![]() In no event shall Eugene Roshal and Far Group be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services loss of use, data, or profits or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage. ![]() This software is provided by Eugene Roshal and Far Group "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. Neither the name of Eugene Roshal and Far Group nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. ![]() ![]() Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: العربية ∙ български ∙ català ∙ čeština ∙ kaszëbsczi ∙ Deutsch ∙ Ελληνικά ∙ English ∙ British English ∙ Esperanto ∙ español ∙ فارسی ∙ suomi ∙ français ∙ galego ∙ עברית ∙ magyar ∙ Bahasa Indonesia ∙ italiano ∙ 日本語 ∙ 한국어 ∙ македонски ∙ മലയാളം ∙ Bahasa Melayu ∙ norsk bokmål ∙ Nederlands ∙ norsk ∙ polski ∙ português ∙ português do Brasil ∙ română ∙ русский ∙ sicilianu ∙ slovenčina ∙ slovenščina ∙ Simple English ∙ svenska ∙ தமிழ் ∙ ไทย ∙ Türkçe ∙ українська ∙ 简体中文 ∙ 繁體中文 ∙ +/−Ĭopyright © 1996-2000 Eugene Roshal and Far Group RingLead (ZoomInfos OperationsOS) is a data-as-a-service (DaaS) platform that provides B2B commercial data delivered on the users terms boasting strong match rates, match accuracy, fill rate, and fill accuracy that combined can boost the users data reliability.
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