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Remove or modify any copyright, trademark, legal notices, or other proprietary notices from the Content, Services, Platform, API or Platform Data or any other content available on the Site; remove, disable, or otherwise create or implement any workaround to, any security features, rate limit of the Content and Services, Platform or API. use the Content and Services, the Platform or the API in any way that causes, or may cause, damage to the Content and Services, Platform or impairment of the availability or accessibility of the Platform or to any third party. conduct any systematic or automated data collection activities (including without limitation scraping, data mining, data extraction, and data harvesting) on or in relation to the Content and Services. develop, support, or use software, devices, scripts, robots, or any other means or processes (including crawlers, browser plugins and add-ons or any other technology) to scrape the Explorium web site, Content and Services. and will not allow anyone else to use the Content and Services, the Platform, API, or Platform Data for decisions about any individual’s suitability for: (i) credit or loans; (ii) insurance; (iii) employment; (iv) a license or other benefit granted by a governmental authority, where such decision involves considering one’s financial responsibility or status; (v) housing; or (vi) any eligibility or other determinations that would cause the Platform or Platform Data to be deemed a consumer report for purposes of the Fair Credit Reporting Act. use or allow any third party to use the Content and Services, the Platform, API, or Platform Data will not be used to send unsolicited emails, false advertising, place unsolicited calls or any other action by or on behalf of Customer that may be considered spam or otherwise in violation of CAN-SPAM or related regulations. For clarity, this does not prohibit You from engaging in communications that are otherwise permissible. [...] You may use the Content, API, Platform Data and Service for lawful purposes only.","plan":"Starter","who":"anyone 18 or over, not a direct competitor of Explorium","billing":"one-time","charged":null,"topUp":false,"pay":149.99,"currency":"USD","exchangeRate":1,"termMonths":null,"from":null,"graduated":null,"units":5000,"unit":"credit","renews":"never","expires":"12 months","costUnits":5,"calls":1000,"monthlyCap":null,"perThousand":50,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":["Generate","Enrichments","Events"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"page","resultsPerPage":3,"resultsCap":null,"perDay":null,"perSecond":3.33,"concurrent":null,"batch":50,"answer":"in the call","latencyMs":null,"call":"Lookalikes","method":"POST","path":"/v2/businesses/lookalikes/enrich","send":"one of business_ids or businesses_to_match; request_context, parameters, credit-usage","fields":["business ID","lookalike business ID","lookalike business name","lookalike website","lookalike description","lookalike number of employees range","lookalike revenue range","lookalike NAICS description","lookalike country","similarity score","request ID","request status","time taken in seconds","total results","total matches","credits consumed","results billed"]},{"provider":"Findymail","api":"Company lookalikes","website":"https://www.findymail.com","pricingPage":"https://www.findymail.com/pricing/","pitch":"Find companies similar to a given seed domain.","strengths":[],"aggregators":[{"aggregator":"ColdIQ","url":"https://coldiq.com/marketplace/docs/endpoint?method=post&path=%2Fv1%2Ffindymail%2Flookalike%2Fsearch&format=markdown","ownKey":null,"paid":true,"perThousand":5.0914,"usd":0.0050914,"per":"result","resultsPerPage":null,"callStated":true},{"aggregator":"Deepline","url":"https://deepline.com/integrations/findymail","ownKey":null,"paid":true,"perThousand":null,"usd":null,"per":"page","resultsPerPage":null,"callStated":true},{"aggregator":"Orthogonal","url":"https://orthogonal.com/discover/findymail","ownKey":null,"paid":true,"perThousand":7,"usd":0.07,"per":"page","resultsPerPage":10,"callStated":true},{"aggregator":"treg","url":"https://treg.to/catalog/endpoints/findymail.lookalike.search","ownKey":"free","paid":true,"perThousand":1.98,"usd":0.00198,"per":"result","resultsPerPage":null,"callStated":true}],"freshness":null,"fieldFreshness":null,"history":null,"keep":"no limit","use":"You will use the Subscription Service for your internal business purposes and will not: [...] (vi) lease, distribute, license, sell or otherwise commercially exploit the Subscription Service or make the Subscription Service available to a third party other than as contemplated in your subscription to the Subscription Service; (vii) use the Subscription Service for timesharing or service bureau purposes or otherwise for the benefit of a third party; or (viii) provide to third parties any evaluation version of the Subscription Service without our prior written consent. [...] you may not (directly or indirectly) use the Subscription Service in a manner that: [...] harvests or otherwise collects information about others, including e-mail addresses, without their consent; [...] is in violation of any applicable local, state, national or international law or regulation, including [...] the Controlling the Assault of Non-Solicited Pornography and Marketing Act (CAN-SPAM Act) [...], the U.S Telephone Consumer Protection Act of 1991 [...], [...] the General Data Protection Regulation (2016/679) [...]. [...] You agree not to copy, rent, lease, sell, distribute, frame, mirror, or create derivative works based on the Subscription Service, or the Consulting Services in whole or in part, by any means, except as expressly authorized in writing by us. [...] YOU AGREE NOT TO USE THE SUBSCRIPTION SERVICE TO COLLECT, MANAGE OR PROCESS SENSITIVE INFORMATION. [...] Our standard terms do not allow resale, but reselling Findymail inside your own product (calling the API from a single account and billing your customers with your own credits) is possible under an API Use Agreement, which is an addition to our standard T&C. [...] operating one subscription and a single API key from a central server that sends requests on behalf of your own end users is permitted. [...] usage-based plans are for use within your own team only.","plan":"Business Plus","who":"anyone 18 or over","billing":"monthly","charged":null,"topUp":null,"pay":399,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":30000,"unit":"credit","renews":"month","expires":"rolled over while subscribed, up to a balance of twice the monthly credits; reset to 0 at the end of the billing period after cancelling","costUnits":0.1,"calls":300000,"monthlyCap":null,"perThousand":1.33,"waterfall":null,"listPerThousand":null,"overagePerThousand":5,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":["Verifier Credits"],"sharesBudgetWith":["Find from name","Find from business profile","Reverse email lookup","Intellimatch","Get company information","Find employees","Find phone","Lookup technologies by domain","Bulk finder","Signals"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"result","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":null,"concurrent":300,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"POST","path":"/api/lookalike/search","send":"seed; same_country, same_size, limit, exclusion_list_ids","fields":["domain","name","LinkedIn URL","employee range","country","result count","credits used","message"]},{"provider":"Hunter","api":"Company lookalikes","website":"https://hunter.io","pricingPage":"https://hunter.io/pricing","pitch":"Finds companies that look like the ones in one of your company lists, or like one company given by its domain.","strengths":[],"aggregators":[],"freshness":null,"fieldFreshness":null,"history":null,"keep":"Data minimization: not storing data beyond what is needed for the stated purpose.","use":"Data accessed through Hunter may be used for the following purposes: B2B outreach and prospecting: identifying and contacting relevant professional contacts at target companies for legitimate business purposes, sales, marketing, partnership, or recruitment, where the individual is being contacted in their professional capacity. [...] CRM enrichment: verifying or enriching a company’s existing B2B contact database, where the individuals are professional contacts with whom a business relationship is sought or maintained. [...] Internal research and analysis: internal analysis of company-level contact patterns for legitimate business intelligence purposes. This does not extend to bulk export of individual-level personal data for redistribution, resale, or use outside the permitted purposes in this section. [...] API integration and testing: technical integration and testing of the API using test accounts and non-production data environments. [...] The following uses are prohibited under Hunter’s Terms of Service and, in many cases, applicable law. Sending unsolicited bulk commercial email using Hunter data, in violation of CAN-SPAM, CASL, the EU ePrivacy Directive, or equivalent applicable law. [...] Contacting individuals in a harassing, threatening, or abusive manner; facilitating stalking, doxing, or targeted harassment campaigns; sharing Hunter data in contexts designed to expose individuals to harm, ridicule, or unwanted public attention. [...] Processing Hunter data in violation of applicable data protection law; combining Hunter data with special category data to build legally non-compliant profiles; sharing or reselling Hunter data to third parties without prior written authorization from Hunter. [...] Using Hunter data for political campaigning, voter outreach, or micro-targeting based on inferred political opinions. [...] Using Hunter-sourced email addresses for credential stuffing, phishing, account compromise, or social engineering attacks. [...] Contacting individuals as private consumers rather than in a professional B2B context. Hunter’s database is limited to professional contact data and must not be used for B2C marketing. [...] Using Hunter data as the sole input to automated mass outreach sequences with no individualized relevance or genuine business purpose, i.e. spam with a company name attached. 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[...] Within ten (10) business days after a Suppression Notice, or any shorter period required by law, you will stop using, and delete or permanently suppress from your systems and from any system you control or that holds the data on your behalf, the data identified in the Suppression Notice [...] The license ends when the organization subscription ends. [...] In addition to the restrictions in Section 7, you may not: [...] Store, cache, warehouse, or compile LeadMagic Data or API results into a database for the purpose of serving subsequent requests without re-querying the Services and consuming Credits (temporary caching solely as needed to deliver a single transaction response is permitted) [...] On termination or expiration: [...] (e) you must cease using LeadMagic Data obtained through the Services where required by these Terms, the Data Use Policy, or applicable law, and must not continue to operate a competing database built from LeadMagic Data.","use":"Unless a written Enterprise agreement or order form signed by LeadMagic expressly grants broader rights, you may use LeadMagic outputs only for your own internal business purposes, including B2B sales, marketing, analytics, account research, enrichment, verification, and CRM maintenance. [...] Self-serve plans do not include redistribution or embedded/commercial rights. You may share outputs with your employees, contractors, and service providers only as reasonably necessary for your internal business use and only if they are bound by confidentiality and use restrictions at least as protective as these terms. You may not serve, display, or embed outputs for your clients or end users unless that signed agreement expressly allows it. [...] LeadMagic outputs are not consumer reports and may not be used to determine a person's eligibility for credit, insurance, employment, housing, lending, tenant screening, education, healthcare, criminal justice, government benefits, or any other purpose regulated by the Fair Credit Reporting Act or similar laws. [...] You may not sell, resell, publish, sublicense, syndicate, transfer, disclose, or redistribute LeadMagic data, enrichment outputs, exports, API responses, or derived datasets except as expressly permitted in a written Enterprise agreement or order form signed by LeadMagic. [...] You may not use the Services to build, train, benchmark, enhance, or operate a competing product, data broker service, enrichment service, people-search service, jobs-search service, or lead database. You may not train, fine-tune, or improve machine-learning models on LeadMagic data or outputs except for models used solely inside your organization that do not create a competing contact database or substitute for the Services. [...] Internal use means use by your employees, contractors, and service providers acting solely on your behalf, bound by confidentiality and use restrictions at least as protective as these Terms, for your own sales, marketing, recruiting, research, CRM, and go-to-market operations. Using results to contact prospects yourself is internal use. Showing those results to your clients or end users, or letting them search LeadMagic data through your product, is not. [...] You will keep records reasonably sufficient to demonstrate your compliance with this Section 6 and Section 7 (including records of consent to call or text, do-not-call scrubbing, opt-outs, and suppression) for at least four (4) years after the related activity, or any longer period required by law. [...] You are specifically prohibited from: [...] Publishing, listing, displaying, or making searchable any mobile or other telephone number, personal email address, or other personal data obtained through the Services in any public, searchable, or commercial directory, people-search site, lead marketplace, list product, or database offered or made available to third parties, without both LeadMagic's prior written authorization and every consent or other legal basis that applicable law requires [...] Using the Services or outputs to operate or supply a people-search, background-check, or consumer-facing lookup service [...] Requesting, using, or retaining Restricted Data contrary to LeadMagic's designation under Section 6.8, or using the Services to target residents of any jurisdiction LeadMagic has designated as restricted [...] Contacting, or providing data to anyone who contacts, a person who has opted out, asked to be deleted, or is the subject of a Suppression Notice, or using LeadMagic data to evade or re-populate a suppression, opt-out, or do-not-call list [...] Calling or texting any person without the consent and other conditions applicable law requires (Section 6.4) [...] Using the Services for personal, family, or household purposes","plan":"Professional","who":"businesses and individuals acting in a business or professional capacity, with an active organization subscription, users 18 or over","billing":"monthly","charged":null,"topUp":null,"pay":499,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":50000,"unit":"credit","renews":"month","expires":"total wallet capped at 2× the monthly allotment, excess usable until its displayed expiry date; 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[...] When You use the Leadsforge API, You shall be responsible for your usage of the Leadsforge platform and shall limit your API calls to a reasonable volume. [...] You are not entitled to send via our Services promotional emails for a third-party, nor to assign the use of all or part of the Services to your own customers, even for free; As an indirect Leadsforge subscriber, You subscribe to the Services in Your name but on behalf of your own clients with the objective of managing and/or reselling Leadsforge to your clients. [...] You (i) shall comply with all laws and regulations in force that are applicable in any country from which You access the Website and/or use the Service, as well as in any country to which You send emails","plan":"Essential Plan + Extra credits (50,000/mo)","who":"professional use only, not minors under 18","billing":"monthly","charged":null,"topUp":null,"pay":429,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":50000,"unit":"credit","renews":"month","expires":"never","costUnits":1,"calls":50000,"monthlyCap":null,"perThousand":8.58,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":["Find email (synchronous)","Find emails","Find phone number (synchronous)","Find phone numbers","Find linkedin profiles","Search company followers","Search local businesses on Google Maps","Enrich owners of local businesses"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"result","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":null,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"POST","path":"/lookalikes/search","send":"domains; 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company","input max items","input start page","Instagram URL","interpreted search","investments count","investor deal size maximum","investor deal size minimum","investor rank","investor stages","investor types","is hiring","job ID","keywords","kind","last funding amount","last funding date","last funding type","last round date","latitude","lead investors","legal type","limit applied","limit clamped","LinkedIn claimed","LinkedIn employee count","LinkedIn followers","location","location city","location country code","location region","location role","location state code","logo URL","longitude","lookalike business ID","lookalike business name","lookalike country","lookalike description","lookalike NAICS description","lookalike number of employees range","lookalike revenue range","lookalike website","marketing automation technologies","martech technologies","matches","maximum employees","maximum revenue","minimum employees","minimum revenue","monthly web visits","NAICS code","NAICS description","next cursor","next offset","offset","open job count","ownership","page","page count","partial","patents count","phone","points charged","portfolio companies","portfolio exits count","portfolio exits percentage","portfolio exits total value","portfolio match companies count","portfolio match invested","portfolio rounds count","portfolio total valuation","predicted NAICS 2022 code","preferred round","preview","processing time in milliseconds","profile completeness score","provider record ID","proxy traffic bytes","query name","query path","rank","reference company","replayed","request status","requested limit","results billed","results on page","results returned","returned count","revenue year","RNAICS code","RNAICS description","RNAICS score","roles","RSIC code","RSIC description","RSIC score","RTIC code","RTIC description","RTIC score","RTIC words matched","sales automation technologies","search ID","search parameters","sectors","seed domain","serving source","session ID","short description","SIC description","signal rating","similarity","source company ID","specialties","status URL","subtype","table columns created","table credits charged","table ID","table rows added","table rows already paid","table rows already present","table rows charged","table rows processed","tagline","taxonomy","taxonomy type","time taken in seconds","total contacts","total invested","total matches","total pages","total words processed","Twitter URL","type","unicorn type","updated at","URL","valid email count","valuation","valuation month","valuation year","VC funding","web visits 3-month growth","website active","website for sale","website sent"]},"same":["api","strengths","resultsCap","monthlyFee","extras","addons","catchAllPerThousand","bounceRefund","history"],"facets":["defaults","provider","price","fields","billing","who","freshness","use","answer","paysFor"],"ties":{"Company lookalikes":{"tied":["EnvoAPI, $499 monthly","EnvoAPI, $499 monthly, Scale","Explorium, $149.99 pack","Explorium, $149.99 pack, Starter","LeadMagic, $499 monthly","LeadMagic, $499 monthly, Professional"],"movedPages":{},"canonicals":{"Bytemine":"pay-as-you-go","Cleanlist":"89-monthly","Derrick":"47-50-monthly","Edges":"free","EnvoAPI":"free-free-get-v1-companies-similar-by-slug","Explorium":"free-trial-post-v2-businesses-lookalikes-enrich","Findymail":"free","Hunter":"free","InsightSocial":"free","LeadMagic\nPOST /v3/companies/lookalike":"99-monthly-essential-post-v3-companies-lookalike","LeadMagic":"99-monthly-essential-post-v1-companies-competitors-search","Leadsforge":"free","Lusha":"free","NeuralVerge":"50-monthly","NinjaPear":"free","pipe0":"top-up-from-10","Pipecorn":"49-monthly","Renidly":"free","Social Fetch":"free","SocialCrawl":"free","The Data City":"free","treg":"free","Zooq":"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, pipe0, RouterGrowth and treg.","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 subscription for 12, 14 or 15 months"},"defaults":["Ignore RapidAPI and Apify","Ignore plans that need your LinkedIn","No contact us plans","No free plans","No yearly plans","$500 or less to start"],"kept":23,"paid":{"ranked":{"Company lookalikes":[0.0998,0.0998,0.149,0.149,0.1495,0.1495,0.198,0.198,0.245,0.245,0.29,0.29,0.3096,0.3236,0.339,0.356,0.499,0.6225,0.99,1,1,1,1,1.33,1.66,1.8005,1.9693,1.98,2.1381,4.9,8.58,8.76,9.3125,11.125,14.9,18.9,23.92,24.5,24.5,27.9,32.985,39.2,39.9,41.235,47.9985,49.485,49.5,50,50,52.7983,65.985,100,100,119.9041]},"bench":{"Company lookalikes|LeadMagic|/v3/companies/lookalike":{"data":0.39,"performance":1,"median":5081,"measured":5081,"fastest":"LeadMagic, Find Lookalike Companies","fastestMedian":5081,"fastestMeasured":5081,"called":20,"inputs":20,"fewer":false,"days":["2026-10-20"],"row":"LeadMagic, Find Lookalike Companies"},"Company lookalikes|LeadMagic|/v1/companies/competitors-search":{"data":0.0564,"performance":0.4779868297271872,"median":10630,"measured":10630,"fastest":"LeadMagic, Find Lookalike Companies","fastestMedian":5081,"fastestMeasured":5081,"called":20,"inputs":20,"fewer":false,"days":["2026-10-20"],"row":"LeadMagic, Find Competitors"}},"left":{"Company lookalikes|treg|/call/treg.companies.similar":{"kind":"copy","both":false}}},"alert":true,"bench":{"groups":[{"name":"Similar companies checked","note":"We called each provider's calls once on the same 20 companies, on 20 October 2026. Time is each call minus a baseline, so the distance to the provider's servers drops out. We asked for 10 similar companies for each company we gave, and counted the first 10 from a call that takes no count. We read each one's LinkedIn page. Same industry: its page shows the industry of the company we gave. Another industry: it shows another. Not confirmed: we couldn't judge the company. Our read of its LinkedIn page failed twice. Or its page shows no industry. Or the call gave only its name and two companies with that name came up. No page: there is no LinkedIn page to read. The link the call gave is gone. Or the call gave no link and we found no LinkedIn page for the company's name or website. Or the call gave only its name and no company with that name came up. The Data score leaves out Not confirmed companies and counts No page companies as wrong.","columns":[{"name":"Returned","kind":"count","values":{"LeadMagic, Find Lookalike Companies":[150,200],"LeadMagic, Find Competitors":[32,200]}},{"name":"Same industry","kind":"count","values":{"LeadMagic, Find Lookalike Companies":[78,200],"LeadMagic, Find Competitors":[11,200]}},{"name":"Another industry","kind":"count","values":{"LeadMagic, Find Lookalike Companies":[68,200],"LeadMagic, Find Competitors":[12,200]}},{"name":"Not confirmed","kind":"count","values":{"LeadMagic, Find Lookalike Companies":[0,200],"LeadMagic, Find Competitors":[5,200]}},{"name":"No page","kind":"count","values":{"LeadMagic, Find Lookalike Companies":[4,200],"LeadMagic, Find Competitors":[4,200]}}]},{"name":"Time per company","note":"Each call's time minus its baseline, over the companies where our check confirmed at least one thing the call returned: a call that got nothing right there isn't timed, however fast it came. 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 our check confirmed nothing the call returned.","columns":[{"name":"Median","kind":"ms","values":{"LeadMagic, Find Lookalike Companies":5081,"LeadMagic, Find Competitors":10630}},{"name":"10th percentile","kind":"ms","values":{"LeadMagic, Find Lookalike Companies":3313,"LeadMagic, Find Competitors":5088}},{"name":"90th percentile","kind":"ms","values":{"LeadMagic, Find Lookalike Companies":11230,"LeadMagic, Find Competitors":13503}},{"name":"Fastest","kind":"ms","values":{"LeadMagic, Find Lookalike Companies":2970,"LeadMagic, Find Competitors":1987}},{"name":"Slowest","kind":"ms","values":{"LeadMagic, Find Lookalike Companies":12731,"LeadMagic, Find Competitors":14340}},{"name":"Baseline","kind":"ms","values":{"LeadMagic, Find Lookalike Companies":149,"LeadMagic, Find Competitors":156}}]},{"name":"The similar companies call","note":"The provider's own similar companies call, by the company's domain, and what one company cost on this run.","columns":[{"name":"Call","kind":"text","values":{"LeadMagic, Find Lookalike Companies":"POST api.leadmagic.io/v3/companies/lookalike","LeadMagic, Find Competitors":"POST api.leadmagic.io/v1/companies/competitors-search"}},{"name":"Charged per company","kind":"text","values":{"LeadMagic, Find Lookalike Companies":"$0.099, nothing when none found","LeadMagic, Find Competitors":"$0.099, nothing when none found"}}]}],"inputs":{"said":"The 20 companies we called, as each provider's call took them.","keys":["domain","linkedin"],"rows":[["relanto.ai","https://www.linkedin.com/company/relanto-inc/"],["veterinaryjobsmarketplace.com","https://www.linkedin.com/company/veterinary-jobs-marketplace/"],["jobbol.com.br","https://www.linkedin.com/company/jobbol-empregos/"],["datascienceacademy.com.br","https://www.linkedin.com/company/data-science-academy/"],["bit.ly","https://www.linkedin.com/company/coursera/"],["interiorarchitects.com","https://www.linkedin.com/company/ia-interior-architects/"],["simonsinek.com","https://www.linkedin.com/company/simon-sinek/"],["confluent.io","https://www.linkedin.com/company/confluent/"],["mozilla.org","https://www.linkedin.com/company/mozilla-corporation/"],["sirion.ai","https://www.linkedin.com/company/sirionclm/"],["launchmaps.com","https://www.linkedin.com/company/launchmaps/"],["bit.ly","https://www.linkedin.com/company/freyrsolutions/"],["eventbrite.com","https://www.linkedin.com/company/eventbrite/"],["huxley.com","https://www.linkedin.com/company/huxley/"],["ngorecruitment.com","https://www.linkedin.com/company/ngo-recruitment/"],["hig.com","https://www.linkedin.com/company/h-i-g--capital/"],["to.dbn.to","https://www.linkedin.com/company/databento/"],["carnegieendowment.org","https://www.linkedin.com/company/carnegieendowment/"],["project44.com","https://www.linkedin.com/company/project-44/"],["mt-bytes.io","https://www.linkedin.com/company/mtbytes/"]]}},"more":"/assets/sheet-mYAwE_aV.json"}