Request

Requests are made using POST data submissions to the API entry point.

Request

Endpoint

This is the endpoint to access the API.

Service	Method	Url
Corporate Reputation	POST	https://api.meaningcloud.com/reputation-2.0	Console

If you are working with an on-premises installation, you will need to substitute api.meaningcloud.com by your own server address.

Parameters

These are the supported parameters.

Name	Description	Values	Default
`key`	The access key is required for making requests to any of our web services. You can get a valid access key for free just by creating an account at MeaningCloud.		Required
`of`	Output format.	json	Optional. Default: `of=json`
`txt`	Input text that's going to be classified.	UTF-8 encoded text (plain text, HTML or XML).	Required.
`model`	Classification model to use. It will define into which categories the text may be classified.	CorporateReputation: model for reputation in English.	Required.
`lang`	Language of the text to analyze.	See supported languages	Required. Use `auto` to perform language detection.
`focus`	Focus on an specific organization. This feature redirects the analysis toward a specific organization. This is to say that if other related companies are not found in the fragment, the system will assume the text is referring to the focus organization by default. This extra contextual information can be very useful in many cases, such as: Twitter analysis, with texts taken from the company channel, internal references or newspaper articles focused on an organization of interest.		Optional.
`filter`	Filter results by company type. This feature allows you to filter results by semantity type, in accordance with the internal MeaningCloud and user ontologies, to avoid increased noise. For example, it may be useful to focus your analysis on your company and likely competition. You can take a look at the organization entity types defined in our ontology here.		Optional.
`rt`	This parameter indicates how reliable the text to analyze is (as far as spelling, typography, etc. are concerned), and influences how strict the engine will be when it comes to take these factors into account in the analysis.	y: enabled for all resources u: enabled just for user dictionary n: disabled	Optional. Default: `rt=u`