News Signals

Overview

News Signals capture real-time company events—funding rounds, acquisitions, partnerships, product launches, executive hires, earnings reports, and expansion announcements.

We monitor news sources across 4M+ companies, extracting and categorizing events into 30+ subtypes. Each signal includes the source article, a concise overview sentence, and structured metadata (location, people involved, financing type, related companies, etc.) so you can act quickly on timely triggers.

The result: you know when a prospect just raised funding, hired a new CXO, opened a new office, or announced a product launch—the exact moments when budgets unlock, priorities shift, and vendors get evaluated.

Available Subtypes

Subtype Enum	Category	Description
`acquires`	strategic	Company acquires another company or assets
`attends_event`	market	Company attends or sponsors an industry event
`closes_offices_in`	operations	Company closes offices in a location
`decreases_headcount_by`	workforce	Company reduces workforce
`expands_facilities`	operations	Company expands physical facilities
`expands_offices_in`	operations	Company expands offices in existing location
`expands_offices_to`	operations	Company opens offices in new location
`files_suit_against`	risk	Company files lawsuit against another entity
`funding`	financial	Company receives financing (Series A, B, C, seed, etc.)
`goes_public`	financial	Company IPO or public listing
`has_earnings`	financial	Company reports earnings results
`has_issues_with`	risk	Company experiences issues (security, product, legal)
`has_revenue`	financial	Company reports revenue figures
`hires`	leadership	Company hires new executive or key person
`identified_as_competitor_of`	competitive	Company identified as competitor to another
`increases_headcount_by`	workforce	Company grows workforce
`integrates_with`	technology	Company announces integration with another product/service
`invests_into`	financial	Company makes investment into another company
`invests_into_assets`	financial	Company invests in assets (real estate, equipment, etc.)
`is_developing`	technology	Company developing new product or technology
`launches`	technology	Company launches new product or service
`leaves`	leadership	Executive or key person leaves the company
`merges_with`	strategic	Company merges with another company
`opens_new_location`	operations	Company opens new physical location
`partners_with`	strategic	Company announces partnership
`promotes`	leadership	Company promotes employee to new role
`receives_award`	market	Company receives industry award or recognition
`receives_financing`	financial	Company receives financing (general)
`recognized_as`	market	Company recognized for achievement
`retires_from`	leadership	Executive retires from the company
`sells_assets_to`	strategic	Company sells assets to another entity
`signs_new_client`	revenue	Company announces new customer win

Signal Categories

Category	Description
`financial`	Funding, earnings, revenue, investments
`strategic`	Acquisitions, mergers, partnerships, asset sales
`operations`	Office openings/closings, facility expansion
`workforce`	Headcount increases/decreases
`leadership`	Hires, promotions, departures, retirements
`technology`	Product launches, integrations, R&D
`market`	Events, awards, recognition
`risk`	Lawsuits, security issues, product problems
`competitive`	Competitor identification
`revenue`	New client wins

Schema

Example: Funding Event

{
  "signal_id": "a7d3e1f2-5b84-4c9a-b6e2-9f1a8c3d7e04",
  "signal_name": "Funding",
  "signal_type": "news",
  "signal_subtype": "receives_financing",
  "association": "company",
  "detected_at": "2026-04-14T09:15:00Z",
  "company": {
    "name": "Vanta",
    "domain": "vanta.com",
    "linkedin_url": "linkedin.com/company/vanta",
    "industries": ["Software Development", "Cybersecurity"],
    "employee_count_low": 501,
    "employee_count_high": 1000
  },
  "data": {
    "overview": "Vanta, the automated security and compliance platform, has closed a $150 million Series C round led by Craft Ventures, bringing its valuation to $2.5 billion.",
    "summary": "Vanta closed $150M Series C led by Craft Ventures at $2.5B valuation on Apr 14th '26.",
    "title": "Vanta raises $150M Series C to expand automated compliance platform",
    "body": "Vanta raises $150M Series C at $2.5B valuation. The funding will accelerate expansion into enterprise compliance automation...",
    "confidence": 0.97,
    "amount": 150000000,
    "financing_type": "series_c",
    "financing_type_tags": ["equity"],
    "is_planned": false,
    "published_at": "2026-04-14T08:00:00Z",
    "effective_date": "2026-04-14",
    "location": "San Francisco, California, United States, North America",
    "location_data": [
      {
        "city": "San Francisco",
        "state": "California",
        "country": "United States",
        "continent": "North America"
      }
    ],
    "product_tags": [],
    "job_title_tags": [],
    "assets_tags": [],
    "image_url": "https://techcrunch.com/wp-content/uploads/2026/04/vanta-series-c.jpg",
    "url": "https://techcrunch.com/2026/04/14/vanta-raises-150m-series-c/"
  }
}

Example: Partnership

{
  "signal_id": "b2c4d6e8-1a3b-5c7d-9e0f-2a4b6c8d0e1f",
  "signal_name": "Partners With",
  "signal_type": "news",
  "signal_subtype": "partners_with",
  "association": "company",
  "detected_at": "2026-05-20T14:30:00Z",
  "company": {
    "name": "Acme Corp",
    "domain": "acme.com",
    "linkedin_url": "linkedin.com/company/acme-corp",
    "industries": ["Software Development"],
    "employee_count_low": 201,
    "employee_count_high": 500
  },
  "data": {
    "overview": "Acme Corp announces strategic partnership with K Line Group to expand logistics automation across Asia-Pacific.",
    "summary": "Acme Corp partners with K Line Group for logistics automation expansion.",
    "title": "Acme Corp and K Line Group announce strategic partnership",
    "body": "Acme Corp and K Line Group today announced a strategic partnership...",
    "confidence": 0.85,
    "author": "Jane Smith",
    "is_planned": false,
    "related_company_domain": "kline.co.jp",
    "related_company_name": "K Line Group",
    "published_at": "2026-05-20T14:30:00Z",
    "location": "Tokyo, Japan, Eastern Asia, Asia",
    "location_data": [
      {
        "city": "Tokyo",
        "state": null,
        "country": "Japan",
        "region": "Eastern Asia",
        "continent": "Asia"
      }
    ],
    "financing_type_tags": [],
    "product_tags": [],
    "job_title_tags": [],
    "assets_tags": [],
    "image_url": "https://example.com/partnership.jpg",
    "url": "https://example.com/acme-kline-partnership"
  }
}

Example: Headcount Growth

{
  "signal_id": "f4e5d6c7-8a9b-0c1d-2e3f-4a5b6c7d8e9f",
  "signal_name": "Increases Headcount",
  "signal_type": "news",
  "signal_subtype": "increases_headcount_by",
  "association": "company",
  "detected_at": "2026-05-22T10:00:00Z",
  "company": {
    "name": "Stripe",
    "domain": "stripe.com",
    "linkedin_url": "linkedin.com/company/stripe",
    "industries": ["Financial Services", "Software Development"],
    "employee_count_low": 5001,
    "employee_count_high": 10000
  },
  "data": {
    "overview": "Stripe adds 77 new employees across engineering and product teams in Q2 2026.",
    "summary": "Stripe increases headcount by 77.",
    "title": "Stripe expands engineering team with 77 new hires",
    "body": "Stripe has expanded its engineering and product teams...",
    "confidence": 0.82,
    "headcount": 77,
    "is_planned": false,
    "published_at": "2026-05-22T10:00:00Z",
    "location": "San Francisco, California, United States, North America",
    "location_data": [
      {
        "city": "San Francisco",
        "state": "California",
        "country": "United States",
        "continent": "North America"
      }
    ],
    "financing_type_tags": [],
    "product_tags": [],
    "job_title_tags": [],
    "assets_tags": [],
    "url": "https://example.com/stripe-hiring"
  }
}

Example: Earnings Reported

{
  "signal_id": "dc0ad8dc-a2f6-4d2c-9701-d69e72c6442b",
  "signal_name": "Earnings Reported",
  "signal_type": "news",
  "signal_subtype": "has_earnings",
  "association": "company",
  "detected_at": "2026-05-18T12:27:04Z",
  "company": {
    "name": "Pharmaniaga",
    "domain": "pharmaniaga.com",
    "linkedin_url": "linkedin.com/company/pharmaniaga-berhad",
    "industries": ["Pharmaceutical Manufacturing"],
    "employee_count_low": 51,
    "employee_count_high": 200
  },
  "data": {
    "overview": "Pharmaniaga's net profit up 6pct in Q1 to RM31.47mil.",
    "summary": "Pharmaniaga Group has earnings of $7.91M.",
    "title": "Pharmaniaga's net profit up 6pct in Q1 to RM31.47mil.",
    "body": "Pharmaniaga Bhd's net profit rose 6% in the first quarter...",
    "confidence": 0.44,
    "amount": 7910000,
    "ticker": "KL:PHARMA",
    "is_planned": false,
    "published_at": "2026-05-18T12:27:04Z",
    "location_data": [],
    "financing_type_tags": [],
    "product_tags": [],
    "job_title_tags": [],
    "assets_tags": [],
    "image_url": "https://assets.nst.com.my/images/socialmedia/682F9D838473ED55D8442B86A77F31C3_data.jpg",
    "url": "https://www.nst.com.my/business/corporate/2026/05/1442574/pharmaniagas-net-profit-6pct-q1-rm3147mil"
  }
}

Field Reference

Top-Level Fields

Field	Type	Required	Description
`signal_id`	string (UUID)	✓	Unique identifier for this signal
`signal_name`	string	✓	Human-readable event name (e.g. "Funding", "Hires")
`signal_type`	string	✓	Always `"news"`
`signal_subtype`	string	✓	News event subtype (see Available Subtypes above)
`association`	string	✓	Entity association type — always `"company"`
`detected_at`	string (ISO 8601)	✓	When the event was detected

Company Object

Field	Type	Required	Description
`company.name`	string	✓	Company name
`company.domain`	string	✓	Company website domain (primary match key)
`company.linkedin_url`	string		LinkedIn company URL (alternate match key)
`company.industries`	array[string]		Industry classifications
`company.employee_count_low`	integer		Lower bound of employee count range
`company.employee_count_high`	integer		Upper bound of employee count range

Data Object

Field	Type	Required	Description
`data.overview`	string	✓	Key sentence from the source article describing the event
`data.summary`	string	✓	Brief structured summary of the event
`data.title`	string	✓	Article headline
`data.body`	string		Full article text
`data.url`	string	✓	Source article URL
`data.author`	string		Article author name
`data.confidence`	float		Confidence score (0.0–1.0) representing the ML classifier’s certainty that the article correctly belongs to the assigned event subtype. Higher values indicate the article language unambiguously maps to the category (e.g. explicit funding announcements score 0.90+), while lower values indicate the classification required more inference from context.
`data.is_planned`	boolean		Whether this is a planned/future event vs. already happened
`data.published_at`	string (ISO 8601)		Article publication date
`data.effective_date`	string		Date the event takes/took effect (e.g. hire date, event date)
`data.image_url`	string		Article image URL
`data.amount`	number		Dollar amount (normalized to USD integer). Present for funding, earnings, revenue, investments
`data.headcount`	integer		Number of employees added or removed. Present for workforce signals
`data.ticker`	string		Stock ticker (e.g. `"NASDAQ:PBPB"`, `"KL:PHARMA"`). Present for public companies
`data.financing_type`	string		Specific financing round type (e.g. `"series_b"`, `"pre_seed"`, `"series_a"`). Present for funding signals
`data.location`	string		Human-readable location string: `"City, State, Country, Region, Continent"`
`data.location_data`	array[object]		Structured location data (see below)
`data.related_company_domain`	string		Domain of the other company involved (M&A, partnerships, investments)
`data.related_company_name`	string		Name of the other company involved
`data.financing_type_tags`	array[string]		Types of financing: `angel`, `debt`, `donation`, `equity`, `grant`, `ipo`, `seed`
`data.job_title_tags`	array[string]		Job function categories for hire/promotion events
`data.product_tags`	array[string]		Product category tags for launches
`data.assets_tags`	array[string]		Asset category tags for acquisitions/investments
`data.contact`	string		Person mentioned in the news event
`data.job_title`	string		Job title of the person (for hires, promotions, departures)
`data.event`	string		Event name (for `attends_event`)
`data.award`	string		Award name (for `receives_award`)
`data.recognition`	string		Recognition details (for `recognized_as`)
`data.product`	string		Product name (for `launches`, `is_developing`)
`data.product_data`	object		Structured product data (see below)
`data.assets`	string		Assets involved (for `acquires`, `sells_assets_to`, `invests_into_assets`)
`data.vulnerability`	string		Issue/vulnerability details (for `has_issues_with`)

Location Data Object

Field	Type	Description
`location_data[].city`	string	City name
`location_data[].state`	string	State/province (null if not applicable)
`location_data[].zip_code`	string	Postal code (null if not available)
`location_data[].country`	string	Full country name (e.g. "United States")
`location_data[].region`	string	Sub-continental region (e.g. "Northern Europe")
`location_data[].continent`	string	Continent name
`location_data[].fuzzy_match`	boolean	Whether the location was fuzzy-matched

Product Data Object

Field	Type	Description
`product_data.name`	string	Normalized product name
`product_data.full_text`	string	Raw extracted product text from the article
`product_data.release_type`	string	Type of release (e.g. launch, update, beta)
`product_data.fuzzy_match`	boolean	Whether the product name was fuzzy-matched from the text

Subtype-Specific Fields

Different subtypes include different optional fields:

Subtype	Key Fields Present
`funding`, `receives_financing`	`amount`, `financing_type`, `financing_type_tags`, `effective_date`
`has_earnings`, `has_revenue`	`amount`, `ticker`
`invests_into`, `invests_into_assets`	`amount`, `related_company_domain`, `related_company_name`
`hires`, `promotes`, `leaves`, `retires_from`	`contact`, `job_title`, `job_title_tags`
`increases_headcount_by`, `decreases_headcount_by`	`headcount`
`partners_with`, `acquires`, `merges_with`	`related_company_domain`, `related_company_name`
`launches`, `is_developing`, `integrates_with`	`product`, `product_data`, `product_tags`
`attends_event`	`event`, `effective_date`
`receives_award`	`award`
`recognized_as`	`recognition`
`has_issues_with`	`vulnerability`
`opens_new_location`, `expands_offices_to`, `closes_offices_in`	`location`, `location_data`
`sells_assets_to`	`assets`, `assets_tags`, `related_company_domain`

Coverage

Bucket: gs://autobound-news-v4/
Refresh: Weekly
Coverage: 4,000,000+ companies
Subtypes: 32