Attribute Dictionary

Intro to SMB Attributes

This page defines the list of attributes available in the Businesses API. For each attribute, we denote the output values and how to interpret them.

📘
For certain premium attributes listed below, historical data going back to 2017 is available.
card_revenue
card_revenue_growth
card_transactions
card_transactions_stability
card_customers
refunds

The historical Merchant Transactions Signals attributes listed above can be accessed using the ID endpoint for both Business and Business Location entities. See our ID endpoint reference for guidance on how to call these premium attributes.

Basic Attributes

Our basic attributes help you identify the right businesses for easy integration into your workflows.

Match Details

Attributes

Attributes
`match_confidence` Indicates the extent to which the user’s query matched a business record in Enigma’s SMB data asset, where 1 represents an exact match. (Number from 0 to 1) `matched_fields` Shows the name, address, and person in Enigma’s data asset, that were found in relation to the user’s query Child Attributes `name` `person` `address` Child Attributes `street_address1` `street_address2` `city` `state` `postal_code` `is_matched` Whether the `match_confidence` for the returned business exceeds the match threshold. To return `non_matches`, set `show_non_matches: 1` in your Request parameters

match_confidence

Indicates the extent to which the user’s query matched a business record in Enigma’s SMB data asset, where 1 represents an exact match. (Number from 0 to 1)

matched_fields

Shows the name, address, and person in Enigma’s data asset, that were found in relation to the user’s query

Child Attributes

name
person
address

Child Attributes

street_address1
street_address2
city
state
postal_code

is_matched

Whether the match_confidence for the returned business exceeds the match threshold. To return non_matches, set show_non_matches: 1 in your Request parameters

{
    "match_confidence": 0.97,
    "matched_fields": {
        "name": "ENIGMA TECHNOLOGIES INC",
        "address": {
            "street_address1": "245 5 AVE", 
            "street_address2": "FL 17",
            "city": "NEW YORK",
            "state": "NY",
            "postal_code": "10016" 
        },
        "person": "HICHAM OUDGHIRI"
    },
    "is_matched": true
}

Business Identifiers

Attributes

Attributes
`enigma_id` Enigma's unique identifier for the business `aliases` The various names for the business location found in Enigma’s data sources, ordered by prevalence. Available only for business locations `names` The various names for the business found in Enigma’s data sources, ordered by prevalence. Available only for businesses `addresses` List of addresses for the business containing street, city, state, and postal code `ein` The EIN numbers associated with the business `phone_numbers` The phone numbers associated with the business `year_incorporated` Year of the earliest incorporation date found in Enigma’s data sources `websites` List of website URLs associated with the business

enigma_id

Enigma's unique identifier for the business

aliases

The various names for the business location found in Enigma’s data sources, ordered by prevalence. Available only for business locations

names

The various names for the business found in Enigma’s data sources, ordered by prevalence. Available only for businesses

addresses

List of addresses for the business containing street, city, state, and postal code

ein

The EIN numbers associated with the business

phone_numbers

The phone numbers associated with the business

year_incorporated

Year of the earliest incorporation date found in Enigma’s data sources

websites

List of website URLs associated with the business

{
    "aliases": [
        "ENIGMA TECHNOLOGIES INC"
    ],
    "ein": [
        "12-3456789"
    ],
    "year_incorporated": "2011",
    "websites": [
        "https://www.enigma.com/"
    ]
}

Firmographics

Attributes

Attributes
`associated_people` People associated with the business and their titles `registered_agents` A registered agent is a business or individual designated to receive service of process when a business is involved in a legal matter `corporate_structure` The legal structure under which the business is incorporated

associated_people

People associated with the business and their titles

registered_agents

A registered agent is a business or individual designated to receive service of process when a business is involved in a legal matter

corporate_structure

The legal structure under which the business is incorporated

{
    "associated_people": [
        {
            "name": "HICHAM OUDGHIRI",
            "titles": [
                "OFFICER"
            ]
        }
    ],
    "registered_agents": [
        "ENIGMA TECHNOLOGIES INC",
        "CORPORATION SERVICE COMPANY"
    ],
    "corporate_structure": "CORPORATION"
}

Registrations

Attributes
`registrations` A list of states and corresponding registration dates for state-level corporate registrations found in Enigma’s data sources Child Attributes `state` `issue_date` `file_number`

{
    "registrations": [
        {
            "state": "NY",
            "issue_date": "2011-11-09",
            "file_number": "4163621"
        }
    ]
}

Premium Attributes

We model our premium attributes from hundreds of private and public sources to provide unique signals about a business.
Premium attributes can be retrieved through the ID endpoint by selecting codes for desired premium attributes with the attrs query parameter. For example, to select premiums attributes with codes abc and def, append the query parameters ?attrs=abc,def to the end of the URL for the ID endpoint. See Quick Start for more details.

Card Revenue

Attributes

Attributes
`card_revenue` A list of objects describing the average monthly revenue a business receives from credit and debit card transactions across 1 month, 3 month and 12 month periods. Child Attributes `end_date` All fields below assume this is the final date, inclusive, of the calculation. Using the query param `lookback_months` the number of months of historical data being pulled can be configured. `1m` Child Attributes `start_date` The date that the 1-month period begins, inclusive. `average_monthly_amount` The business's card revenue in the 1 month leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. `3m` Child Attributes `start_date` The date that the 3-month period begins, inclusive. `average_monthly_amount` The business's average monthly card revenue in the 3 months leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. `12m` Child Attributes `start_date` The date that the 12-month period begins, inclusive. `average_monthly_amount` The business's average monthly card revenue in the 12 months leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period.

card_revenue

A list of objects describing the average monthly revenue a business receives from credit and debit card transactions across 1 month, 3 month and 12 month periods.

Child Attributes

end_date

All fields below assume this is the final date, inclusive, of the calculation. Using the query param lookback_months the number of months of historical data being pulled can be configured.

1m

Child Attributes

start_date

The date that the 1-month period begins, inclusive.

average_monthly_amount

The business's card revenue in the 1 month leading up to and including end_date, null if the business had fewer than 30 transactions during that period.

3m

Child Attributes

start_date

The date that the 3-month period begins, inclusive.

average_monthly_amount

The business's average monthly card revenue in the 3 months leading up to and including end_date, null if the business had fewer than 30 transactions during that period.

12m

Child Attributes

start_date

The date that the 12-month period begins, inclusive.

average_monthly_amount

The business's average monthly card revenue in the 12 months leading up to and including end_date, null if the business had fewer than 30 transactions during that period.

{
    "card_revenue": [
    {
        "end_date": "2020-08-31",
        "1m": {
            "start_date": "2020-08-01",
            "average_monthly_amount": 1200.11
        },
        "3m": {
            "start_date": "2020-06-01",
            "average_monthly_amount": 1400.77
        },
        "12m": {
            "start_date": "2019-09-01",
            "average_monthly_amount": 3200.80
        }
    }
  ]
}

Card Revenue Growth

Attributes

Attributes
`card_revenue_growth` A list of objects describing the revenue growth trends at a business, measured across 3 month, 3 month (seasonally adjusted) and 12 month periods. Child Attributes `end_date` All fields below assume this is the final date, inclusive, of the calculation. Using the query param `lookback_months` the number of months of historical data being pulled can be configured. `3m` Child Attributes `start_date` The date that the 3-month period begins, inclusive. `rate` The change in revenue in the past 3 months from the 3 months prior, expressed as a ratio, `null` if the business had fewer than 30 transactions during either of the compared periods. For example, the value of the period ending at 2020-04-30 is the percent change from 2019-11-01 to 2020-01-31 revenue to 2020-02-01 to 2020-04-30 revenue. Formula: (new - old) / old `rate_sa` The change in revenue in the past 3 months from the corresponding 3 months a year prior, expressed as a ratio, `null` if the business had fewer than 30 transactions during either of the compared periods. NOTE: `_sa` stands for seasonally-adjusted. For example, the value of the period ending at 2020-04-30 value is the percent change from 2019-02-01 to 2019-04-30 revenue to 2020-02-01 to 2020-04-30 revenue. Formula: (new - old) / old `12m` Child Attributes `start_date` The date that the 12-month period begins, inclusive. `rate` The change in revenue in the past 12 months from the 12 months prior, expressed as a ratio, `null` if the business had fewer than 30 transactions during either of the compared periods. For example, the value of the period ending at 2020-04-30 is the percent change from 2018-05-01 to 2019-04-30 revenue to 2019-05-01 to 2020-04-30 revenue. Formula: (new - old) / old

card_revenue_growth

A list of objects describing the revenue growth trends at a business, measured across 3 month, 3 month (seasonally adjusted) and 12 month periods.

Child Attributes

end_date

All fields below assume this is the final date, inclusive, of the calculation. Using the query param lookback_months the number of months of historical data being pulled can be configured.

3m

Child Attributes

start_date

The date that the 3-month period begins, inclusive.

rate

The change in revenue in the past 3 months from the 3 months prior, expressed as a ratio, null if the business had fewer than 30 transactions during either of the compared periods. For example, the value of the period ending at 2020-04-30 is the percent change from 2019-11-01 to 2020-01-31 revenue to 2020-02-01 to 2020-04-30 revenue. Formula: (new - old) / old

rate_sa

The change in revenue in the past 3 months from the corresponding 3 months a year prior, expressed as a ratio, null if the business had fewer than 30 transactions during either of the compared periods. NOTE: _sa stands for seasonally-adjusted. For example, the value of the period ending at 2020-04-30 value is the percent change from 2019-02-01 to 2019-04-30 revenue to 2020-02-01 to 2020-04-30 revenue. Formula: (new - old) / old

12m

Child Attributes

start_date

The date that the 12-month period begins, inclusive.

rate

The change in revenue in the past 12 months from the 12 months prior, expressed as a ratio, null if the business had fewer than 30 transactions during either of the compared periods. For example, the value of the period ending at 2020-04-30 is the percent change from 2018-05-01 to 2019-04-30 revenue to 2019-05-01 to 2020-04-30 revenue. Formula: (new - old) / old

{
    "card_revenue_growth": [
    {
        "end_date": "2020-08-31",
        "3m": {
            "start_date": "2020-06-01",
            "rate": 0.1320,
            "rate_sa": 0.0218
        },
        "12m": {
            "start_date": "2019-09-01",
            "rate": 0.1338
        }
    }
  ]
}

Card Transactions

Attributes

Attributes
`card_transactions` A list of objects describing the average monthly number of credit and debit card transactions at a business across 1 month, 3 month and 12 month periods. Child Attributes `end_date` All fields below assume this is the final date, inclusive, of the calculation. Using the query param `lookback_months` the number of months of historical data being pulled can be configured. `1m` Child Attributes `start_date` The date that the 1-month period begins, inclusive. `average_monthly_count` The average monthly number of transactions over the month leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. For example, the value for the 1m period ending at 2020-04-30 is the average monthly transaction count from 2020-04-01 to 2020-04-30 inclusive. NOTE: This field should be interpreted along with the `present` field. If value is `null` and `present`=true, then this business had transactions during that period, but there were fewer than 30 transactions. `present` Whether or not we have transactions for the given business in the 1-month period. `3m` Child Attributes `start_date` The date that the 3-month period begins, inclusive. `average_monthly_count` The average monthly number of transactions over the 3 months leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. For example, the value for the 3m period ending at 2020-04-30 is the average monthly transaction count from 2020-02-01 to 2020-04-30 inclusive. NOTE: This field should be interpreted along with the `present` field. If value is `null` and `present`=true, then this business had transactions during that period, but there were fewer than 30 transactions. `present` Whether or not we have transactions for the given business in the 3-month period. `12m` Child Attributes `start_date` The date that the 12-month period begins, inclusive. `average_monthly_count` The average monthly number of transactions over the 12 months leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. For example, the value for the 12m period ending at 2020-04-30 is the average monthly transaction count from 2019-05-01 to 2020-04-30 inclusive. NOTE: This field should be interpreted along with the `present` field. If value is `null` and `present`=true, then this business had transactions during that period, but there were fewer than 30 transactions. `present` Whether or not we have transactions for the given business in the 12-month period.

card_transactions

A list of objects describing the average monthly number of credit and debit card transactions at a business across 1 month, 3 month and 12 month periods.

Child Attributes

end_date

All fields below assume this is the final date, inclusive, of the calculation. Using the query param lookback_months the number of months of historical data being pulled can be configured.

1m

Child Attributes

start_date

The date that the 1-month period begins, inclusive.

average_monthly_count

The average monthly number of transactions over the month leading up to and including end_date, null if the business had fewer than 30 transactions during that period. For example, the value for the 1m period ending at 2020-04-30 is the average monthly transaction count from 2020-04-01 to 2020-04-30 inclusive. NOTE: This field should be interpreted along with the present field. If value is null and present=true, then this business had transactions during that period, but there were fewer than 30 transactions.

present

Whether or not we have transactions for the given business in the 1-month period.

3m

Child Attributes

start_date

The date that the 3-month period begins, inclusive.

average_monthly_count

The average monthly number of transactions over the 3 months leading up to and including end_date, null if the business had fewer than 30 transactions during that period. For example, the value for the 3m period ending at 2020-04-30 is the average monthly transaction count from 2020-02-01 to 2020-04-30 inclusive. NOTE: This field should be interpreted along with the present field. If value is null and present=true, then this business had transactions during that period, but there were fewer than 30 transactions.

present

Whether or not we have transactions for the given business in the 3-month period.

12m

Child Attributes

start_date

The date that the 12-month period begins, inclusive.

average_monthly_count

The average monthly number of transactions over the 12 months leading up to and including end_date, null if the business had fewer than 30 transactions during that period. For example, the value for the 12m period ending at 2020-04-30 is the average monthly transaction count from 2019-05-01 to 2020-04-30 inclusive. NOTE: This field should be interpreted along with the present field. If value is null and present=true, then this business had transactions during that period, but there were fewer than 30 transactions.

present

Whether or not we have transactions for the given business in the 12-month period.

{
    "card_transactions": [
    {
        "end_date": "2020-08-31",
        "1m": {
            "start_date": "2020-08-01",
            "average_monthly_count": null,
            "present": true
        },
        "3m": {
            "start_date": "2020-06-01",
            "average_monthly_count": 140.25,
            "present": true
        },
        "12m": {
            "start_date": "2019-09-01",
            "average_monthly_count": 250.30,
            "present": true
        }
    }
  ]
}

Card Transactions Stability

Attributes

Attributes
`card_transactions_stability` A list of objects describing the distribution of credit and debit card transactions at a business across 1 month, 3 month and 12 month periods. Child Attributes `end_date` All fields below assume this is the final date, inclusive, of the calculation. Using the query param `lookback_months` the number of months of historical data being pulled can be configured. `1m` Child Attributes `start_date` The date that the 1-month period begins, inclusive. `days_present` The number of days with card transactions in the month leading up to and including end_date. `daily_coverage_ratio` The ratio of days with card transactions to the total number of days in the month leading up to and including end_date. `weeks_present` The number of weeks with card transactions in the month leading up to and including end_date. `weekly_coverage_ratio` The ratio of weeks with card transactions to the total number of weeks in the month leading up to and including end_date. `months_present` 1 if the month had any transactions, 0 otherwise. Raw values. `monthly_coverage_ratio` 1 if the month had any transactions, 0 otherwise. `3m` Child Attributes `start_date` The date that the 3-month period begins, inclusive. `days_present` The number of days with card transactions in the 3 months leading up to and including end_date. `daily_coverage_ratio` The ratio of days with card transactions to the total number of days in the 3 months leading up to and including end_date. `weeks_present` The number of weeks with card transactions in the 3 months leading up to and including end_date. `weekly_coverage_ratio` The ratio of weeks with card transactions to the total number of weeks in the 3 months leading up to and including end_date. `months_present` The number of months with card transactions in the 3 months leading up to and including end_date. `monthly_coverage_ratio` The ratio of months with card transactions to the total number of months in the 3 months leading up to and including end_date. `12m` Child Attributes `start_date` The date that the 12-month period begins, inclusive. `days_present` The number of days with card transactions in the 12 months leading up to and including end_date. `daily_coverage_ratio` The ratio of days with card transactions to the total number of days in the 12 months leading up to and including end_date. `weeks_present` The number of weeks with card transactions in the 12 months leading up to and including end_date. `weekly_coverage_ratio` The ratio of weeks with card transactions to the total number of weeks in the 12 months leading up to and including end_date. `months_present` The number of months with card transactions in the 12 months leading up to and including end_date. `monthly_coverage_ratio` The ratio of months with card transactions to the total number of months in the 12 months leading up to and including end_date.

card_transactions_stability

A list of objects describing the distribution of credit and debit card transactions at a business across 1 month, 3 month and 12 month periods.

Child Attributes

end_date

All fields below assume this is the final date, inclusive, of the calculation. Using the query param lookback_months the number of months of historical data being pulled can be configured.

1m

Child Attributes

start_date

The date that the 1-month period begins, inclusive.

days_present

The number of days with card transactions in the month leading up to and including end_date.

daily_coverage_ratio

The ratio of days with card transactions to the total number of days in the month leading up to and including end_date.

weeks_present

The number of weeks with card transactions in the month leading up to and including end_date.

weekly_coverage_ratio

The ratio of weeks with card transactions to the total number of weeks in the month leading up to and including end_date.

months_present

1 if the month had any transactions, 0 otherwise. Raw values.

monthly_coverage_ratio

1 if the month had any transactions, 0 otherwise.

3m

Child Attributes

start_date

The date that the 3-month period begins, inclusive.

days_present

The number of days with card transactions in the 3 months leading up to and including end_date.

daily_coverage_ratio

The ratio of days with card transactions to the total number of days in the 3 months leading up to and including end_date.

weeks_present

The number of weeks with card transactions in the 3 months leading up to and including end_date.

weekly_coverage_ratio

The ratio of weeks with card transactions to the total number of weeks in the 3 months leading up to and including end_date.

months_present

The number of months with card transactions in the 3 months leading up to and including end_date.

monthly_coverage_ratio

The ratio of months with card transactions to the total number of months in the 3 months leading up to and including end_date.

12m

Child Attributes

start_date

The date that the 12-month period begins, inclusive.

days_present

The number of days with card transactions in the 12 months leading up to and including end_date.

daily_coverage_ratio

The ratio of days with card transactions to the total number of days in the 12 months leading up to and including end_date.

weeks_present

The number of weeks with card transactions in the 12 months leading up to and including end_date.

weekly_coverage_ratio

The ratio of weeks with card transactions to the total number of weeks in the 12 months leading up to and including end_date.

months_present

The number of months with card transactions in the 12 months leading up to and including end_date.

monthly_coverage_ratio

The ratio of months with card transactions to the total number of months in the 12 months leading up to and including end_date.

{
   "card_transactions_stability" : [
   {
        "end_date": "2020-08-31",
        "date_accessible": "2020-11-15",
        "1m": {
            "start_date": "2020-08-01", 
            "days_present": 25,
            "weeks_present": 3,
            "months_present": 1,
            "daily_coverage_ratio": 0.8064,
            "weekly_coverage_ratio": 0.75,
            "monthly_coverage_ratio": 1
        },
        "3m": {
            "start_date": "2020-06-01",
            "days_present": 61,
            "weeks_present": 6,
            "months_present": 3,
            "daily_coverage_ratio": 0.6777,
            "weekly_coverage_ratio": 0.5,
            "monthly_coverage_ratio": 0.6667
         },
        "12m": {
            "start_date": "2019-09-01",
            "days_present": 110,
            "weeks_present": 15,
            "months_present": 4,
            "daily_coverage_ratio": 0.3013,
            "weekly_coverage_ratio": 0.2884,
            "monthly_coverage_ratio": 0.3333
        }
    }
  ]
}

Card Customers

Attributes

Attributes
`card_customers` A list of objects describing the daily average number of customers a business has, based on credit and debit card transactions, across 1 month, 3 month, and 12 month periods. Child Attributes `end_date` All fields below assume this is the final date, inclusive, of the calculation. Using the query param `lookback_months` the number of months of historical data being pulled can be configured. `1m` Child Attributes `start_date` The date that the 1-month period begins, inclusive. `average_daily_count` The business's average daily customer count in the 1 month leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. `3m` Child Attributes `start_date` The date that the 3-month period begins, inclusive. `average_daily_count` The business's average daily customer count in the 3 months leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period. `12m` Child Attributes `start_date` The date that the 12-month period begins, inclusive. `average_daily_count` The business's average daily customer count in the 12 months leading up to and including end_date, `null` if the business had fewer than 30 transactions during that period.

card_customers

A list of objects describing the daily average number of customers a business has, based on credit and debit card transactions, across 1 month, 3 month, and 12 month periods.

Child Attributes

end_date

All fields below assume this is the final date, inclusive, of the calculation. Using the query param lookback_months the number of months of historical data being pulled can be configured.

1m

Child Attributes

start_date

The date that the 1-month period begins, inclusive.

average_daily_count

The business's average daily customer count in the 1 month leading up to and including end_date, null if the business had fewer than 30 transactions during that period.

3m

Child Attributes

start_date

The date that the 3-month period begins, inclusive.

average_daily_count

The business's average daily customer count in the 3 months leading up to and including end_date, null if the business had fewer than 30 transactions during that period.

12m

Child Attributes

start_date

The date that the 12-month period begins, inclusive.

average_daily_count

The business's average daily customer count in the 12 months leading up to and including end_date, null if the business had fewer than 30 transactions during that period.

{
    "card_customers": [
    {
        "end_date": "2020-08-31",
        "1m": {
            "start_date": "2020-08-01",
            "average_daily_count": 10.20
        },
        "3m": {
            "start_date": "2020-06-01",
            "average_daily_count": 30.15
        },
        "12m": {
            "start_date": "2019-09-01",
            "average_daily_count": 70.68
        }
    }
  ]
}

Refunds

Attributes

Attributes
`refunds` A list of objects describing the refunds issued by a business, based on credit and debit card transactions, across 1 month, 3 month, and 12 month periods. Child Attributes `end_date` All fields below assume this is the final date, inclusive, of the calculation. Using the query param `lookback_months` the number of months of historical data being pulled can be configured. `1m` Child Attributes `average_transaction_size` The average size in dollars of a card refund issued directly from the business in the 1-month period, `null` if the business had fewer than 30 transactions during that period. `revenue_ratio` The ratio of the business’s dollar amount of card refunds to the business’s positive card spend in the 1-month period, `null` if the business had fewer than 30 transactions during that period. `revenue_ratio_growth_rate` The change in the business’s refund to revenue ratio in the 1-month period, `null` if the business had fewer than 30 transactions during that period (new - old / old). `start_date` The date that the 1-month period begins, inclusive. `amount` The total dollar amount of card refunds issued directly from the business in the 1-month period, `null` if the business had fewer than 30 transactions during that period. `3m` Child Attributes `average_transaction_size` The average size in dollars of a card refund issued directly from the business in the 3-month period, `null` if the business had fewer than 30 transactions during that period. `revenue_ratio` The ratio of the business’s dollar amount of card refunds to the business’s positive card spend in the 3-month period, `null` if the business had fewer than 30 transactions during that period. `revenue_ratio_growth_rate` The change in the business’s refund to revenue ratio in the 3-month period, `null` if the business had fewer than 30 transactions during that period (new - old / old). `start_date` The date that the 3-month period begins, inclusive. `amount` The total dollar amount of card refunds issued directly from the business in the 3-month period, `null` if the business had fewer than 30 transactions during that period. `12m` Child Attributes `average_transaction_size` The average size in dollars of a card refund issued directly from the business in the 12-month period, `null` if the business had fewer than 30 transactions during that period. `revenue_ratio` The ratio of the business’s dollar amount of card refunds to the business’s positive card spend in the 12-month period, `null` if the business had fewer than 30 transactions during that period. `revenue_ratio_growth_rate` The change in the business’s refund to revenue ratio in the 12-month period, `null` if the business had fewer than 30 transactions during that period (new - old / old). `start_date` The date that the 12-month period begins, inclusive. `amount` The total dollar amount of card refunds issued directly from the business in the 12-month period, `null` if the business had fewer than 30 transactions during that period.

refunds

A list of objects describing the refunds issued by a business, based on credit and debit card transactions, across 1 month, 3 month, and 12 month periods.

Child Attributes

end_date

All fields below assume this is the final date, inclusive, of the calculation. Using the query param lookback_months the number of months of historical data being pulled can be configured.

1m

Child Attributes

average_transaction_size

The average size in dollars of a card refund issued directly from the business in the 1-month period, null if the business had fewer than 30 transactions during that period.

revenue_ratio

The ratio of the business’s dollar amount of card refunds to the business’s positive card spend in the 1-month period, null if the business had fewer than 30 transactions during that period.

revenue_ratio_growth_rate

The change in the business’s refund to revenue ratio in the 1-month period, null if the business had fewer than 30 transactions during that period (new - old / old).

start_date

The date that the 1-month period begins, inclusive.

amount

The total dollar amount of card refunds issued directly from the business in the 1-month period, null if the business had fewer than 30 transactions during that period.

3m

Child Attributes

average_transaction_size

The average size in dollars of a card refund issued directly from the business in the 3-month period, null if the business had fewer than 30 transactions during that period.

revenue_ratio

The ratio of the business’s dollar amount of card refunds to the business’s positive card spend in the 3-month period, null if the business had fewer than 30 transactions during that period.

revenue_ratio_growth_rate

The change in the business’s refund to revenue ratio in the 3-month period, null if the business had fewer than 30 transactions during that period (new - old / old).

start_date

The date that the 3-month period begins, inclusive.

amount

The total dollar amount of card refunds issued directly from the business in the 3-month period, null if the business had fewer than 30 transactions during that period.

12m

Child Attributes

average_transaction_size

The average size in dollars of a card refund issued directly from the business in the 12-month period, null if the business had fewer than 30 transactions during that period.

revenue_ratio

The ratio of the business’s dollar amount of card refunds to the business’s positive card spend in the 12-month period, null if the business had fewer than 30 transactions during that period.

revenue_ratio_growth_rate

The change in the business’s refund to revenue ratio in the 12-month period, null if the business had fewer than 30 transactions during that period (new - old / old).

start_date

The date that the 12-month period begins, inclusive.

amount

The total dollar amount of card refunds issued directly from the business in the 12-month period, null if the business had fewer than 30 transactions during that period.

{
    "refunds": [
            {
                "end_date": "2020-08-31",
                "1m": {
                    "average_transaction_size": null,
                    "revenue_ratio": 0.0,
                    "revenue_ratio_growth_rate": null,
                    "start_date": "2020-08-01",
                    "amount": 0.0
                },
                "3m": {
                    "average_transaction_size": -23.35,
                    "revenue_ratio": 0.0,
                    "revenue_ratio_growth_rate": -0.95,
                    "start_date": "2020-06-01",
                    "amount": -70.04
                },
                "12m": {
                    "average_transaction_size": -198.88,
                    "revenue_ratio": 0.0,
                    "revenue_ratio_growth_rate": 18.12,
                    "start_date": "2019-09-01",
                    "amount": -1591.05
                }
            }
        ]
}

Verification

Attributes
`verification` The score from 0 to 1 represents Enigma’s confidence, based on the verification components below. Child Attributes `score` `components` Child Attributes `data_freshness` The recency of data observed about the business `source_quality` The trustworthiness of sources in which the data is found `data_footprint` The breadth of data available about the business

{
  "verification": {
      "score": 0.86,
      "components": {
          "data_freshness": 1.0,
          "source_quality": 1.0,
          "data_footprint": 0.53
      }
  }
}

Business Bankruptcy

Attributes

Attributes
`business_bankruptcy` Whether the business has filed for bankruptcy and a list of the bankruptcy filings’ chapter type, filing date, and case number Child Attributes `bankruptcy_flag` Yes/No whether the business has at least one bankruptcy record `bankruptcy_records` Child Attributes `chapter_type` Chapter 7, 11, or 13 `filing_date` Date of bankruptcy filing `case_number` Case number corresponding to bankruptcy filing

business_bankruptcy

Whether the business has filed for bankruptcy and a list of the bankruptcy filings’ chapter type, filing date, and case number

Child Attributes

bankruptcy_flag

Yes/No whether the business has at least one bankruptcy record

bankruptcy_records

Child Attributes

chapter_type

Chapter 7, 11, or 13

filing_date

Date of bankruptcy filing

case_number

Case number corresponding to bankruptcy filing

{
 "business_bankruptcy": {
            "bankruptcy_flag": true, 
            "bankruptcy_records": [
            {
                        "chapter_type": "11",
                        "filing_date": "2020-03-15",
                        "case_number": "2:13-bk-39635"
            },
            {
                        "chapter_type": "7",
                        "filing_date": "2020-04-19",
                        "case_number": "2:14-bk-17090"
             }
        ]
    }
}

SBA Loans

Attributes

Attributes
`sba_loans` The overall number, value, and status of loans the businesses have received from the SBA, as well as individual loan details. Child Attributes `total_number` The total number of SBA loans `total_value` The total amount approved in USD `total_number_active` The total number of active loans `total_value_active` The total amount active in USD `total_number_charged_off` The number of loans with charge offs `total_value_charged_off` The total amount active in USD `loan_details` Child Attributes `approval_date` `loan_status` `gross_approval_amount` `loan_type`

sba_loans

The overall number, value, and status of loans the businesses have received from the SBA, as well as individual loan details.

Child Attributes

total_number

The total number of SBA loans

total_value

The total amount approved in USD

total_number_active

The total number of active loans

total_value_active

The total amount active in USD

total_number_charged_off

The number of loans with charge offs

total_value_charged_off

The total amount active in USD

loan_details

Child Attributes

approval_date
loan_status
gross_approval_amount
loan_type

{
    "sba_loans": {
        "total_number": 5,
        "total_value": 1200000.5,
        "total_number_active": 1,
        "total_value_active": 200000.5,
        "total_number_charged_off": 0,
        "total_value_charged_off": 0.0,
        "loan_details": [
            {
                "approval_date": "2017-10-01",
                "loan_status": "PIF",
                "gross_approval_amount": 25000.5,
                "term_months": 120,
                "loan_type": "7a"
            }
        ]
    }
}

Construction Contractor Licenses

States: AL, AZ, CA, FL, GA, LA, MD, MN, NC, NV, OH, OR, PA, SC, TX, VA, WA

Attributes

Attributes
`construction_contractor_licenses` A list of all construction contractor licenses this business has been awarded, state-by-state, in the states we cover. Child Attributes `state` The state in which this license was issued. Child Attributes `has_license_history` Whether or not the business has a license in that state. `licenses` A list of all contracts the business has in that state, each with four standard fields. Child Attributes `license_number` A standard field pulled from whichever column in `details` most closely represents the license number. `start_date` A standard field pulled from whichever column in `details` most closely represents the license's start date. `end_date` A standard field pulled from whichever column in `details` most closely represents the license's end date. `classification` A standard field pulled from whichever column in `details` most closely represents what type of work the license is for. `details` A list of additional fields that come directly from the source. There will be a different set with more or fewer fields depending on the state and license classification. The ones listed below are for illustration to give a sense of what this could look like. Child Attributes `issue_date` Date on which the license was issued `reissue_date` Date on which the license was re-issued, if applicable `effective_date` Effective date for the license `expiration_date` Expiration date for the license `license_number` Identifying number for the license `primary_status` The primary purpose for which the construction license is used `license_type` The type of construction activities covered by the license

construction_contractor_licenses

A list of all construction contractor licenses this business has been awarded, state-by-state, in the states we cover.

Child Attributes

state

The state in which this license was issued.

Child Attributes

has_license_history

Whether or not the business has a license in that state.

licenses

A list of all contracts the business has in that state, each with four standard fields.

Child Attributes

license_number

A standard field pulled from whichever column in details most closely represents the license number.

start_date

A standard field pulled from whichever column in details most closely represents the license's start date.

end_date

A standard field pulled from whichever column in details most closely represents the license's end date.

classification

A standard field pulled from whichever column in details most closely represents what type of work the license is for.

details

A list of additional fields that come directly from the source. There will be a different set with more or fewer fields depending on the state and license classification. The ones listed below are for illustration to give a sense of what this could look like.

Child Attributes

issue_date

Date on which the license was issued

reissue_date

Date on which the license was re-issued, if applicable

effective_date

Effective date for the license

expiration_date

Expiration date for the license

license_number

Identifying number for the license

primary_status

The primary purpose for which the construction license is used

license_type

The type of construction activities covered by the license

{
    "construction_contractor_licenses": {
        "CA": { 
            "has_license_history": true,
            "licenses" : [
                {
                    "license_number": "78210512",
                    "start_date": "2017-01-01",
                    "end_date": "2022-12-31", 
                    "classification": "Cementing",
                    "details": { 
                        "issue_date": "2012-01-01",
                        "reissue_date": "2016-01-01",
                        "effective_date": "2017-01-01",
                        "expiration_date": "2022-12-31",
                        "license_number": "78210512",
                        "primary_status": "Commercial",
                        "license_type": "Cementing"
                    }
                }
            ]
        },
        "FL": {
            "has_license_history": false,
            "licenses" : []
        },
        "MD": {
            "has_license_history": false,
            "licenses" : []
        },
        "NC": {
            "has_license_history": false,
            "licenses" : []
        },
        ... // additional states
    }
}

Industry Classification

Attributes
`industries` A list of the predicted NAICS industries of this company. Child Attributes `classification_type` The classification system used to classify the company `classification_code` The taxonomy code to classify the company in the corresponding classification system `classification_description` The text description of the industry in the corresponding classification system

{
    "industries":
    [
      {
      "classification_type": "NAICS_2017",
      "classification_code": "448110",
      "classification_description": "Men's clothing stores",
      },
      {
      "classification_type": "NAICS_2017",
      "classification_code": "454110",
      "classification_description": "Electronic shopping and mail-order houses",
      }
    ]
}

WARN Act Notifications (Beta)

States: AZ, CA, FL, IL, LA, MD, NY, NC, TX, and VA businesses.

Attributes

Attributes
`warn_act_notifications_beta` One entry per WARN notification containing details on the number of employees and date of layoff. The Worker Adjustment and Retraining Notification (WARN) Act of 1988 is a federal law that requires companies that employ more than 100 employees to give 60-day advance notice if they intend to lay off more than 50 employees at a single site. Thus, this is a leading indicator of business health and headcount. Child Attributes `layoff_or_closing` either "layoff" or "closing" depending on what the notification was. `notice_received_date` The date on which the notice was received. `employees_impacted` The number of employees impacted. `total_employees` The total headcount before the layoff. `percentage_impacted` The percent of employees laid off `layoff_or_closing_date` The date on which the layoffs will occur. `reason` Unforeseeable business circumstances prompted by COVID-19

warn_act_notifications_beta

One entry per WARN notification containing details on the number of employees and date of layoff.

The Worker Adjustment and Retraining Notification (WARN) Act of 1988 is a federal law that requires companies that employ more than 100 employees to give 60-day advance notice if they intend to lay off more than 50 employees at a single site. Thus, this is a leading indicator of business health and headcount.

Child Attributes

layoff_or_closing

either "layoff" or "closing" depending on what the notification was.

notice_received_date

The date on which the notice was received.

employees_impacted

The number of employees impacted.

total_employees

The total headcount before the layoff.

percentage_impacted

The percent of employees laid off

layoff_or_closing_date

The date on which the layoffs will occur.

reason

Unforeseeable business circumstances prompted by COVID-19

{
    "warn_act_notifications": [
        {
            "layoff_or_closing": "layoff", 
            "notice_received_date": "2019-03-20", 
            "employees_impacted": 52, 
            "total_employees": 100,
            "percentage_impacted": 0.52,
            "layoff_or_closing_date": "2019-03-19", 
            "reason": "Unforeseeable business circumstances prompted by COVID-19" 
        }
    ]
}

Corporate Registration Details

Attributes

Attributes
`corporate_registration_details` List of a company's corporate registrations, with full details Child Attributes `business_name` The business name as it appears in the corporate registration `is_domestic` "Domestic", "foreign", or "unknown" `mailing_address` The mailing address of the business address as it appears in the corporate registration `registered_agent_address` The main address of the business as it appears in the corporate registration `registered_business_address` the physical address of the business as it appears in the corporate registration `site_address` The physical address of the business as it appears in the corporate registration `state_jurisdiction` The business state of jurisdiction as it appears in the corporate registration

corporate_registration_details

List of a company's corporate registrations, with full details

Child Attributes

business_name

The business name as it appears in the corporate registration

is_domestic

"Domestic", "foreign", or "unknown"

mailing_address

The mailing address of the business address as it appears in the corporate registration

registered_agent_address

The main address of the business as it appears in the corporate registration

registered_business_address

the physical address of the business as it appears in the corporate registration

site_address

The physical address of the business as it appears in the corporate registration

state_jurisdiction

The business state of jurisdiction as it appears in the corporate registration

{
    "corporate_registration_details": [
        {
            "business_name": "ENIGMA TECHNOLOGIES, INC.",
            "is_domestic": "foreign",
            "mailing_address": "245 5TH AVENUE, 17TH FLOOR, NEW YORK, NEW YORK, 10016, UNITED STATES",
            "registered_agent_address": "245 5TH AVENUE, 17TH FLOOR, NEW YORK, NY, 10016",
            "registered_business_address": "245 5TH AVENUE, 17TH FLOOR, NEW YORK, NEW YORK, 10016, UNITED STATES",
            "site_address": "ENIGMA TECHNOLOGIES, INC., 245 5TH AVENUE, 17TH FLOOR,NEW YORK,NEW YORK,10016",
            "state_jurisdiction": "DE"
        }
    ]
}