markets","Chemicals","Civic \u0026 Social Organization","Civil Engineering","Commercial Real Estate","Computer \u0026 Network Security","Computer Games","Computer Hardware","Computer Networking","Computer Software","Construction","Consumer Electronics","Consumer Goods","Consumer Services","Cosmetics","Dairy","Defense \u0026 Space","Design","E-Learning","Education Management","Electrical/Electronic Manufacturing","Entertainment","Environmental Services","Events Services","Executive Office","Facilities Services","Farming","Financial Services","Fine Art","Fishery","Food \u0026 Beverages","Food Production","Fund-Raising","Furniture","Gambling \u0026 Casinos","Glass, Ceramics \u0026 Concrete","Government Administration","Government Relations","Graphic Design","Health, Wellness and Fitness","Higher Education","Hospital \u0026 Health Care","Hospitality","Human Resources","Import and Export","Individual \u0026 Family Services","Industrial Automation","Information Services","Information Technology and Services","Insurance","International Affairs","International Trade and Development","Internet","Investment Banking","Investment Management","Judiciary","Law Enforcement","Law Practice","Legal Services","Legislative Office","Leisure, Travel \u0026 Tourism","Libraries","Logistics and Supply Chain","Luxury Goods \u0026 Jewelry","Machinery","Management Consulting","Maritime","Market Research","Marketing and Advertising","Mechanical or Industrial Engineering","Media Production","Medical Devices","Medical Practice","Mental Health Care","Military","Mining \u0026 Metals","Motion Pictures and Film","Museums and Institutions","Music","Nanotechnology","Newspapers","Non-Profit Organization Management","Oil \u0026 Energy","Online Media","Outsourcing/Offshoring","Package/Freight Delivery","Packaging and Containers","Paper \u0026 Forest Products","Performing Arts","Pharmaceuticals","Philanthropy","Photography","Plastics","Political Organization","Primary/Secondary Education","Printing","Professional Training \u0026 Coaching","Program Development","Public Policy","Public Relations and Communications","Public Safety","Publishing","Railroad Manufacture","Ranching","Real Estate","Recreational Facilities and Services","Religious Institutions","Renewables \u0026 Environment","Research","Restaurants","Retail","Security and Investigations","Semiconductors","Shipbuilding","Sporting Goods","Sports","Staffing and Recruiting","Supermarkets","Telecommunications","Textiles","Think Tanks","Tobacco","Translation and Localization","Transportation/Trucking/Railroad","Utilities","Venture Capital \u0026 Private Equity","Veterinary","Warehousing","Wholesale","Wine and Spirits","Wireless","Writing and Editing"],"uniqueKey":"industry.items.[INDEX]","typeLabel":"enum\u003cstring>"},"description":"Industry categories to include in results. Valid values are the fixed industry list below.","example":["Information Technology and Services"],"uniqueKey":"industry","typeLabel":"enum\u003cstring>[]"},"industrySicCodes":{"description":"Filter by SIC code. Applied independently of `industry`, so the two can be combined or used on their own. Prefix a value with `-` to exclude it.\n","type":"array","items":{"type":"string","uniqueKey":"industrySicCodes.items.[INDEX]","typeLabel":"string"},"maxItems":5,"example":["7372"],"uniqueKey":"industrySicCodes","typeLabel":"string[]"},"industryNaicsCodes":{"description":"Filter by NAICS code. Applied independently of `industry`, so the two can be combined or used on their own. Prefix a value with `-` to exclude it. On API v2, unrecognized codes are rejected with a validation error. Matching is against the company's own `naicsCode`. A company that has no `naicsCode` of its own also matches when its SIC code maps to a requested code.\n","type":"array","items":{"type":"string","uniqueKey":"industryNaicsCodes.items.[INDEX]","typeLabel":"string"},"maxItems":5,"example":["511210"],"uniqueKey":"industryNaicsCodes","typeLabel":"string[]"},"companyKeyword":{"type":"array","items":{"type":"string","uniqueKey":"companyKeyword.items.[INDEX]","typeLabel":"string"},"description":"Free-text keywords used to match company profile text (name, description, and related indexed company data). Prefix a value with `-` to exclude it. Excluded keywords always narrow the results (AND logic) regardless of `keywordsIsOr`, so `[\"fintech\", \"payments\", \"-agency\"]` with `keywordsIsOr: true` means (fintech OR payments) AND NOT agency.\n","example":["sales intelligence","B2B SaaS","-agency"],"uniqueKey":"companyKeyword","typeLabel":"string[]"},"keywordsIsOr":{"description":"Controls how multiple positive `companyKeyword` values are combined. When `false` (default), a company must match all of the keywords (AND logic). When `true`, matching any one of them is enough (OR logic). Keywords prefixed with `-` are always excluded, whichever mode is used.\n","type":"boolean","default":false,"example":false,"uniqueKey":"keywordsIsOr","typeLabel":"boolean"},"companySize":{"type":"array","items":{"type":"string","enum":["0 - 1 (Self-employed)","2 - 10","11 - 50","51 - 200","201 - 500","501 - 1,000","1,001 - 5,000","5,001 - 10,000","10,001+"],"uniqueKey":"companySize.items.[INDEX]","typeLabel":"enum\u003cstring>"},"maxItems":10,"description":"Employee size bands to match against company headcount ranges.","example":["51 - 200","201 - 500"],"uniqueKey":"companySize","typeLabel":"enum\u003cstring>[]"},"companyRevenue":{"type":"array","items":{"type":"string","enum":["$0 - $100K","$100K - $1M","$1M - $5M","$5M - $20M","$20M - $50M","$50M - $100M","$100M - $500M","$500M - $1B","$1B+"],"uniqueKey":"companyRevenue.items.[INDEX]","typeLabel":"enum\u003cstring>"},"maxItems":10,"description":"Revenue range bands to match estimated company revenue.","example":["$20M - $50M"],"uniqueKey":"companyRevenue","typeLabel":"enum\u003cstring>[]"},"technologies":{"type":"array","items":{"type":"string","uniqueKey":"technologies.items.[INDEX]","typeLabel":"string"},"description":"Technologies used by the company. Accepts any technology name, such as `Salesforce`, `HubSpot`, or `Marketo`.","example":["Salesforce","HubSpot"],"uniqueKey":"technologies","typeLabel":"string[]"},"technologiesIsOr":{"type":"boolean","description":"If true, matches companies using any of the specified technologies (OR). If false, matches only companies using all specified technologies (AND).","default":true,"example":true,"uniqueKey":"technologiesIsOr","typeLabel":"boolean"},"companyType":{"oneOf":[{"type":"string","description":"Filter by company type. `Public` = companies with a known stock ticker/exchange, `Private` = all others.\n","enum":["Public","Private"],"default":null,"example":"Public","uniqueKey":"companyType.oneOf.0","typeLabel":"enum\u003cstring>"},{"type":"null","description":"Filter by company type. `Public` = companies with a known stock ticker/exchange, `Private` = all others.\n","enum":["Public","Private"],"default":null,"example":"Public","uniqueKey":"companyType.oneOf.1","typeLabel":"null"}],"uniqueKey":"companyType","typeLabel":"enum\u003cstring> | null"},"foundedOn":{"type":"array","items":{"type":"string","enum":["Less than 1 Year","Last 1-3 Years","Last 4-10 Years","10+ Years"],"uniqueKey":"foundedOn.items.[INDEX]","typeLabel":"enum\u003cstring>"},"description":"Company age buckets based on founding date.","maxItems":4,"example":["Less than 1 Year","Last 1-3 Years"],"uniqueKey":"foundedOn","typeLabel":"enum\u003cstring>[]"},"newsTypes":{"type":"array","items":{"type":"string","enum":["Acquisition","Corporate Challenges","Cost Cutting","Expansion","Investment","Leadership","Partnership","Recognition"],"uniqueKey":"newsTypes.items.[INDEX]","typeLabel":"enum\u003cstring>"},"maxItems":8,"description":"Filter companies by news/event classification type.","example":["Acquisition","Expansion"],"uniqueKey":"newsTypes","typeLabel":"enum\u003cstring>[]"},"newsTypeDates":{"type":"array","items":{"type":"string","enum":["60","90","180","365"],"uniqueKey":"newsTypeDates.items.[INDEX]","typeLabel":"enum\u003cstring>"},"maxItems":1,"description":"Limit news/event results to a rolling day window (60, 90, 180, or 365 days). Sending more than one value returns a validation error.","example":["60"],"uniqueKey":"newsTypeDates","typeLabel":"enum\u003cstring>[]"},"latestFundingDates":{"type":"array","items":{"type":"string","enum":["90","180","365","1095"],"uniqueKey":"latestFundingDates.items.[INDEX]","typeLabel":"enum\u003cstring>"},"description":"Filter companies based on the date of their latest funding round (90, 180, 365 days or 3 years).","example":["90"],"maxItems":1,"uniqueKey":"latestFundingDates","typeLabel":"enum\u003cstring>[]"},"latestFundingClassifications":{"type":"array","items":{"type":"string","enum":["Angel","Pre-Seed","Seed","Series A","Series B","Series C","Series D","Series E","Series F","Series G","Series H","Series I","Series J","Other"],"uniqueKey":"latestFundingClassifications.items.[INDEX]","typeLabel":"enum\u003cstring>"},"description":"Filter companies based on the classifications of their latest funding round.","example":["Series A","Seed"],"maxItems":14,"uniqueKey":"latestFundingClassifications","typeLabel":"enum\u003cstring>[]"},"latestFundingTotals":{"type":"array","items":{"type":"string","enum":["$0 - $100K","$100K - $1M","$1M - $5M","$5M - $20M","$20M - $50M","$50M - $100M","$100M - $500M","$500M - $1B","$1B+"],"uniqueKey":"latestFundingTotals.items.[INDEX]","typeLabel":"enum\u003cstring>"},"description":"Filter companies based on the total funding amount they have raised.","example":["$0 - $100K","$100K - $1M"],"maxItems":9,"uniqueKey":"latestFundingTotals","typeLabel":"enum\u003cstring>[]"}},"uniqueKey":"","typeLabel":"object"},"examples":{"Example":{"title":"Example","value":{"nextToken":"eyJwYWdlIjoyLCJzZWFyY2hJZCI6IjEyMzQ1In0=","limit":50,"page":2,"savedSearchId":1234,"companyName":["Seamless AI"],"companyNameSearchType":"related","companyDomain":["seamless.ai"],"companyState":["CA"],"companyCountry":["United States"],"companyZipCode":["94105"],"locations":["Austin, Texas","-Dallas, Texas"],"locationRadius":"50","industry":["Information Technology and Services"],"industrySicCodes":["7372"],"industryNaicsCodes":["511210"],"companyKeyword":["sales intelligence","B2B SaaS","-agency"],"keywordsIsOr":false,"companySize":["51 - 200","201 - 500"],"companyRevenue":["$20M - $50M"],"technologies":["Salesforce","HubSpot"],"technologiesIsOr":true,"companyType":"Public","foundedOn":["Less than 1 Year","Last 1-3 Years"],"newsTypes":["Acquisition","Expansion"],"newsTypeDates":["60"],"latestFundingDates":["90"],"latestFundingClassifications":["Series A","Seed"],"latestFundingTotals":["$0 - $100K","$100K - $1M"]}}},"exampleType":"generated"}},"exampleType":"generated"},"responses":{"d88ac912-89e5-4519-b891-7098c0a0851b":{"description":"Company Search Results","content":{"application/json":{"schema":{"type":"object","properties":{"success":{"type":"boolean","example":true,"uniqueKey":"success","typeLabel":"boolean"},"data":{"description":"A list of companies","type":"array","items":{"type":"object","description":"A company search result. Any field may be `null` when the underlying record lacks that attribute — search and research results are sparse, so treat every field below as optional and nullable.","properties":{"searchResultId":{"type":"string","description":"Stable identifier for this search result item, used by enrichment/research endpoints.","example":"a1b2c3d4-e5f6-3a4b-8c9d-1e2f3a4b5c6d","uniqueKey":"data.items.[INDEX].searchResultId","typeLabel":"string"},"companyName":{"oneOf":[{"type":"string","description":"Canonical company name. Same vocabulary as the `companyName` search filter.","example":"Seamless.AI","uniqueKey":"data.items.[INDEX].companyName.oneOf.0","typeLabel":"string"},{"type":"null","description":"Canonical company name. Same vocabulary as the `companyName` search filter.","example":"Seamless.AI","uniqueKey":"data.items.[INDEX].companyName.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].companyName","typeLabel":"string | null"},"name":{"oneOf":[{"deprecated":true,"type":"string","description":"Deprecated alias for `companyName`. Prefer `companyName`, which matches the search filter of the same name.","example":"Seamless.AI","uniqueKey":"data.items.[INDEX].name.oneOf.0","typeLabel":"string"},{"deprecated":true,"type":"null","description":"Deprecated alias for `companyName`. Prefer `companyName`, which matches the search filter of the same name.","example":"Seamless.AI","uniqueKey":"data.items.[INDEX].name.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].name","typeLabel":"string | null"},"street1":{"oneOf":[{"type":"string","description":"Primary street line for the company location.","example":"800 W El Camino Real","uniqueKey":"data.items.[INDEX].street1.oneOf.0","typeLabel":"string"},{"type":"null","description":"Primary street line for the company location.","example":"800 W El Camino Real","uniqueKey":"data.items.[INDEX].street1.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].street1","typeLabel":"string | null"},"street2":{"oneOf":[{"type":"string","description":"Secondary street line for the company location.","example":"Suite 180","uniqueKey":"data.items.[INDEX].street2.oneOf.0","typeLabel":"string"},{"type":"null","description":"Secondary street line for the company location.","example":"Suite 180","uniqueKey":"data.items.[INDEX].street2.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].street2","typeLabel":"string | null"},"street3":{"oneOf":[{"type":"string","description":"Additional street/location line when provided.","example":"Building B","uniqueKey":"data.items.[INDEX].street3.oneOf.0","typeLabel":"string"},{"type":"null","description":"Additional street/location line when provided.","example":"Building B","uniqueKey":"data.items.[INDEX].street3.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].street3","typeLabel":"string | null"},"city":{"oneOf":[{"type":"string","description":"City of the company location.","example":"Mountain View","uniqueKey":"data.items.[INDEX].city.oneOf.0","typeLabel":"string"},{"type":"null","description":"City of the company location.","example":"Mountain View","uniqueKey":"data.items.[INDEX].city.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].city","typeLabel":"string | null"},"state":{"oneOf":[{"type":"string","description":"State or region of the company location.","example":"CA","uniqueKey":"data.items.[INDEX].state.oneOf.0","typeLabel":"string"},{"type":"null","description":"State or region of the company location.","example":"CA","uniqueKey":"data.items.[INDEX].state.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].state","typeLabel":"string | null"},"postCode":{"oneOf":[{"type":"string","description":"Postal/zip code of the company location.","example":"94040","uniqueKey":"data.items.[INDEX].postCode.oneOf.0","typeLabel":"string"},{"type":"null","description":"Postal/zip code of the company location.","example":"94040","uniqueKey":"data.items.[INDEX].postCode.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].postCode","typeLabel":"string | null"},"country":{"oneOf":[{"type":"string","description":"Country of the company location.","example":"United States","uniqueKey":"data.items.[INDEX].country.oneOf.0","typeLabel":"string"},{"type":"null","description":"Country of the company location.","example":"United States","uniqueKey":"data.items.[INDEX].country.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].country","typeLabel":"string | null"},"domain":{"oneOf":[{"type":"string","description":"Primary website domain for the company.","example":"seamless.ai","uniqueKey":"data.items.[INDEX].domain.oneOf.0","typeLabel":"string"},{"type":"null","description":"Primary website domain for the company.","example":"seamless.ai","uniqueKey":"data.items.[INDEX].domain.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].domain","typeLabel":"string | null"},"description":{"oneOf":[{"type":"string","description":"Short company profile/summary text.","example":"Seamless.AI is a sales intelligence platform for finding and engaging prospects.","uniqueKey":"data.items.[INDEX].description.oneOf.0","typeLabel":"string"},{"type":"null","description":"Short company profile/summary text.","example":"Seamless.AI is a sales intelligence platform for finding and engaging prospects.","uniqueKey":"data.items.[INDEX].description.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].description","typeLabel":"string | null"},"liUrl":{"oneOf":[{"type":"string","description":"Public LinkedIn company profile URL when available.","example":"https://www.linkedin.com/company/seamless-ai/","uniqueKey":"data.items.[INDEX].liUrl.oneOf.0","typeLabel":"string"},{"type":"null","description":"Public LinkedIn company profile URL when available.","example":"https://www.linkedin.com/company/seamless-ai/","uniqueKey":"data.items.[INDEX].liUrl.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].liUrl","typeLabel":"string | null"},"sicCode":{"oneOf":[{"type":"string","description":"Standard Industrial Classification (SIC) code associated with the company.","example":"7372","uniqueKey":"data.items.[INDEX].sicCode.oneOf.0","typeLabel":"string"},{"type":"null","description":"Standard Industrial Classification (SIC) code associated with the company.","example":"7372","uniqueKey":"data.items.[INDEX].sicCode.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].sicCode","typeLabel":"string | null"},"naicsCode":{"oneOf":[{"type":"integer","description":"North American Industry Classification System (NAICS) code associated with the company.","example":541512,"uniqueKey":"data.items.[INDEX].naicsCode.oneOf.0","typeLabel":"integer"},{"type":"null","description":"North American Industry Classification System (NAICS) code associated with the company.","example":541512,"uniqueKey":"data.items.[INDEX].naicsCode.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].naicsCode","typeLabel":"integer | null"},"industries":{"oneOf":[{"type":"array","description":"Industry categories associated with the company.","example":["Information Technology and Services","Computer Software"],"items":{"type":"string","uniqueKey":"data.items.[INDEX].industries.oneOf.0.items.[INDEX]","typeLabel":"string"},"uniqueKey":"data.items.[INDEX].industries.oneOf.0","typeLabel":"string[]"},{"type":"null","description":"Industry categories associated with the company.","example":["Information Technology and Services","Computer Software"],"items":{"type":"string"},"uniqueKey":"data.items.[INDEX].industries.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].industries","typeLabel":"string[] | null"},"companyRevenue":{"oneOf":[{"type":"string","description":"Revenue band bucket assigned to the company. Same vocabulary as the `companyRevenue` search filter.","example":"$20M - $50M","uniqueKey":"data.items.[INDEX].companyRevenue.oneOf.0","typeLabel":"string"},{"type":"null","description":"Revenue band bucket assigned to the company. Same vocabulary as the `companyRevenue` search filter.","example":"$20M - $50M","uniqueKey":"data.items.[INDEX].companyRevenue.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].companyRevenue","typeLabel":"string | null"},"revenueRange":{"oneOf":[{"deprecated":true,"type":"string","description":"Deprecated alias for `companyRevenue`. Prefer `companyRevenue`, which matches the search filter of the same name.","example":"$20M - $50M","uniqueKey":"data.items.[INDEX].revenueRange.oneOf.0","typeLabel":"string"},{"deprecated":true,"type":"null","description":"Deprecated alias for `companyRevenue`. Prefer `companyRevenue`, which matches the search filter of the same name.","example":"$20M - $50M","uniqueKey":"data.items.[INDEX].revenueRange.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].revenueRange","typeLabel":"string | null"},"annualRevenue":{"oneOf":[{"type":"integer","description":"Estimated annual revenue value, when available.","example":35000000,"uniqueKey":"data.items.[INDEX].annualRevenue.oneOf.0","typeLabel":"integer"},{"type":"null","description":"Estimated annual revenue value, when available.","example":35000000,"uniqueKey":"data.items.[INDEX].annualRevenue.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].annualRevenue","typeLabel":"integer | null"},"companySize":{"oneOf":[{"type":"string","description":"Employee headcount band for the company. Same vocabulary as the `companySize` search filter.","example":"51 - 200","uniqueKey":"data.items.[INDEX].companySize.oneOf.0","typeLabel":"string"},{"type":"null","description":"Employee headcount band for the company. Same vocabulary as the `companySize` search filter.","example":"51 - 200","uniqueKey":"data.items.[INDEX].companySize.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].companySize","typeLabel":"string | null"},"staffCountRange":{"oneOf":[{"deprecated":true,"type":"string","description":"Deprecated alias for `companySize`. Prefer `companySize`, which matches the search filter of the same name. This alias keeps the historical label (`51 - 200 employees`); `companySize` is the filter apiValue (`51 - 200`).","example":"51 - 200 employees","uniqueKey":"data.items.[INDEX].staffCountRange.oneOf.0","typeLabel":"string"},{"deprecated":true,"type":"null","description":"Deprecated alias for `companySize`. Prefer `companySize`, which matches the search filter of the same name. This alias keeps the historical label (`51 - 200 employees`); `companySize` is the filter apiValue (`51 - 200`).","example":"51 - 200 employees","uniqueKey":"data.items.[INDEX].staffCountRange.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].staffCountRange","typeLabel":"string | null"},"employeeCount":{"oneOf":[{"type":"string","description":"Estimated employee count.","example":"125","uniqueKey":"data.items.[INDEX].employeeCount.oneOf.0","typeLabel":"string"},{"type":"null","description":"Estimated employee count.","example":"125","uniqueKey":"data.items.[INDEX].employeeCount.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].employeeCount","typeLabel":"string | null"},"numContacts":{"oneOf":[{"type":"string","description":"Number of contacts currently associated with this company in indexed results.","example":"487","uniqueKey":"data.items.[INDEX].numContacts.oneOf.0","typeLabel":"string"},{"type":"null","description":"Number of contacts currently associated with this company in indexed results.","example":"487","uniqueKey":"data.items.[INDEX].numContacts.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].numContacts","typeLabel":"string | null"},"technologies":{"oneOf":[{"type":"array","description":"Technologies detected for the company.","example":["Salesforce","HubSpot","Marketo"],"items":{"type":"string","uniqueKey":"data.items.[INDEX].technologies.oneOf.0.items.[INDEX]","typeLabel":"string"},"uniqueKey":"data.items.[INDEX].technologies.oneOf.0","typeLabel":"string[]"},{"type":"null","description":"Technologies detected for the company.","example":["Salesforce","HubSpot","Marketo"],"items":{"type":"string"},"uniqueKey":"data.items.[INDEX].technologies.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].technologies","typeLabel":"string[] | null"},"linkedInId":{"oneOf":[{"type":"string","description":"LinkedIn company ID when available.","example":"1234567","uniqueKey":"data.items.[INDEX].linkedInId.oneOf.0","typeLabel":"string"},{"type":"null","description":"LinkedIn company ID when available.","example":"1234567","uniqueKey":"data.items.[INDEX].linkedInId.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].linkedInId","typeLabel":"string | null"},"companyLIURL":{"oneOf":[{"type":"string","description":"Alternate LinkedIn company URL source returned from social metadata when available.","example":"https://www.linkedin.com/company/seamless-ai/","uniqueKey":"data.items.[INDEX].companyLIURL.oneOf.0","typeLabel":"string"},{"type":"null","description":"Alternate LinkedIn company URL source returned from social metadata when available.","example":"https://www.linkedin.com/company/seamless-ai/","uniqueKey":"data.items.[INDEX].companyLIURL.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].companyLIURL","typeLabel":"string | null"},"companyGRURL":{"oneOf":[{"type":"string","format":"uri","description":"A Google search URL for the company name. Returned when the company has been enriched.","example":"https://www.google.com/search?q=Seamless.AI","uniqueKey":"data.items.[INDEX].companyGRURL.oneOf.0","typeLabel":"string\u003curi>"},{"type":"null","format":"uri","description":"A Google search URL for the company name. Returned when the company has been enriched.","example":"https://www.google.com/search?q=Seamless.AI","uniqueKey":"data.items.[INDEX].companyGRURL.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].companyGRURL","typeLabel":"string\u003curi> | null"},"foundedOn":{"oneOf":[{"type":"string","format":"date","description":"Company founding date.","example":"2015-01-01","uniqueKey":"data.items.[INDEX].foundedOn.oneOf.0","typeLabel":"string\u003cdate>"},{"type":"null","format":"date","description":"Company founding date.","example":"2015-01-01","uniqueKey":"data.items.[INDEX].foundedOn.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].foundedOn","typeLabel":"string\u003cdate> | null"},"newsAndEvents":{"oneOf":[{"type":"array","description":"Recent news articles related to the company.","items":{"type":"object","properties":{"title":{"oneOf":[{"description":"The headline of the news 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null"}},"uniqueKey":"data.items.[INDEX].newsAndEvents.oneOf.0.items.[INDEX]","typeLabel":"object"},"uniqueKey":"data.items.[INDEX].newsAndEvents.oneOf.0","typeLabel":"object[]"},{"type":"null","description":"Recent news articles related to the company.","items":{"type":"object","properties":{"title":{"oneOf":[{"description":"The headline of the news article.","type":"string"},{"description":"The headline of the news article.","type":"null"}]},"url":{"oneOf":[{"description":"The URL to the full news article.","type":"string"},{"description":"The URL to the full news article.","type":"null"}]},"date":{"oneOf":[{"description":"The date the news article was published.","type":"string","format":"date"},{"description":"The date the news article was published.","type":"null","format":"date"}]},"type":{"oneOf":[{"description":"The type of news article (e.g., \"Acquisition\").","type":"string"},{"description":"The type of news article (e.g., \"Acquisition\").","type":"null"}]}}},"uniqueKey":"data.items.[INDEX].newsAndEvents.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].newsAndEvents","typeLabel":"object[] | null"},"fundingTotal":{"oneOf":[{"type":"string","description":"Most recent total funding amount for the company.","example":"135000000","uniqueKey":"data.items.[INDEX].fundingTotal.oneOf.0","typeLabel":"string"},{"type":"null","description":"Most recent total funding amount for the company.","example":"135000000","uniqueKey":"data.items.[INDEX].fundingTotal.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].fundingTotal","typeLabel":"string | null"},"latestFundingDate":{"oneOf":[{"type":"string","description":"The date of the most recent funding round for the company.","format":"date","example":"2018-01-01","uniqueKey":"data.items.[INDEX].latestFundingDate.oneOf.0","typeLabel":"string\u003cdate>"},{"type":"null","description":"The date of the most recent funding round for the company.","format":"date","example":"2018-01-01","uniqueKey":"data.items.[INDEX].latestFundingDate.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].latestFundingDate","typeLabel":"string\u003cdate> | null"},"latestFundingClassifications":{"oneOf":[{"type":"array","description":"The classifications of the most recent funding round for the company.","example":["Series D"],"items":{"type":"string","uniqueKey":"data.items.[INDEX].latestFundingClassifications.oneOf.0.items.[INDEX]","typeLabel":"string"},"uniqueKey":"data.items.[INDEX].latestFundingClassifications.oneOf.0","typeLabel":"string[]"},{"type":"null","description":"The classifications of the most recent funding round for the company.","example":["Series D"],"items":{"type":"string"},"uniqueKey":"data.items.[INDEX].latestFundingClassifications.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].latestFundingClassifications","typeLabel":"string[] | null"},"companyType":{"oneOf":[{"type":"string","description":"Company type — \"Public\" or \"Private\" when determined.","enum":["Public","Private"],"example":"Public","uniqueKey":"data.items.[INDEX].companyType.oneOf.0","typeLabel":"enum\u003cstring>"},{"type":"null","description":"Company type — \"Public\" or \"Private\" when determined.","enum":["Public","Private"],"example":"Public","uniqueKey":"data.items.[INDEX].companyType.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].companyType","typeLabel":"enum\u003cstring> | null"},"stockTicker":{"oneOf":[{"type":"string","description":"Stock ticker symbol of the company, if publicly traded.","example":"AAPL","uniqueKey":"data.items.[INDEX].stockTicker.oneOf.0","typeLabel":"string"},{"type":"null","description":"Stock ticker symbol of the company, if publicly traded.","example":"AAPL","uniqueKey":"data.items.[INDEX].stockTicker.oneOf.1","typeLabel":"null"}],"uniqueKey":"data.items.[INDEX].stockTicker","typeLabel":"string | null"}},"uniqueKey":"data.items.[INDEX]","typeLabel":"object"},"uniqueKey":"data","typeLabel":"object[]"},"supplementalData":{"type":"object","description":"Pagination metadata for the current search result set.","properties":{"isMore":{"description":"Indicates whether additional pages of results are available beyond the current page.","type":"boolean","example":true,"uniqueKey":"supplementalData.isMore","typeLabel":"boolean"},"total":{"description":"The total number of contacts matching the search criteria.","type":"integer","example":150,"uniqueKey":"supplementalData.total","typeLabel":"integer"},"perPage":{"description":"The number of results returned per page for this search request. Returned by contact search only — company search omits this field, so read the page size from the length of `data` rather than relying on it.","type":"integer","example":50,"uniqueKey":"supplementalData.perPage","typeLabel":"integer"},"nextToken":{"oneOf":[{"description":"An opaque pagination token. Pass this value in the `nextToken` field of your next request body to retrieve the next page of results. Null or absent when no more pages are available.","type":"string","example":"eyJwYWdlIjoyLCJzZWFyY2hJZCI6ImFiYzEyMyJ9","uniqueKey":"supplementalData.nextToken.oneOf.0","typeLabel":"string"},{"description":"An opaque pagination token. Pass this value in the `nextToken` field of your next request body to retrieve the next page of results. Null or absent when no more pages are available.","type":"null","example":"eyJwYWdlIjoyLCJzZWFyY2hJZCI6ImFiYzEyMyJ9","uniqueKey":"supplementalData.nextToken.oneOf.1","typeLabel":"null"}],"uniqueKey":"supplementalData.nextToken","typeLabel":"string | null"}},"uniqueKey":"supplementalData","typeLabel":"object"},"warnings":{"type":"array","description":"Non-fatal notices about the request, absent when there are none. The search ran regardless. Today this reports location filter values that name nowhere in the search index, which is the difference between a typo and an empty result set. A `companyState` and `companyCountry` that cannot both be true — `[\"Texas\"]` with `[\"Germany\"]` — is reported the same way, on the field `companyState+companyCountry`, since the pair is what company search matches on and neither half is wrong by itself. It is reported only when no combination of the two survives: the pairing is a cross product, so `[\"Texas\", \"Bavaria\"]` with `[\"United States\", \"Germany\"]` is a working search whose two dead combinations match nothing and take nothing away. Values are reported rather than rejected so that a filter which has always been accepted keeps working; a warned value matches no contacts, so treat it as a request to fix, not as a result. Use `GET /search/locations` to find the spelling the index holds, or read `suggestions` below.\n","items":{"type":"object","properties":{"field":{"description":"The request field the value was sent on, or `companyState+companyCountry` for a state and country that cannot both be true.\n","type":"string","example":"companyCountry","uniqueKey":"warnings.items.[INDEX].field","typeLabel":"string"},"value":{"description":"The value that matched nothing, exactly as it was sent.","type":"string","example":"Untied States","uniqueKey":"warnings.items.[INDEX].value","typeLabel":"string"},"message":{"description":"A human-readable explanation of the warning.","type":"string","example":"\"Untied States\" does not name any location in the search index, so it matches no contacts. Did you mean \"United States\"?","uniqueKey":"warnings.items.[INDEX].message","typeLabel":"string"},"suggestions":{"description":"Real locations near the unmatched value, most common first, in the same shape `GET /search/locations` returns. Empty when nothing resembles the value.\n","type":"array","items":{"type":"object","description":"One entry of the location filter vocabulary — a value the search index will actually match, spelled the way the index spells it.\n","properties":{"location":{"description":"The exact string to send on a location filter. Pass it verbatim; a partial or re-spelled form may match nothing.\n","type":"string","example":"Austin, Texas, United States","uniqueKey":"warnings.items.[INDEX].suggestions.items.[INDEX].location","typeLabel":"string"},"type":{"description":"Which tier of the vocabulary this entry belongs to, and so which filter it belongs on. A `postcode` goes on `contactZipCode` or `companyZipCode`; every other tier goes on a location filter, and only `city-state-country` and `city-country` reach city level.\n","type":"string","enum":["city-state-country","state-country","city-country","country","postcode"],"example":"city-state-country","uniqueKey":"warnings.items.[INDEX].suggestions.items.[INDEX].type","typeLabel":"enum\u003cstring>"},"count":{"description":"Contacts in the index at this location. This is what disambiguates a name that means several places — \"Ontario\" is a Canadian province and five US cities, and the largest of them is \"Ontario, California, United States\".\n","type":"integer","example":166378,"uniqueKey":"warnings.items.[INDEX].suggestions.items.[INDEX].count","typeLabel":"integer"}},"uniqueKey":"warnings.items.[INDEX].suggestions.items.[INDEX]","typeLabel":"object"},"uniqueKey":"warnings.items.[INDEX].suggestions","typeLabel":"object[]"}},"uniqueKey":"warnings.items.[INDEX]","typeLabel":"object"},"uniqueKey":"warnings","typeLabel":"object[]"}},"uniqueKey":"","typeLabel":"object"},"examples":{"Example":{"title":"Example","value":{"success":true,"data":[{"searchResultId":"a1b2c3d4-e5f6-3a4b-8c9d-1e2f3a4b5c6d","companyName":"Seamless.AI","name":"Seamless.AI","street1":"800 W El Camino Real","street2":"Suite 180","street3":"Building B","city":"Mountain View","state":"CA","postCode":"94040","country":"United States","domain":"seamless.ai","description":"Seamless.AI is a sales intelligence platform for finding and engaging prospects.","liUrl":"https://www.linkedin.com/company/seamless-ai/","sicCode":"7372","naicsCode":541512,"industries":["Information Technology and Services","Computer Software"],"companyRevenue":"$20M - $50M","revenueRange":"$20M - $50M","annualRevenue":35000000,"companySize":"51 - 200","staffCountRange":"51 - 200 employees","employeeCount":"125","numContacts":"487","technologies":["Salesforce","HubSpot","Marketo"],"linkedInId":"1234567","companyLIURL":"https://www.linkedin.com/company/seamless-ai/","companyGRURL":"https://www.google.com/search?q=Seamless.AI","foundedOn":"2015-01-01","newsAndEvents":[{"title":"\u003cstring>","url":"\u003cstring>","date":"2023-12-25","type":"\u003cstring>"}],"fundingTotal":"135000000","latestFundingDate":"2018-01-01","latestFundingClassifications":["Series D"],"companyType":"Public","stockTicker":"AAPL"}],"supplementalData":{"isMore":true,"total":150,"perPage":50,"nextToken":"eyJwYWdlIjoyLCJzZWFyY2hJZCI6ImFiYzEyMyJ9"},"warnings":[{"field":"companyCountry","value":"Untied States","message":"\"Untied States\" does not name any location in the search index, so it matches no contacts. Did you mean \"United States\"?","suggestions":[{"location":"Austin, Texas, United States","type":"city-state-country","count":166378}]}]}}},"exampleType":"generated"}},"exampleType":"generated"},"76b3dcca-ce70-46b0-b675-ebc1b4c18d39":{"description":"A filter value is invalid, `limit` is below 1, `savedSearchId` is sent with other search filters, or the saved search is not a company search","content":{"application/json":{"schema":{"type":"object","required":["msg"],"properties":{"msg":{"description":"A human readable error message","type":"string","isRequired":true,"uniqueKey":"msg","typeLabel":"string"},"code":{"description":"Machine-readable error code, when one 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