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You may not resell, rent, lease, license, or otherwise distribute Exported Data as a stand-alone asset or use it to create, improve, or enrich a competing product, database, or service. [...] You expressly agree that your use of Exported Data will comply with all applicable laws and regulations, including, where applicable, GDPR, CCPA/CPRA, CAN-SPAM, CASL, TCPA, and PECR. [...] Data provided by the Service may not be used for determining any consumer’s eligibility for credit, insurance, employment, housing, tenant screening, or any other purpose regulated by the FCRA. [...] You agree not to use the Service or Exported Data to: Harass, stalk, phish, or otherwise abuse individuals; Promote or facilitate illegal activity; Distribute malware, viruses, or other harmful code; Misrepresent your identity or affiliation, including by impersonating AI Ark or another entity; or Resell or redistribute AI Ark data to third parties except as incidental to your internal business processes (e.g., sharing with your sales agents). [...] You must not: Use the Service or Exported Data to build, train, or improve any competing database, sales intelligence platform, lead generation tool, or similar service; Systematically retrieve data or other content from the Service to create or compile, directly or indirectly, a collection, compilation, database, or directory without our prior written consent.","plan":"Usage-Based Plan, 120,000 Credits / Month","who":"anyone 18 or over with authority to bind the company or organization the account is for, not in a US-embargoed country or on a US restricted-party list","billing":"monthly","charged":null,"topUp":null,"pay":399,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":120000,"unit":"credit","renews":"month","expires":"rolls over month to month, up to 2× the monthly allowance","costUnits":5,"calls":24000,"monthlyCap":null,"perThousand":16.625,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":"no limit","alsoPaysFor":[],"sharesBudgetWith":["People Preview","People Search","Company Search","Find Emails by Track ID","Export People with Email","Export Single Person with Email","Reverse People Lookup","Personality Analysis"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"call","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":5,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":17,"call":"Mobile Phone Finder API","method":"POST","path":"/v1/people/mobile-phone-finder","send":"one of linkedin or domain with name, Content-Type header \"application/json\"","fields":["provider record ID","LinkedIn URL","mobile phone"]},{"provider":"Amplemarket","api":"Cached employee phone","website":"https://www.amplemarket.com","pricingPage":"https://www.amplemarket.com/pricing","pitch":"Access 200M real-time verified mobile numbers","strengths":[],"aggregators":[],"freshness":"stored","fieldFreshness":null,"history":null,"keep":"during your paid subscription. 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You may not: Share, lease, license, transfer, time share, resell, rent, sublicense or otherwise distribute the Service or any data obtained through it (“Service Data”). Access the Service using automated methods outside the documented API (e.g., scraping). Reverse engineer, modify, or create derivative works from the Service. Use Service Data to compete with Amplemarket or to build similar databases or tools. Use the Service for spam, consumer marketing, or any purpose outside legitimate B2B outreach. [...] Use any robot, spider, scraper, or other automated means to access our Service for any purpose. Access the Service by any means other than those provided by us for that purpose. Extract a substantial part of the Service or Service Data or access it in bulk. Use any part of the Service or the Service Data in any manner that competes with Amplemarket, as solely determined by Amplemarket. [...] You shall also not: Sell, resell, rent, lease, license, sublicense, or otherwise distribute any data or Service Output Data (including printouts or downloadable data) to third parties, or using any data as a component of, or basis for, any materials intended for sale, licensing, or distribution. [...] Use the Service, including any associated Service Output Data, to create any derivative work, service or product. [...] You agree to and hereby do grant us a license to: (a) use Customer Submitted Content [...] to improve our Service [...]. 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This restriction does not apply to your internal systems or processes that are not commercially offered to third parties; resell, distribute, disclose, sublicense, transfer, sell, offer for sale, or make available any of the Contributor Database or any part of the Services to any third party; [...]\"; \"Business Contact Information Restrictions. You will not: distribute, sell, or license Business Contact Information to third parties, except to the extent expressly authorized by Apollo in writing; use Business Contact Information to create competing databases or services; combine Business Contact Information with other data sources in a manner that would circumvent the usage restrictions applicable to the underlying Apollo data; [...] or use Business Contact Information to train, fine-tune, or improve any artificial intelligence or machine learning model, system, or service, except (1) for your own internal models used solely for your internal business purposes and not commercially offered to third parties, or (2) to the extent otherwise expressly authorized by Apollo in writing.\"; \"Technical and Access Restrictions. [...] You may not: [...] Disclose the results of any Platform or program benchmark tests to any third parties without Apollo’s prior written consent.\"; \"Prohibited Uses. 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You only spend credits when contact data is actually returned.","strengths":[],"aggregators":[{"aggregator":"Clay","url":"https://www.clay.com/integrations/action/find-phone-number-apac-pubrio","ownKey":null,"paid":true,"perThousand":null,"usd":null,"per":"result","resultsPerPage":null,"callStated":true},{"aggregator":"Databar","url":"https://databar.ai/explore/enrichments/find-phone-by-linkedin-link","ownKey":"0 credits a call on the Build or Scale plan","paid":true,"perThousand":415.8,"usd":0.4158,"per":"result","resultsPerPage":null,"callStated":true}],"freshness":"stored","fieldFreshness":null,"history":null,"keep":"This licence ends when your subscription ends. On termination you must stop using the Output Data and delete it within 30 days, except that you may keep records of individuals you have actually contacted where you need them to honour that person's opt-out, and you may keep copies required by law or held in routine backups until those backups expire.","use":"we grant you a non-exclusive, non-transferable, revocable licence to use the Service, and to use, store and copy the data we return to you (\"Output Data\"), for your own internal business purposes. You may not resell, redistribute, sublicense or publish the Output Data, nor use it to build, train or improve a competing dataset, database, product or model, whether in identified, de-identified or aggregated form. You may not scrape, crawl or systematically extract the Service, circumvent rate limits or access controls, or reverse engineer any part of it except to the extent the law says you may despite this restriction. [...] Use it only for legitimate business-to-business purposes. Not for consumer marketing, not for recruitment screening decisions taken without human review, not for credit, insurance, housing, employment or any other decision that requires a regulated basis, and never to harass, profile, stalk or endanger anyone. Comply with the law that applies to your outreach. That includes the GDPR and UK GDPR, ePrivacy and PECR, CAN-SPAM, CASL, the TCPA, and any equivalent in your market and your recipient's. [...] Honour opt-outs immediately. [...] Do not upload the Output Data to a third-party platform in a way that transfers rights in it, and do not use it to enrich a dataset you sell.","plan":"Starter","who":"business users who have reached the age of majority, not consumers, through an AI agent on Pubrio's agent storefront with a registered credential","billing":"one-time","charged":null,"topUp":false,"pay":50,"currency":"USD","exchangeRate":1,"termMonths":null,"from":null,"graduated":null,"units":null,"unit":"credit","renews":"never","expires":null,"costUnits":10,"calls":null,"monthlyCap":null,"perThousand":100,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":["Redeem Email","every other API call"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"call","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":null,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"POST","path":"/redeem/people","send":"people_search_id or linkedin_url, and people_contact_types [\"phone\"]","fields":["person ID","phone number","phone type","phone status","credits remaining","top-up credits remaining","credits consumed"]},{"provider":"QuickEnrich","api":"Cached employee phone","website":"https://quickenrich.io","pricingPage":"https://quickenrich.io/pricing","pitch":"Look up an employee's phone number using the same parameters as email search: LinkedIn URL OR company URL + first name + last name.","strengths":[],"aggregators":[],"freshness":"stored","fieldFreshness":null,"history":null,"keep":"no limit","use":"paying subscribers: to sell and market their own company's products and services; no disclosing or distributing the data; no reselling access to the Services or related data, except under GTM Unlimited with QuickEnrich's approval (not to direct competitors without a yearly agreement); no scraping or copying data from the Services by robots or crawlers","plan":"Starter","who":"anyone","billing":"monthly","charged":null,"topUp":null,"pay":29,"currency":"USD","exchangeRate":1,"termMonths":1,"from":null,"graduated":null,"units":6000,"unit":"credit","renews":"month","expires":"credits reset monthly","costUnits":1,"calls":6000,"monthlyCap":null,"perThousand":4.8333,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":["Contact Finder"],"sharesBudgetWith":["Email Search","Reverse Email Lookup","Domain Search by URL & Title","Company Finder"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"call","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":16.67,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"GET","path":"/api/employees/phone-search","send":"linkedin_url, or company_url with first_name and last_name","fields":["success","message","code","first name","last name","company name","company URL","employee phone","employee phone type","employee count","company address","company city","company region code","company zip","company country code","credits used","remaining credits","reason"]},{"provider":"StableEnrich","api":"Cached employee phone","website":"https://stableenrich.dev","pricingPage":"https://stableenrich.dev/llms.txt","pitch":"Enrich person records with demographics, work history, education, contact info (emails + phones), address history, financial signals (income/wealth range), relatives, and social profiles.","strengths":[],"aggregators":[],"freshness":"1 day","fieldFreshness":null,"history":null,"keep":"as the terms of the provider whose data it is say (\"Third-party data is subject to the respective provider's terms and conditions\"), StableEnrich's own setting no limit: PDL People Enrich's, People Data Labs': \"Data returned in API endpoints may not be saved in Customer databases (“Cached Data”) for longer than necessary to perform actions permitted via Service License.\"; Minerva Enrich's, Minerva's, until the agreement ends: \"Upon expiration or termination of this Agreement: (i) the rights granted pursuant to Section 4(a) [...] will terminate\"","use":"StableEnrich's terms, 4. 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":0.0001,"calls":null,"monthlyCap":null,"perThousand":0.1,"waterfall":null,"listPerThousand":0.1,"overagePerThousand":null,"addons":null,"notFoundPerThousand":null,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":[],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"result","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":null,"concurrent":null,"batch":500,"answer":"in the call","latencyMs":null,"call":"Minerva Enrich","method":"POST","path":"/api/minerva/enrich","send":"records of linkedin_url, or minerva_pid, or first_name and last_name with emails; record_id, middle_name, full_name, name_suffix, phones, match_condition_fields, return_fields","fields":["name","first name","middle name","last name","name suffix","gender","birth date","age","profile URL","current title","industry","Facebook URL","X URL","provider record ID","jobs","position ID","job company","job company URL","job title","normalized job title","job seniority","job department","job employment type","job start date","job end date","job location city","job location state","job location country","schools","school ID","school name","school URL","school degree","school field of study","school start date","school end date","found","match confidence","request ID","response timestamp","marital status","household ID","spouse provider record ID","number of children","retired","estimated income range","estimated wealth range","LinkedIn title","LinkedIn industry","likely remote worker","relatives","relative provider record ID","relative first name","relative last name","relationship","relationship detail","work company NAICS code","work company NAICS description","work company SIC code","work company SIC description","standard job title","job status","education level","education majors","education minors","education information","institution LinkedIn URL","job company LinkedIn URL","job company industry","job company website","phones","phone number","phone type","phone rank"]},{"provider":"Versium","api":"Cached employee phone","website":"https://versium.com","pricingPage":"https://aws.amazon.com/marketplace/pp/prodview-ipz42szpexsx6","pitch":"Resolve a business contact's identity and crosswalk it to consumer contact data with the B2B2C Crosswalk Append API. With a business contact's LinkedIn profile URL, or their first name, last name, city and state, you can retrieve both sides of that person's identity from the Versium Data store in a single request","strengths":[],"aggregators":[],"freshness":"stored","fieldFreshness":null,"history":null,"keep":"during the Term of the Agreement: “Upon expiration or termination of this Agreement, you agree to destroy any and all copies of Licensed Materials and any information you have obtained from the Licensed Materials”","use":"Neither you nor Authorized Users shall access or use the Versar Platform or Licensed Materials for any purpose other than the sales, marketing, or business development activities expressly permitted by this Section. Neither you nor Authorized Users shall access or use the Versar Platform or Licensed Materials for the benefit of or on behalf of any person or entity except you. Authorized uses shall be limited to the following: (i) to view the Licensed Materials; (ii) to communicate with a person identified in the Licensed Materials [...] subject to your compliance with all applicable federal, state and local legal requirements regarding such communication and (iii) to download and print selected information from the Licensed Materials. [...] solely for your own internal business use, and not for timesharing, application service provider or service bureau use. [...] You shall not [...] (b) redistribute, sublicense, transfer, sell, offer for sale, or disclose any of the Licensed Materials to any third party; (c) incorporate any of the Licensed Materials into your own products or services; [...] (j) cache any data from Licensed Materials and/or build a database from the Licensed Materials; [...] (p) name or refer to Versar or your use of Licensed Materials in any of your advertisements or promotional or marketing materials without prior written permission from Versar; (q) use Licensed Materials for consumer credit purposes, underwriting any form of consumer insurance, employment purposes, tenant screening purposes, consumer debt collections or for any other purpose covered by the federal Fair Credit Reporting Act [...]; (r) disclose the results of your use of the Versar Platform or program benchmark tests to any third parties without Versar’s prior written consent; (s) use the Licensed Materials in a manner that violates any applicable legal requirement or the legal rights of a third party; or (t) use Licensed Materials to discriminate against consumers or any other person on the basis of protected characteristics under applicable law. [...] If your license includes use of Verified Phone Data, you will not [...] use the Verified Phone Data available through the Versar Platform for any purpose except to respond to or engage with a Licensed Materials Contact where you have an existing relationship with such Contact defined as a prior inbound request or application from the Contact or a prior transaction with the Contact. [...] Any Licensed Materials that are downloaded and/or integrated into any CRM system must be maintained with identifying information indicating that such materials originated with Versar by, for example, maintaining a lead source of “Versar.”","plan":"Versium Match Credits","who":"AWS Marketplace buyers who agree to the vendor's End User License Agreement","billing":"on-demand","charged":"monthly","topUp":null,"pay":0,"currency":"USD","exchangeRate":1,"termMonths":null,"from":null,"graduated":null,"units":null,"unit":"credit","renews":null,"expires":null,"costUnits":2,"calls":null,"monthlyCap":null,"perThousand":80,"waterfall":null,"listPerThousand":null,"overagePerThousand":null,"addons":null,"notFoundPerThousand":0,"catchAllPerThousand":null,"bounceRefund":null,"repeatFree":null,"alsoPaysFor":[],"sharesBudgetWith":["Online Audience Append","Account-based (ABM) List Generation","Persona-based List Generation","Firmographic Append","Consumer to Business (C2B) Append","IP2Domain + Firmographic Append","HEM-to-Business Domain","Contact Append","Demographic Append","Consumer Audience Builder","Email Validation"],"startPerCall":null,"startPerCallMax":null,"monthlyFee":null,"monthlyFeePer":null,"extras":[],"per":"call","resultsPerPage":null,"resultsCap":null,"perDay":null,"perSecond":20,"concurrent":null,"batch":1,"answer":"in the call","latencyMs":null,"call":null,"method":"GET","path":"/b2b2cAppend","send":"li_url or first, last, city, state, output[]; zip, address, country, cfg_required, cfg_max_emails_b2c, cfg_max_phones_b2c","fields":["mobile phone","line type","carrier","carrier parent","customer type","payment type","version","match counts","number of matches","number of results","query ID","query time","input query"]}],"total":303,"freshness":["Live","Within an hour","Within a day","Within a week","Within a month","Within a year","Stored, age unknown"],"providers":[{"label":"A to B","kids":[{"label":"Adapt.io","value":"Adapt.io on its own site"},{"label":"AeroLeads","value":"AeroLeads on its own site"},{"label":"AI Ark","value":"AI Ark on its own site"},{"label":"Amplemarket","value":"Amplemarket on its own site"},{"label":"Anysite","value":"Anysite on its own site"},{"label":"Apollo","value":"Apollo on its own site"},{"label":"BlitzAPI","value":"BlitzAPI on its own site"}],"range":true},{"label":"C to L","kids":[{"label":"Cognism","value":"Cognism on its own site"},{"label":"ContactOut","value":"ContactOut on its own site"},{"label":"Emelia","value":"Emelia on its own site"},{"label":"Enrich.so","value":"Enrich.so on its own site"},{"label":"Forager","value":"Forager on its own site"},{"label":"Fundable","value":"Fundable on its own site"},{"label":"Kendo","value":"Kendo on its own site"},{"label":"LeadIQ","value":"LeadIQ on its own site"},{"label":"Leadscart","value":"Leadscart on its own site"}],"range":true},{"label":"M to V","kids":[{"label":"Muraena","value":"Muraena on its own site"},{"label":"People Data Labs","value":"People Data Labs on its own site"},{"label":"PeopleDB","value":"PeopleDB on its own site"},{"label":"Prospeo","value":"Prospeo on its own site"},{"label":"Pubrio","value":"Pubrio on its own site"},{"label":"QuickEnrich","value":"QuickEnrich on its own site"},{"label":"StableEnrich","value":"StableEnrich on its own site"},{"label":"Versium","value":"Versium on its own site"}],"range":true}],"at":[0,4,16,58,67,75,85,89,91,103,111,117,124,128,179,243,246,247,264,273,283,291,297,300],"fields":{"Cached employee phone":["first name","last name","LinkedIn URL","country","phone number","job title","person ID","city","company name","mobile phone","phone type","company city","credits remaining","full name","gender","industry","location","phone","phone numbers","provider record ID","skills","company address","company country","company state","company website","current job function","current title","education end date","education school","education start date","email","emails","Facebook URL","job company","job company LinkedIn URL","job company website","job end date","job start date","jobs","languages","message","middle name","name","phones","profile URL","region","request ID","school degree","school end date","school field of study","school name","school start date","school URL","schools","state","status code","success","birth date","company country code","company employee count","company employee range","company founded year","company industry","company is B2B","company keywords","company latest funding date","company latest funding stage","company NAICS codes","company postal code","company SIC codes","company total funding","company type","confidence","credits consumed","credits used","current company","current company LinkedIn URL","current company provider record ID","current job start date","education majors","email status","Facebook username","found","GitHub username","has more","headline","interests","job company industry","job company size","job company URL","job department","job description","job history company name","job history current","job history title","job seniority","line type","LinkedIn ID","LinkedIn member ID","location coordinates","match confidence","past job company name","past job end date","past job start date","past job title","phone source","postal code","school ID","seniority","social profile ID","social profile network","social profile URL","social profile username","total results","Twitter URL","Twitter username","work email","about","activity score","address","address line 2","age","already unlocked","birth year","carrier","carrier parent","CB rank","charged","code","company active job postings count","company active job titles","company address city","company address country","company address is primary","company address postal code","company address state","company AI description","company coordinates","company Crunchbase URL","company department headcount","company description","company domain","company email domain","company employee count on Prospeo","company estimated revenue","company Facebook URL","company followers","company funding round amount","company funding round amount printed","company funding round count","company funding round date","company funding round link","company funding round stage","company has demo","company has downloadable app","company has free trial","company has mobile apps","company has online reviews","company has pricing page","company HQ phone","company HQ phone country","company HQ phone country code","company HQ phone international format","company HQ phone national format","company ID","company Instagram URL","company is B2C","company job function headcount","company LinkedIn ID","company LinkedIn presence","company LinkedIn URL","company location","company locations","company logo","company MX provider","company other websites","company overview","company phone","company phone type","company region code","company revenue","company revenue range","company revenue range maximum","company revenue range minimum","company revenue range printed","company SEO description","company size","company street","company sub-industry","company technologies","company technology count","company technology list category","company technology list name","company technology names","company total funding printed","company traffic rank","company Twitter URL","company URL","company YouTube URL","company zip","continent","countries","country code","credits spent","current company address line 2","current company continent","current company country","current company Facebook URL","current company founded","current company ID","current company industry","current company industry v2","current company locality","current company location","current company location coordinates","current company logo","current company metro area","current company postal code","current company region","current company size","current company street address","current company Twitter URL","current company website","current department","current job company ID","current job description","current job end date","current job key","current job matched query","current job seniority","current job sub-function","current job title","current job title roles","current job updated at","current seniority","customer type","dataset version","date","department","departments","direct phone","direct phone DNC country","direct phone DNC type","direct phone score","direct phone verified at","do-not-call listing","education","education activities","education degree","education degrees","education description","education grades","education information","education level","education major","education minors","education school domain","education school Facebook URL","education school LinkedIn ID","education school LinkedIn URL","education school Twitter URL","education school URL","education school website","education sequence number","education specialization","education type","email address","email addresses","email change date","email change from","email change score from","email change score to","email change to","email change type","email deliverability score","email MX provider","email revealed","email score","email SHA256","email type","email verification method","emails s2","employee count","employee phone","employee phone type","enriched records","estimated income range","estimated wealth range","experience","Facebook ID","followers range","free repeat","GitHub","GitHub ID","GitHub login","GitHub URL","household ID","ID","idempotency key","input query","institution LinkedIn URL","is CXO","job company address line 2","job company continent","job company country","job company Facebook URL","job company founded","job company ID","job company industry v2","job company locality","job company location","job company location coordinates","job company metro area","job company name","job company postal code","job company provider record ID","job company region","job company street address","job company Twitter URL","job employment type","job function","job history company country","job history company domain","job history company employee count maximum","job history company employee count minimum","job history company ID","job history company industry","job history company LinkedIn URL","job history company location","job history company logo","job history company summary","job history departments","job history duration in months","job history end date","job history end month","job history end year","job history job key","job history seniority","job history sequence number","job history start date","job history start month","job history start year","job is current","job join date","job join title","job last changed","job last verified","job leave date","job leave title","job location","job location city","job location country","job location state","job status","job sub-function","job summary","job title detailed role s2","job title level","job title role","job transition date","job transition title from","job transition title to","language code","language proficiency","last initial","last job change detected date","lead ID","likely remote worker","LinkedIn GUID","LinkedIn industry","LinkedIn public identifier","LinkedIn Sales Navigator URLs","LinkedIn status","LinkedIn title","LinkedIn type","LinkedIn updated at","LinkedIn username","location change country from","location change country to","location change date","location change type","location city","location country","location country code","location last updated","location names","location region","location status","location type","location updated at","logo URL","marital status","match counts","matched by","metro area","middle initial","mobile","mobile country","mobile country code","mobile international format","mobile national format","mobile phone DNC country","mobile phone DNC type","mobile phone rank","mobile phone score","mobile phone verified at","mobile revealed","mobile status","monthly credits remaining","name suffix","next cursor","normalized job title","number of children","number of matches","number of results","offset","operation ID","organization current technologies s2","organization Facebook URL s2","organization founded year s2","organization Twitter URL s2","page size","past job company ID","past job company LinkedIn URL","past job function","past job matched query","past job phone","past job seniority","past job title roles","past job updated at","payment type","people attempted","people charged","people failed","people requested","people skipped","people suppressed","people verified","person index","personal email","personal email addresses","personal emails","personal phone","personal phone status","personal phone type","personal phone updated at","personal phone verification status","phone change date","phone change from","phone change score from","phone change score to","phone change to","phone change type","phone confidence","phone do-not-call country","phone do-not-call status","phone do-not-call status date","phone enrichment status","phone ID","phone numbers s2","phone position","phone rank","phone record created date","phone record ID","phone record updated date","phone sanitized number","phone status","phone task status","phone validation status","position ID","processing time","profile picture","profile picture URL","profile score","purchased credits remaining","qualification","query ID","query time","reason","recommended personal email","records remaining","records reset date","records used","redeem ID","regions","relationship","relationship detail","relative first name","relative last name","relative provider record ID","relatives","remaining credits","replayed","requests left this second","resolved by","response timestamp","retired","school continent","school country","school domain","school Facebook URL","school grade","school locality","school location","school minor","school provider record ID","school region","school Twitter URL","school type","school website","second rate limit","seniority ID","skipped reasons","social profile status","social profile updated at","social profiles","spouse provider record ID","standard job title","start date","status","street address","street addresses","street addresses address line 2","street addresses continent","street addresses country","street addresses locality","street addresses location","street addresses location coordinates","street addresses metro area","street addresses postal code","street addresses region","street addresses street address","sub-region","summary","time zone","time zone offset","top-up credits remaining","updated at","version","work company NAICS code","work company NAICS description","work company SIC code","work company SIC description","work email addresses","work phone","work phone status","work phone type","work phone updated at","work phone verification status","wrong phone flag","X URL"]},"same":["api","strengths","waterfall","resultsCap","startPerCall","monthlyFee","addons","catchAllPerThousand","bounceRefund","history","concurrent"],"facets":["defaults","provider","price","fields","billing","who","freshness","use","answer","paysFor"],"ties":{"Cached employee phone":{"tied":["AI Ark, $399 monthly","AI Ark, $399 monthly, Usage-Based Plan, 120,000 Credits / Month","Amplemarket, $7,200 yearly","Amplemarket, $7,200 yearly, Startup","Apollo, $99 monthly","Apollo, $99 monthly, Professional","Cognism, contact us","ContactOut, contact us","ContactOut, contact us, Team / API","Enrich.so, $499 monthly","Enrich.so, $499 monthly, Pro","People Data Labs, $98 monthly","People Data Labs, $98 monthly, Pro, Tier 1","Prospeo, $249 monthly","Prospeo, $249 monthly, Pro","StableEnrich, pay as you go","StableEnrich, pay as you go, Pay per request with x402 or MPP"],"movedPages":{"Enrich.so, $499 monthly, Pro, GET /reverse-lookup/phones":"/find-cached-phone-apis/enrich-so/499-monthly"},"canonicals":{"AeroLeads":"free","AI Ark":"free-plan-post-v1-people-mobile-phone-finder","Amplemarket":"7200-yearly-startup-get-people-find","Anysite":"free","Apollo":"free-free-post-people-bulk-match","BlitzAPI":"99-monthly","Cognism":"contact-us-pro","Emelia":"19-monthly","Enrich.so":"49-monthly","Forager":"50-monthly","Fundable":"free","Kendo":"17-monthly","LeadIQ":"free","Leadscart":"free","People Data Labs":"98-monthly-pro-tier-1-post-v5-person-bulk","PeopleDB":"free","Prospeo\nPOST /enrich-person":"49-monthly-starter-post-enrich-person","Prospeo":"49-monthly-starter-post-bulk-enrich-person","Pubrio":"free-trial","QuickEnrich":"free","Versium":"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. \"Company lookalikes\" returns companies similar to the one you send, on Similar companies. \"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. \"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. \"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. \"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. \"Person enrichment\" returns a person's profile from the provider's database. \"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 free, yearly and contact us plans, plans over $500 to start, plans bought on a marketplace and plans that need your own LinkedIn account. 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. 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: the fastest benchmarked provider's median time divided by this provider's. A median under 0.1 s counts as 0.1 s, since the baseline we take off varies by about that much. Until we benchmark the call, the score is N/A, and so is the Overall score. It is N/A too where the call gave no answer we could time, and the Overall score leaves it 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 phones 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 phones 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 phones a page holds. On a flat fee, we take the most phones 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 phones the plan allows. On a flat fee with no cap on phones, 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 phones 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. We leave it blank on a top-up, because a top-up buys no fixed number of phones. We also leave it blank when the provider's website doesn't say what a phone costs on this plan, or how many phones 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 people the provider finds no phone for. 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 phones 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 phone 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, RouterGrowth and treg.","waterfall":"Some routers, like treg's, try one provider after another until one finds the phone. 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 phone. 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 phone over all its calls. We assume each provider finds phones 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 phone 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 phone again without using up the limit after you first get the phone. We copy it from the provider's pages, like \"20 minutes\". \"no limit\" means the provider never charges again for a phone you paid for once. \"never\" means the provider says it charges each time you get the phone again. Blank when the provider's pages don't say.","per":"The price counts a \"call\" or a \"result\". A call asks for one phone. A result is each phone 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 phone 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 phones 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 phones 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 phone, like an Apify Actor's start fee. You pay the same fee for a call of 1,000 phones or a call of one phone. 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 with its own limit, in the provider's words. 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 phones you get past the plan's units, when the provider sells extra phones.","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. Blank (null in the JSON) when its pages don't say. 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 company technologies, Cached phone validation, Cached LinkedIn person posts, Cached LinkedIn company posts, Cached job postings and Cached leadership changes. 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, it pays for the months in termMonths. The sheet's CSV writes 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. On a pack, it is the pack's price. On a top-up, it is the smallest amount you can top up. On a top-up with no minimum from the provider, it is blank (null in the JSON). On a free plan, it is $0.00. On a usage tier, it is what you pay each month before you reach the tier. You pay for the calls in the lower tiers, each at its own price. If the tier's minimum is higher than those calls cost, you pay the minimum. Before Crawlbase's next 10M requests, you pay $583 each month. 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 phones you get for the plan's price, counted in per. A call and a result are each one phone. 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. monthlyCap is for a call that costs 0 units, like a call on a flat fee. monthlyCap is the most phones 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\". 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 phones you get. 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 people one call takes on this plan. 1 when it takes one at a time. \"no limit\" when the provider says a call takes any number. Blank (null) when a call takes a list and the provider's pages don't say how long.","answer":"The way you get the call's answer. \"in the call\" when the call's response holds the answer. \"by polling or webhook\" when the call returns a job. Once the job is done, you get the answer from another call or at your webhook. \"in the call or by polling\" when the call returns the answer if it is ready in time. If it isn't ready, the call returns a job you check later. An Apify Actor returns a job when it runs past 5 minutes. \"in the call or by webhook\" when you choose in your request. \"by polling\" when only another call gets the answer. \"by webhook\" when only a URL you give gets the answer. Blank (null) when the provider's pages don't say.","latencyMs":"The median time a call takes. If we benchmarked the row's call, we show our benchmark's median, as in its API's benchmark columns: each call's time minus the mean time of three free calls to the same provider before it. If that mean is longer than the call, we use the provider's median baseline, capped at the call's time, so no time is below zero. For other rows, it is the time the provider's pages give, or one we measured when we added the row. Blank (null) when we have neither, or when we benchmarked the call and it gave no answer we could time. Milliseconds in the JSON and datacircle.csv, seconds on the sheet and in its CSV.","send":"What you give the call: a person's LinkedIn URL, email, or name and company. 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":24,"paid":{"ranked":{"Cached employee phone":[0.0998,0.1,0.495,1.99,3.96,4.8333,9.9,14.5,16.625,16.625,18.25,18.25,19.8333,19.8333,26.3333,26.3333,49,49,64.5,80,89.7,90,90,99.8,100,100,100,100,100,111.75,113.3333,120,141.6667,147,149,150,166,166,166.6667,198,198,208.3333,222.75,222.75,231.4815,234,234,245,245,245,249.5,250,280,280,280,285.7143,299,315.7895,333.3333,400,430,430,430,430,430,430,430,430,430,450,450,450,450,450,450,450,450,450,450,450,450,450,450,450,450,450,454,454,454,454,454,454,454,454,470,470,475,475,475,475,475,475,490,495,500,500,500,500,510,510,550,600,653.3333,700,890,950,1000,2970,3700,4850]},"bench":{"Cached employee phone|Prospeo|/enrich-person":{"data":0.48,"performance":0.6134969325153374,"median":163,"measured":163,"fastest":"AI Ark","fastestMedian":100,"fastestMeasured":17,"called":3,"inputs":15,"fewer":true,"days":["2026-10-22"],"row":"Prospeo"},"Cached employee phone|QuickEnrich|/api/employees/phone-search":{"data":0,"performance":null,"median":null,"measured":null,"fastest":"AI Ark","fastestMedian":100,"fastestMeasured":17,"called":15,"inputs":15,"fewer":true,"days":["2026-10-22","2026-10-23"],"row":"QuickEnrich","untimed":"Nothing to time means we could not time the provider. Maybe the provider gave no right answer. Or maybe we did not check for its answer often enough to tell how fast it came. A provider with a Nothing to time cell gets a Performance score of N/A."},"Cached employee phone|AI Ark|/v1/people/mobile-phone-finder":{"data":0.2222,"performance":1,"median":100,"measured":17,"fastest":"AI Ark","fastestMedian":100,"fastestMeasured":17,"called":9,"inputs":15,"fewer":true,"days":["2026-10-23"],"row":"AI Ark"}}},"alert":true,"bench":{"groups":[{"name":"Numbers found","note":"On 22 and 23 October 2026, we sent each provider up to 15 people, all from the same list. Some providers got the same person more than once. Time is each call minus a baseline, so the distance to the provider's servers drops out. People whose phone number we know from their signature on an email to us. Right number: the call gave that number. Another number: it gave a different one. No number: it gave none, or its call takes a LinkedIn profile we didn't have for the person. Where we called a provider more than once on a person, that person counts once, as the share of its calls that did so.","columns":[{"name":"Called","kind":"count","values":{"Prospeo":[3,15],"QuickEnrich":[15,15],"AI Ark":[9,15]}},{"name":"Right number","kind":"count","values":{"Prospeo":[2,3],"QuickEnrich":[0,15],"AI Ark":[2,9]}},{"name":"Another number","kind":"count","values":{"Prospeo":[0,3],"QuickEnrich":[1,15],"AI Ark":[1,9]}},{"name":"No number","kind":"count","values":{"Prospeo":[1,3],"QuickEnrich":[14,15],"AI Ark":[6,9]}}]},{"name":"Time per person","note":"Each time is how long the call took, minus a baseline. We time only right answers. We time our first call on each person. After the first run, we added new providers. We ran them side by side with the providers we already had, on the same people. For each provider in the side by side run, we use its side by side time, unless it used answers it saved earlier. We ran the whole side by side run on one day. If a provider used saved answers in the side by side run, we use the time of its first call on each person instead. A provider may answer a repeat call from answers it saved. So we don't time repeat calls, except in the side by side run. We sent a call again when it ran past our time limit. Sometimes the second call came back at once, because the first call had already started the search. We count the second call's answer but not its time. The baseline is the mean of three free calls to the same provider. We make the three free calls on the same connection, just before the timed call. If the three free calls take longer on average than the timed call, we use the median of all that provider's baselines instead. We never let the baseline be longer than the call. That way no time goes below zero. A cell that says Nothing to time means we could not time the provider. Maybe the provider gave no right answer. Or maybe we did not check for its answer often enough to tell how fast it came. A provider with a Nothing to time cell gets a Performance score of N/A.","columns":[{"name":"Median","kind":"ms","values":{"Prospeo":163,"QuickEnrich":null,"AI Ark":17}},{"name":"10th percentile","kind":"ms","values":{"Prospeo":83,"QuickEnrich":null,"AI Ark":15}},{"name":"90th percentile","kind":"ms","values":{"Prospeo":244,"QuickEnrich":null,"AI Ark":19}},{"name":"Fastest","kind":"ms","values":{"Prospeo":62,"QuickEnrich":null,"AI Ark":15}},{"name":"Slowest","kind":"ms","values":{"Prospeo":264,"QuickEnrich":null,"AI Ark":20}},{"name":"Baseline","kind":"ms","values":{"Prospeo":336,"QuickEnrich":null,"AI Ark":439}}]},{"name":"The phone call","note":"The provider's phone finder call, the person details it needs, and what one person cost on this run.","columns":[{"name":"Call","kind":"text","values":{"Prospeo":"POST api.prospeo.io/enrich-person","QuickEnrich":"GET app.quickenrich.io/api/employees/phone-search","AI Ark":"POST api.ai-ark.com/api/developer-portal/v1/people/mobile-phone-finder"}},{"name":"Input","kind":"text","values":{"Prospeo":"Work email, name, company website, LinkedIn URL","QuickEnrich":"LinkedIn URL, name, company website","AI Ark":"LinkedIn URL, name, company website"}},{"name":"Charged per person","kind":"text","values":{"Prospeo":"$0.245 a mobile found, $0.0245 when it finds only the email, nothing when neither","QuickEnrich":"$0.0048, nothing when not found","AI Ark":"$0.049, nothing when not found"}}]}],"inputs":{"said":"We don't list the 15 people we called, as they hold people's data.","keys":[],"rows":[]}},"more":"/assets/sheet-pG1guSxw.json"}