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[...] You may not: resell, sublicense, distribute, transfer, share, reproduce, duplicate, copy, or otherwise exploit the Content and Services, Platform Data, API and any predictive models or derived insights or data analysis obtained by use of the Platform, other than your internal business purposes. translate, disassemble, decompile or reverse-engineer in whole or in part the Content and Services, Platform, API or Platform Data or seek to reconstruct or discover source code, object code, HTML, Javascript, other code, know-how or algorithms associated with the API and Platform Data. use the Content and Services, Platform Data or API in any way that is unlawful, illegal, discriminatory, abusive, fraudulent or harmful, and in non-compliance with any applicable laws, including without limitation any applicable privacy regulation nor shall it assist or allow others to do so. 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. 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[...] You may not: [...] (ii) Share, sell, or resell any Seamless.AI data to third parties; and/or (iii) Use API data for user profiling, segmentation, or advertising without applicable consent. [...] You agree to access, use, disclose, retain and otherwise process Seamless.AI Data only for the purpose of supporting business-to-business (“B2B”) development opportunities, including for identifying and researching prospective or existing B2B sales, marketing or recruiting opportunities for your business (collectively, the “Permitted Purposes”) and only as otherwise permitted by these Terms. [...] You are strictly forbidden from accessing, using or otherwise processing Seamless.AI Data: For your personal, family or household purposes, or in connection with any non-B2B customers or prospects; In any unlawful, biased, fraudulent or discriminatory manner or for purposes of tracking, profiling or surveilling individuals; To send fraudulent or unlawful communications to individuals or entities; or To sell, rent, license, release, disclose, distribute, disseminate, sublicense, transfer, or otherwise make available, in whole or in part, any Seamless.AI Data to a third party for monetary or other valuable consideration, or otherwise incorporate any portion of Seamless.AI Data into your own or others’ products or services. [...] you will not use any Seamless.AI Data or the Services for any purpose regulated under the Fair Credit Reporting Act (“FCRA”), 15 U.S.C. § 1681b [...] You further agree that you will not: [...] Integrate Seamless.AI Data into any customer relationship management, marketing automation, or sales enablement platform to allow unauthorized users to access or use Seamless.AI Data [...] You may not sell or publicly display or distribute any Seamless.AI Content or otherwise use the Seamless.AI Content in a manner not expressly permitted in these Terms without Seamless.AI’s prior written consent. 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Acceptable Use: \"You agree to use the Service only for lawful purposes. You shall not:\" \"Use data obtained through the Service to harass, stalk, or harm individuals\"; \"Violate any applicable laws, including data protection and privacy regulations\"; \"Resell or redistribute data in a manner that violates upstream provider terms\"; \"Attempt to circumvent payment requirements or exploit vulnerabilities in the Service\"; \"Use the Service for spam, phishing, or fraudulent activities\"; 5: \"Third-party data is subject to the respective provider's terms and conditions.\"; 6: \"Your use of such data is subject to their terms. You may not claim ownership of data retrieved through the Service or use it in ways that infringe on third-party rights.\"; Merit Systems' terms, 8. Acceptable Use: \"You may not use the Services to:\" \"violate any law, regulation, court order, sanction, or third-party right\"; \"harass, threaten, stalk, defame, exploit, or harm any person or entity\"; \"send spam, phishing, robocalls, deceptive outreach, or malware\"; \"scrape, enrich, surveil, profile, or use personal data in a manner that is unlawful, discriminatory, abusive, or without any required consent or lawful basis\"; \"impersonate another person or entity or misrepresent affiliation, authority, or origin\"; \"generate, host, upload, send, distribute, or facilitate illegal, infringing, fraudulent, or harmful content\"; \"use the Services or any output, data, enrichment, score, ranking, recommendation, or other result as a consumer report, investigative consumer report, or for determining a person's eligibility for employment, hiring, contracting, compensation, credit, lending, underwriting, housing, insurance, education, government benefits, licenses, immigration status, or any other purpose regulated by the Fair Credit Reporting Act or analogous law\"; \"evade payment requirements, fees, rate limits, moderation systems, anti-abuse controls, or access restrictions\"; \"probe, attack, reverse engineer, interfere with, or degrade the Services or supporting infrastructure, except to the extent prohibited by applicable law\"; \"use the Services for emergency services, weapons, unlawful surveillance, or other prohibited high-risk use cases.\"; \"You are solely responsible for ensuring that your conduct, communications, content, inputs, data sources, automations, and downstream use of outputs comply with all applicable law.\"; 7: \"You are solely responsible for verifying legality, consent, accuracy, and downstream rights before using any result.\"; PDL People Enrich's data, People Data Labs' Services Subscription Agreement: 2.2.1 \"a limited, revocable, non-exclusive, non-transferable, non-sublicensable right to license, access, and use the Data provided to Customer during the Subscription Period for the following 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 (as defined in 11.2); (iii) for any permitted uses outlined in Customer Order Form.\"; 1.3 \"Cached Data may not be provided or displayed to more than one End User.\"; 2.6.1 \"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.\"; 2.6.2 \"Customer may not use, resell, authorize or permit anyone to use, license, or make available Data they obtain from PDL, for any purposes prohibited in the Acceptable Data Use Policy.\"; 2.6.3 \"Customer may not build products from the Data that resemble or compete with PDL products. (I.e. Customer may not provide programmatic access to the Data to End Users in any way that would allow them access to any substantial set of the Data features or a material portion of the Data.)\"; 2.9 \"FCRA uses are prohibited in the ADUP.\"; its Acceptable Data Use Policy: \"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.\"; \"To benefit any government agency operating as an intelligence agency to support national security, military, and foreign policy objectives.\"; \"Any evidentiary purpose related to law enforcement or criminal prosecution, such as to establish as an evidentiary matter that a particular person is associated with a particular data element (as you understand that such data elements may be subject to errors in accuracy, currency or transcription), provided that (subject to the foregoing restriction) such data may be used for investigative, analytics or validation purposes.\"; \"In connection with any 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 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.\"; \"Customer agrees that it will not use or provide any data or services it receives from PDL:\" \"In connection with establishing a consumer's eligibility for credit or insurance to be used primarily for personal, family or household purposes, or in connection with assessing risks associated with existing credit obligations of a consumer\"; \"For the purpose of evaluating a consumer for employment, promotion, reassignment or retention as an employee\"; \"For any tenancy verification or in connection with any application to rent real property\"; \"In connection with a determination of a consumer's eligibility for a license or other benefit that depends on an applicant's financial responsibility or status\"; \"As a potential investor or servicer, or current insurer, in connection with a valuation of, or assessment of credit or prepayment risks associated with, an existing credit obligation\"; \"In connection with any information, service or product sold or delivered to a “Consumer” (as that term is defined in the FCRA) that constitutes or is derived in substantial part from a Consumer Report\"; \"In connection with eligibility for any government benefit or service\"; \"For any eligibility decision made by a government pertaining but not limited to assistance to natural persons for housing, food, energy, health care, licensure, education, medical costs or any other form of government assistance or benefit.\"; \"For any other purpose under the FCRA\"; \"Customer agrees it will not take any “Adverse Action” (as that term is defined in the FCRA), which is based in whole or in part on PDL's services or data, against any Consumer.\"; Minerva Enrich's data, Minerva's Terms of Service: 4(a) \"right to use (and permit Authorized Users to use) the Services and Output Data in accordance with the Documentation and the terms of this Agreement for Customer’s internal business purposes.\"; 4(b) \"Customer will not and will not permit any person or entity (including, without limitation, Authorized Users) to, directly or indirectly:\" \"I. Use the Services or Output Data to develop or supplement a “Consumer Report” that is subject to the Fair Credit Reporting Act; as a factor in establishing an individual’s eligibility for credit or insurance to be used primarily for personal, family or household, or employment purposes; or for any other permissible purpose authorized under the Fair Credit Reporting Act for Consumer Reports;\" \"II. Copy, modify or create any derivative work of any portion of the Services, Output Data or the Documentation;\" \"III. Reverse engineer, decompile, decode, or disassemble or otherwise attempt to derive or gain improper access to any software component of the Services, in whole or in part;\" \"IV. Frame, mirror, sell, resell, market, sublicense, publish, distribute, reproduce, assign, transfer, rent, lease or loan any portion of the Services or Output Data to any other person or entity, or otherwise allow any person or entity to use the Services or Output Data for any purpose other than for the benefit of Customer in accordance with this Agreement;\" \"V. Use the Services, Output Data or Documentation in any manner or for any purpose that infringes, misappropriates, or otherwise violates any Intellectual Property Rights or other right of any person or entity, or that violates any applicable law;\" \"VI. Interfere with, or disrupt the integrity or performance of, the Services, or any data or content contained therein or transmitted thereby;\" \"VII. Access or search the Services (or download any data or content contained therein or transmitted thereby, including Output Data) through the use of any engine, software, tool, agent, device or mechanism (including spiders, robots, crawlers, or any other similar data mining tools) other than software or Services features provided by Minerva for use expressly for such purposes;\" \"VIII. Provide any Submitted Data that is considered “sensitive personal information”, “sensitive data”, or another analogous term under applicable laws;\" \"IX. Use the Services or Output Data in any manner that is unlawful, illegal, discriminatory, or harms (whether physically or emotionally), deceives, defrauds or misleads a third party, Minerva, its service providers, suppliers or any other user, including, without limitation: (A) Any use for improper investment purposes in any entity whose information appears as part of the Services or Output Data; (B) Any use to advertise or promote any goods or services (or send any other communications) that are illegal in the place offered or consumers; (C) Any use to advertise or promote adult service (such as pornography or escort services), tobacco products, illegal gambling, counterfeit or pirated goods or services, or violate any securities or commodities regulations (such as to support a “pump and dump” scheme); (D) Any use to communicate or transmit content that is defamatory, dishonest, obscene, sexually explicit, pornographic, vulgar or offensive; (E) Any use to promote or engage in discrimination, racism, harassment or hate speech against any individual or group; (F) Any use to threaten or promote violence; (G) Any use to locate suspects in a civil or criminal lawsuit in order to develop a news story; (H) Any use to track down victims of fraud, their family members or friends to develop a news; (I) Any use to locate lost loves, friends, family members or for personal reasons (dating, etc.); (J) Any use to search for individuals involved in an adoption (children, parents, siblings, etc.); (K) Any use to locate personal information on well-known/high-profile celebrities or government officials; (L) Any use in connection with credit repair services, to locate previous debtors or to assist in the determination of whether or not to file a personal lawsuit or judgment against the subject of the report; (M) Any use to access individual reference data on oneself or out of personal curiosity;\" \"X. Use the Services or any Output Data to send marketing communications to individuals about whom Output Data relates unless Customer has independently obtained consent for such marketing communications directly from the individuals or such marketing communications are otherwise permitted by applicable laws;\" \"XI. Use the Services in such a way that you would be deemed to be engaging in the offering or solicitation of investments in securities;\" \"XII. Use, extract, download or retrieve Output Data, in whole or in part, to train or finetune an artificial intelligence system, or to provide or reproduce Output Data, in whole or in part, as a prompt or input to any such system;\"","plan":"Pay per request with x402 or MPP","who":"anyone 18 or over, not in a jurisdiction where use is prohibited, paying in USDC from a wallet on Base, Solana or Tempo","billing":"on-demand","charged":"per call","topUp":null,"pay":0,"currency":"USD","exchangeRate":1,"termMonths":null,"from":null,"graduated":null,"units":null,"unit":"usd","renews":null,"expires":null,"costUnits":0.15,"calls":null,"monthlyCap":null,"perThousand":15,"waterfall":null,"listPerThousand":15,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":[],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"page","resultsPerPage":10,"resultsCap":null,"perDay":null,"perSecond":null,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"POST","path":"/api/fullenrich/company-search","send":"at least one of names, industries, headquarters_locations; domains, professional_network_ids, professional_network_urls, keywords, specialties, types, founded_years, headcounts, company_ids; offset, search_after, excludeFields","fields":["company ID","company name","company domain","company description","company founded year","company headcount","company headcount range","company company type","company specialties","company industry","company headquarters line 1","company headquarters line 2","company headquarters city","company headquarters region","company headquarters country","company headquarters country code","company office line 1","company office line 2","company LinkedIn ID","company LinkedIn URL","company LinkedIn handle","company LinkedIn connection count","total results","credits used","offset","next cursor"]},{"provider":"Surfe","api":"Company discovery","website":"https://www.surfe.com","pricingPage":"https://www.surfe.com/pricing","pitch":"Search for companies based on the provided filters.","strengths":[],"aggregators":[],"freshness":null,"fieldFreshness":null,"history":null,"keep":"no limit","use":"You are granted a non-exclusive license right to host and use the business contact data provided by Surfe in connection with the Services for internal business purposes exclusively. However, you shall not resell, sublicense, distribute or otherwise communicate said data to any third-party without the express written consent of Surfe. [...] a limited, non-exclusive, non-transferable, and non-sublicensable license to access and use the API and Services only while you hold a valid and unused credit balance, in accordance with these Terms & Conditions, and for internal business purposes only. [...] You acknowledge that the Services are intended for Commercial use only [...] Commercial use shall NOT include any personal, family, or household uses of the Service. [...] access to and use of the API shall be strictly limited to you. Functionalities and features included in each Credits Plan are granted to you only and may not be shared or transferred by or between individuals. [...] Unless explicitly permitted by these Terms & Conditions or our prior express written consent, You shall be strictly prohibited from: Copying, reproducing, displaying, performing, distributing, publishing, or transmitting the Website, the API, or our trademarks, whether permanently or temporarily, by any means or process and on any medium known or unknown to date; Creating derivative works based on the Website, API or our trademarks; Modifying, translating, adapting, or otherwise altering the Website and/or our API or trademarks; Disassembling, decompiling, reverse-engineering, or attempting to extract the source code of the Website or the API or any part thereof; Selling, renting, sublicensing, distributing, or otherwise commercially exploiting the Website, API or our trademarks in any form [...] You explicitly agree, warrant, and represent that you will NOT use the API or the Services to: Engage in illegal or fraudulent activity; Harm public order and morality; Infringe on third parties or their rights in any way whatsoever; Violate any applicable contractual, legal or regulatory provisions; Interfere with or compromise a third party’s computer system with the aim of violating the third party’s integrity or security; Assist or incite a third-party to engage in any of the activities listed above. 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business tags","generated description","generated SQL","headcount growth 1 month","headcount growth 12 months","headcount growth 3 months","headcount growth 6 months","headcount growth 9 months","headline","headquarters commune","headquarters location","headquarters postcode","headquarters postcode details","headquarters postcode details article","headquarters postcode details code commune","headquarters postcode details code commune INSEE","headquarters postcode details code departement","headquarters postcode details code postal","headquarters postcode details code region","headquarters postcode details latitude","headquarters postcode details libelle acheminement","headquarters postcode details ligne 5","headquarters postcode details longitude","headquarters postcode details nom commune","headquarters postcode details nom commune complet","headquarters postcode details nom commune postal","headquarters postcode details nom departement","headquarters postcode details nom region","headquarters street address","house number","HQ","hub tags","human summary","IBC insurance codes","ID","industry groups","input","input keyword","input max items","input start page","insight bucket children","insight bucket count","insight bucket ID","insight bucket name","insight communes","insight employee ranges","insight incorporation dates","insight legal forms","insight NAFs","insight RTICs","insights","intent","intent IBP1","intent score","international label","investments count","investor deal size maximum","investor deal size minimum","investor rank","investor stages","investor types","iOS app URL","IPO date","is hiring","is international","is preview","ISIC Rev. 4 codes","IT spend","item created at","item ID","item scope ID","item source","item source entity ID","item source ID","item updated at","job ID","job post active","job post date","job post ID","job post remote","job post source","job post title","job post URL","job posts","job status","keyword match","kind","largest headcount country","last funding round amount","last funding round date","last funding round name","last leadership change date","last leadership change types","last modified date","last result on page","last round date","latest funding classifications","latest funding date","latest funding round amount","latest funding round date","latest funding round type","latest funding stage","leadership change count","legal form","legal names","LinkedIn company IDs","LinkedIn company slugs","LinkedIn company URLs","LinkedIn handle","LinkedIn industries","LinkedIn profile","location count","location role","long description","markets","match score","member identity","mobile","monthly unique visitors","monthly visits","monthly web visits","NACE Rev. 2 codes","NAF code","NAF codes","NAF name","NAF section","NAICS 2022 codes","NAICS rank","national ID","national ID is VAT","national identification type code","national identification type description","NCCI codes","network stage complete","network total results","network total results estimated","news date","news title","news type","news URL","next page","next page token","next token","number of employees range","number of locations","office addresses","open job count","operating location address","operating location commune","operating location date established","operating location employee range","operating location is registered HQ","operating location latitude","operating location longitude","operating location NAF code","operating location NAF name","operating location parent company name","operating location parent company number","operating location postcode","operating location postcode details","operating location siret","operating locations","operating locations count","page count","parent company","partial","patents count","pending jobs","per page","permalink aliases","phone numbers","phone or mobile","plan approximations","plan disclosure","points charged","portfolio companies","portfolio company count","portfolio exits count","portfolio exits percentage","portfolio exits total value","portfolio match companies count","portfolio match invested","portfolio rounds count","portfolio total valuation","post code","preferred round","primary country","primary domain","primary name","processed jobs","processing time","product category","product match","progress","provider company IDs","province","province code","proxy traffic bytes","query time ms","recent job posting count","region code","relations","relevance","relevance description","request status","request type","result ID","results billed","results returned","revenue estimate high","revenue estimate low","revenue type","revenue year","role distribution","role distribution percent","roles","RTIC company number","RTIC name","RTIC score","RTIC sector code","RTIC sector name","RTIC vertical code","RTIC vertical name","RTIC words matched","RTICs","school method","school program","school type","screenshot URL","search engine","search execution token","search ID","search mode","search result ID","search source","serving source","session ID","SIC code description","SICS industry","SICS sector","SICS subsector","signal rating","signal week","similar companies","similar company company number","similar company similarity score","SIREN","size range","slug","sort by","sort direction","stage label","start date","status reason","stock exchange","stock symbols","stock ticker","stop date","street 2","street 3","street name","sub-industry","sub-organization count","subtype","supply chain focus","tagline","target markets","task status","taxonomy","taxonomy type","technographics","technographics export","technology focus","text","tier counts","time taken","time taken in seconds","topic is product","topic subcategory","topics","total funding raised","total invested","total jobs","total results cap","total results capped","town","tracking ID","trade name","truncation warning","type","unicorn type","universal publication ID","usage balance remaining USD","usage companies count","usage companies USD","usage persons count","usage persons USD","usage phones count","usage phones USD","usage total USD","valuation month","valuation range","valuation year","VC funding","verified","warmth label","warmth score","warning field","warning message","warning suggestions","warning value","web domain","web visits 3-month growth","webset ID","website language","website TLD","went public on","yearly revenue range","YouTube URL"]},"same":["api","strengths","monthlyFee","addons","catchAllPerThousand","bounceRefund","history"],"facets":["defaults","provider","price","fields","billing","who","freshness","use","answer","paysFor"],"ties":{"Company discovery":{"tied":["Data8, free","Data8, free, trial","Exa, $49 monthly","Exa, $49 monthly, Starter","Explorium, $29.99 pack","Explorium, $29.99 pack, Lite","Explorium, $29.99 pack, Lite, POST /v2/businesses","Explorium, $29.99 pack, Lite, POST /v2/businesses, 500 credits","Findymail, $399 monthly","Findymail, $399 monthly, Business Plus","Findymail, $399 monthly, Business Plus, POST /api/intellimatch/search","Findymail, $399 monthly, Business Plus, POST /api/intellimatch/search, 30,000 credits a month","InfobelPRO, contact us","InfobelPRO, contact us, Talk to a data expert","NeuralVerge, $50 monthly","NeuralVerge, $50 monthly, Base","OneShot, top-up from $0.01","Parallel, top-up","Parallel, top-up, Pay as you go","Seamless.AI, contact us","The Data City, contact us","The Data City, contact us, Beta API key","Veridion, contact us","pipe0, top-up from $10","pipe0, top-up from $10, Pay as you go","pipe0, top-up from $10, Pay as you go, POST /v1/search/run/sync"],"movedPages":{"Extruct, $149 monthly":"/company-discovery-apis/extruct/149-monthly-pro-post-v1-discovery-tasks","Findymail, $399 monthly, Business Plus, POST /api/intellimatch/search, Search leads":"/company-discovery-apis/findymail/399-monthly"},"canonicals":{"1Lookup":"99-monthly","akta.pro":"top-up","Anysite":"free","Autobound":"free","BetterContact":"free","Bytemine":"pay-as-you-go","Cleanlist":"89-monthly","Context.dev":"free","Dropleads":"free","Exa":"49-monthly-starter-post-v0-websets-webset-searches","Explorium":"free-trial-post-v2-businesses-fetch-businesses","Extruct":"149-monthly-pro-post-v1-discovery-tasks","Findymail":"free","Forager":"50-monthly","Instantly":"9-monthly","NeuralVerge":"50-monthly-base-post-functions-v1-run-dealroom-companies-search","NinjaPear":"free","OneShot":"free","Oppora":"7-monthly","Parallel\nPOST /v1beta/findall/entity-search":"free-5-in-free-credits-per-month-post-v1beta-findall-entity-search","Parallel":"free-5-in-free-credits-per-month-post-v1beta-findall-runs","PayPerQ":"pay-as-you-go","pipe0":"top-up-from-10-pay-as-you-go-post-v1-search-run-sync-company-search-ai-companies-entitysearch-parallel-1","RocketReach":"69-monthly","Seamless.AI":"free","Signalbase":"free","treg":"free","Veridion":"contact-us-company-intelligence","Village":"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 searches that find no company. 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 searches 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: filters such as an industry, a size, a place or a technology. 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 or 14 months"},"defaults":["No contact us plans","No free plans","No yearly plans","$500 or less to start"],"kept":38,"paid":{"ranked":{"Company discovery":[0.01,0.012,0.0145,0.0149,0.0153,0.0175,0.018,0.04,0.05,0.069,0.0793,0.1,0.1,0.1,0.1045,0.15,0.158,0.16,0.17,0.2392,0.35,0.392,0.48,0.528,0.557,0.6188,0.6316,0.8,0.8167,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1.199,1.3067,1.33,1.45,1.66,1.8,1.8,1.8,1.8,1.8,1.98,2.6382,3,3.7125,3.98,3.99,4.3625,4.47,4.5938,4.9,4.9,4.9667,5.25,5.96,6,6,6.8182,7.4999,7.5,7.5,8,8,8,8,9.0007,10,10,10,10,15,30,30,60,60,120,149,160.93,200.86,239.58,592.9]},"bench":{"Company discovery|Seamless.AI|/search/companies":{"data":0.6373,"performance":0.46524761077324067,"median":2302,"measured":2302,"fastest":"NinjaPear","fastestMedian":1071,"fastestMeasured":1071,"called":20,"inputs":20,"fewer":true,"days":["2026-10-20"],"row":"Seamless.AI"},"Company discovery|Findymail|/api/intellimatch/search|Search leads":{"data":0.5254,"performance":0.09285590428298943,"median":11534,"measured":11534,"fastest":"NinjaPear","fastestMedian":1071,"fastestMeasured":1071,"called":15,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"Findymail"},"Company discovery|NinjaPear|/api/v1/company/search":{"data":0.4373,"performance":1,"median":1071,"measured":1071,"fastest":"NinjaPear","fastestMedian":1071,"fastestMeasured":1071,"called":2,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"NinjaPear"}},"left":{"Company discovery|treg|/call/treg.companies.search":{"kind":"copy","both":false},"Company discovery|Context.dev|/v1/company/search":{"kind":"copy","both":false},"Company discovery|Instantly|/api/v2/supersearch-enrichment/company-lists":{"kind":"other","both":false}},"free":["Company discovery|Data8|/CompaniesHouse/FindCompanyByNameAndAddress.json|FindCompanyByNameAndAddress","Company discovery|Data8|/CompaniesHouse/FindCompanyByNameOrPostcode.json|FindCompanyByNameOrPostcode"]},"alert":true,"bench":{"groups":[{"name":"Companies checked","note":"On 20 and 21 October 2026, we sent each provider up to 20 searches, all from the same list. We made one call per search. Time is each call minus a baseline, so the distance to the provider's servers drops out. We asked for 10 companies per search and checked each on its LinkedIn page. Called: the searches we called each provider on. Match the search: the company has its headquarters in the country we searched and its headcount in the size band we searched. Where a call finds companies by any of their offices, an office in the country we searched counts in place of the headquarters. Another country, another size: its LinkedIn page shows another country or size band. Not confirmed: we couldn't judge the company. Our read of its LinkedIn page failed twice. Or the page shows no headquarters or no size. 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. The Data score leaves out Not confirmed companies and counts No page companies as wrong.","columns":[{"name":"Called","kind":"count","values":{"Seamless.AI":[20,20],"Findymail":[15,20],"NinjaPear":[2,20]}},{"name":"Returned","kind":"count","values":{"Seamless.AI":[200,200],"Findymail":[118,150],"NinjaPear":[20,20]}},{"name":"Match the search","kind":"count","values":{"Seamless.AI":[123,200],"Findymail":[83,150],"NinjaPear":[10,20]}},{"name":"Another country","kind":"count","values":{"Seamless.AI":[12,200],"Findymail":[4,150],"NinjaPear":[0,20]}},{"name":"Another size","kind":"count","values":{"Seamless.AI":[43,200],"Findymail":[7,150],"NinjaPear":[2,20]}},{"name":"Not confirmed","kind":"count","values":{"Seamless.AI":[7,200],"Findymail":[1,150],"NinjaPear":[0,20]}},{"name":"No page","kind":"count","values":{"Seamless.AI":[15,200],"Findymail":[23,150],"NinjaPear":[8,20]}}]},{"name":"Time per timed search","note":"Each call's time minus its baseline, over our first call on each search, where it returned a matching company: a search that returned none is no job done, however fast it came. Where we called the providers again, side by side on the same searches, 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 search 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. Where the free calls took longer than the call on most of a provider's searches, its time is over the searches where they didn't. If we checked for a provider's answer every few seconds, the time is when we saw the answer. The answer may have come a few seconds earlier. Nothing to time means the provider found no matching company in any search we ran. It can also mean 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":{"Seamless.AI":2302,"Findymail":11534,"NinjaPear":1071}},{"name":"10th percentile","kind":"ms","values":{"Seamless.AI":1022,"Findymail":8023,"NinjaPear":833}},{"name":"90th percentile","kind":"ms","values":{"Seamless.AI":2349,"Findymail":27868,"NinjaPear":1309}},{"name":"Fastest","kind":"ms","values":{"Seamless.AI":231,"Findymail":5957,"NinjaPear":773}},{"name":"Slowest","kind":"ms","values":{"Seamless.AI":2375,"Findymail":152481,"NinjaPear":1368}},{"name":"Baseline","kind":"ms","values":{"Seamless.AI":344,"Findymail":685,"NinjaPear":456}}]},{"name":"The search call","note":"The provider's own company search call, and what one search cost on this run.","columns":[{"name":"Call","kind":"text","values":{"Seamless.AI":"POST api.seamless.ai/api/client/v1/search/companies","Findymail":"POST app.findymail.com/api/intellimatch/search, then its status and data","NinjaPear":"GET nubela.co/api/v1/company/search"}},{"name":"Charged per search","kind":"text","values":{"Seamless.AI":"no paid plan listed","Findymail":"$0.049 a search of 10","NinjaPear":"$0.0392 a search of up to 100"}}]}],"inputs":{"said":"The 20 searches we called, as each provider's call took them.","keys":["country","min","max"],"rows":[["US",11,50],["GB",51,200],["DE",201,500],["FR",501,1000],["CA",1001,5000],["AU",11,50],["NL",51,200],["ES",201,500],["IT",501,1000],["IN",1001,5000],["BR",11,50],["SE",51,200],["CH",201,500],["IE",501,1000],["SG",1001,5000],["JP",11,50],["BE",51,200],["PL",201,500],["MX",501,1000],["ZA",1001,5000]]}},"more":"/assets/sheet-lRECfnju.json"}