Token Details

Transparency is at the core of our model. That’s why we’ve made our pricing model fully transparent—every token has a purpose, and every detail is right here for you to explore. Dive into the breakdown below and see how simple and fair our system really is.

Search, Research and Export

Search companies, products and prospects with key details.

  • Data Asset
    Tokens
company_id  name 
domain 
logo 
country_name 
number_of_employees_range 
yearly_revenue_range 
website 
company_description 
location
sic_code 
sic description 
industry 
products_in_use
id
companyId
company
companyDomain
industry
city
state
postalCode
country
phone
revenueRange
employeeRange
vendorDomain
vendor
vendorId
productId
shortName
imageUrl
productUrl
publicDetaulUrl
reviewCount
starRating
avgRating
mainCategory
mainCategoryId
parentCategoryId
parentCategory
dateFirstVerified
dateLastVerified
hitCount
vendorDomain
vendor
vendorId
productId
description
shortName
imageUrl
productUrl
publicDetaulUrl
reviewCount
starRating
avgRating
mainCategory
mainCategoryId
parentCategoryId
parentCategory
person_idprofessional_email_hashed
first_name
last_name
full_name
country_name
region_name
city
linkedin
experience
skills
interests
company_name
company_website
company_linkedin
job_department
job_seniority_level
job_title
company_id

Data Enrichment

Get access to a comprehensive list of company enrichment data: from firmographics , technographics to buyergraphics data.

  • Data Asset
    Tokens
company_id  name 
domain 
logo 
country_name 
number_of_employees_range 
yearly_revenue_range 
website 
company_description 
location
sic_code 
sic description 
industry 
products_in_use
id
companyId
company
companyDomain
industry
city
state
postalCode
country
phone
revenueRange
employeeRange
vendorDomain
vendor
vendorId
productId
shortName
imageUrl
productUrl
publicDetaulUrl
reviewCount
starRating
avgRating
mainCategory
mainCategoryId
parentCategoryId
parentCategory
dateFirstVerified
dateLastVerified
hitCount
gender
city
country_name
region_name
company_website
company_linkedin
linkedin
age_group
experience
education
interests
skills
job_department
job_seniority_level
company_name
job_title
full_name
domain
company_name
investors
number_of_advisors
num_of_news
current_advisors
ipo_size_usd
ipo_date
is_ipo
number_of_investors_for_first_funding_round
first_funding_round_value_usd
first_funding_round_type
first_funding_round_date
number_of_funding_rounds
acquired_by
latest_funding_increase_in_percents
last_funding_round_date
last_funding_round_value_usd
last_funding_round_type
number_of_investors_for_last_funding_round
funding_rounds_info
known_funding_total_value
form_description
link_to_html
accession_number
form_type
target_market
company_value_proposition
company_focus
cik
company_name
filed_at
link_to_filing_details
company_partnerships
company_product_development
company_marketing_sales
ticker
cik
link_to_filing_details
form_description
competitive_differentiation
filed_at
company_name
link_to_html
key_competitors
accession_number
form_type
ticker
vendorDomain
vendor
vendorId
productId
description
shortName
imageUrl
productUrl
publicDetaulUrl
reviewCount
starRating
avgRating
mainCategory
mainCategoryId
parentCategoryId
parentCategory
professional_email_status
emails
professions_email
mobile_phone
phone_numbers

Benchmarking Insights

Benchmarking insights to compare your customers tech stack up against those of their peers and competitor cohorts.

  • Benchmarking Insight
    Tokens
state
category
products
description
state
category
products
description
state
category
products
description
state
category
products
description
state
category
products
description
state
category
products
description

CoPilot Queries

Run AI-driven natural language queries that leverage diverse, real-time data to deliver strategic insights and forecasts about companies, products, technologies, and industry experts.

  • CoPilot Queries
    Tokens
  1. What do you need the software to do? (e.g., video editing, project management, data analysis, graphic design, security)?
  2. What is your skill level? (e.g., beginner, intermediate, advanced)?
  3. What is your budget? (e.g., free, open-source, subscription, one-time purchase)?
  4. What platform are you using? (e.g. Windows, macOS, Linux, web-based, iOS, Android)
  5. Are there any specific features that are important to you? (e.g., collaboration, automation, integration with other tools, security)
  1. Name of the Software Product: (e.g., Salesforce, Tableau, Jira, etc.)
  2. Any Provided Data: (e.g., a list of companies from “BuyerCaddy,” a CSV file, etc.). Paste the data directly into the prompt.

Once you provide this information, I will:

  • Include ALL companies from the provided data source(s), accurately labeled.
  • Conduct comprehensive web research to find additional real companies using the specified software.
  • Analyze the data to determine industry breakdown, geographical distribution, implementation examples, and scope of implementation.
  • Present the findings in a clear, well-structured table with company name, industry, region, usage, scope, source, and probability.
  • Provide additional insights into adoption drivers, competitive landscape, and future growth projections.
  • Generate a JSON containing the company names and their domains.

Analyze the tech stacks of a company, focusing exclusively on software products. Identify and present the findings in tables, including probabilities and sources. Please provide the company name or domain.

  1. Industry: Which industry are these companies in? (e.g., “tech,” “automotive,” “healthcare”)
  2. Metrics: What metrics are you interested in comparing? (e.g., “revenue growth,” “profit margins,” “market share,” “R&D spending”)
  3. Company Size: Are you interested in companies of a particular size? (e.g., “startups,” “mid-sized companies,” “large enterprises”)
  4. Geographic Region: Are you interested in companies within a specific geographic region? (e.g., “North America,” “Europe,” “Asia”)

For example, you could ask: “Compare the revenue growth and profit margins of tech companies in North America with a market capitalization between $1 billion and $10 billion.

Please provide the company name or other details that will help me find employee profiles.

Copyright - BuyerCaddy, Inc.