Libraries tagged by api usage

# 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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CurlHelper is a streamlined PHP utility for easy cURL usage, supporting GET, POST, PUT, and DELETE methods. It simplifies HTTP requests by offering straightforward options and header settings, making web API interactions more accessible and efficient.

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Common data transformers for usage in REST APIs

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Imgur API php client for easy usage

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API usage cards for Laravel Pulse

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AJAX-API for usage with TYPO3, based on simple ViewHelpers and some JS

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PHP libary for Barion Smart Gateway API integration for composer usage

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Usage of GraphQL on the Nette backend

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PHP Library for Flowdock API usage

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Laravel Spam Protector class to check ip, name, email for spam that uses the StopForumSpam Api https://www.stopforumspam.com/usage

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Use this API specification as a reference for the API endpoints you can use to interact with your Falcon environment. These endpoints support authentication via OAuth2 and interact with detections and network containment. For detailed usage guides and examples, see our [documentation inside the Falcon console](https://falcon.eu-1.crowdstrike.com/support/documentation). To use the APIs described below, combine the base URL with the path shown for each API endpoint. For commercial cloud customers, your base URL is `https://api.eu-1.crowdstrike.com`. Each API endpoint requires authorization via an OAuth2 token. Your first API request should retrieve an OAuth2 token using the `oauth2/token` endpoint, such as `https://api.eu-1.crowdstrike.com/oauth2/token`. For subsequent requests, include the OAuth2 token in an HTTP authorization header. Tokens expire after 30 minutes, after which you should make a new token request to continue making API requests.

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An open-source library to connect to Amazon's MWS web services in an object-oriented manner, with a focus on intuitive usage.

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An open-source library to connect to Amazon's MWS web services in an object-oriented manner, with a focus on intuitive usage.

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SeAT plus package that handles authentication agnostic to SeAT plus usage as pure API or Web

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Allows for easy usage of the Weather Online api in your Laravel application. Currently only the premium API is supported.

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