> ## Documentation Index > Fetch the complete documentation index at: https://aisa.one/docs/llms.txt > Use this file to discover all available pages before exploring further. # Content Analysis – Rating Distribution API > This endpoint will provide you with rating distribution data for the keyword and other parameters specified in the request. ## OpenAPI ````yaml openapi/dataforseo.json POST /dataforseo/content_analysis/rating_distribution/live openapi: 3.0.3 info: title: DataForSEO API version: 1.0.0 description: DataForSEO API endpoints exposed through the AIsa unified gateway. servers: - url: https://api.aisa.one/apis/v1 security: - BearerAuth: [] paths: /dataforseo/content_analysis/rating_distribution/live: post: summary: Content Analysis – Rating Distribution API description: >- This endpoint will provide you with rating distribution data for the keyword and other parameters specified in the request. operationId: post_dataforseo_content_analysis_rating_distribution_live requestBody: required: true content: application/json: schema: type: object properties: keyword: type: string description: >- target keyword required field UTF-8 encoding the keywords will be converted to a lowercase format; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: "keyword": "\"tesla palo alto\"" learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article keyword_fields: type: object description: >- target keyword fields and target keywords optional field use this parameter to filter the dataset by keywords that certain fields should contain; fields you can specify: title, main_title, previous_title, snippet you can indicate several fields; Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes; example: "keyword_fields": { "snippet": "\"logitech mouse\"", "main_title": "sale" } page_type: type: array items: type: string description: >- target page types optional field use this parameter to filter the dataset by page types possible values: "ecommerce", "news", "blogs", "message-boards", "organization" internal_list_limit: type: integer description: >- maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: top_domains text_categories page_categories countries languages default value: 1 maximum value: 20 search_mode: type: string description: >- results grouping type optional field possible grouping types: as_is – returns all citations for the target keyword one_per_domain – returns one citation of the keyword per domain default value: as_is positive_connotation_threshold: type: number description: >- positive connotation threshold optional field specified as the probability index threshold for positive sentiment related to the citation content if you specify this field, connotation_types object in the response will only contain data on citations with positive sentiment probability more than or equal to the specified value possible values: from 0 to 1 default value: 0.4 sentiments_connotation_threshold: type: number description: >- sentiment connotation threshold optional field specified as the probability index threshold for sentiment connotations related to the citation content if you specify this field, sentiment_connotations object in the response will only contain data on citations where the probability per each sentiment is more than or equal to the specified value possible values: from 0 to 1 default value: 0.4 initial_dataset_filters: type: array items: type: string description: >- initial dataset filtering parameters optional field initial filtering parameters that apply to fields in the Search endpoint you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: regex, not_regex, , , >, >=, =, , in, not_in, like,not_like, has, has_not, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters example: ["domain","", "logitech.com"] [["domain","","logitech.com"],"and",["content_info.connotation_types.negative",">",1000]] [["domain","","logitech.com"]], "and", [["content_info.connotation_types.negative",">",1000], "or", ["content_info.text_category","has",10994]]] for more information about filters, please refer to Content Analysis API – Filters learn more about the initial dataset filters in this help center article. rank_scale: type: string description: >- defines the scale used for calculating and displaying the rank values optional field you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale possible values: one_hundred — rank values are displayed on a 0–100 scale one_thousand — rank values are displayed on a 0–1000 scale default value: one_thousand learn more about how this parameter works in this Help Center article tag: type: string description: >- user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response required: - keyword responses: '200': description: Successful response content: application/json: schema: type: object properties: version: type: string description: the current version of the API status_code: type: integer description: >- general status code you can find the full list of the response codes here Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions status_message: type: string description: >- general informational message you can find the full list of general informational messages here time: type: string description: execution time, seconds cost: type: number description: total tasks cost, USD tasks_count: type: integer description: the number of tasks in the tasks array tasks_error: type: integer description: >- the number of tasks in the tasks array returned with an error tasks: type: array items: type: string description: array of tasks tasks.id: type: string description: >- task identifier unique task identifier in our system in the UUID format tasks.status_code: type: integer description: >- status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of the response codes here tasks.status_message: type: string description: >- informational message of the task you can find the full list of general informational messages here tasks.time: type: string description: execution time, seconds tasks.cost: type: number description: cost of the task, USD tasks.result_count: type: integer description: number of elements in the result array tasks.path: type: array items: type: string description: URL path tasks.data: type: object description: >- contains the same parameters that you specified in the POST request tasks.result: type: array items: type: string description: array of results tasks.result.type: type: string description: type of element = ‘content_analysis_rating_distribution’ tasks.result.min: type: number description: min rating on a distribution scale tasks.result.max: type: number description: max rating on a distribution scale tasks.result.metrics: type: object description: contains rating distribution metrics tasks.result.metrics.type: type: string description: type of element = ‘content_analysis_summary’ tasks.result.metrics.total_count: type: integer description: >- total amount of results in our database relevant to your request tasks.result.metrics.rank: type: integer description: >- rank of all URLs citing the keyword normalized sum of ranks of all URLs citing the target keyword tasks.result.metrics.top_domains: type: array items: type: string description: >- top domains citing the target keyword contains objects with top domains citing the target keyword and citation count per each domain tasks.result.metrics.sentiment_connotations: type: object description: >- sentiment connotations contains sentiments (emotional reactions) related to the target keyword citation and the number of citations per each sentiment; possible connotations: "anger", "happiness", "love", "sadness", "share", "fun" tasks.result.metrics.connotation_types: type: object description: >- connotation types contains types of sentiments (sentiment polarity) related to the keyword citation and citation count per each sentiment type; possible connotation types: "positive", "negative", "neutral" tasks.result.metrics.text_categories: type: array items: type: string description: >- text categories contains objects with text categories and citation count in each text category to obtain a full list of available categories, refer to the Categories endpoint tasks.result.metrics.page_categories: type: array items: type: string description: >- page categories contains objects with page categories and citation count in each page category to obtain a full list of available categories, refer to the Categories endpoint tasks.result.metrics.page_types: type: object description: >- page types contains page types and citation count per each page type tasks.result.metrics.countries: type: object description: >- countries contains countries and citation count in each country to obtain a full list of available countries, refer to the Locations endpoint tasks.result.metrics.languages: type: object description: >- languages contains languages and citation count in each language to obtain a full list of available languages, refer to the Languages endpoint '400': description: Bad request '401': description: Unauthorized '429': description: Rate limit exceeded '500': description: Internal server error components: securitySchemes: BearerAuth: type: http scheme: bearer ````