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In particular, the Client shall refrain from integrating, processing and/or using the data of a third party; and/or granting full or partial access to the LoneScale platform, in particular in the form of a service bureau, in ASP, in PaaS or in SaaS; [...] (v) use LoneScale in violation of applicable regulations; (vi) create composite or derivative works with the help of all or part of LoneScale; (vii) make any other use of LoneScale than the one allowed by the General Conditions. [...] the Client commits itself to respect the applicable legislation, in particular the local legal provisions concerning commercial prospecting","plan":"Starter","who":"any natural or legal person; a natural person uses it for their professional activity, and LoneScale's moderation team validates the account","billing":"monthly","charged":null,"topUp":null,"pay":200,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":2000,"unit":"credit","renews":"month","expires":null,"costUnits":null,"calls":null,"monthlyCap":null,"perThousand":null,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":null,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":[],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":null,"resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":0.083,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":"Search Company","method":"GET","path":"/companies/search","send":"domain, linkedin_id, slug or name (at least one); 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[...] If you want to integrate our API into your live software product, contact us [...] to discuss your use case and find the best API setup options for your business [...] you warrant [...] that you will not: [...] knowingly or negligently use this website or any of its associated services in a way that abuses or disrupts our networks or any other service Muraena.ai provides; use this website or its associated services to transmit or publish any harassing, indecent, obscene, fraudulent, or unlawful material; use this website or its associated services in violation of any applicable laws or regulations; use this website in conjunction with sending unauthorized advertising or spam; harvest, collect, or gather user data without the user’s consent; use this website or its associated services in such a way that may infringe the privacy, intellectual property rights, or other rights of third parties","plan":"Custom plan","who":"users on the Business package, registered in the Muraena app","billing":"contact","charged":null,"topUp":null,"pay":null,"currency":"USD","exchangeRate":1,"termMonths":null,"from":null,"graduated":null,"units":null,"unit":"credit","renews":null,"expires":null,"costUnits":1,"calls":null,"monthlyCap":null,"perThousand":null,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":null,"sharesBudgetWith":null,"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"call","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":null,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"GET","path":"/company_reveal","send":"domain","fields":["name","domain","website","LinkedIn URL","description","industry","location","country","employee count minimum","employee count maximum","last funding date","total funding","buyer intent topics","technologies"]},{"provider":"Nymeria","api":"Cached company enrichment","website":"https://www.nymeria.io","pricingPage":"https://www.nymeria.io/pricing","pitch":"Our company enrichment API enables you to easily fill in missing company information. [...] The company enrichment endpoints take enrichment parameters such as a company's name or website URL and returns the matching company profile.","strengths":[],"aggregators":[],"freshness":"stored","fieldFreshness":null,"history":null,"keep":"no limit","use":"We grant you a limited, nonexclusive, nontransferable license, subject to the terms of this Agreement, to access and use the Nymeria Site, and the content, materials, information and functionality available in connection therewith (collectively, the \"Content\") solely for informational, transactional, or other approved purposes as permitted by Nymeria from time to time. Any other use of the Nymeria Site or Content is expressly prohibited. [...] You will not otherwise copy, transmit, distribute, sell, resell, license, de-compile, reverse engineer, disassemble, modify, publish, participate in the transfer or sale of, create derivative works from, perform, display, incorporate into another website, or in any other way exploit any of the Content or any other part of the Nymeria Site or any derivative works thereof, in whole or in part for commercial or non-commercial purposes. Without limiting the foregoing, you will not frame or display the Nymeria Site or Content (or any portion thereof) as part of any other web site or any other work of authorship without our prior written permission. [...] The Nymeria API is owned by Nymeria and is licensed to Nymeria API users on a non-exclusive, non-sublicensable basis. Nymeria reserves the right to restrict or limit use when, in its sole discretion, we identify abusive, burdensome, or prohibited use of the Nymeria API. [...] You may not use your Nymeria Account to engage in the following categories of activity (\"Prohibited Use\"). By opening a Nymeria Account, you confirm that you will not use your Account to do any of the following: [...] Violate or assist any party in violating any law, statute, ordinance, regulation or any rule of any self-regulatory or similar organization of which you are or are required to be a member (for example, those laws, rules, or regulations governing financial services, controlled substances, or consumer protections). [...] Infringe upon Nymeria's or any third party's copyright, patent, trademark, or intellectual property rights. [...] Take any action that imposes an unreasonable or disproportionately large load on our infrastructure, or detrimentally interfere with, intercept, or expropriate any system, data, or information. [...] Interfere with another individual's or entity's access to or use of any of the Nymeria Services. [...] Defame, abuse, harass, stalk, threaten or otherwise violate or infringe the legal rights (such as, but not limited to, rights of privacy, publicity and intellectual property) of others. [...] Publish, distribute or disseminate any unlawful material or information. [...] Harvest or otherwise collect information from the Nymeria Site about others, including without limitation email addresses, without proper consent. [...] Act as a payment intermediary or aggregator or otherwise resell any of the Nymeria Services, unless expressly authorized by Nymeria in writing. [...] Transfer any rights granted to you under this Agreement. [...] Thus, you agree not to use, and not to encourage or allow any Client or End User to use, the Nymeria Services in the following prohibited ways: Using the Nymeria Services to encourage any illegal, fraudulent, abusive, or other activities. Using the Nymeria Services in connection with credit granting, credit monitoring, account review, collection, insurance underwriting, employment or for any other purpose covered by the Fair Credit Reporting Act (15 U.S.C. Sec. 1681 et seq (\"FCRA\")), Federal Trade Commission interpretations of the FCRA, and similar federal and state statutes. Using the Nymeria Services for any form of debt collection. Using the Nymeria Services to engage in, or in connection with fraudulent activity. Using the Nymeria Services directly as the sole source of data for hard background check purposes. Using the Nymeria Services to determine eligibility for a government license or benefit. Using the Nymeria Services for any purpose prohibited by applicable data privacy and security laws, including the General Data Protection Regulation (Regulation (EU) 2016/679) (\"GDPR\"), the California Consumer Privacy Act or any similar state or national laws. 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[...] Customer agrees not to: Use bots, scrapers, or automated extraction tools; Reverse engineer, decompile, or probe security features; Upload malware or introduce security vulnerabilities; Resell the Services or use them to operate a service bureau; Misrepresent identity or impersonate other users; Violate the intellectual property rights of Ocean.io or third parties. 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[...] The internal use licence, is a worldwide, fixed-term, revocable, non-exclusive and non-sublicensable licence to do anything with the API data which our intellectual property rights would entitle us to do, subject to the following rules: a) API data may be used solely by your staff or your contractors; and b) You may not communicate the API data or any part of it to any third party; nor may any third party be given access to the API data or any part of it. c) No product or service usable by any third party may make use of our API in order to function, regardless of whether the third party is able to make use of specific API data and regardless of the form in which the product or service is delivered.\" \"External distribution licence. [...] a worldwide, fixed-term, revocable, non-exclusive and non-sublicensable licence to distribute the API data but only in the form of a derivative work or works consisting of some or all of the API data amalgamated with other data such that: a) any recipient of the derivative work or works does not receive any substantial part of the API data that is not combined with other data; and b) a reasonable person in your industry would consider the derivative work or works to have 'added value' to the API data.\" \"Where the 'restricted_for_marketing' field has been set in any API data returned to you ('restricted data') [...] you: a) shall ensure that you have consulted the restrictions advertised for that specific jurisdiction, before making use of any of the restricted data; b) may not use the restricted data for any purpose prohibited by that jurisdiction; c) may not use the restricted data for marketing or advertising purposes in any event.\" \"If you distribute API data in the form of a derivative work or works, you shall identify us as the original source of the API data in a manner customary for the medium which you are using [...] by displaying the phrase 'Powered by OpenCorporates' together with our logo.\" \"14. Definition of Confidential Information. 'Confidential Information' means any and all information disclosed by or on behalf of one party (the 'Disclosing Party') to the other party (the 'Receiving Party') under or in connection with this Agreement, whether before, on, or after the Effective Date, that is marked or identified as confidential or proprietary, or that a reasonable person would understand to be confidential given the nature of the information and the circumstances of its disclosure. a) Without limiting the generality of the foregoing, the following shall be deemed our Confidential Information: the API Key, the proprietary software, code, database schemas, and system architectures underlying the API, any non-public technical documentation, applicable order forms, pricing information, and any performance, security, or benchmark metrics relating to the API. b) Confidential Information does not include any information that: i) is or becomes publicly known through no breach or wrongful act of the Receiving Party; ii) was already in the lawful possession of the Receiving Party prior to its disclosure by the Disclosing Party; iii) is independently developed by the Receiving Party without reference to or reliance upon the Disclosing Party's Confidential Information; or iv) is lawfully obtained by the Receiving Party from a third party without restriction on disclosure. 15. Obligations of Non-Use and Non-Disclosure. The Receiving Party shall: a) hold all Confidential Information of the Disclosing Party in strict confidence; b) protect the Disclosing Party's Confidential Information from unauthorized access, use, or disclosure using at least the same degree of care that it uses to protect its own confidential information of a similar nature, but in no event less than a reasonable standard of care; c) use the Disclosing Party's Confidential Information solely to exercise its rights and perform its obligations under this Agreement; and d) not disclose, distribute, or make available any Confidential Information of the Disclosing Party to any third party, except to its officers, directors, employees, professional advisors, and authorized contractors (collectively, 'Representatives') who have a legitimate 'need to know' such information for the purposes of this Agreement, and who are bound by written confidentiality obligations at least as protective of the Confidential Information as the terms of this Section. The Receiving Party shall remain fully responsible for any breach of this Section by its Representatives. 16. Permitted Disclosures (Compelled Disclosure). If the Receiving Party is required by applicable law, regulation, court order, or a government or regulatory authority to disclose any of the Disclosing Party's Confidential Information, the Receiving Party shall, to the extent legally permitted, provide the Disclosing Party with prompt written notice of such requirement so that the Disclosing Party may seek a protective order or other appropriate remedy. The Receiving Party shall disclose only that portion of the Confidential Information that it is legally advised it is required to disclose, and shall exercise reasonable efforts to obtain assurance that confidential treatment will be accorded to the disclosed information. 17. Return or Destruction of Materials. Upon the expiration or termination of this Agreement for any reason, or upon the written request of the Disclosing Party, the Receiving Party shall immediately cease using and, at the Disclosing Party's option, either return to the Disclosing Party or securely destroy all Confidential Information of the Disclosing Party in its possession, custody, or control, together with all copies, extracts, or summaries thereof. Notwithstanding the foregoing, the Receiving Party may retain copies of Confidential Information to the extent required by applicable law or professional archiving standards, or to the extent automatically saved on secure, routine system backup servers, provided that any such retained Confidential Information shall remain strictly subject to the confidentiality obligations of this Section for as long as it is retained. [...] 19. Survival. The confidentiality obligations set forth herein shall survive the expiration or termination of this Agreement for a period of five (5) years; provided that with respect to any Confidential Information constituting a trade secret under applicable law, such obligations shall survive indefinitely or for as long as the information remains a trade secret.\"","plan":"Essentials","who":"anyone not on a government sanctions list and not in a country under comprehensive trade sanctions or embargoes","billing":"yearly","charged":null,"topUp":null,"pay":2250,"currency":"GBP","exchangeRate":1.3335,"termMonths":12,"from":null,"graduated":null,"units":500,"unit":"request","renews":"month","expires":"usage refreshes at midnight UTC on the last day of the month","costUnits":1,"calls":500,"monthlyCap":null,"perThousand":500.0625,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":null,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":["companies/search","companies/:jurisdiction_code/:company_number/statements"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"call","resultsPerPage":null,"resultsCap":null,"perDay":200,"perSecond":5,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"GET","path":"/v0.4/companies/:jurisdiction_code/:company_number","send":"jurisdiction_code, company_number; sparse","fields":["name","company number","jurisdiction code","company type","current status","incorporation date","dissolution date","inactive","OpenCorporates URL","previous names","alternative names","alternate registration entities","previous registration entities","subsequent registration entities","registered address in full","registered address","industry code","identifiers","registry URL","controlling entity","ultimate beneficial owners","ultimate controlling company","branch","branch status","home company","corporate groupings","officers","filings","most recent data","source publisher","source URL","source terms","source retrieved at","created at","updated at","retrieved at"]},{"provider":"Openmart","api":"Cached company enrichment","website":"https://www.openmart.ai","pricingPage":"https://www.openmart.ai/pricing","pitch":"Retrieve Openmart business records from Google Place IDs in a single call.","strengths":[],"aggregators":[],"freshness":"1 month","fieldFreshness":null,"history":null,"keep":"no limit","use":"The Content is provided \"solely for your personal, non-commercial use or internal business purpose\". 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Notwithstanding the foregoing, you may display insubstantial excerpts of Content for criticism, commentary, news reporting, teaching, scholarship, research and similar purposes, provided: The use does not compete with the Service; and Proper attribution is provided to Parsers (please follow our Attribution Instructions to ensure that you are properly attributing Parsers). Any other uses of Content require agreed with our team by email or in writing. [...] You represent, warrant, and agree that you will not contribute or submit any User Submission (defined below) or other materials or otherwise use the Service or interact with the Service in a manner that: Infringes or violates the intellectual property rights or any other rights of anyone else (including Parsers); Violates any law or regulation, including without limitation any applicable export control laws and/or data privacy laws, or would cause Parsers to be in violation of any law or regulation (including, without limitation, any laws relating to labor, employment, or the issuance of securities); Is harmful, fraudulent, deceptive, threatening, harassing, defamatory, obscene, or otherwise objectionable; Jeopardizes the security of your Parsers account or anyone else’s (such as allowing someone else to log in to the Service as you); Attempts, in any manner, to obtain the password, account, or other security information from any other user; Violates the security of any computer network, or cracks any passwords or security encryption codes; 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[...] Cached Data may not be provided or displayed to more than one End User. [...] Upon termination of this Agreement, Customer must delete all Data it has received from PDL from all applicable Subscription Periods (including Cached Data), and sign and return to PDL the Data Deletion Agreement in Exhibit A within 30 days of termination.","use":"PDL hereby grants to Customer a limited, revocable, non-exclusive, non-transferable, non-sublicensable right and license to access the Services specified in the Order Form or in Customer Account during the Subscription Period for its internal business purposes. [...] (i) to display PDL-supplied Data to Customer’s own clients who engage with the data (“End Users”) on Customer’s platform or within Customer’s product; (ii) to maintain PDL-supplied Data in Customer’s database for the purpose of performing calculations and mapping PDL Data against Customer Data [...] Customer shall not, and shall not permit any client or third party that may have access to the Data to: (i) resell, sublicense, distribute or otherwise provide access to the Services, Data, or information contained in or derived from the Services, to any third party or use the Services outside the scope of the license granted herein; (ii) copy, modify, adapt, translate, prepare derivative works from, reverse engineer, disassemble, or decompile the Services or otherwise attempt to discover any source code or trade secrets related to the Services; or (iii) use the trademarks, trade names, service marks, logos, domain names and other distinctive brand features or any copyright or other proprietary rights associated with the Services for any purpose without the express written consent of PDL. [...] Customer may not build products from the Data that resemble or compete with PDL products. [...] This Acceptable Data Use Policy [...] describes actions that People Data Labs (“PDL”) prohibits when any party uses the PDL Services. [...] You may not use the PDL Services without agreeing to this ADUP. Thus, you agree not to use, and not to encourage or allow any client or End User to use, the PDL Services in the following prohibited ways: In connection with or in any way encourage any illegal, fraudulent, abusive, or similar activities. To promote or advertise guns, ammunition, or weapons, adult content or services (such as pornography), credit repair services, payday loan services, tobacco or marijuana products except with prior signed authorization from People Data Labs. To promote or advertise any product or service that violates intellectual property rights, such as the sale of counterfeit products. To promote particular company stock purchases. For any form of debt collection. For hard background check purposes. To determine eligibility for a government license or benefit. To “re-identify” pseudonymous information (such as a cookie identifier) by merging it with personally identifiable information (such as an email address). For any purpose prohibited by applicable data privacy and security laws, including the General Data Protection Regulation (Regulation (EU) 2016/679) (“GDPR”), the California Consumer Privacy Act or any similar state or national laws. For the purposes of training Gen AI systems or models that can generate derived synthetic content, including text, images, video, and audio, that emulates the structure and characteristics of the system’s training data. For the benefit of any one political candidate, political party, political campaign or advocacy group affiliated exclusively with or formed to benefit any one political candidate, political party or political campaign. 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(\"FCRA\"), Federal Trade Commission interpretations of the FCRA, and similar federal and state statutes including for any purposes enumerated in the FCRA in lieu of obtaining a Consumer Report; or use or provide services or data provided by PDL for the preparation of a Consumer Report or in such a manner that may cause such data to be characterized as a Consumer Report. 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account has intent signal account","saved account HubSpot ID","saved account ID","saved account intent signal account","saved account label IDs","saved account LinkedIn URL","saved account modality","saved account name","saved account original source","saved account owner ID","saved account parent account ID","saved account phone","saved account phone status","saved account playbook statuses","saved account rule statuses","saved account Salesforce ID","saved account sanitized phone","saved account shows intent","saved account source","saved account source display name","saved account stage ID","saved account team ID","saved date","saved list IDs","screenshot captured at","screenshot URL","SEC forms","secondary industries","secondary SIC codes","sector keywords","sector label","senior management rating","seniority","SEPA IDs","services","serving source","shareholder currency","shareholder forename","shareholder funds","shareholder middle name","shareholder name","shareholder name suffix","shareholder number of shares","shareholder share class","shareholder share value","shareholder shares","shareholder surname","shareholder title","short name","SIC","SIC classification","SIC industry","SIC year","SICHLUs","SICs","similar company company one","similar company company two","similar company similarity","similar composite companies","similar pages","similar pages ID","similar pages industry","similar pages location","similar pages name","similar pages URL","Similarweb last month visits","SIRET","sitemap URL","six-month headcount growth","slogan","snippets loaded","social check-ins","social likes","social media follower counts","social media followers","social media following","social media handle","social media ID","social media joined","social media likes","social media links","social media network","social media profile name","social media slug","social media subscribers","social media verified","social media videos","social media views","social members","social monthly views","social posts","social profile company ID","social profile description","social profile ID","social profile location","social rating","social review count","social stats updated at","social talking about count","social URLs","social video count","socials","software average rating","software review count","source count","source publisher","source retrieved at","source terms","source URL","spinout","spinout date","spinout universities","SSB classification","staff","staff count","staff count range","staff sources","start date","states","status code","status comment","status history date","status history text","status page","status value","statutory seat","stock exchange MIC code","stock index","stock symbol","stock symbols","stock ticker","stock turnover ratio","stock type","store emails","store ID","store name","store phones","sub-unit industries","sub-unit type","subdomains","subindustries","subregion","subsequent registration entities","subsidiary count","subsidiary rollup countries","subsidiary rollup employee count","subsidiary rollup industries","succeeded","successors","Sumble ID","Sumble URL","sundry reserves","suppliers","tag ID","tag name","tangible assets","target audience","taxation","taxonomy version","technologies scanned date","technologies tracked","technology attributes","technology categories","technology category ID","technology category name","technology count","technology detected at","technology detection method","technology icon","technology ID","technology list category","technology list name","technology names","technology parent category","technology versions","technology website","telephone number","terms page","Thai taxpayer IDs","third-party agency","tickers","TikTok name","TikTok specialties","time to interactive","time zone","title","tonnes of CO2 equivalent GHG per year","total assets","total blocking time","total debt ratio","total estimated funding","total estimated funding date","total found","total funding printed","total funding rounds","total funding USD","total investment","total job value","total organic results","total records","total requested","total requested domains","total requested records","total reviews","total web visitors","tracking pixels","trade creditors","trade debtors","trading address","trading address additional data","trading address address key","trading address administrative county","trading address building name","trading address building number","trading address constituency","trading address country","trading address country code","trading address county","trading address county code","trading address department","trading address dependent locality","trading address dependent thoroughfare description","trading address dependent thoroughfare name","trading address district","trading address district code","trading address double dependent locality","trading address DPS","trading address easting","trading address grid reference","trading address latitude","trading address locality","trading address longitude","trading address northing","trading address organisation","trading address organisation key","trading address PO box","trading address postal county","trading address postcode","trading address postcode type","trading address sub-building name","trading address telephone number","trading address thoroughfare description","trading address thoroughfare name","trading address traditional county","trading address unique reference","trading address ward","trading address ward code","traffic share by country","traffic sources","Tranco rank","TSIC classification","turnover","twelve-month headcount growth","twenty-four-month headcount growth","Twitter name","Twitter specialties","two-year employee growth rate","UK SIC classification","ultimate beneficial owners","ultimate controlling company","ultimate linked company number","ultimate parent","ultimate parent company ID","ultimate parent company name","ultimate parent domain","ultimate parent employees","ultimate parent nation","ultimate parent revenue","ultimate parent website","ultimate UK parent company names","ultimate UK parent company numbers","unique domain","unique domains","unique enriched records","unique records","unique website","universal name","update date","updated date","updates page","URI details","URL match stats","URN","use cases","uses www","VAT ID","VAT number","VAT numbers","version","wages and salaries","warnings","web traffic bounce rate","web traffic page views","web traffic pages per visit","web traffic visits","website alias","website description","website domain","website email addresses","website home page","website match matched website","website match matched website confidence","website match matched website reasoning","website match matched website score","website phone numbers","website reachable","website title","Wellfound URL","WhatsApp numbers","Wikidata URL","Wikipedia description","Wikipedia pageviews last month","Wikipedia pageviews last quarter","Wikipedia pageviews last year","Wikipedia pageviews month-over-month growth","Wikipedia pageviews quarter-over-quarter growth","Wikipedia pageviews year-over-year growth","women led active female directors","women led active female founders","women led active male directors","women led active male founders","women led active unknown gender directors","women led active unknown gender founders","women led initial female founders","women led initial male founders","women led stats","women led total active directors","women led total active founders","women led total initial founders","work direct phone","work-life balance rating","working capital","Xing handle","Xing name","Xing specialties","year closed","yearly profit","yearly revenues","yearly sales","yearly staff","Yelp rating","Yelp reviews count","Yelp URL","your company name","YouTube name","YouTube specialties","zip","ZIP code extension"]},"same":["api","strengths","waterfall","resultsCap","monthlyFee","addons","catchAllPerThousand","bounceRefund","history"],"facets":["defaults","provider","price","fields","billing","who","freshness","use","answer","paysFor"],"ties":{"Cached company enrichment":{"tied":["AnyAPI, top-up from $10","AnyAPI, top-up from $10, Manual top-up","Apollo, $99 monthly","Apollo, $99 monthly, Professional","BigPicture, contact us","BigPicture, contact us, Enterprise","Brandfetch, top-up from $1","Brandfetch, top-up from $1, Standing access","CompanyEnrich, $149 monthly","CompanyEnrich, $149 monthly, Pro","CompanyEnrich, $149 monthly, Pro, GET /companies/enrich","CompanyEnrich, $149 monthly, Pro, GET /companies/enrich, 50,000 credits a month","Coresignal, $49 monthly","Coresignal, $49 monthly, Mini","Coresignal, $49 monthly, Mini, GET /v2/company_multi_source/collect/{company_id}","Coresignal, $49 monthly, Mini, GET /v2/company_multi_source/collect/{company_id}, 2,500 credits a month","Crustdata, contact us","Crustdata, contact us, Real-time API access","Data Legion, top-up from $10","Data Legion, top-up from $10, Company Base","Diffbot, $299 monthly","Diffbot, $299 monthly, Startup","DiscoLike, $399 monthly","DiscoLike, $399 monthly, Team","Fundable, $100 monthly","Fundable, $100 monthly, Pro+","GetProspect, $49 monthly","GetProspect, $49 monthly, Starter","Implisense, €169 pack","Implisense, €169 pack, 2,000 Implicents","JobsPipe, $9.80 pack","JobsPipe, $9.80 pack, Credit pack without an account","Kendo, $129 monthly","Kendo, $129 monthly, Corporate","Ocean.io, $3,000 yearly","Ocean.io, $3,000 yearly, Growth","Openmart, $149 monthly","Openmart, $149 monthly, Starter","Parsers VC, $249 monthly","Parsers VC, $249 monthly, Scale","Parsers VC, $249 monthly, Scale, GET /startups","Parsers VC, $249 monthly, Scale, GET /startups, 75,000 credits a month","People Data Labs, $100 monthly","People Data Labs, $100 monthly, Pro, Tier 1","PredictLeads, pay as you go","PredictLeads, pay as you go, 10,001-100,000 API Calls","Prospeo, $249 monthly","Prospeo, $249 monthly, Pro","Skrapp, $349 monthly","Skrapp, $349 monthly, Enterprise 50K","Societeinfo, contact us","Societeinfo, contact us, Business","StackScan, $189 monthly","StackScan, $189 monthly, Enterprise","TechnologyChecker, $249 monthly","TechnologyChecker, $249 monthly, Scale","The Companies API, $295 monthly","The Companies API, $295 monthly, Scaleup","The Data City, contact us","The Data City, contact us, API access"],"movedPages":{"CompanyEnrich, $149 monthly, Pro, GET /companies/enrich, Enrich by domain":"/cached-company-enrichment-apis/companyenrich/149-monthly","Coresignal, $49 monthly, Mini, GET /v2/company_multi_source/collect/{company_id}, Collect: Company API":"/cached-company-enrichment-apis/coresignal/49-monthly","Diffbot, $299 monthly, Startup, GET /kg/v3/enhance":"/cached-company-enrichment-apis/diffbot/299-monthly","Parsers VC, $249 monthly, Scale, GET /startups, List startups filtered by domain, name or website":"/cached-company-enrichment-apis/parsers-vc/249-monthly-scale-get-startups"},"canonicals":{"abm.dev":"2-99-pack","Abstract API":"free","akta.pro":"top-up","AnyAPI\nPOST /v1/run/company_identify.crustdata_v3":"free-trial-key-post-v1-run-company-identify-crustdata-v3","AnyAPI":"free-trial-key-post-v1-run-apollo-organizations-bulk-enrich","Anysite":"free","Apollo":"free-free-post-organizations-bulk-enrich","Autobound":"free","BigPicture":"free-trial-get-v1-companies-find","Brandfetch":"free","CompanyEnrich":"free","Coresignal":"free","Crustdata":"free-20-free-credits","Data Legion":"free-trial-post-company-enrich-bulk","Diffbot\nGET /kg/v3/enhance":"free-free","Diffbot":"free-free-post-kg-v3-enhance-bulk","DiscoLike":"99-monthly-starter-post-append","Enigma":"100-pack","Exellius Systems Inc":"free","Extruct":"free","Firmable":"free","Fundable\nPOST /companies":"free-pay-as-you-go-200-free-api-credits-post-companies","Fundable":"free-pay-as-you-go-200-free-api-credits-get-investor","GetProspect\nPOST /v2/companies/enrich":"free-free-post-v2-companies-enrich","GetProspect":"free-free-post-v2-companies-bulk-enrich","graph8":"free","Hirebase":"free","Hunter":"free","Implisense":"free-free-get-v2-companies-id","JobsPipe":"free-free-get-v1-companies-key","Kendo":"free-free-get-companybydomain","LeadIQ":"free","LoneScale":"free","Lusha":"free","Mailrook":"free","Nymeria":"free","Ocean.io\nPOST /v2/lookup/companies":"free-trial-post-v2-lookup-companies","Ocean.io":"free-trial-post-v2-enrich-companies","OpenCorporates":"free","Openmart\nGET /api/v1/business_records/list/google_place_id":"free-free-get-api-v1-business-records-list-google-place-id","Openmart":"free-free-post-api-v1-enrich-company","Parsers VC\nGET /startups\nList startups filtered by domain, name or website":"free-free-get-startups","Parsers VC":"free-free-get-companies-search","People Data Labs\nGET /v5/company/enrich":"free-free-get-v5-company-enrich","People Data Labs":"free-free-post-v5-company-enrich-bulk","PredictLeads\nGET /extended_companies/{id_or_domain}":"free-100-api-credits-free-get-extended-companies-id-or-domain","PredictLeads":"free-100-api-credits-free-get-companies-id-or-domain","Prospeo\nPOST /enrich-company":"49-monthly-starter-post-enrich-company","Prospeo":"49-monthly-starter-post-bulk-enrich-company","Sacra":"50-monthly","Saleshandy":"13-pack","SalesQL":"79-monthly","Shovels":"free","Skrapp\nGET /api/v3/companies/snapshot":"349-monthly-enterprise-50k-get-api-v3-companies-snapshot","Skrapp":"349-monthly-enterprise-50k-post-api-v3-companies-bulk-enrich","StackScan":"39-monthly-pro-get-v1-tech-lookup-companies-lookup","Sumble":"free","Swarmhit":"free","TechnologyChecker\nGET /v1/company/{domain}":"free-free-get-v1-company-domain","TechnologyChecker":"free-free-post-v1-companies-batch","The Companies API":"free-free-get-v2-companies-domain","The Swarm":"free","Tomba":"free","UpLead":"free","Versium":"free","ZoomInfo":"free"}}},"shared":[],"notes":{"name":"The row's name, unique on the sheet: the provider, then the plan's price, like \"API Builderz, $50 monthly\", \"HarvestAPI, $280 pack\", \"Crawlbase, pay as you go\", \"Bright Data, top-up\" (a prepaid balance of any amount), \"AnyAPI, top-up from $10\" (a balance you top up by $10 or more), \"free\" or \"contact us\". If two plans share a price, we add the plan's name, then the call's method and path, its units and the call's name, until no two rows share a name. We build the name for the sheet and leave it out of the sheet's CSV and JSON. datacircle.json and datacircle.csv have the name from its API's sheet.","api":"This column names each row's API. \"Employee profile\" returns a person's LinkedIn profile, on LinkedIn profiles. \"Cached employee profile\" returns it from the provider's copy of LinkedIn, on Cached LinkedIn profiles, which lists the LinkedIn profile plans whose Freshness says a copy. \"Employee email\" finds a person's work email, on Find email. \"Cached employee email\", on the Find cached email sheet, finds a person's work email in the provider's stored data. \"Email validation\" checks whether an address takes mail, on Validate email. On the Cached email validation sheet, \"Cached email validation\" may answer from data the provider keeps, without asking the mail server. \"Employee phone\" finds a person's phone number, on Find phone. \"Cached employee phone\", on the Find cached phone sheet, finds a person's phone number in the provider's stored data. \"Company profile\" returns a company's LinkedIn page, on LinkedIn company profiles. \"Cached company profile\", on the Cached LinkedIn company profiles sheet, returns a company's LinkedIn page from the provider's copy of LinkedIn. \"Company headcount\" counts a company's staff, on its own sheet. \"Cached company headcount\", on the Cached company headcount sheet, counts a company's staff from the provider's stored data. \"Phone validation\" checks whether a phone number is valid, on Validate phone. \"Cached phone validation\", on the Cached phone validation sheet, checks a phone number against data the provider has stored. \"Post comments\" returns the comments on a LinkedIn post, on LinkedIn post comments. \"Post reactions\" returns who reacted to a LinkedIn post and how, on LinkedIn post reactions. \"Employee lookalikes\" returns people similar to the one you send, on Similar people. On the Cached similar people sheet, \"Cached employee lookalikes\" returns similar people from a copy the provider keeps. On the Similar companies sheet, \"Company lookalikes\" returns companies similar to the company you send. On the Cached similar companies sheet, \"Cached company lookalikes\" returns similar companies from a copy the provider keeps. \"Company technologies\" returns the tools a company uses, on its own sheet. \"Cached company technologies\" returns the tools a company uses, from a copy the provider saved earlier. \"Company job count\" counts the jobs a company has open on LinkedIn, on its own sheet. \"Employee posts\" returns a person's LinkedIn posts, on LinkedIn person posts. \"Company posts\" returns a company's LinkedIn posts, on LinkedIn company posts. \"Cached employee posts\" and \"Cached company posts\", on Cached LinkedIn person posts and Cached LinkedIn company posts, return them from the provider's copy of LinkedIn. \"Company funding\" returns a company's funding rounds, on its own sheet. \"Cached company funding\", on the Cached company funding sheet, returns them from the provider's stored data. \"Company jobs\" returns the jobs a company has open, on Company open jobs. On the Cached company open jobs sheet, \"Cached company jobs\" returns a company's open jobs from a copy the provider keeps. \"Employee search\" finds people by job title, company and place, on LinkedIn people search. \"Cached employee search\", on the Cached LinkedIn people search sheet, finds people in the provider's copy of LinkedIn. \"Company search\" finds companies by industry, size and place, on LinkedIn company search. \"Cached company search\" finds companies by industry, size and place in the provider's copy of LinkedIn. It is on the Cached LinkedIn company search sheet. \"Job search\" finds jobs by title, company and place, on LinkedIn job search. \"Cached job search\" finds jobs by title, company and place in a copy of LinkedIn's jobs. It is on the Cached LinkedIn job search sheet. \"Reverse email lookup\" finds the person behind an email, on its own sheet. \"Cached reverse email lookup\" finds who owns an email address in data the provider already holds. It is on the Cached reverse email lookup sheet. \"Post search\" finds posts by keyword, on LinkedIn post search. \"Cached post search\" finds posts by keyword in a copy of LinkedIn posts. It is on the Cached LinkedIn post search sheet. \"Post details\" returns a post from its URL or ID, on LinkedIn post details. \"Job details\" returns a job from its URL or ID, on LinkedIn job details. \"Employee comments\" returns the comments a person left on posts, on LinkedIn person comments. On the Cached LinkedIn person comments sheet, \"Cached employee comments\" returns a person's comments from a copy the provider keeps. \"Employee reactions\" returns the posts a person reacted to, on LinkedIn person reactions. \"Post reposts\" returns the people who reposted a LinkedIn post, on LinkedIn post reposts. \"Employee recommendations\" returns the recommendations on a person's LinkedIn profile, on LinkedIn person recommendations. \"Job lookalikes\" returns jobs similar to the one you send, on Similar jobs. \"Employee articles\" returns a person's LinkedIn articles, on LinkedIn person articles. \"Company enrichment\" returns a company's profile from the provider's own database, on Company enrichment. \"Cached company enrichment\", on the Cached company enrichment sheet, returns a company's profile from the provider's stored data. \"People search\" finds people in the provider's own database. \"Cached people search\", on the Cached people search sheet, finds people in the provider's stored data. \"Company discovery\" finds companies in the provider's own database. \"Cached company discovery\", on the Cached company discovery sheet, finds companies in the provider's stored data. \"Job postings\" finds job postings in the provider's own database. \"Cached job postings\", on the Cached job postings sheet, finds job postings in a copy the provider keeps. \"Job posting details\" returns a job posting from its ID. On the Cached job posting details sheet, \"Cached job posting details\" returns a job posting from a copy the provider keeps. \"Person enrichment\" returns a person's profile. On the Cached person enrichment sheet, \"Cached person enrichment\" returns a person's profile from a copy the provider keeps. \"Leadership changes\" returns the new hires, promotions and departures in a company's senior roles. \"Cached leadership changes\" returns a company's leadership changes from a copy the provider keeps. \"Company hierarchy\" returns a company's parent companies and subsidiaries. Pick an API from the GTM APIs list on the left of the sheet. Pick \"All GTM APIs\" in the GTM APIs list to see every API in one sheet. We name each folder in the zip after its API.","score":"We score each plan out of 100 on five parts: price, data, cost to get started, bundled calls and performance. We score data and performance from our benchmark of the provider's call. Until we benchmark the call, the plan's data, performance and Overall scores are N/A. A plan whose data score is 0 has an Overall score of 0, whatever its other scores. Each API's sheet shows what we measured on each benchmarked plan, in the columns after its price. We rank a plan's price per 1,000 against the price per 1,000 of its API's other scored plans. We score cost to get started and bundled calls on the plan alone. We give N/A to yearly and contact us plans, plans over $500 to start, plans bought on a marketplace and plans that need your own LinkedIn account. A free plan gets N/A unless it has no limit and the provider has no paid plan for that call. Then we score it. Click Score in the sheet's bar to set the five weights. The JSON, datacircle.json and datacircle.csv give each plan's score at the default weights. A plan with N/A has an empty score there. The sheet's CSV has no scores.","Price score":"The plan's price score out of 100. We rank the plan's $ per 1,000 against the $ per 1,000 of the other scored plans of its API. We also count the cost of a call that finds nothing. Some plans give no $ per 1,000. For those plans, when each call returns one result, we use the price our benchmark paid per call. We scale that price by what a credit costs on the plan. We skip our benchmark's price for a plan if another paid plan for the same call lists its own $ per 1,000. Plans for one call can each charge a different price per call. On the sheet, hover over or tap the score to see how we worked it out.","Data score":"The plan's data score out of 100, from our benchmark of its provider's call: how complete the call's answer is, or how often it is right, depending on the API. Until we benchmark the call, the score is N/A, and so is the Overall score. On the sheet, point at the score to see how we scored it. Each API's sheet shows what we measured on each benchmarked plan, in the columns after its price.","Cost to get started score":"The plan's score out of 100 for getting your first result: who can get it, how you pay, and the least you pay before it. On the sheet, point at the score to see why.","Bundle score":"The plan's score out of 100 for the other calls its price gets you, as its pages list them under Also pays for. On the sheet, point at the score to see why.","Performance score":"The plan's performance score out of 100, from our benchmark of its provider's call. We divide the fastest benchmarked provider's median time by this provider's median time. A median under 0.1 s counts as 0.1 s, since the baseline we take off varies by about that much. The Performance score and the Overall score are N/A until we benchmark the call. If the call gave no answer we could time, the Performance score is N/A and the Overall score counts it as 0. The Performance score is N/A if we timed no other call in the same benchmark. The Overall score then leaves Performance out. On the sheet, point at the score to see how we scored it. Each API's sheet shows what we measured on each benchmarked plan, in the columns after its price.","perThousand":"The price of 1,000 companies on this plan, in dollars. It is 0 on a free plan. On a plan that charges by the page, we divide 1,000 by the most companies one page holds. We round that up to whole pages and add up what the pages cost. We leave it blank when the provider doesn't say how many companies a page holds. On a flat fee, we take the most companies the plan allows in one month and multiply by the number of months the fee covers. We divide the fee by that total. Then we multiply by 1,000. We leave it blank when the provider doesn't say how many companies the plan allows. On a flat fee with no cap on companies, the sheet shows \"no limit\", and the CSV and JSON leave it blank. On a waterfall's paid plan, we show the average cost of a call. We take the price of each provider listed under Waterfall. We weight each price by how often a call reaches that provider. We leave it blank when the waterfall doesn't list a hit rate or a page size for a provider a call can reach. On a plan with a Monthly fee, we first subtract one month of the fee from the plan's units. Then we divide the plan's price by the number of companies the remaining units buy. Then we multiply by 1,000. We leave it blank when the Monthly fee uses up all the plan's units. Some plans limit calls per day or per month. If that limit allows fewer companies than the units pay for, we divide the plan's price by the companies the limit allows, and multiply by 1,000. We leave it blank on a top-up, because a top-up buys no fixed number of companies. We also leave it blank when the provider's website doesn't say what a company costs on this plan, or how many companies the plan's price buys.","billing":"How you pay: \"free\", \"on-demand\" (you pay for what you use, with nothing to buy first), \"one-time\" (a pack or a top-up you pay for first, then use), \"contact\" (no public price: you ask the provider for one), or a subscription: \"monthly\", \"quarterly\" (every three months), \"half-yearly\" (every six months) or \"yearly\". The sheet shows \"one-time\" as \"pay first\" and \"on-demand\" as \"pay as you go\".","perMonth":"On a subscription: its price for one month in dollars, its Pay divided by the months it buys (termMonths), 12 on most yearly plans. We work it out for the sheet, to the cent. We leave it out of the sheet's CSV and JSON, and datacircle.json and datacircle.csv have it. Blank (null) on every other plan.","notFoundPerThousand":"Dollars for 1,000 companies the provider can't find. 0 when the provider charges nothing for them, as on free plans. On a waterfall, the cost of a call when no provider finds the answer: the sum of the prices of the providers that charge for a miss.","strengths":"The plan's strengths, which we work out from its row: each one is a band that many plans of its API are in. Each API has its own strengths, listed and explained under Strengths on datacircle.dev/fields, and Validate email, Find phone, Validate phone, LinkedIn company profiles, Company headcount, LinkedIn post comments, LinkedIn post reactions, Similar people, Similar companies, Company technologies, Company job count, LinkedIn person posts, LinkedIn company posts, Company funding, Company open jobs, LinkedIn people search, LinkedIn company search, LinkedIn job search, Reverse email lookup, LinkedIn post search, LinkedIn post details, LinkedIn job details, LinkedIn person comments, LinkedIn person reactions, LinkedIn post reposts, LinkedIn person recommendations, Similar jobs, LinkedIn person articles, Company enrichment, People search, Company discovery, Job postings, Job posting details, Person enrichment, Leadership changes and Company hierarchy have none yet. Cached LinkedIn profiles and Find cached email have the strengths of LinkedIn profiles and Find email, but never \"read live\" or \"found live\". The other cached sheets have none yet. Blank ([] in the JSON) when the plan has none, and we leave Strengths off its page. Under Filters, you see only the rows with every strength you tick.","aggregators":"Aggregators like treg and Deepline sell the row's call. With one aggregator account, you reach many providers. Each cell says what a call costs through the aggregator with your own provider key. It also says what 1,000 companies cost when you pay the aggregator and have no account at the provider: \"treg: your key free, paid $1.50\". We add \"per 1,000 results\" when the aggregator charges per company it finds, and say \"paid, no fixed price\" when the aggregator publishes no price. For an aggregator that charges by the page, we take the largest page size and price the full pages you need for 1,000 results. We write \"paid, page size not stated\" when the aggregator doesn't say how many results a page holds. We write \"listed, how it's sold not stated\" when the aggregator lists the call but doesn't say if you pay the aggregator or use your own key. When the aggregator sells one of the provider's calls without saying which, the cell ends with \"this call or another\", the provider's name and \"call\": \"this call or another Pubrio call\". A cell says \"none\" when no aggregator we checked for the row's API sells the call. A blank cell (null in the JSON) means we haven't checked any aggregator for that API. We skip calls an aggregator doesn't list. In the JSON, each aggregator has these keys. aggregator is its name. url is its page for the call. ownKey is what a call costs there with your own key, or null when you can't use yours. paid is true when you can pay the aggregator. paid and ownKey are both null when the aggregator doesn't say how it sells the call. callStated is false when the aggregator sells this call or another of the provider's and doesn't say which. usd is its price in dollars for one per, or null when it sets no price. perThousand is its price in dollars for 1,000. per is \"call\", \"result\" or \"page\". resultsPerPage is the most results a page holds, or null. So far we have read AnyAPI, Clay, ColdIQ, Databar, Deepline, Monid, Orthogonal, RouterGrowth, treg and Unified.to.","waterfall":"Some routers, like treg's, try one provider after another until one finds the company. On a router's call, the Waterfall column lists each provider the router tries, in order. Each provider shows the router's name for its call in brackets. Then comes its price per 1,000 on this plan, then how often it finds the company. We add \"misses billed\" when the provider charges for a miss. For a provider that charges by the page, we count the full pages that hold 1,000 results at the largest page size, and we write \"page size not stated\" when the provider doesn't say how many results a page holds. The router publishes how often each provider finds a company over all its calls. We assume each provider finds companies at that same rate on the calls the earlier providers miss. We leave the Waterfall column blank on calls with a single provider. In the JSON, each step has these keys. provider is the provider's name. call is the provider's call, which you can also make on its own. perThousand, per and resultsPerPage mean the same as on a plan's row. hitRate is from 0 to 1, or null when the router gives none. missesBilled is true when the provider charges for a miss.","repeatFree":"On a call that costs units: how long you can get a company again free on this plan after you pay for it. On a flat fee with a daily or monthly limit: how long you can get a company again without using up the limit after you first get the company. We copy it from the provider's pages, like \"20 minutes\". \"no limit\" means the provider never charges again for a company you paid for once. \"never\" means the provider says it charges each time you get the company again. Blank when the provider's pages don't say.","per":"The price counts a \"call\" or a \"result\". A call asks for one company. A result is each company a call returns. Some calls return a page of results: a post's comments, reactions or reposts, a person's or company's posts, a person's articles, comments or reactions, a company's open jobs, the people, companies, jobs or posts a search finds, or people, companies or jobs similar to the one you send. \"result\" counts each company on the page. \"page of 50\" counts each page, and you pay for a whole page even when it holds fewer than 50. resultsPerPage is the most companies a page holds. It is null when the price doesn't count pages or the provider doesn't say the page size. \"page, size not stated\" means the provider doesn't say how many companies a page holds.","resultsCap":"For a search API, the most results you can get from one search on this plan, however many pages you ask for. \"no limit\" when the provider says you can get every match. Blank (null in the JSON) when the provider's docs don't say, or when the API isn't a search.","startPerCall":"A fee in dollars you pay once for each call, on top of the price per company, like an Apify Actor's start fee. You pay the same fee for a call of 1,000 companies or a call of one company. We leave this fee out of the $ per 1,000. It is $0.00 on a free plan. It is blank when the plan has no start fee. Some providers' pages give a range, like \"2-3 credits\". When the page gives a range, startPerCall is the lowest fee and startPerCallMax is the highest. The sheet and the CSV show \"$0.04 to $0.06\". startPerCallMax is blank on a plan with one start fee or none.","monthlyFee":"A monthly fee the call needs. The provider takes it from the plan's units. For example, RouterGrowth charges $9.625 a month for each LinkedIn account you connect. monthlyFee is the fee in dollars. monthlyFeePer is what one fee pays for, like \"LinkedIn account\". The Enough for and $ per 1,000 columns count what is left after one month of the fee. Blank (null in the JSON) when the call has no monthly fee.","extras":"Fields that cost more. Each has its fields and its perThousand on top of the row's.","Also pays for":"The other calls you get for the plan's price. Each has its own limit. We use the provider's words. When a plan pays for more than 40 other calls, we write their count instead, like \"300 other calls\". We leave out apps, extensions, MCP servers, proxies and storage, since they are not calls. We also leave out features you can use only in the provider's app, like sending its email campaigns. For example, gtm-api.com's account price also buys 100 searches, 50 messages and 25 connection requests a day. \"nothing\" when you get only the row's call. The row's $ per 1,000 is for that call alone, since providers don't say how to split their price. Blank (null in the JSON) until we read the provider's plan. Also blank on a \"contact\" plan whose pages don't say what its price buys.","overagePerThousand":"On a subscription: dollars for each 1,000 companies you get past the plan's units, when the provider sells extra companies.","addons":"On an email API's subscription: the packs of units the provider sells on top of the plan, as its pricing page lists them. Each has its units, its pay in the plan's currency, when it renews (\"month\" or \"year\" when you pay for it again with the plan, \"never\" when you buy it once), and its perThousand, dollars for 1,000 emails at its price. The sheet's CSV says \"500 credits a month for $10 ($20.00 per 1,000)\". An empty list when the provider sells none. Blank (null) on every other plan.","catchAllPerThousand":"On an email API: dollars for 1,000 calls that return an address at a catch-all domain. Such a domain takes mail for any address, so you can't check whether the person's mailbox exists, and the email may bounce. 0 when they cost nothing, or when the provider returns no such address. The same as the row's $ per 1,000 when the provider charges for any address it finds. Blank when its pages don't say.","bounceRefund":"On an email API: the credit or refund the provider gives when an address it charged you for bounces, and the conditions, in its pages' words, like \"the credit, reported from the dashboard or the API and reviewed\". \"never\" when its pages say a bounced address stays charged. Blank when they don't say.","pitch":"How the provider sells the row's call, quoted from the call's own page, or the provider's own pitch when one page covers all its calls. \"[...]\" marks a cut.","freshness":"How old the answer may be, from the provider's pages. \"live\": the provider reads LinkedIn, the company's website or its job board, or finds or checks the email or phone number, when you call. A plan is \"live\" too when the provider keeps each answer for an hour or less and gives it again to anyone who asks the same question in that time. Renidly keeps each answer for 20 minutes. \"1 month\" or \"30 days\": the provider answers from a copy it refreshes that often. \"as of 2025-11-13\": from a copy last refreshed that day. \"stored\": from a copy the provider's pages don't date. We also mark an email or phone check \"stored\" when it reads only the format, the domain's DNS and the provider's own lists. That check never asks the mail server or the carrier. We leave it blank (null in the JSON) when the provider's pages don't say how fresh the answer is, or don't agree with each other. The cached sheets are Cached LinkedIn profiles, Find cached email, Cached LinkedIn company profiles, Cached company headcount, Cached company enrichment, Cached people search, Cached company discovery, Cached company funding, Cached email validation, Cached LinkedIn people search, Find cached phone, Cached reverse email lookup, Cached LinkedIn job search, Cached LinkedIn company search, Cached LinkedIn post search, Cached company technologies, Cached phone validation, Cached LinkedIn person posts, Cached LinkedIn company posts, Cached job postings, Cached leadership changes, Cached person enrichment, Cached similar people, Cached similar companies, Cached company open jobs, Cached LinkedIn person comments and Cached job posting details. We put a plan on its API's cached sheet when the plan's Freshness says the provider answers from a copy. We put every other plan on its API's own sheet. In brackets, we list the fields whose freshness differs on the provider's pages. fieldFreshness gives each of them its own freshness. Bright Data's LinkedIn profile is \"live (current title, jobs, schools: as of 2025-11-13)\", since LinkedIn put those three behind its login wall and Bright Data serves them from its cache.","history":"How far back the answers reach, on an API whose answers are dated, such as a company's funding rounds or its open jobs. \"since 2016\": back to 2016. \"open only\": only what is open now. \"the last 7 days\": a window that ends today. \"no limit\": every one ever. \", closed only\" after it: the closed ones alone. Blank (null in the JSON) when the provider's pages don't say, or when the answers aren't dated.","keep":"How long the provider's terms let you keep its API's answers. \"no limit\" when they set none. \"no API terms\" when the provider has no API terms.","use":"What the provider's terms let you use its API's answers for, and what they ask in return, like a link back or a credit. \"any\" when they limit nothing and ask nothing. \"no API terms\" when the provider has no API terms.","pay":"The plan's price, in its currency. On a subscription, the price covers the months in termMonths. In the sheet's CSV, we write the months after the price: \"$39.00/month\", \"€99.00/month\" on a plan in euros, or \"$468.00/15 months\" on gtm-api.com's yearly plan. A pack's Pay is its price. A top-up's Pay is the smallest amount you can top up. On a top-up with no minimum from the provider, Pay is blank (null in the JSON). A free plan's Pay is $0.00. On a usage tier, Pay is what you pay each month for your calls below that tier. Each of those calls costs the price of its own tier. Some tiers have a minimum. If your calls below the tier cost less than the minimum, you pay the minimum. When a usage tier sits on a subscription, you also pay the plan's price. Crawlbase has a tier for the next 10M requests. On that tier, Pay is $583: what you pay each month for your calls below it. On Mailgun's Foundation plan, you pay $95 a month for up to 5,000 validations: the $35 plan plus $60 for the validations. On a pay-as-you-go plan, the sheet's Pay column shows Charged.","units":"What the plan gives for its price, counted in unit. On a usage tier, where the tier starts: \"from the 51st call a month\".","calls":"The number of companies you get for the plan's price, counted in per. A call and a result are each one company. On a plan that charges by the page, calls and monthlyCap count pages. calls is the number the plan's units pay for: \"100 calls, once\" for a free trial, \"1,250 results a month\" for an allowance. Some plans limit calls per day or per month. On those plans, calls is the most calls the limit allows before the units renew. This counts each call as one company or one page. A plan with 10,000 requests a month and a limit of 200 calls a day gives you 6,000 calls a month. monthlyCap is for a call that costs 0 units, like a call on a flat fee. monthlyCap is the most companies you get a month, or \"no limit\". On a plan that limits calls per day or per month, monthlyCap is the most calls the limit allows in 30 days: 90,000 for 3,000 calls a day. The Enough for column shows 3,000 calls a day as \"90,000 calls a month\". On a free trial shorter than 30 days, monthlyCap is the most calls the plan allows over the whole trial. The trial gives these calls one time only. A 7-day trial with 1,000 calls a day shows as \"7,000 calls, once\". Enough for shows calls, or monthlyCap when a row has no calls. On a plan with a Monthly fee, calls is the number of calls left after the provider takes one month's fee from the plan's units. We count the calls again each time the provider refills the plan's units. Enough for says \"0 calls left after the monthly fee\" when the fee uses up all the plan's units. Enough for is blank when the provider doesn't say how many companies you get. Enough for is also blank on pay as you go plans, on top-ups, and on subscriptions that charge for each company on top of the fee. Enough for is also blank when a waterfall's average call costs nothing. calls and monthlyCap are null when Enough for is blank.","expires":"When the units you don't use lapse, in the provider's words: \"never\", \"365 days\", \"at renewal: unused credits do not carry over\". Blank when its pages don't say.","perDay":"The most calls a day.","perSecond":"The most calls a second you can keep up. When the provider counts a limit over a longer window, we divide it: a limit per minute by 60, per 5 minutes by 300, per hour by 3,600. When it sets several, we show the tightest: 25 a second and 40 a minute is 0.67. We round it to two decimals, and a rate under 0.1 to two digits past its zeros: 5 an hour is 0.0014.","concurrent":"The most calls running at once, or \"no limit\". \"n/a\" when the provider sets no cap on calls at once but limits them by the second: its \"Per second\" limits you. Blank (null) when the provider's pages don't say.","batch":"The most companies one call takes on this plan. 1 when it takes one at a time. \"no limit\" when the provider says a call takes any number. Blank (null) when a call takes a list and the provider's pages don't say how long.","answer":"The way you get the call's answer. \"in the call\" when the call's response holds the answer. \"by polling or webhook\" when the call returns a job. Once the job is done, you get the answer from another call or at your webhook. \"in the call or by polling\" when the call returns the answer if it is ready in time. If it isn't ready, the call returns a job you check later. An Apify Actor returns a job when it runs past 5 minutes. \"in the call or by webhook\" when you choose in your request. \"by polling\" when only another call gets the answer. \"by webhook\" when only a URL you give gets the answer. Blank (null) when the provider's pages don't say.","latencyMs":"The median time a call takes. If we benchmarked the row's call, we show our benchmark's median, as in its API's benchmark columns: each call's time minus the mean time of three free calls to the same provider before it. If that mean is longer than the call, we use the provider's median baseline, capped at the call's time, so no time is below zero. For other rows, it is the time the provider's pages give, or one we measured when we added the row. Blank (null) when we have neither, or when we benchmarked the call and it gave no answer we could time. Milliseconds in the JSON and datacircle.csv, seconds on the sheet and in its CSV.","send":"What you give the call: a company's domain, name or ID. The call needs the inputs before \"Optional:\". The optional ones come after it, or after a semicolon in the CSV and the JSON.","method":"The call's HTTP method.","path":"We give the path from the provider's docs. When that path fails, we give the path that works. Each plan of a call has the same path. A plan the provider serves at its own address has its own path.","plan":"The plan, as the provider names it on its pricing page.","who":"Who the provider offers the plan to: \"anyone\", or the condition its pages set, like \"anyone with a work email\" or \"on approval of an application\".","readFrom":"The pages we read the row's values from. They are the sheet's last column: click a cell to see each page, or press ⌘C to copy them all."},"billed":{"free":"Free: nothing to pay","on-demand":"Nothing to buy first: you pay as you go","one-time":"You buy credit first, as a pack or any amount you like, then spend it on calls","contact":"No public price: you ask the provider for one","monthly":"A monthly subscription","quarterly":"A quarterly subscription","half-yearly":"A subscription for 6 months","yearly":"A yearly subscription"},"defaults":["No contact us plans","No free plans","No yearly plans","$500 or less to start"],"kept":59,"paid":{"ranked":{"Cached company 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company enrichment|People Data Labs|/v5/company/enrich":{"data":0.2931,"performance":1,"median":100,"measured":43,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-20","2026-10-23"],"row":"People Data Labs"},"Cached company enrichment|LeadIQ|/graphql":{"data":0.1752,"performance":0.9174311926605505,"median":109,"measured":109,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":16,"inputs":20,"fewer":true,"days":["2026-10-20"],"row":"LeadIQ"},"Cached company enrichment|GetProspect|/v2/companies/enrich":{"data":0.3492,"performance":1,"median":100,"measured":24,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"GetProspect"},"Cached company enrichment|Coresignal|/v2/company_multi_source/collect/{company_id}|Collect: Company API":{"data":0.2661,"performance":0.14450867052023122,"median":692,"measured":692,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":13,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"Coresignal"},"Cached company enrichment|Hunter|/companies/find":{"data":0.435,"performance":1,"median":100,"measured":45,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-21","2026-10-24"],"row":"Hunter"},"Cached company enrichment|Prospeo|/enrich-company":{"data":0.2521,"performance":1,"median":100,"measured":78,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"Prospeo"},"Cached company enrichment|Skrapp|/api/v3/companies/enrich|Company enrich":{"data":0.3845,"performance":1,"median":100,"measured":0,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Skrapp, Company enrich"},"Cached company enrichment|Skrapp|/api/v3/companies/snapshot":{"data":0.2734,"performance":1,"median":100,"measured":21,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Skrapp, Company snapshot"},"Cached company enrichment|graph8|/enrichment/lookup/company":{"data":0.1881,"performance":0.9009009009009009,"median":111,"measured":111,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"graph8","charged":{"usd":0.0198,"free":true,"cell":"$0.0198 a company found, nothing when not found","column":"Charged per company","group":"The enrichment call","unitUsd":0.0099}},"Cached company enrichment|AnyAPI|/v1/run/company_identify.crustdata_v3":{"data":0.2463,"performance":null,"median":null,"measured":null,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22"],"row":"AnyAPI, Company Identify - Crustdata v3","untimed":"Nothing to time means the provider's answers came through another provider's call. We timed that other call on a different day, so we can't compare the times."},"Cached company enrichment|AnyAPI|/v1/run/company_enrichment.prospeo":{"data":0.2521,"performance":null,"median":null,"measured":null,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22"],"row":"AnyAPI, Company Enrichment - Prospeo","untimed":"Nothing to time means the provider's answers came through another provider's call. We timed that other call on a different day, so we can't compare the times."},"Cached company enrichment|Mailrook|/v1/enrich/{input}":{"data":0.1011,"performance":0.06097560975609756,"median":1640,"measured":1640,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-23"],"row":"Mailrook"},"Cached company enrichment|Crustdata|/company/enrich":{"data":0.3276,"performance":0.7874015748031497,"median":127,"measured":127,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-23","2026-10-24"],"row":"Crustdata"},"Cached company enrichment|Ocean.io|/v2/enrich/company":{"data":0.4909,"performance":1,"median":100,"measured":87,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Ocean.io"},"Cached company enrichment|Autobound|/v1/companies/enrich":{"data":0.1353,"performance":1,"median":100,"measured":33,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Autobound"},"Cached company enrichment|CompanyEnrich|/companies/enrich|Enrich by domain":{"data":0.5148,"performance":1,"median":100,"measured":28,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-24"],"row":"CompanyEnrich"},"Cached company enrichment|Diffbot|/kg/v3/enhance":{"data":0.3508,"performance":0.43859649122807015,"median":228,"measured":228,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Diffbot"},"Cached company enrichment|JobsPipe|/v1/companies/{key}":{"data":0.0455,"performance":0.08136696501220504,"median":1229,"measured":1229,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"JobsPipe, Company Lookup"},"Cached company enrichment|JobsPipe|/v1/jobs/companies/{key}":{"data":0.0534,"performance":0.05564830272676683,"median":1797,"measured":1797,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"JobsPipe, Company Page"},"Cached company enrichment|Parsers VC|/startups|List startups filtered by domain, name or website":{"data":0.0494,"performance":0.23923444976076555,"median":418,"measured":418,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-24"],"row":"Parsers VC"},"Cached company enrichment|Abstract API|/v2":{"data":0.0531,"performance":1,"median":100,"measured":24,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Abstract API"},"Cached company enrichment|PredictLeads|/companies/{id_or_domain}":{"data":0.2676,"performance":1,"median":100,"measured":22,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"PredictLeads, Get Company"},"Cached company enrichment|PredictLeads|/extended_companies/{id_or_domain}":{"data":0.4325,"performance":1,"median":100,"measured":31,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"PredictLeads, Get Extended Company"},"Cached company enrichment|Extruct|/v1/companies/{company_identifier}":{"data":0.3841,"performance":0.0028072539441917916,"median":35622,"measured":35622,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Extruct","charged":{"usd":0,"free":false,"cell":"$0, free on every plan","column":"Charged per company","group":"The enrichment call","unitUsd":0.098}},"Cached company enrichment|Hirebase|/v2/hirebase/companies/{company_slug}":{"data":0.0359,"performance":0.10460251046025104,"median":956,"measured":956,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Hirebase"},"Cached company enrichment|Anysite|/api/companies/resolve":{"data":0.0897,"performance":0.10384215991692627,"median":963,"measured":963,"fastest":"People Data Labs","fastestMedian":100,"fastestMeasured":43,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Anysite"}},"free":["Cached company enrichment|Data8|/BusinessInformation/GetBusinessFinancials.json|GetBusinessFinancials"]},"alert":true,"bench":{"groups":[{"name":"Time per company profile","note":"On 20, 21, 22, 23, 24 and 25 October 2026, we sent each provider up to 20 companies, all from the same list. Some providers offer two different calls. Some providers got the same company more than once. Time is each call minus a baseline, so the distance to the provider's servers drops out. Each call's time minus its baseline, over our first call on each company, where the provider found it. Where we called the providers again, side by side on the same companies, beside ones we added later, each one called there is timed on that run instead, so those are timed on the same day. Any other later call on the same company isn't timed, since the provider may answer it from what it kept. The baseline is the mean of three free calls to the same provider just before the call, on the same connection. If that mean is longer than the call, we use the provider's median baseline, capped at the call's time, so no time is below zero. Nothing to time means the provider's answers came through another provider's call. We timed that other call on a different day, so we can't compare the times.","columns":[{"name":"Median","kind":"ms","values":{"People Data Labs":43,"LeadIQ":109,"GetProspect":24,"Coresignal":692,"Hunter":45,"Prospeo":78,"Skrapp, Company enrich":0,"Skrapp, Company snapshot":21,"graph8":111,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":1640,"Crustdata":127,"Ocean.io":87,"Autobound":33,"CompanyEnrich":28,"Diffbot":228,"JobsPipe, Company Lookup":1229,"JobsPipe, Company Page":1797,"Parsers VC":418,"Abstract API":24,"PredictLeads, Get Company":22,"PredictLeads, Get Extended Company":31,"Extruct":35622,"Hirebase":956,"Anysite":963}},{"name":"10th percentile","kind":"ms","values":{"People Data Labs":25,"LeadIQ":46,"GetProspect":0,"Coresignal":414,"Hunter":22,"Prospeo":47,"Skrapp, Company enrich":0,"Skrapp, Company snapshot":3,"graph8":27,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":1381,"Crustdata":28,"Ocean.io":35,"Autobound":11,"CompanyEnrich":0,"Diffbot":144,"JobsPipe, Company Lookup":957,"JobsPipe, Company Page":807,"Parsers VC":84,"Abstract API":5,"PredictLeads, Get Company":7,"PredictLeads, Get Extended Company":12,"Extruct":111,"Hirebase":800,"Anysite":799}},{"name":"90th percentile","kind":"ms","values":{"People Data Labs":119,"LeadIQ":575,"GetProspect":114,"Coresignal":1234,"Hunter":71,"Prospeo":105,"Skrapp, Company enrich":52,"Skrapp, Company snapshot":124,"graph8":488,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":2280,"Crustdata":649,"Ocean.io":263,"Autobound":152,"CompanyEnrich":18584,"Diffbot":473,"JobsPipe, Company Lookup":1467,"JobsPipe, Company Page":2956,"Parsers VC":536,"Abstract API":57,"PredictLeads, Get Company":108,"PredictLeads, Get Extended Company":99,"Extruct":50242,"Hirebase":1112,"Anysite":1347}},{"name":"Fastest","kind":"ms","values":{"People Data Labs":23,"LeadIQ":30,"GetProspect":0,"Coresignal":363,"Hunter":5,"Prospeo":29,"Skrapp, Company enrich":0,"Skrapp, Company snapshot":1,"graph8":12,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":1340,"Crustdata":7,"Ocean.io":7,"Autobound":0,"CompanyEnrich":0,"Diffbot":49,"JobsPipe, Company Lookup":855,"JobsPipe, Company Page":658,"Parsers VC":0,"Abstract API":0,"PredictLeads, Get Company":5,"PredictLeads, Get Extended Company":4,"Extruct":37,"Hirebase":761,"Anysite":767}},{"name":"Slowest","kind":"ms","values":{"People Data Labs":129,"LeadIQ":692,"GetProspect":144,"Coresignal":1398,"Hunter":155,"Prospeo":126,"Skrapp, Company enrich":77,"Skrapp, Company snapshot":206,"graph8":538,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":2684,"Crustdata":2015,"Ocean.io":366,"Autobound":229,"CompanyEnrich":20770,"Diffbot":885,"JobsPipe, Company Lookup":1554,"JobsPipe, Company Page":3178,"Parsers VC":565,"Abstract API":66,"PredictLeads, Get Company":373,"PredictLeads, Get Extended Company":156,"Extruct":149721,"Hirebase":1151,"Anysite":1889}},{"name":"Baseline","kind":"ms","values":{"People Data Labs":267,"LeadIQ":433,"GetProspect":383,"Coresignal":415,"Hunter":387,"Prospeo":311,"Skrapp, Company enrich":297,"Skrapp, Company snapshot":269,"graph8":331,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":433,"Crustdata":329,"Ocean.io":438,"Autobound":294,"CompanyEnrich":844,"Diffbot":221,"JobsPipe, Company Lookup":520,"JobsPipe, Company Page":504,"Parsers VC":669,"Abstract API":321,"PredictLeads, Get Company":350,"PredictLeads, Get Extended Company":350,"Extruct":338,"Hirebase":368,"Anysite":290}}]},{"name":"Companies matched","note":"Called: the companies we called each provider on, by their domain. Found: the company whose own website names it. Another company: a company the website doesn't name, which counts as not found. Parts returned: the fields below that its answer held at least once.","columns":[{"name":"Called","kind":"count","values":{"People Data Labs":[20,20],"LeadIQ":[16,20],"GetProspect":[20,20],"Coresignal":[13,20],"Hunter":[20,20],"Prospeo":[20,20],"Skrapp, Company enrich":[20,20],"Skrapp, Company snapshot":[20,20],"graph8":[20,20],"AnyAPI, Company Identify - Crustdata v3":[20,20],"AnyAPI, Company Enrichment - Prospeo":[20,20],"Mailrook":[20,20],"Crustdata":[20,20],"Ocean.io":[20,20],"Autobound":[20,20],"CompanyEnrich":[20,20],"Diffbot":[20,20],"JobsPipe, Company Lookup":[20,20],"JobsPipe, Company Page":[20,20],"Parsers VC":[20,20],"Abstract API":[20,20],"PredictLeads, Get Company":[20,20],"PredictLeads, Get Extended Company":[20,20],"Extruct":[20,20],"Hirebase":[20,20],"Anysite":[20,20]}},{"name":"Found","kind":"count","values":{"People Data Labs":[9,20],"LeadIQ":[4,16],"GetProspect":[11,20],"Coresignal":[4,13],"Hunter":[18,20],"Prospeo":[7,20],"Skrapp, Company enrich":[11,20],"Skrapp, Company snapshot":[11,20],"graph8":[6,20],"AnyAPI, Company Identify - Crustdata v3":[10,20],"AnyAPI, Company Enrichment - Prospeo":[7,20],"Mailrook":[5,20],"Crustdata":[10,20],"Ocean.io":[17,20],"Autobound":[6,20],"CompanyEnrich":[20,20],"Diffbot":[10,20],"JobsPipe, Company Lookup":[4,20],"JobsPipe, Company Page":[4,20],"Parsers VC":[3,20],"Abstract API":[3,20],"PredictLeads, Get Company":[20,20],"PredictLeads, Get Extended Company":[20,20],"Extruct":[20,20],"Hirebase":[2,20],"Anysite":[7,20]}},{"name":"Another company","kind":"count","values":{"People Data Labs":[2,20],"LeadIQ":[0,16],"GetProspect":[0,20],"Coresignal":[1,13],"Hunter":[0,20],"Prospeo":[0,20],"Skrapp, Company enrich":[2,20],"Skrapp, Company snapshot":[2,20],"graph8":[1,20],"AnyAPI, Company Identify - Crustdata v3":[2,20],"AnyAPI, Company Enrichment - Prospeo":[0,20],"Mailrook":[2,20],"Crustdata":[2,20],"Ocean.io":[1,20],"Autobound":[1,20],"CompanyEnrich":[0,20],"Diffbot":[1,20],"JobsPipe, Company Lookup":[0,20],"JobsPipe, Company Page":[0,20],"Parsers VC":[1,20],"Abstract API":[0,20],"PredictLeads, Get Company":[0,20],"PredictLeads, Get Extended Company":[0,20],"Extruct":[0,20],"Hirebase":[0,20],"Anysite":[1,20]}},{"name":"Parts returned","kind":"count","values":{"People Data Labs":[19,28],"LeadIQ":[19,28],"GetProspect":[19,28],"Coresignal":[24,28],"Hunter":[21,28],"Prospeo":[21,28],"Skrapp, Company enrich":[22,28],"Skrapp, Company snapshot":[11,28],"graph8":[15,28],"AnyAPI, Company Identify - Crustdata v3":[10,28],"AnyAPI, Company Enrichment - Prospeo":[21,28],"Mailrook":[13,28],"Crustdata":[18,28],"Ocean.io":[22,28],"Autobound":[10,28],"CompanyEnrich":[21,28],"Diffbot":[22,28],"JobsPipe, Company Lookup":[11,28],"JobsPipe, Company Page":[15,28],"Parsers VC":[11,28],"Abstract API":[13,28],"PredictLeads, Get Company":[10,28],"PredictLeads, Get Extended Company":[21,28],"Extruct":[14,28],"Hirebase":[11,28],"Anysite":[7,28]}}]},{"name":"The enrichment call","note":"The provider's own company enrichment call by domain, with no options, and what one company cost on this run.","columns":[{"name":"Call","kind":"text","values":{"People Data Labs":"GET api.peopledatalabs.com/v5/company/enrich?website=","LeadIQ":"POST api.leadiq.com/graphql searchCompany","GetProspect":"POST api.getprospect.com/v2/companies/enrich","Coresignal":"POST api.coresignal.com/cdapi/v2/company_multi_source/search/es_dsl, then GET its /collect on the first id","Hunter":"GET api.hunter.io/v2/companies/find?domain=","Prospeo":"POST api.prospeo.io/enrich-company","Skrapp, Company enrich":"GET api.skrapp.io/api/v3/companies/enrich?categories=firmographics&domain=","Skrapp, Company snapshot":"GET api.skrapp.io/api/v3/companies/snapshot?domain=","graph8":"POST be.graph8.com/api/v1/enrichment/lookup/company","AnyAPI, Company Identify - Crustdata v3":"POST api.getanyapi.com/v1/run/company_identify.crustdata_v3","AnyAPI, Company Enrichment - Prospeo":"POST api.getanyapi.com/v1/run/company_enrichment.prospeo","Mailrook":"GET api.mailrook.com/v1/enrich/{domain}","Crustdata":"POST api.crustdata.com/company/enrich","Ocean.io":"POST api.ocean.io/v2/enrich/company","Autobound":"POST signals.autobound.ai/v1/companies/enrich, signal_subtypes [\"no-such-subtype\"]","CompanyEnrich":"GET api.companyenrich.com/companies/enrich?domain=","Diffbot":"GET kg.diffbot.com/kg/v3/enhance?type=Organization&nonCanonicalFacts=true&url=","JobsPipe, Company Lookup":"GET api.jobspipe.dev/v1/companies/{domain}","JobsPipe, Company Page":"GET api.jobspipe.dev/v1/companies/{domain}, then GET its /v1/jobs/companies/{key}","Parsers VC":"GET vcapi.parsers.vc/v2/startups?$filter=Domain eq '{domain}'&$top=1&$select=...","Abstract API":"GET companyenrichment.abstractapi.com/v2/?domain=","PredictLeads, Get Company":"GET predictleads.com/api/v3/companies/{domain}","PredictLeads, Get Extended Company":"GET predictleads.com/api/v3/extended_companies/{domain}","Extruct":"GET api.extruct.ai/v1/companies/{domain}, the same lookup asked again while it answers 202 \"enriching\"","Hirebase":"POST api.hirebase.org/v2/hirebase/companies/search, then GET its /v2/hirebase/companies/{slug} on the company it names","Anysite":"POST api.anysite.io/api/companies/resolve (the domain in website, count 1)"}},{"name":"Charged per company","kind":"text","values":{"People Data Labs":"$0.1, nothing when not found","LeadIQ":"$0.3, nothing when not found","GetProspect":"$0, free on every plan","Coresignal":"$0 for the search, then $0.392 a company collected","Hunter":"$0.0012 a company, 1 search counted for its 20 (24 used before, 25 after)","Prospeo":"$0.0245 a company found, nothing on NO_MATCH","Skrapp, Company enrich":"$0.007 a company returned, nothing when not found","Skrapp, Company snapshot":"$0, free on every plan","graph8":"$0.0198 a company found, nothing when not found","AnyAPI, Company Identify - Crustdata v3":"$0.001, nothing when not found","AnyAPI, Company Enrichment - Prospeo":"$0.066, found or not","Mailrook":"$0.0077, found or not","Crustdata":"no paid plan listed","Ocean.io":"$0.005 a company found, nothing when not found","Autobound":"$0.01 a company it knows with no signal (its profile alone), nothing when its signal filter removes the signals it has, nothing when not found","CompanyEnrich":"$0.0098 a company. What a miss costs isn't known: it found all 20 companies we called","Diffbot":"$0.0299 a match. What a miss costs isn't known: no balance was read after the run","JobsPipe, Company Lookup":"$0.002 a company returned, nothing when not found","JobsPipe, Company Page":"$0.0039 a company with a page (its lookup and its page), $0.002 when the lookup gives no key (its lookup alone), nothing when not found","Parsers VC":"$0.0095 a call. What a miss costs isn't read: no balance was read after the run","Abstract API":"$0.0016, found or not","PredictLeads, Get Company":"$0.04 a company. What a miss costs isn't known: it found all 20 companies we called","PredictLeads, Get Extended Company":"$0.08 a company. What a miss costs isn't known: it found all 20 companies we called","Extruct":"$0, free on every plan","Hirebase":"$0.05 a company found (its search's 1 and its record's 1), nothing on an empty search","Anysite":"$0.1307 a company found. Some misses are free and others cost the same as a hit. The x-credits-charged header in the answer tells you if a miss was charged."}}]},{"name":"Lists","note":"Items the answers held, out of the highest count in any answer. Not in the answer means the call has no such field.","columns":[{"name":"Specialties","kind":"count","values":{"People Data Labs":[38,183],"LeadIQ":[17,119],"GetProspect":[44,183],"Coresignal":[36,91],"Hunter":[74,183],"Prospeo":[45,183],"Skrapp, Company enrich":[51,183],"Skrapp, Company snapshot":null,"graph8":null,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":[45,183],"Mailrook":null,"Crustdata":[30,183],"Ocean.io":null,"Autobound":null,"CompanyEnrich":null,"Diffbot":[115,183],"JobsPipe, Company Lookup":null,"JobsPipe, Company Page":null,"Parsers VC":null,"Abstract API":null,"PredictLeads, Get Company":null,"PredictLeads, Get Extended Company":[43,183],"Extruct":null,"Hirebase":null,"Anysite":null}},{"name":"Offices","kind":"count","values":{"People Data Labs":null,"LeadIQ":[3,28],"GetProspect":[6,36],"Coresignal":[3,23],"Hunter":null,"Prospeo":null,"Skrapp, Company enrich":[12,36],"Skrapp, Company snapshot":null,"graph8":null,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":null,"Crustdata":[3,36],"Ocean.io":[14,36],"Autobound":null,"CompanyEnrich":null,"Diffbot":[24,36],"JobsPipe, Company Lookup":null,"JobsPipe, Company Page":[1,36],"Parsers VC":null,"Abstract API":null,"PredictLeads, Get Company":[13,36],"PredictLeads, Get Extended Company":[13,36],"Extruct":null,"Hirebase":null,"Anysite":null}}]},{"name":"The company","note":"Companies where the answer held this field, out of the companies where any answer held it. A value that differs from most other answers doesn't count. Not in the answer means the call has no such field.","columns":[{"name":"Name","kind":"count","values":{"People Data Labs":[9,20],"LeadIQ":[4,16],"GetProspect":[11,20],"Coresignal":[4,13],"Hunter":[18,20],"Prospeo":[7,20],"Skrapp, Company enrich":[11,20],"Skrapp, Company snapshot":[11,20],"graph8":[6,20],"AnyAPI, Company Identify - Crustdata v3":[10,20],"AnyAPI, Company Enrichment - Prospeo":[7,20],"Mailrook":[5,20],"Crustdata":[10,20],"Ocean.io":[17,20],"Autobound":[6,20],"CompanyEnrich":[20,20],"Diffbot":[10,20],"JobsPipe, Company Lookup":[4,20],"JobsPipe, Company Page":[4,20],"Parsers VC":[3,20],"Abstract API":[3,20],"PredictLeads, Get Company":[20,20],"PredictLeads, Get Extended Company":[20,20],"Extruct":[20,20],"Hirebase":[2,20],"Anysite":[7,20]}},{"name":"Other names","kind":"count","values":{"People Data Labs":[1,12],"LeadIQ":[0,10],"GetProspect":null,"Coresignal":[1,7],"Hunter":[0,12],"Prospeo":null,"Skrapp, Company enrich":[3,12],"Skrapp, Company snapshot":null,"graph8":null,"AnyAPI, Company Identify - Crustdata v3":null,"AnyAPI, Company Enrichment - Prospeo":null,"Mailrook":null,"Crustdata":null,"Ocean.io":[3,12],"Autobound":null,"CompanyEnrich":[12,12],"Diffbot":[5,12],"JobsPipe, Company Lookup":null,"JobsPipe, Company Page":[0,12],"Parsers VC":null,"Abstract API":null,"PredictLeads, Get Company":[3,12],"PredictLeads, Get Extended Company":[3,12],"Extruct":null,"Hirebase":[1,12],"Anysite":null}},{"name":"Website","kind":"count","values":{"People Data Labs":[8,20],"LeadIQ":[4,16],"GetProspect":[11,20],"Coresignal":[4,13],"Hunter":[18,20],"Prospeo":[7,20],"Skrapp, Company enrich":[11,20],"Skrapp, Company snapshot":[11,20],"graph8":[6,20],"AnyAPI, Company Identify - Crustdata v3":[10,20],"AnyAPI, Company Enrichment - Prospeo":[7,20],"Mailrook":[5,20],"Crustdata":[10,20],"Ocean.io":[17,20],"Autobound":[6,20],"CompanyEnrich":[20,20],"Diffbot":[10,20],"JobsPipe, Company Lookup":[4,20],"JobsPipe, Company Page":[4,20],"Parsers VC":[3,20],"Abstract API":[3,20],"PredictLeads, Get Company":[20,20],"PredictLeads, Get Extended Company":[20,20],"Extruct":[20,20],"Hirebase":[2,20],"Anysite":[7,20]}},{"name":"Description","kind":"count","values":{"People Data Labs":[7,20],"LeadIQ":[4,16],"GetProspect":[11,20],"Coresignal":[4,13],"Hunter":[18,20],"Prospeo":[7,20],"Skrapp, Company enrich":[10,20],"Skrapp, Company snapshot":null,"graph8":[6,20],"AnyAPI, Company Identify - 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