Libraries tagged by analytics tracking

A high-level machine learning and deep learning library for the PHP language.

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Alibaba Cloud Tracing Analysis (20190808) SDK Library for PHP

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# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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Paragon Processing PlatformThis document is to provide a detailed description of how a developer or software solution provider can integrate with the Paragon Processing Platform (Paragon Platform). The Paragon Platform is for developers who wish to use Paragon's processing services within their software applications. The Paragon Platform can stand alone as a web-based storefront with (or without) attached card readers or may be used in combination with point-of-sale (POS) and order entry applications.The Paragon Platform accepts payments in many forms, including check, credit, debit, gift, loyalty and EBT cards. Payments may be taken online, over the telephone, from a mobile phone and at physical store locations. In addition to handling large volumes of payment transactions, the Paragon Platform manages and settles batches, protects sensitive card information, administers billing contracts and produces operational and analytical reports. Application Programming Interfaces (APIs) With our API, software systems and devices communicate with the Paragon Platform by exchanging messages. Client Application formulates a message and transmits the request to the Paragon Platform. The Paragon Platform translates the request and relays it to the Payment Processing Network. The Payment Processing Network processes the request and returns a response to the Paragon Platform. The Paragon Platform translates the response and relays it to the Client Application.The Path to Integration Step 1: Open a Test Account Visit https://developer.paragonsolutions.com/testaccount to register for a free test account. Once registered you have instant access to your test account credentials and all the documentation you need to get started. Head over to the library and make sure to check out all of our API's to learn about the Paragon Processing Platform transaction requests and responses.Step 2: Code & CertifyOnce in the Paragon Development portal, begin your certification or have an experienced Paragon integration specialist guide you through the testing process. Once coding and testing are completed submit your request for certification. Our team will then perform a detailed review of your integration to make sure your integration meets all your business requirements for success. Step 3: Go Live!After final review and testing your software solution is ready to begin taking live payments! We know, an integration that is easy sounds too good to be true. Don't take our word for it, start your integration today! Developer NotesInstall your development platform according to its product documentation.Read through all the steps before you get started. We recommend reviewing the rest of this guide to familiarize yourself with the Paragon Processing Platform's terms, capabilities, web services and operations.

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