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general terms: \"Customer may continue to use the Data after the termination of the Agreement, provided that such termination was not a termination by Lusha pursuant to Sections 15.2, 15.3, 15.3 or 16\"; deleted when the person asks: \"If you receive a notification from an individual requiring that you shall delete individual’s Personal Data obtained by you through the API Service, you shall respect such request and shall: (i) delete such Personal Data from your database and cease Processing it\"","use":"use and access the Platform and obtain Data only for the Customer’s internal business uses and operations, and only for one or more of the following objectives: B2B sales/marketing to prospective and current customers, recruitment, business intelligence or fraud prevention purposes [...] Customer shall not, and shall not permit any third party to: [...] use the Data for any reason or in any way other than for the Purpose (such as for business-to-consumer (B2C) activities, including but not limited to marketing, advertising, and the direct solicitation of individuals) [...] publish, distribute, share, sell, lease, transfer, or otherwise make the Data available to any third person or entity [...] input, upload, transmit, or otherwise provide the Data (including any derivatives, extracts, or summaries thereof) to any External AI System, where such External AI System may use the Data for training, fine-tuning, model development, or otherwise incorporating the Data into such system’s capabilities or outputs [...] liquidated damages from Customer in the amount equal to $2.00 per Business Contact record that is so disclosed, used, or made available per third party recipient or beneficiary [...] it is not a data broker and is not entering into this Agreement in order to resell, or with the intention of reselling, the Data to third parties [...] must not use such Data for the purposes of cookie tracking, ad exchanges, ad networks, data brokerages, SPAM or any other purpose in violation of any applicable law [...] you agree not to disclose, distribute, sublicense, lease, rent, loan, resell or otherwise transfer any Business Profiles or other information received from or through your use of the API Service [...] You hereby warrant that you will not: [...] Use the API Service in connection with any advertisements, solicitations, chain letters, pyramid schemes, spamming or any other commercial communication [...] You shall not make use of any communication method to send Communications to recipients who have not explicitly consented (opt-in) or subscribed in some way to receive such Communications","plan":"Pro, 3,200 credits a month","who":"anyone 18 or over with a business email","billing":"monthly","charged":null,"topUp":null,"pay":362.4,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":3200,"unit":"credit","renews":"month","expires":"rolled over while subscribed, up to twice the monthly credits","costUnits":0.04,"calls":80000,"monthlyCap":null,"perThousand":4.53,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":null,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":["Create Subscription: 100 requests per minute","List Subscriptions: 100 requests per minute","Get Subscription by ID: 100 requests per minute","Update Subscription: 100 requests per minute","Delete Subscriptions: 100 requests per minute","Test Subscription: 100 requests per minute","Create Opt-Out Subscription: 100 requests per minute","Get Audit Logs: 100 requests per minute","Get Audit Log Statistics: 100 requests per minute","Get Account Secret: 100 requests per minute","Regenerate Account Secret: 100 requests per minute"],"sharesBudgetWith":["Search Contacts","Search Companies","Enrich Contacts","Enrich Companies","Search and Enrich Contacts","Search and Enrich Companies","Prospecting Companies","Get Contacts Table Entities","Get Companies Table Entities","Add Entities to Companies Table","Run Column on Contacts Table","Run Column on Companies Table","Contact Lookalikes","Company Lookalikes","Contact Recommendations","Company Recommendations","Contact Signals","Company Signals","Score Contacts by ICP Fit","Score Companies by ICP Fit","Get Buying Group Contacts","Search Conversations","Get Conversation Transcript"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[{"fields":["signal types"],"perThousand":113.25}],"per":"result","resultsPerPage":null,"resultsCap":null,"perDay":1500,"perSecond":0.042,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"POST","path":"/v3/contacts/prospecting","send":"pagination.page, pagination.size, filters; 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Subject to Customer's compliance with this Agreement and any Order Forms, Customer is granted a non-exclusive, revocable, non-assignable and non-sublicensable license, throughout the term of Customer's subscription to: (i) use the Service solely for Customer's personal and/or internal business purposes; and (ii) store, print or make a copy of Output Data solely for Customer's personal or internal business purposes. [...] Customer may not resell, distribute or otherwise disclose or make available the Service, including any functionally similar or equivalent version of the Output Data (the \"Resale Restriction\"). [...] Customer may not access the Service, including any functionally similar or equivalent version of the Output Data, on behalf of any third-party entity or organization. Customer may not transmit information to or through the Service that is fake or fictitious, impersonate any person or entity, or falsely state or otherwise misrepresent Customer's affiliation with a person or entity in connection with Customer's use of the Service. Customer may not develop any service, product, toolset, dataset or derivative work from the Service, whether in aggregated or non-aggregated form, and whether in identified or de-identified form. Customer may not reverse engineer, decompile or disassemble the Service (in whole or in part). Customer may not access the Service or extract data from the Service in a way that exceeds Customer's authority from Company or violates this Agreement or other policies or restrictions Company has implemented. Customer may obtain Output Data solely through the APIs and interfaces provided by Company. Customer shall not use any other manual or automated means (including \"data scraping,\" crawlers or bots) in order to access or obtain the Service. Customer may not leverage, consult with, use, review or rely upon the Service to develop or create a product or feature that is competitive with the Service (or any portion thereof). Customer may not remove any proprietary notices or labels. [...] Customer may not use the Service (including use of the Service to send email, mail, SMS, push notifications, fax, phone or other communications): to advertise or promote any illegal service or product (or send any other communications) that are illegal in the place offered or consumed. to advertise or promote tobacco or marijuana products, firearms, ammunition or other weapons, counterfeit or pirated goods or services, adult content or services (such as pornography or escort services), unlicensed gambling, investment schemes, astrology or psychic services, lotteries, credit repair services, payday loan services, or any type of hate speech. to violate any securities or commodities regulations. in a manner that violates any applicable laws, including without limitation any marketing or data privacy and security laws or industry best practices. In particular, Customer agrees not to use the Service in a manner that would violate the U.S. CAN-SPAM Act of 2003, the Canadian Anti-Spam Legislation (CASL), the U.S. TCPA, the Telemarketing Sales Rules or any similar such laws in any jurisdiction. to defraud, deceive, mislead, discriminate against, harass, libel or defame any person, group or entity. to promote any product or service that is in violation of any person's or entity's intellectual property rights. to threaten, promote or commit violence or fraud, or to violate any person's or entity's rights. for any purpose subject to the Fair Credit Reporting Act, including without limitation for the modeling of, or determination of, consumer credit worthiness, consumer credit approval, a consumer's eligibility for employment or insurance. [...] Without limitation of any of the above restrictions, Customer may not use the Services for the following: to send emails from a group distribution email such as hello@ or marketing@, etc. to send commercial emails without including appropriate opt-out mechanisms in or complying with applicable laws or best practices related to opt-outs or user choice and control principles. to use a fictional identity, pseudonym or alias to send emails. to send emails that generate an unacceptable (as determined in Company's reasonable and exclusive discretion) level of bounces, spam or complaints. to transmit material that contains or links to a virus, trojan horse, worm, or any malicious or harmful software program. to use Company's Service in conjunction with any unsolicited or harassing messages (commercial or otherwise) including but not limited to unsolicited emails, text messages or phone calls. [...] We designed our Fair Use Policy to have 5-hour windows that allow for bursts for the actual prospecting use case, while limiting weekly total records to prevent scraping our entire database.","plan":"Team","who":"a company's employees or service providers of the age of majority, not a MoltSets competitor, with a work email on the company's domain (no Gmail, Yahoo, Outlook.com, Hotmail or iCloud; not a very recently registered domain); one account per company domain","billing":"monthly","charged":null,"topUp":null,"pay":397,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":null,"unit":"credit","renews":null,"expires":null,"costUnits":0,"calls":null,"monthlyCap":1607142,"perThousand":0.247,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":["LinkedIn to Best Email","LinkedIn to Business Email","Reverse Email Lookup","Reverse LinkedIn Lookup","Email to LinkedIn","IP to Company"],"sharesBudgetWith":["Search for People","Search for Companies","Search Business Email by Name","Search Business Profile by Name"],"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":"Search for LinkedIn Profile","method":"POST","path":"/search_linkedin_profile","send":"name or first_name and last_name, company, User-Agent header; company_domain, count_only","fields":["full name","first name","last name","LinkedIn slug","LinkedIn URL","company","total results","status","records remaining 5h","records reset 5h","records remaining 1w","records reset 1w"]},{"provider":"Muraena","api":"Cached people search","website":"https://muraena.ai","pricingPage":"https://muraena.ai/pricing","pitch":"Returns list of people profiles by your criteria","strengths":[],"aggregators":[{"aggregator":"Databar","url":"https://databar.ai/explore/enrichments/search-people-at-companies","ownKey":"0 credits a call on the Build or Scale plan","paid":true,"perThousand":null,"usd":0.396,"per":"page","resultsPerPage":null,"callStated":true}],"freshness":"1 month","fieldFreshness":null,"history":null,"keep":"no limit","use":"This API can be used for any internal process like lead enrichment, search, email lookup, etc. [...] We don’t allow the use of this API for white-labeling and integration into live software products to prevent abusive behavior and unequal usage. [...] If you want to integrate our API into your live software product, contact us [...] to discuss your use case and find the best API setup options for your business [...] you warrant [...] that you will not: [...] knowingly or negligently use this website or any of its associated services in a way that abuses or disrupts our networks or any other service Muraena.ai provides; use this website or its associated services to transmit or publish any harassing, indecent, obscene, fraudulent, or unlawful material; use this website or its associated services in violation of any applicable laws or regulations; use this website in conjunction with sending unauthorized advertising or spam; harvest, collect, or gather user data without the user’s consent; use this website or its associated services in such a way that may infringe the privacy, intellectual property rights, or other rights of third parties","plan":"Custom plan","who":"users on the Business package, registered in the Muraena app","billing":"contact","charged":null,"topUp":null,"pay":null,"currency":"USD","exchangeRate":1,"termMonths":null,"from":null,"graduated":null,"units":null,"unit":"credit","renews":null,"expires":null,"costUnits":null,"calls":null,"monthlyCap":null,"perThousand":null,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":null,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":null,"sharesBudgetWith":null,"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":null,"resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":0.1,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"POST","path":"/search/","send":"nothing required; person_functional_areas, person_job_titles, person_industries, person_locations, person_countries, person_subregions, person_regions, person_first_name, person_last_name, company_keywords, company_headcount, company_buyers_intent, company_technographics, company_funding_amount, company_last_funding_date, company_linkedin_urls, company_domains, company_names, company_lookalike, negative_person_functional_areas, negative_person_job_titles, negative_person_industries, negative_company_keywords, negative_company_technographics, negative_company_buyers_intent, negative_company_names","fields":["person ID","first name","last name","LinkedIn URL","job title","industry","job function","location","country","company name","company domain","company LinkedIn URL","company country","company industry","total results","next page URL","previous page URL"]},{"provider":"Nymeria","api":"Cached people search","website":"https://www.nymeria.io","pricingPage":"https://www.nymeria.io/pricing","pitch":"Search finds one or more person matching your search parameters. [...] The person search endpoint takes one or more search criteria and returns a set of people that match.","strengths":[],"aggregators":[],"freshness":"stored","fieldFreshness":null,"history":null,"keep":"no limit","use":"We grant you a limited, nonexclusive, nontransferable license, subject to the terms of this Agreement, to access and use the Nymeria Site, and the content, materials, information and functionality available in connection therewith (collectively, the \"Content\") solely for informational, transactional, or other approved purposes as permitted by Nymeria from time to time. Any other use of the Nymeria Site or Content is expressly prohibited. [...] You will not otherwise copy, transmit, distribute, sell, resell, license, de-compile, reverse engineer, disassemble, modify, publish, participate in the transfer or sale of, create derivative works from, perform, display, incorporate into another website, or in any other way exploit any of the Content or any other part of the Nymeria Site or any derivative works thereof, in whole or in part for commercial or non-commercial purposes. Without limiting the foregoing, you will not frame or display the Nymeria Site or Content (or any portion thereof) as part of any other web site or any other work of authorship without our prior written permission. [...] The Nymeria API is owned by Nymeria and is licensed to Nymeria API users on a non-exclusive, non-sublicensable basis. Nymeria reserves the right to restrict or limit use when, in its sole discretion, we identify abusive, burdensome, or prohibited use of the Nymeria API. [...] You may not use your Nymeria Account to engage in the following categories of activity (\"Prohibited Use\"). By opening a Nymeria Account, you confirm that you will not use your Account to do any of the following: [...] Violate or assist any party in violating any law, statute, ordinance, regulation or any rule of any self-regulatory or similar organization of which you are or are required to be a member (for example, those laws, rules, or regulations governing financial services, controlled substances, or consumer protections). [...] Infringe upon Nymeria's or any third party's copyright, patent, trademark, or intellectual property rights. [...] Take any action that imposes an unreasonable or disproportionately large load on our infrastructure, or detrimentally interfere with, intercept, or expropriate any system, data, or information. [...] Interfere with another individual's or entity's access to or use of any of the Nymeria Services. [...] Defame, abuse, harass, stalk, threaten or otherwise violate or infringe the legal rights (such as, but not limited to, rights of privacy, publicity and intellectual property) of others. [...] Publish, distribute or disseminate any unlawful material or information. [...] Harvest or otherwise collect information from the Nymeria Site about others, including without limitation email addresses, without proper consent. [...] Act as a payment intermediary or aggregator or otherwise resell any of the Nymeria Services, unless expressly authorized by Nymeria in writing. [...] Transfer any rights granted to you under this Agreement. [...] Thus, you agree not to use, and not to encourage or allow any Client or End User to use, the Nymeria Services in the following prohibited ways: Using the Nymeria Services to encourage any illegal, fraudulent, abusive, or other activities. Using the Nymeria Services in connection with credit granting, credit monitoring, account review, collection, insurance underwriting, employment or for any other purpose covered by the Fair Credit Reporting Act (15 U.S.C. Sec. 1681 et seq (\"FCRA\")), Federal Trade Commission interpretations of the FCRA, and similar federal and state statutes. Using the Nymeria Services for any form of debt collection. Using the Nymeria Services to engage in, or in connection with fraudulent activity. Using the Nymeria Services directly as the sole source of data for hard background check purposes. Using the Nymeria Services to determine eligibility for a government license or benefit. Using the Nymeria Services for any purpose prohibited by applicable data privacy and security laws, including the General Data Protection Regulation (Regulation (EU) 2016/679) (\"GDPR\"), the California Consumer Privacy Act or any similar state or national laws. Using any data that is subject to the GDPR and is contained in or derived from the Nymeria Services for any purpose other than for business-to-business or recruitment activities and when Customer has a lawful basis to process such information for these activities. Using our Services 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. Using our Services to benefit any government agency operating as an intelligence agency whose purpose is to collect and analyze data on people for the purposes of, but not limited to, counter-terrorism, the creation of watchlists, individual threat assessment or mass-surveillance to support national security, military, and foreign policy objectives. 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[...] Cached Data may not be provided or displayed to more than one End User. [...] Upon termination of this Agreement, Customer must delete all Data it has received from PDL from all applicable Subscription Periods (including Cached Data), and sign and return to PDL the Data Deletion Agreement in Exhibit A within 30 days of termination.","use":"PDL hereby grants to Customer a limited, revocable, non-exclusive, non-transferable, non-sublicensable right and license to access the Services specified in the Order Form or in Customer Account during the Subscription Period for its internal business purposes. [...] (i) to display PDL-supplied Data to Customer’s own clients who engage with the data (“End Users”) on Customer’s platform or within Customer’s product; (ii) to maintain PDL-supplied Data in Customer’s database for the purpose of performing calculations and mapping PDL Data against Customer Data [...] Customer shall not, and shall not permit any client or third party that may have access to the Data to: (i) resell, sublicense, distribute or otherwise provide access to the Services, Data, or information contained in or derived from the Services, to any third party or use the Services outside the scope of the license granted herein; (ii) copy, modify, adapt, translate, prepare derivative works from, reverse engineer, disassemble, or decompile the Services or otherwise attempt to discover any source code or trade secrets related to the Services; or (iii) use the trademarks, trade names, service marks, logos, domain names and other distinctive brand features or any copyright or other proprietary rights associated with the Services for any purpose without the express written consent of PDL. [...] Customer may not build products from the Data that resemble or compete with PDL products. [...] This Acceptable Data Use Policy [...] describes actions that People Data Labs (“PDL”) prohibits when any party uses the PDL Services. [...] You may not use the PDL Services without agreeing to this ADUP. Thus, you agree not to use, and not to encourage or allow any client or End User to use, the PDL Services in the following prohibited ways: In connection with or in any way encourage any illegal, fraudulent, abusive, or similar activities. To promote or advertise guns, ammunition, or weapons, adult content or services (such as pornography), credit repair services, payday loan services, tobacco or marijuana products except with prior signed authorization from People Data Labs. To promote or advertise any product or service that violates intellectual property rights, such as the sale of counterfeit products. To promote particular company stock purchases. For any form of debt collection. For hard background check purposes. To determine eligibility for a government license or benefit. To “re-identify” pseudonymous information (such as a cookie identifier) by merging it with personally identifiable information (such as an email address). For any purpose prohibited by applicable data privacy and security laws, including the General Data Protection Regulation (Regulation (EU) 2016/679) (“GDPR”), the California Consumer Privacy Act or any similar state or national laws. For the purposes of training Gen AI systems or models that can generate derived synthetic content, including text, images, video, and audio, that emulates the structure and characteristics of the system’s training data. For the benefit of any one political candidate, political party, political campaign or advocacy group affiliated exclusively with or formed to benefit any one political candidate, political party or political campaign. 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. 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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 people 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 people 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 people a page holds. On a flat fee, we take the most people 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 people the plan allows. On a flat fee with no cap on people, 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 people 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 people than the units pay for, we divide the plan's price by the people 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 people. We also leave it blank when the provider's website doesn't say what a person costs on this plan, or how many people 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 one. 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 people 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 person 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, PayPerQ, pipe0, RouterGrowth and treg.","waterfall":"Some routers, like treg's, try one provider after another until one finds the person. 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 person. 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 person over all its calls. We assume each provider finds people 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 person 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 person again without using up the limit after you first get the person. We copy it from the provider's pages, like \"20 minutes\". \"no limit\" means the provider never charges again for a person you paid for once. \"never\" means the provider says it charges each time you get the person again. Blank when the provider's pages don't say.","per":"The price counts a \"call\" or a \"result\". A call asks for one person. A result is each person 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 person 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 people 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 people 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 person, like an Apify Actor's start fee. You pay the same fee for a call of 1,000 people or a call of one person. 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 people you get past the plan's units, when the provider sells extra people.","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 people you get for the plan's price, counted in per. A call and a result are each one person. 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 person 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 people 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 people you get. Enough for is also blank on pay as you go plans, on top-ups, and on subscriptions that charge for each person 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 a company, a job title or a place. The call needs the inputs before \"Optional:\". The optional ones come after it, or after a semicolon in the CSV and the JSON.","method":"The call's HTTP method.","path":"We give the path from the provider's docs. When that path fails, we give the path that works. Each plan of a call has the same path. A plan the provider serves at its own address has its own path.","plan":"The plan, as the provider names it on its pricing page.","who":"Who the provider offers the plan to: \"anyone\", or the condition its pages set, like \"anyone with a work email\" or \"on approval of an application\".","readFrom":"The pages we read the row's values from. They are the sheet's last column: click a cell to see each page, or press ⌘C to copy them all."},"billed":{"free":"Free: nothing to pay","on-demand":"Nothing to buy first: you pay as you go","one-time":"You buy credit first, as a pack or any amount you like, then spend it on calls","contact":"No public price: you ask the provider for one","monthly":"A monthly subscription","quarterly":"A quarterly subscription","half-yearly":"A subscription for 6 months","yearly":"A yearly subscription"},"defaults":["No contact us plans","No free plans","No yearly plans","$500 or less to start"],"kept":48,"paid":{"ranked":{"Cached people search":[0.00043,0.00066,0.005,0.005,0.025,0.0333,0.0365,0.0397,0.0415,0.0415,0.0415,0.0415,0.0527,0.0828,0.0828,0.0828,0.0828,0.098,0.1,0.1,0.1996,0.1996,0.2,0.247,0.247,0.25,0.277,0.298,0.298,0.36,0.36,0.374,0.393,0.49,0.49,0.499,0.5,0.5307,0.6036,0.6036,0.6225,0.664,0.7,0.7,0.7,0.792,0.84,0.84,0.898,0.98,0.99,0.995,1.08,1.195,1.196,1.2,1.2,1.44,1.44,1.452,1.452,1.49,1.6625,1.6625,1.7,1.7,1.7,1.78,1.825,1.825,1.96,1.9833,1.9833,2,2.0835,2.2294,2.45,2.5,2.5201,2.5201,2.6333,2.6333,2.64,2.64,2.64,2.9,3.48,3.7,3.96,4.3,4.3,4.3,4.3,4.3,4.3,4.3,4.3,4.3,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.53,4.532,4.5343,4.5369,4.54,4.54,4.54,4.54,4.54,4.54,4.54,4.54,4.54,4.5436,4.548,4.5533,4.56,4.5686,4.58,4.596,4.6181,4.62,4.6365,4.6568,4.66,4.6794,4.7,4.7,4.7047,4.75,4.75,4.75,4.75,4.75,4.75,4.76,4.8333,4.9,4.9,4.99,5,5,5,5,5.1,5.1,5.41,5.5,5.96,5.96,6,6,7,7.4999,7.98,8.33,8.4,8.4,8.9,8.94,8.94,9.0007,9.7,9.7,9.7,9.7,9.95,10,10,10,10,12,12.45,14.9997,18.0015,19.6,19.6,19.8,19.8,20,20,25,25,25.2,25.2,26.25,27.5,29.4,29.4,29.9,29.9,45.798,49,50,50.745,60.945,79.6,90.78,99,99.96,159,168,168,263.3333,280,390,497.5,582.3529]},"bench":{"Cached people search|LeadMagic|/v1/people/employee-finder":{"data":0.795,"performance":0.07501875468867217,"median":1333,"measured":1333,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-19","2026-10-20","2026-10-21","2026-10-22"],"row":"LeadMagic"},"Cached people search|Renidly|/api/emails/v1/prospects":{"data":0.6,"performance":1,"median":100,"measured":24,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":3,"inputs":20,"fewer":true,"days":["2026-10-19"],"row":"Renidly"},"Cached people search|People Data Labs|/v5/person/search":{"data":0.8249,"performance":0.14992503748125938,"median":667,"measured":667,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":9,"inputs":20,"fewer":true,"days":["2026-10-20"],"row":"People Data Labs"},"Cached people search|The Swarm|/v3/profiles/fetch":{"data":0.6583,"performance":1,"median":100,"measured":55,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-20"],"row":"The Swarm"},"Cached people search|GetProspect|/v2/people/search|People Search":{"data":0.925,"performance":0.5649717514124294,"median":177,"measured":177,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-20","2026-10-21","2026-10-22","2026-10-24","2026-10-25"],"row":"GetProspect"},"Cached people search|Hunter|/domain-search":{"data":0.6432,"performance":0.29069767441860467,"median":344,"measured":344,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"Hunter"},"Cached people search|Prospeo|/search-person":{"data":0.74,"performance":0.2564102564102564,"median":390,"measured":390,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"Prospeo"},"Cached people search|QuickEnrich|/api/employees/dataset-search":{"data":0.76,"performance":1,"median":100,"measured":66,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22"],"row":"QuickEnrich, Domain Search by URL & Title"},"Cached people search|QuickEnrich|/api/employees/contact-finder":{"data":0.8,"performance":1,"median":100,"measured":30,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22","2026-10-24","2026-10-25"],"row":"QuickEnrich, Contact Finder"},"Cached people search|graph8|/search/contacts":{"data":0.785,"performance":0.5952380952380952,"median":168,"measured":168,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22","2026-10-24","2026-10-25"],"row":"graph8"},"Cached people search|AnyAPI|/v1/run/people_search.quickenrich":{"data":0.81,"performance":0.13531799729364005,"median":739,"measured":739,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22"],"row":"AnyAPI, People Search - QuickEnrich"},"Cached people search|AnyAPI|/v1/run/people_search.quickenrich_company":{"data":0.72,"performance":0.07336757153338225,"median":1363,"measured":1363,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-22"],"row":"AnyAPI, People Search - QuickEnrich Company Contacts"},"Cached people search|Exa|/search|Search":{"data":0.87,"performance":0.06729475100942127,"median":1486,"measured":1486,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-24"],"row":"Exa"},"Cached people search|Crustdata|/person/search":{"data":0.8703,"performance":0.9615384615384616,"median":104,"measured":104,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":6,"inputs":20,"fewer":true,"days":["2026-10-24"],"row":"Crustdata"},"Cached people search|CompanyEnrich|/people/search|Search":{"data":0.7917,"performance":0.22075055187637968,"median":453,"measured":453,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":12,"inputs":20,"fewer":true,"days":["2026-10-24"],"row":"CompanyEnrich"},"Cached people search|Diffbot|/kg/v3/dql":{"data":0.5563,"performance":0.05595970900951315,"median":1787,"measured":1787,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":16,"inputs":20,"fewer":true,"days":["2026-10-24"],"row":"Diffbot"},"Cached people search|Instantly|/api/v2/supersearch-enrichment/preview-leads-from-supersearch":{"data":0.9079,"performance":0.2808988764044944,"median":356,"measured":356,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":19,"inputs":20,"fewer":true,"days":["2026-10-24","2026-10-25"],"row":"Instantly"},"Cached people search|Smartlead|/search-contacts":{"data":0.42,"performance":0.11534025374855825,"median":867,"measured":867,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-24","2026-10-25"],"row":"Smartlead, Search Contacts"},"Cached people search|RouterGrowth|/v1/run":{"data":0.715,"performance":0.08748906386701662,"median":1143,"measured":1143,"fastest":"Renidly","fastestMedian":100,"fastestMeasured":24,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"RouterGrowth"}},"left":{"Cached people search|The Swarm|/v3/profiles/search":{"kind":"ids only","both":false}}},"alert":true,"bench":{"groups":[{"name":"People checked","note":"On 19, 20, 21, 22, 24 and 25 October 2026, we sent each provider up to 20 companies, all from the same list. Some providers offer two different calls. Some providers got the same company more than once. Time is each call minus a baseline, so the distance to the provider's servers drops out. We asked for 10 people at each company and read each person's LinkedIn profile. Work there now: their profile shows a current job at that company. Work elsewhere now: it shows no current job there. Not confirmed: we couldn't judge them. This happens for three reasons. We tried to read their profile twice and failed. Their profile shows no job at all. Or the call gave no link and several people with that name work at the company. No page: there is no profile to read. The link the call gave is gone, or the call gave no link and we found no one with that name at the company. The Data score leaves out Not confirmed people and counts No page people as wrong. Companies searched: those we called the provider on.","columns":[{"name":"Companies searched","kind":"count","values":{"LeadMagic":[20,20],"Renidly":[3,20],"People Data Labs":[9,20],"The Swarm":[20,20],"GetProspect":[20,20],"Hunter":[20,20],"Prospeo":[20,20],"QuickEnrich, Domain Search by URL & Title":[20,20],"QuickEnrich, Contact Finder":[20,20],"graph8":[20,20],"AnyAPI, People Search - QuickEnrich":[20,20],"AnyAPI, People Search - QuickEnrich Company Contacts":[20,20],"Exa":[20,20],"Crustdata":[6,20],"CompanyEnrich":[12,20],"Diffbot":[16,20],"Instantly":[19,20],"Smartlead, Search Contacts":[20,20],"RouterGrowth":[20,20]}},{"name":"Returned","kind":"count","values":{"LeadMagic":[200,200],"Renidly":[30,30],"People Data Labs":[90,90],"The Swarm":[190,200],"GetProspect":[200,200],"Hunter":[140,200],"Prospeo":[190,200],"QuickEnrich, Domain Search by URL & Title":[187,200],"QuickEnrich, Contact Finder":[185,200],"graph8":[200,200],"AnyAPI, People Search - QuickEnrich":[189,200],"AnyAPI, People Search - QuickEnrich Company Contacts":[189,200],"Exa":[200,200],"Crustdata":[60,60],"CompanyEnrich":[119,120],"Diffbot":[160,160],"Instantly":[190,190],"Smartlead, Search Contacts":[188,200],"RouterGrowth":[190,200]}},{"name":"Work there now","kind":"count","values":{"LeadMagic":[159,200],"Renidly":[18,30],"People Data Labs":[77,90],"The Swarm":[131,200],"GetProspect":[185,200],"Hunter":[128,200],"Prospeo":[148,200],"QuickEnrich, Domain Search by URL & Title":[152,200],"QuickEnrich, Contact Finder":[160,200],"graph8":[157,200],"AnyAPI, People Search - QuickEnrich":[162,200],"AnyAPI, People Search - QuickEnrich Company Contacts":[144,200],"Exa":[174,200],"Crustdata":[53,60],"CompanyEnrich":[96,120],"Diffbot":[89,160],"Instantly":[172.5,190],"Smartlead, Search Contacts":[84,200],"RouterGrowth":[143,200]}},{"name":"Work elsewhere now","kind":"count","values":{"LeadMagic":[39,200],"Renidly":[0,30],"People Data Labs":[11,90],"The Swarm":[43,200],"GetProspect":[13.7,200],"Hunter":[7,200],"Prospeo":[41,200],"QuickEnrich, Domain Search by URL & Title":[28,200],"QuickEnrich, Contact Finder":[18,200],"graph8":[30,200],"AnyAPI, People Search - QuickEnrich":[18,200],"AnyAPI, People Search - QuickEnrich Company Contacts":[24,200],"Exa":[25,200],"Crustdata":[7,60],"CompanyEnrich":[18,120],"Diffbot":[61,160],"Instantly":[16.5,190],"Smartlead, Search Contacts":[1,200],"RouterGrowth":[38,200]}},{"name":"Not confirmed","kind":"count","values":{"LeadMagic":[0,200],"Renidly":[0,30],"People Data Labs":[0,90],"The Swarm":[1,200],"GetProspect":[0,200],"Hunter":[1,200],"Prospeo":[0,200],"QuickEnrich, Domain Search by URL & Title":[0,200],"QuickEnrich, Contact Finder":[0,200],"graph8":[0,200],"AnyAPI, People Search - QuickEnrich":[0,200],"AnyAPI, People Search - QuickEnrich Company Contacts":[0,200],"Exa":[0,200],"Crustdata":[0,60],"CompanyEnrich":[0,120],"Diffbot":[0,160],"Instantly":[0,190],"Smartlead, Search Contacts":[0,200],"RouterGrowth":[0,200]}},{"name":"No page","kind":"count","values":{"LeadMagic":[2,200],"Renidly":[12,30],"People Data Labs":[2,90],"The Swarm":[15,200],"GetProspect":[1.3,200],"Hunter":[4,200],"Prospeo":[1,200],"QuickEnrich, Domain Search by URL & Title":[7,200],"QuickEnrich, Contact Finder":[7,200],"graph8":[13,200],"AnyAPI, People Search - QuickEnrich":[9,200],"AnyAPI, People Search - QuickEnrich Company Contacts":[21,200],"Exa":[1,200],"Crustdata":[0,60],"CompanyEnrich":[5,120],"Diffbot":[10,160],"Instantly":[1,190],"Smartlead, Search Contacts":[103,200],"RouterGrowth":[9,200]}}]},{"name":"Time per people search","note":"Each call's time minus its baseline, over our first call on each company, where it returned someone who works there now: a search that returned no one there is no job done, however fast it came. Where we called the providers again, side by side on the same companies, beside ones we added later, each one called there is timed on that run instead, so those are timed on the same day. Any other later call on the same company isn't timed, since the provider may answer it from what it kept. Where a provider's free calls took longer than usual on our first calls, its time is over the next call on the same companies. 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 it returned no one there.","columns":[{"name":"Median","kind":"ms","values":{"LeadMagic":1333,"Renidly":24,"People Data Labs":667,"The Swarm":55,"GetProspect":177,"Hunter":344,"Prospeo":390,"QuickEnrich, Domain Search by URL & Title":66,"QuickEnrich, Contact Finder":30,"graph8":168,"AnyAPI, People Search - QuickEnrich":739,"AnyAPI, People Search - QuickEnrich Company Contacts":1363,"Exa":1486,"Crustdata":104,"CompanyEnrich":453,"Diffbot":1787,"Instantly":356,"Smartlead, Search Contacts":867,"RouterGrowth":1143}},{"name":"10th percentile","kind":"ms","values":{"LeadMagic":611,"Renidly":5,"People Data Labs":543,"The Swarm":11,"GetProspect":139,"Hunter":132,"Prospeo":306,"QuickEnrich, Domain Search by URL & Title":36,"QuickEnrich, Contact Finder":24,"graph8":126,"AnyAPI, People Search - QuickEnrich":587,"AnyAPI, People Search - QuickEnrich Company Contacts":922,"Exa":1109,"Crustdata":80,"CompanyEnrich":318,"Diffbot":1380,"Instantly":298,"Smartlead, Search Contacts":705,"RouterGrowth":1065}},{"name":"90th percentile","kind":"ms","values":{"LeadMagic":2620,"Renidly":38,"People Data Labs":1854,"The Swarm":220,"GetProspect":276,"Hunter":746,"Prospeo":727,"QuickEnrich, Domain Search by URL & Title":80,"QuickEnrich, Contact Finder":38,"graph8":348,"AnyAPI, People Search - QuickEnrich":1561,"AnyAPI, People Search - QuickEnrich Company Contacts":2468,"Exa":3152,"Crustdata":112,"CompanyEnrich":666,"Diffbot":2509,"Instantly":668,"Smartlead, Search Contacts":1089,"RouterGrowth":1180}},{"name":"Fastest","kind":"ms","values":{"LeadMagic":198,"Renidly":1,"People Data Labs":525,"The Swarm":2,"GetProspect":122,"Hunter":83,"Prospeo":275,"QuickEnrich, Domain Search by URL & Title":14,"QuickEnrich, Contact Finder":14,"graph8":78,"AnyAPI, People Search - QuickEnrich":459,"AnyAPI, People Search - QuickEnrich Company Contacts":887,"Exa":1046,"Crustdata":58,"CompanyEnrich":268,"Diffbot":1285,"Instantly":292,"Smartlead, Search Contacts":611,"RouterGrowth":1049}},{"name":"Slowest","kind":"ms","values":{"LeadMagic":3176,"Renidly":41,"People Data Labs":3786,"The Swarm":681,"GetProspect":331,"Hunter":940,"Prospeo":1015,"QuickEnrich, Domain Search by URL & Title":80,"QuickEnrich, Contact Finder":86,"graph8":495,"AnyAPI, People Search - QuickEnrich":8543,"AnyAPI, People Search - QuickEnrich Company Contacts":3875,"Exa":5333,"Crustdata":115,"CompanyEnrich":1070,"Diffbot":3114,"Instantly":1134,"Smartlead, Search Contacts":1217,"RouterGrowth":1236}},{"name":"Baseline","kind":"ms","values":{"LeadMagic":437,"Renidly":364,"People Data Labs":517,"The Swarm":228,"GetProspect":362,"Hunter":382,"Prospeo":306,"QuickEnrich, Domain Search by URL & Title":235,"QuickEnrich, Contact Finder":204,"graph8":335,"AnyAPI, People Search - QuickEnrich":320,"AnyAPI, People Search - QuickEnrich Company Contacts":369,"Exa":287,"Crustdata":327,"CompanyEnrich":431,"Diffbot":246,"Instantly":309,"Smartlead, Search Contacts":370,"RouterGrowth":417}}]},{"name":"The people search call","note":"The provider's people search call, and what one company's search cost on this run.","columns":[{"name":"Call","kind":"text","values":{"LeadMagic":"POST api.leadmagic.io/v1/people/employee-finder","Renidly":"GET renidly.com/api/emails/v1/prospects","People Data Labs":"GET api.peopledatalabs.com/v5/person/search","The Swarm":"POST bee.theswarm.com/v3/profiles/search, then /v3/profiles/fetch","GetProspect":"POST api.getprospect.com/v2/people/search","Hunter":"GET api.hunter.io/v2/domain-search","Prospeo":"POST api.prospeo.io/search-person","QuickEnrich, Domain Search by URL & Title":"GET app.quickenrich.io/api/employees/dataset-search","QuickEnrich, Contact Finder":"POST app.quickenrich.io/api/employees/contact-finder","graph8":"POST be.graph8.com/api/v1/search/contacts","AnyAPI, People Search - QuickEnrich":"POST api.getanyapi.com/v1/run/people_search.quickenrich","AnyAPI, People Search - QuickEnrich Company Contacts":"POST api.getanyapi.com/v1/run/people_search.quickenrich_company","Exa":"POST api.exa.ai/search category=people","Crustdata":"POST api.crustdata.com/person/search","CompanyEnrich":"POST api.companyenrich.com/people/search","Diffbot":"GET kg.diffbot.com/kg/v3/dql type:Person","Instantly":"POST api.instantly.ai/api/v2/supersearch-enrichment/preview-leads-from-supersearch","Smartlead, Search Contacts":"POST prospect-api.smartlead.ai/api/v1/search-email-leads/search-contacts","RouterGrowth":"POST api.routergrowth.com/v1/run (people.search, its default route)"}},{"name":"Charged per company","kind":"text","values":{"LeadMagic":"$0.0099 a search of 10 people","Renidly":"$0.0083 a person, up to 20","People Data Labs":"$0.2769 a person, 89 credits for its 90","The Swarm":"$0 for the search, then $0.099 a profile fetched","GetProspect":"$0, free on every plan","Hunter":"$0.0245 a search of 10 people","Prospeo":"$0.0245 a page of 25 people, nothing when none","QuickEnrich, Domain Search by URL & Title":"$0.0048 a page of 20 people, nothing when none","QuickEnrich, Contact Finder":"$0, free on every plan","graph8":"$0, free on every plan","AnyAPI, People Search - QuickEnrich":"$0.0005, nothing when none","AnyAPI, People Search - QuickEnrich Company Contacts":"$0.0072 a page of 20 people, nothing when none","Exa":"$0.007 a search","Crustdata":"no paid plan listed","CompanyEnrich":"$0.0196 a person","Diffbot":"$0.0299 a person","Instantly":"$0, free on every plan","Smartlead, Search Contacts":"$0, free on every plan","RouterGrowth":"$0.0043 a search its first lane served, up to $0.312 where a dearer one did"}}]}],"inputs":{"said":"The 20 companies we called, as each provider's call took them.","keys":["domain"],"rows":[["pinpointhq.com"],["zerobounce.net"],["tryspecter.com"],["fullenrich.com"],["manatal.com"],["mailgun.com"],["ocean.io"],["clay.com"],["telnyx.com"],["instantly.ai"],["firmable.ai"],["ashbyhq.com"],["usebouncer.com"],["bird.com"],["lemlist.com"],["comeet.com"],["explorium.ai"],["apollo.io"],["workable.com"],["phantombuster.com"]]}},"more":"/assets/sheet-00xxtdcZ.json"}