Libraries tagged by api v2
friendsofapi/billogram
13079 Downloads
Library for connecting to the Billogram v2 API
espresso-dev/twitter
964 Downloads
A simple PHP class for accessing the Twitter V2 API
compwright/servicetitan
5210 Downloads
ServiceTitan v2 API client for PHP
keapgeek/laravel-keap
83 Downloads
Laravel Package for accessing the Keap REST API (v1/v2)
fiteco-group/kimai-client
156 Downloads
Kimai V2 PHP Api client.
jespanag/customerio
878 Downloads
PHP API for Customer.io with v2 support
inda-hr/php_sdk
413 Downloads
# 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.
ssipak/imagetyperzapi
4554 Downloads
ImagetyperzAPI PHP is a super easy to use bypass captcha API wrapper for imagetyperz.com captcha service
spatie/laravel-tinker-tools
50203 Downloads
Use short class names in an Artisan tinker session
myphpnotes/cpanel
524 Downloads
A simple, lightweight library to access JSON cPanel v2 and cPanel UAPI in PHP
martian/laracaptcha
156 Downloads
A Laravel package to seamlessly use hCapthca or reCaptcha on your forms or RESTful APIs
0qwertyy/capsolver-php
503 Downloads
PHP package for easy integration with CapSolver API
umimood/dearapi
4452 Downloads
PHP Library for dear systems API v2 https://dearinventory.docs.apiary.io
trexima/harvey-client
4246 Downloads
Client for Harvey API v2
lapaygroup/metaship-sdk
2872 Downloads
SDK для работы с API V2 агрегатора MetaShip (https://metaship.ru)