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GET
/
api
/
v1
/
company
/
news
Company News Monitoring
curl --request GET \
  --url https://api.example.com/api/v1/company/news/ \
  --header 'x-api-key: <x-api-key>'
{
  "status": "<string>",
  "data": [
    {}
  ],
  "count": 123,
  "total": 123,
  "limit": 123,
  "offset": 123,
  "ai_summary": "<string>",
  "type": "<string>",
  "url": "<string>",
  "title": "<string>",
  "company_name": "<string>",
  "publisher": "<string>",
  "published_date": "<string>",
  "author": "<string>",
  "countries": {},
  "sentiment": "<string>",
  "company_names": {},
  "primary_tag": "<string>",
  "original_language": "<string>",
  "secondary_tags": {},
  "newsworthiness_impact": "<string>",
  "primary_industry": "<string>",
  "secondary_industry": {},
  "scraped_text": "<string>"
}

Documentation Index

Fetch the complete documentation index at: https://docs.akta.pro/llms.txt

Use this file to discover all available pages before exploring further.

​
Overview

The Company News Monitoring API returns the latest news articles for a given company. Each result is enriched with an AI-generated summary, event classification, publisher metadata, sentiment, company mentions, geography, industry tags, and scraped article text Results are returned synchronously in the HTTP response.

​
Endpoint Details

  • Method: GET
  • Endpoint: /api/v1/company/news/
  • Base URL: https://api.akta.pro

​
Authentication requirements

Pass your API key in the x-api-key request header. 
-H "x-api-key: YOUR_API_KEY"

​
Request

​
Request Parameters

​
Header Parameters

​
x-api-key
string
required
API key used to authenticate the request.

​
Query Parameters

​
company
string
required
Company permalink or valid company URL for which news articles should be fetched. Example: tesla.
​
start_date
string
Start date for the news timeframe, formatted as YYYY-MM-DD.
​
end_date
string
End date for the news timeframe, formatted as YYYY-MM-DD.
​
category
string
Comma-separated list of news categories to include. Category names must be URL-encoded when sent in a raw query string.
​
limit
integer
Maximum number of news articles to return in the current response.
​
offset
integer
Number of records to skip before returning results. Use this with limit for pagination.
​
blacklisted
string
Comma-separated list of publisher domains to exclude from results. Include the publisher domain only, for example wokelo.ai.

​
Response

​
Successful Response Fields

Returns a JSON object with the following structure:
​
status
string
Request status. Successful requests return success.
​
data
array
Array of company news article objects.
​
count
integer
Number of article objects returned in the current response.
​
total
integer
Total number of articles matching the request filters.
​
limit
integer
Maximum number of articles requested for the current response.
​
offset
integer
Number of records skipped before the current response.

​
Article Object Fields

​
ai_summary
string
AI-generated summary of the article.
​
type
string
Event type assigned to the article.
​
url
string
Source article URL.
​
title
string
Article headline.
​
company_name
string
Primary company associated with the article.
​
publisher
string
Publisher or source domain label.
​
published_date
string
Publication timestamp returned by the API.
​
author
string
Article author, when available.
​
countries
array of strings
Countries associated with the article.
​
sentiment
string
Sentiment classification for the article. Example: Positive, Neutral.
​
company_names
array of objects
Companies mentioned in the article, with name and website where available.
​
primary_tag
string
Primary news category or event tag assigned to the article.
​
original_language
string
Original language code for the article. Example: EN.
​
secondary_tags
array of strings
Additional categories or event tags assigned to the article.
​
newsworthiness_impact
string
Estimated impact level of the article. Example: Medium.
​
primary_industry
string
Primary industry classification associated with the article.
​
secondary_industry
array of strings
Additional industry classifications associated with the article.
​
scraped_text
string
Extracted article text.