Libraries tagged by hide prices

# 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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Data Table library with server-side processing and a VueJS component

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T3 DataTable – a server-side searchable, sortable, paginated DataTable extension for TYPO3 backend modules, built on the DataTables protocol with Doctrine DBAL.

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A package library to use laravel pagination with datatables and mongodb.

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Data Table library with server-side processing and a VueJS component

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Semitexa Workflow — stateful business process orchestration with code-defined state machines, transition guards, side-effects, history, and scheduler integration

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Image processing library of the Ride framework

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DataTables.js server-side processing for Doctrine Entities

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Welcome to the CityPay API, a robust HTTP API payment solution designed for seamless server-to-server transactional processing. Our API facilitates a wide array of payment operations, catering to diverse business needs. Whether you're integrating Internet payments, handling Mail Order/Telephone Order (MOTO) transactions, managing Subscriptions with Recurring and Continuous Authority payments, or navigating the complexities of 3-D Secure authentication, our API is equipped to support your requirements. Additionally, we offer functionalities for Authorisation, Refunding, Pre-Authorisation, Cancellation/Voids, and Completion processing, alongside the capability for tokenised payments. ## Compliance and Security Overview Ensuring the security of payment transactions and compliance with industry standards is paramount. Our API is designed with stringent security measures and compliance protocols to safeguard sensitive information and meet the rigorous requirements of Visa, MasterCard, and the PCI Security Standards Council. ### Key Compliance and Security Measures * **TLS Encryption**: All data transmissions must utilise TLS version 1.2 or higher, employing [strong cryptography](#enabled-tls-ciphers). Our infrastructure strictly enforces this requirement to maintain the integrity and confidentiality of data in transit. We conduct regular scans and assessments of our TLS endpoints to identify and mitigate vulnerabilities. * **Data Storage Prohibitions**: Storing sensitive cardholder data (CHD), such as the card security code (CSC) or primary account number (PAN), is strictly prohibited. Our API is designed to minimize your exposure to sensitive data, thereby reducing your compliance burden. * **Data Masking**: For consumer protection and compliance, full card numbers must not be displayed on receipts or any customer-facing materials. Our API automatically masks PANs, displaying only the last four digits to facilitate safe receipt generation. * **Network Scans**: If your application is web-based, regular scans of your hosting environment are mandatory to identify and rectify potential vulnerabilities. This proactive measure is crucial for maintaining a secure and compliant online presence. * **PCI Compliance**: Adherence to PCI DSS standards is not optional; it's a requirement for operating securely and legally in the payments ecosystem. For detailed information on compliance requirements and resources, please visit the PCI Security Standards Council website [https://www.pcisecuritystandards.org/](https://www.pcisecuritystandards.org/). * **Request Validation**: Our API includes mechanisms to verify the legitimacy of each request, ensuring it pertains to a valid account and originates from a trusted source. We leverage remote IP address verification alongside sophisticated application firewall technologies to thwart a wide array of common security threats. ## Getting Started Before integrating with the CityPay API, ensure your application and development practices align with the outlined compliance and security measures. This preparatory step is crucial for a smooth integration process and the long-term success of your payment processing operations. For further details on API endpoints, request/response formats, and code examples, proceed to the subsequent sections of our documentation. Our aim is to provide you with all the necessary tools and information to integrate our payment processing capabilities seamlessly into your application. Thank you for choosing CityPay API. We look forward to supporting your payment processing needs with our secure, compliant, and versatile API solution.

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Form handling for Craft developers. Process, test, store, send email notifications, configure client side validation, include powerful spam protection, and more.

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DataTables Quick is a lightweight and fast JavaScript library that simplifies the process of displaying data from databases. With minimal server-side code required, DataTables Quick generates queries automatically and saves time.

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Image processor UI for a Ride web application

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PHP library for processing open data published by FIDE

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Data Table library with server-side processing and a VueJS component

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Data Table library with server-side processing and a VueJS component

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