Signal Database Schema

Every signal in the Autobound Signal Database follows a normalized schema. This ensures consistent parsing and joining across all 350+ signal types.

Base Schema

All signals share this structure:

{
  "signal_id": "7dfdb4b4-c0b4-4620-aca6-e7263123028e",
  "signal_type": "job-change",
  "signal_subtype": "jobChange",
  "detected_at": "2025-11-14T00:00:00Z",
  "association": "contact",
  
  "contact": {
    "first_name": "Lashawna",
    "last_name": "Bean",
    "full_name": "Lashawna Bean",
    "email": "[email protected]",
    "job_title": "Director Of People & Public Affairs",
    "linkedin_url": "linkedin.com/sales/lead/ACwAADZ7M_sBEDzrcTd4B_GjoLjkkyFKRXfdK7w",
    "city": "Blue Bell",
    "state": "PA",
    "country": "US"
  },
  
  "company": {
    "name": "Harlem Stage",
    "domain": "harlemstage.org",
    "linkedin_url": "linkedin.com/company/harlem-stage",
    "industries": ["Performing Arts"],
    "employee_count_low": 11,
    "employee_count_high": 50,
    "description": "Harlem Stage ignites the artistic freedom of performing artists..."
  },
  
  "data": {
    "summary": "Joined Harlem Stage as Director of People & Public Affairs 2 months ago.",
    "job_change_occurred": true,
    "promotion_occurred": false,
    "months_since_job_change": 2
  }
}

Note: The association field indicates whether this is a "contact" or "company" level signal. For company-level signals, the contact field will be null or omitted.

Field Definitions

Core Signal Fields

Field	Type	Description
`signal_id`	string (UUID)	Unique identifier for this signal instance. Use for deduplication.
`signal_type`	string	Primary signal category (e.g., `job-change`, `hiring-velocity`, `glassdoor-review`)
`signal_subtype`	string	Specific signal variant (e.g., `jobChange`, `hiringVelocity`, `glassdoorReviews`)
`association`	string	Whether signal is `"contact"` or `"company"` level
`detected_at`	string (ISO 8601)	When this signal was detected by Autobound
`insight_id`	string (UUID)	(Optional) Identifier linking related signals from the same processing batch

Contact Object

Contact information for the person associated with this signal. Null for company-level signals. All fields nullable.

Field	Type	Description
`first_name`	string	First name
`last_name`	string	Last name
`full_name`	string	Full name
`email`	string	Professional email address
`job_title`	string	Current job title
`linkedin_url`	string	LinkedIn profile URL
`city`	string	City
`state`	string	State/region
`country`	string	Country code (e.g., `US`, `GB`)

Company Object

Firmographic data for the company associated with this signal.

Field	Type	Description
`name`	string	Company name
`domain`	string	Primary website domain
`linkedin_url`	string	LinkedIn company page URL
`industries`	array[string] or string	Industry or list of industries
`employee_count_low`	integer	Lower bound of employee count range
`employee_count_high`	integer	Upper bound of employee count range
`description`	string	Company description

Data Object

The data object contains signal-specific fields that vary by signal_type. Common fields include:

Field	Type	Description
`summary`	string	Concise summary of the signal
`detail`	string	Detailed explanation of why this signal matters
`relevance`	float	Business relevance score (0.0-1.0)
`confidence`	string	Confidence level (`high`, `medium`, `low`)
`sentiment`	string	Sentiment (`positive`, `neutral`, `negative`)
`source_url`	string	Link to the original source
`competitors_mentioned`	array[string]	Competitor companies mentioned (if any)
`technologies_mentioned`	array[string]	Technologies/products mentioned (if any)

Signal-specific fields vary by signal_type. See the Signal Catalog for details on each signal type.

Signal-Specific Schemas

Glassdoor Review Schema

Glassdoor signals follow this structure:

{
  "signal_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "signal_type": "glassdoor-review",
  "signal_subtype": "glassdoorConsistentLeadershipComplaints",
  "batch_id": "2026-01-02-17-41-03",
  "detected_at": "2026-01-05T12:30:45Z",
  "association": "company",
  "company": {
    "name": "TechCorp Solutions",
    "domain": "techcorp.com",
    "linkedin_url": "linkedin.com/company/techcorp-solutions",
    "industries": ["Information Technology & Services"],
    "employee_count_low": 501,
    "employee_count_high": 1000,
    "description": "TechCorp Solutions is a leading provider of enterprise software solutions."
  },
  "data": {
    "summary": "Multiple employees report toxic management culture and lack of leadership direction",
    "detail": "Five reviews from the past 30 days consistently mention poor management communication, micromanagement, and leadership turnover creating organizational instability.",
    "relevance": 0.85,
    "confidence": "high",
    "sentiment": "negative",
    "competitors_mentioned": ["Salesforce", "HubSpot", "Microsoft"],
    "technologies_mentioned": ["AWS", "Slack", "Jira", "Python", "Docker"],
    "overallCompanyRatings": {
      "overall_rating": 3.2,
      "work_life_balance_rating": 2.8,
      "culture_rating": 2.9,
      "management_rating": 2.5,
      "compensation_rating": 3.1,
      "career_opportunities_rating": 3.0,
      "ceo_approval": 0.45,
      "recommend_to_friend": 0.42,
      "business_outlook": 0.38
    },
    "total_reviews": 127,
    "recent_reviews_count": 5,
    "review_date_newest": "2025-12-28T00:00:00Z",
    "review_date_oldest": "2025-12-01T00:00:00Z",
    "job_titles": ["Software Engineer", "Product Manager", "Senior Developer", "Engineering Manager"],
    "glassdoor_id": 1234567,
    "glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-TechCorp-Solutions-EI_IE1234567.11,28.htm"
  }
}

Glassdoor Data Fields

Field	Type	Description
`data.summary`	string	Concise summary of the signal
`data.detail`	string	Detailed explanation of why this signal matters
`data.relevance`	float	Business relevance score (0.0-1.0)
`data.confidence`	string	Confidence level (`high`, `medium`, `low`)
`data.sentiment`	string	Overall sentiment (`positive`, `neutral`, `negative`)
`data.competitors_mentioned`	array[string]	Competitor companies mentioned in reviews
`data.technologies_mentioned`	array[string]	Technologies/products mentioned in reviews
`data.overallCompanyRatings`	object	Aggregate Glassdoor ratings (see below)
`data.total_reviews`	integer	Total number of Glassdoor reviews
`data.recent_reviews_count`	integer	Number of reviews in the analysis window
`data.review_date_newest`	string (ISO 8601)	Date of most recent review analyzed
`data.review_date_oldest`	string (ISO 8601)	Date of oldest review analyzed
`data.job_titles`	array[string]	Job titles of reviewers
`data.glassdoor_id`	integer	Glassdoor company identifier
`data.glassdoor_url`	string	Link to Glassdoor company page

Overall Company Ratings Object

Field	Type	Description
`overall_rating`	float	Overall company rating (0.0-5.0)
`work_life_balance_rating`	float	Work-life balance score (0.0-5.0)
`culture_rating`	float	Culture & values score (0.0-5.0)
`management_rating`	float	Senior management score (0.0-5.0)
`compensation_rating`	float	Compensation & benefits score (0.0-5.0)
`career_opportunities_rating`	float	Career opportunities score (0.0-5.0)
`ceo_approval`	float	CEO approval rating (0.0-1.0)
`recommend_to_friend`	float	Would recommend to friend (0.0-1.0)
`business_outlook`	float	Positive business outlook (0.0-1.0)

Schema Update (January 7, 2026): Releases after this date include the following new fields that were not present in earlier data exports:

data.sentiment

data.competitors_mentioned

data.technologies_mentioned

Earlier releases contain all other fields documented above.

Sample Files

Download example signals in CSV and JSON formats to explore the schema:

Browse Sample Files →

Need custom samples or have questions? Contact [email protected].