Libraries tagged by php restful

Library for writing RESTful PHP clients.

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Library that provides restful resource for PHP.

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PHP SDK for Moodle RESTful APIs

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Build RESTful APIs in PHP in minutes. Define entities, get automatic CRUD, JWT auth, validation, and OpenAPI docs.

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Fast, simple and practical php framework

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PHP Wrapper for PROFFIX REST API

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PHP library for parsing RSQL or FIQL queries. Designed for use in RESTful APIs.

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The Browse API lets shoppers search eBay listings by keyword, category, GTIN, product, charity, compatibility criteria, or image, and refine results with filters such as aspects, compatibility, field values, and UI parameters through the item_summary resource.The item resource lets applications retrieve detailed information for a specific item or all items in an item group, and check whether a product is compatible with a specified item, such as whether a specific vehicle is compatible with a specific part. The item resource also supports legacy item identifiers alongside RESTful item IDs, which use different formats. This helps developers work with stored or historical legacy item IDs when using the Browse API.All methods in the Browse API require an Application access token, which is obtained using the client credentials grant flow.

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PHP API client for RestCountries.EU

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Data composition/decoration for php-crufd-wizard library including url query language

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Free library for PHP Framework crufd operations including url query language

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The [Invoicetronic API][2] is a RESTful service that allows you to send and receive invoices through the Italian [Servizio di Interscambio (SDI)][1], or Interchange Service. The API is designed to be simple and easy to use, abstracting away SDI complexity while providing complete control over the invoice send/receive process. It provides advanced features as encryption at rest, multi-language pre-flight invoice validation, multiple upload formats, webhooks, event logging, client SDKs, and CLI tools. For more information, see [Invoicetronic website][2] ## Before you start For the full integration guide, tutorials, SDKs and quickstarts, see the **[Documentation](https://invoicetronic.com/en/docs/)**. A few cross-cutting topics worth knowing before integrating: - **[Prerequisites](https://invoicetronic.com/en/docs/prerequisites/)** — what you need to start in Sandbox and what's required to move to production. - **[API Keys](https://invoicetronic.com/en/docs/apikeys/)** — how `ik_live_` and `ik_test_` keys select the environment. - **[Sandbox](https://invoicetronic.com/en/docs/sandbox/)** — free test environment that mirrors the live workflow, with no credits consumed. - **[Rate Limiting](https://invoicetronic.com/en/docs/ratelimiting/)** — per-second, per-minute and per-day limits; how to handle `429 Too Many Requests`. - **[Pagination](https://invoicetronic.com/en/docs/pagination/)** — `page` and `page_size` parameters and the `Invoicetronic-Total-Count` response header. - **[CORS](https://invoicetronic.com/en/docs/cors/)** — calling the API from the browser; allowed origins are configured per key. - **[Webhooks](https://invoicetronic.com/en/docs/webhooks/)** — real-time event notifications with HMAC-SHA256 signature validation. - **[Localization](https://invoicetronic.com/en/docs/accept-language/)** — use the `Accept-Language` header to receive error messages in Italian, English or German. [1]: https://www.fatturapa.gov.it/it/sistemainterscambio/cose-il-sdi/ [2]: https://invoicetronic.com/

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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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Composer Package for PHP (Laravel or Pure PHP), Wrapper to use the NEM blockchain REST API and SDK with NIS compatibility.

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A PHP micro-framework for use as a frontend and/or backend

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