News Event

Various news events including funding, product launches, M&A, etc.

The News Events insight provides information about significant events or news related to a company, such as acquisitions, awards, partnerships, product launches, and more. This insight can be retrieved using the company's domain URL, the company's LinkedIn URL, the contact's LinkedIn URL, or the contact's email address.

🚧

Note: the only current available parameters for generate-insights are contactEmail and contactLinkedinUrl.

• The system will pass back an array of insights, ranked by relevance.
• The below documentation still accurately covers our schema, and demonstrates what might exist in that array.
• Soon, you'll be able to specify certain insight types in your API request. Coming Q3 2024.

Retrieving News Event Insight

To retrieve the News Event insight using the Autobound Insights API, you need to make a POST request to the /generate-insights endpoint with the appropriate parameters..

Python

import requests

url = 'https://api.autobound.ai/api/external/generate-insights/v1.0.0'
headers = {
    'X-API-KEY': 'YOUR-API-KEY-HERE',
    'Content-Type': 'application/json'
}
data = {
    "contactEmail": "[email protected]",
    "contactLinkedinUrl": "https://www.linkedin.com/in/johndoe",
    "companyUrl": "https://www.example.com",
    "companyLinkedinUrl": "https://www.linkedin.com/company/example",
    # You can use either contactEmail, contactLinkedInUrl, companyUrl, or companyLinkedinUrl
    "insightType": "NEWS_EVENT"
}

response = requests.post(url, headers=headers, json=data)
print(response.text)

Response Format

The API will respond with the News Events insight in JSON format. The response will contain an array of objects, each representing a news event. Each object will have the following fields:

json

{
  "data": [
    {
      "subtype": "Launches new product",
      "company": "Autobound",
      "articleTitle": "Autobound Launches Personalization API to Help Others Build Insight-Driven AI Writers",
      "articleBrief": "Autobound, a leading AI startup revolutionizing the way salespeople conduct research and write personalized emails, announced the launch of their public-facing API.",
      "articleBody": "Autobound launches personalization API to help others build insight-driven AI writers.\n\nAutobound, a leading AI startup revolutionizing the way salespeople conduct research and write personalized emails, announced the launch of their public-facing API. This groundbreaking development empowers other companies to launch their own insight-driven AI writers faster.\n\nAutobound's API generates highly personalized and relevant emails in seconds. All it requires is the email address or LinkedIn URL of the seller and the prospect. \"Our API then outputs an email so personalized that it appears to have taken 10 minutes to write,\" said Daniel Wiener, Autobound Co-Founder and CEO.\n\nThe API leverages real-time company and person-level insights from across the web, including news, LinkedIn activity, market trends, financials, podcast mentions, tech-used, shared experiences, and more.\n\n\"Product teams building AI writers gain a significant advantage working with us. The insight data we pump through our system might otherwise take 10 engineers 2 years to develop, we've been working on our platform for 5 years now. Generative AI is advancing at an unprecedented pace, and time is every company's most valuable asset if they want to stay relevant,\" added Wiener.\n\nThe API's offers customization, allowing users to specify the writing style (such as \"CXO Pitch\") and the type of content outputted. It can generate LinkedIn connection requests, 1-line ice breakers, call scripts, and even offers a \"custom\" option where the type of content can be requested in a prompt-like manner.\n\nAutobound's API is already being used by enterprise sales and marketing technology companies, some of which have built and launched their own writers in under 2 weeks. The API is priced under a credit model, where credits are consumed for each output generated.\n\nLast year, Autobound raised $4 million from investors including Dundee VC, AIX ventures, Henry Schuck, and the USC Marshall Venture Fund.",
      "articleSource": "martech360.com",
      "dateFound": "2024-01-12T11:29:32Z",
      "title": "Autobound launches public-facing API.",
      "url": "https://martech360.com/marketing-automation/email-marketing/autobound-launches-personalization-api-to-help-others-build-insight-driven-ai-writers/",
      "publishedDate": "2024-01-12T12:29:32.000Z"
    }
  ]
}

Field Descriptions

• subtype (string): The subtype of the news event. Possible values include:
  • Acquisition
  • Asset sales/divestitures
  • Award
  • Closes office
  • Company buys assets
  • Company hires new leadership
  • Company makes investment
  • Decreases headcount
  • Developing new offering
  • Employee promoted to leadership role
  • Expands existing offices
  • Expands facilities
  • Files lawsuit
  • Funding
  • Increases headcount
  • Initial public offering (IPO)
  • Launched a new integration
  • Launches new offering
  • Left company
  • Merger
  • New customer
  • New or existing competitor
  • Opens new office
  • Opens new service location
  • Partnership
  • Recognition
  • Retires
  • Vulnerability problems
• company (string): The name of the company associated with the news event.
• articleTitle (string): The title of the news article.
• articleBrief (string): A brief summary or excerpt of the news article.
• articleBody (string): The full body or content of the news article.
• articleSource (string): The source or publication where the news article was found.
• dateFound (string): The date and time when the news article was found, in ISO 8601 format.
• title (string): The title or headline of the news event.
• url (string): The URL of the news article.
• publishedDate (string): The date and time when the news article was published, in ISO 8601 format.

Use Cases

The News Events insight is valuable for various use cases, such as:

• Competitive Intelligence: Monitor news events related to competitors to stay informed about their activities, product launches, partnerships, and other significant developments. This information can help you anticipate market changes, identify potential threats or opportunities, and adjust your strategies accordingly.
• Sales Enablement: Provide sales teams with relevant news events about their target accounts or prospects. This information can be used to personalize outreach, demonstrate industry knowledge, and engage in timely and relevant conversations with potential customers.
• Investor Relations: Track news events related to your own company or portfolio companies to stay informed about their public announcements, milestones, and achievements. This information can be used to communicate with investors, stakeholders, and the media, as well as to monitor the perception and reputation of the company.
• Partnership Opportunities: Identify potential partnership opportunities by monitoring news events related to companies in your industry or ecosystem. News about product launches, expansions, or strategic initiatives can indicate areas where collaboration or synergies may be possible.
• Market Research: Analyze news events across multiple companies or an entire industry to identify trends, patterns, and emerging themes. This information can help inform market research, product development, and strategic decision-making.
• Thought Leadership: Leverage news events to create thought leadership content, such as blog posts, articles, or social media updates. By providing timely and insightful commentary on industry news and developments, you can establish your company or individuals as experts and thought leaders in your field.

By leveraging the News Events insight, you can stay informed about significant developments and activities related to companies of interest, enabling you to make data-driven decisions, identify opportunities, and engage in relevant and timely interactions with customers, partners, and stakeholders.