--- title: "Business summary" method: GET path: "/v1/businesses/{business_id}/summary" tags: ["Business history"] --- # Business summary `GET /v1/businesses/{business_id}/summary` ## Request - Base URL: `https://api.ocrolus.com` - URL: `https://api.ocrolus.com/v1/businesses/{business_id}/summary` - Auth: OAuth 2 - Client credentials - Token URL: `https://auth.ocrolus.com/oauth/token` This API retrieves the chronological financial summary for a business entity, calculated from deduplicated and organization-enriched transactions across all <> belonging to the requesting organization. ## Path parameters - `business_id` string, uuid, required ## Query parameters - `begin_date` string, date - `end_date` string, date - `updated_since` string, date ## Response `200` Success - object - `id` string, uuid: Unique identifier of the business entity. - `name` string: Name of the business entity. - `naics4_code` string: A 4-digit North American Industry Classification System (NAICS) code that represents the industry of the business. - `naics_description` string: The description of the 4-digit NAICS code, indicating the industry classification of the business category. - `naics6_code` string: 6-digit NAICS code for the business industry classification. - `books` object[]: List of books associated with the business. - `uuid` string, uuid: Unique identifier of the Book. - `name` string: Name of the Book. - `created_ts` string, date-time: ISO 8601 timestamp of when the Book was created. - `uploaded_docs` object[]: List of documents uploaded to the Book. - `uuid` string, uuid: Unique identifier of the uploaded document. - `name` string: Name of the uploaded document. - `status` string: Status of the uploaded document. - `book_count` integer: Total number of Books associated with the business. - `txn_count` integer: Total number of deduplicated transactions for the business. - `bank_accounts` object[]: List of bank accounts associated with the business. - `bank_account_pks` string[]: List of primary keys from different Books that map to this physical account. - `txn_count` integer: Number of deduplicated transactions for these accounts. - `bank_name` string: Name of the bank. - `account_type` string: Type of the bank account. - `account_number` string: Masked account number, with all but the last 4 digits obfuscated for security. - `account_holder_name` string: Name of the account holder. - `account_category` string: Category of the account. - `holder_address_1` string: Primary address line of the account holder. - `holder_address_2` string: Secondary address line of the account holder. - `holder_city` string: City of the account holder's address. - `holder_state` string: State of the account holder's address. - `holder_zip` string: ZIP code of the account holder's address. - `daily_balances` object: Daily balances for the account keyed by date in YYYY-MM-DD format. - `daily_cash_flows` object: Daily cash flow values keyed by date in YYYY-MM-DD format. - `average_daily_balance` string: Average daily balance across the full analysis period. - `average_daily_cash_flow` string: Average daily cash flow across the full analysis period. - `average_daily_balance_weekday` string: Average daily balance calculated for weekdays only. - `total_days` integer: Total number of days included in the analysis period. - `net_cash_flows_by_month` object: Net cash flow values grouped by month, keyed by YYYY-MM. - `minimum_balance_by_month` object: Minimum balance for each month, keyed by YYYY-MM. - `maximum_balance_by_month` object: Maximum balance for each month, keyed by YYYY-MM. - `average_daily_balance_by_month` object: Average daily balance for each month, keyed by YYYY-MM. - `average_daily_balance_weekday_by_month` object: Average weekday daily balance for each month, keyed by YYYY-MM. - `negative_balances_by_month` object: Negative balance values for each month, keyed by YYYY-MM. - `negative_balances_count_by_month` object: Count of negative balance occurrences for each month, keyed by YYYY-MM. - `negative_balances_weekday_by_month` object: Negative balance values on weekdays for each month, keyed by YYYY-MM. - `negative_balances_weekday_count_by_month` object: Count of weekday negative balance occurrences for each month, keyed by YYYY-MM. - `nsf_fee_count_by_month` object: Count of NSF fee occurrences for each month, keyed by YYYY-MM. - `nsf_raw_fee_count_by_month` object: Count of raw NSF fee occurrences for each month, keyed by YYYY-MM. - `overdraft_fee_count_by_month` object: Count of overdraft fee occurrences for each month, keyed by YYYY-MM. - `overdraft_raw_fee_count_by_month` object: Count of raw overdraft fee occurrences for each month, keyed by YYYY-MM. - `periods` object[]: List of analyzed account periods with balance, transaction, cash flow, deposit, withdrawal, revenue, expense, and reconciliation metrics. - `begin_date` string, date: Start date of the period. - `end_date` string, date: End date of the period. - `begin_balance` integer: Beginning balance for the period. - `end_balance` integer: Ending balance for the period. - `txn_count` integer: Number of transactions in the period. - `uploaded_doc_uuid` string, uuid: UUID of the uploaded document associated with the period, if available. - `missing_period_data` boolean: Indicates whether period data is missing. - `average_amount` string: Average transaction amount for the period. - `average_daily_balance` string: Average daily balance for the period. - `average_daily_balance_weekday` string: Average daily balance on weekdays for the period. - `average_daily_cash_flow` string: Average daily cash flow for the period. - `average_deposit` string: Average deposit amount for the period. - `deposit_sum` string: Total deposit amount for the period. - `deposit_count` string: Number of deposits in the period. - `max_deposit` string: Maximum deposit amount in the period. - `average_withdrawal` string: Average withdrawal amount for the period. - `withdrawal_sum` string: Total withdrawal amount for the period. - `withdrawal_count` string: Number of withdrawals in the period. - `max_withdrawal` string: Maximum withdrawal amount in the period. - `revenue` string: Revenue amount for the period. - `revenue_count` string: Number of revenue transactions in the period. - `revenue_deduction` string: Revenue deduction amount for the period. - `expense` string: Expense amount for the period. - `expense_count` string: Number of expense transactions in the period. - `large_deposits` string: Total amount of large deposits in the period. - `negative_balances` string[]: List of negative balance values observed in the period. - `negative_balances_weekday` string[]: List of weekday negative balance values observed in the period. - `nsf_days_count` string: Number of days with NSF events in the period. - `nsf_fee_sum` string: Total NSF fees in the period. - `nsf_fee_count` string: Count of NSF fee events in the period. - `nsf_raw_fee_count` string: Count of raw NSF fee events in the period. - `nsf_divisor` string: Divisor used for NSF-related calculations. - `overdraft_days_count` string: Number of overdraft days in the period. - `overdraft_fee_sum` string: Total overdraft fees in the period. - `overdraft_fee_count` string: Count of overdraft fee events in the period. - `overdraft_raw_fee_count` string: Count of raw overdraft fee events in the period. - `overdraft_divisor` string: Divisor used for overdraft-related calculations. - `nsf_or_overdraft_days_count` string: Number of days with either NSF or overdraft events in the period. - `returned_item_deposit_count` string: Number of returned deposit items in the period. - `returned_item_withdrawal_count` string: Number of returned withdrawal items in the period. - `has_weekend_txn` boolean: Indicates whether the period contains weekend transactions. - `calculated_end_balance` string: Calculated ending balance for reconciliation. - `calculated_diff` string: Difference between reported and calculated ending balance. - `primary_recon_error_reason` string: Primary reconciliation error reason, if any. - `secondary_recon_error_reason` string: Secondary reconciliation error reason, if any. - `expense_by_month` object: Expense amounts grouped by month in YYYY-MM format. - `withdrawals_by_month` object: Withdrawal amounts grouped by month in YYYY-MM format. - `revenue_by_month` object: Revenue amounts grouped by month in YYYY-MM format. - `revenue_deduction_by_month` object: Revenue deduction amounts grouped by month in YYYY-MM format. - `deposits_by_month` object: Deposit amounts grouped by month in YYYY-MM format. - `outside_source_deposits_by_month` object: Deposits from outside sources grouped by month in YYYY-MM format. - `large_deposits_by_month` object: Large deposits grouped by month in YYYY-MM format. - `debt_consolidator_inflows_by_month` object: Debt consolidator inflows grouped by month in YYYY-MM format. - `debt_consolidator_outflows_by_month` object: Debt consolidator outflows grouped by month in YYYY-MM format. - `factoring_inflows_by_month` object: Factoring inflows grouped by month in YYYY-MM format. - `factoring_outflows_by_month` object: Factoring outflows grouped by month in YYYY-MM format. - `payroll_inflows_by_month` object: Payroll inflows grouped by month in YYYY-MM format. - `payroll_outflows_by_month` object: Payroll outflows grouped by month in YYYY-MM format. - `insurance_inflows_by_month` object: Insurance inflows grouped by month in YYYY-MM format. - `insurance_outflows_by_month` object: Insurance outflows grouped by month in YYYY-MM format. - `venmo_zelle_cashapp_inflows_by_month` object: Venmo, Zelle, and Cash App inflows grouped by month in YYYY-MM format. - `venmo_zelle_cashapp_outflows_by_month` object: Venmo, Zelle, and Cash App outflows grouped by month in YYYY-MM format. - `atm_inflows_by_month` object: ATM inflows grouped by month in YYYY-MM format. - `atm_outflows_by_month` object: ATM outflows grouped by month in YYYY-MM format. - `tolls_inflows_by_month` object: Tolls inflows grouped by month in YYYY-MM format. - `tolls_outflows_by_month` object: Tolls outflows grouped by month in YYYY-MM format. - `paypal_inflows_by_month` object: PayPal inflows grouped by month in YYYY-MM format. - `paypal_outflows_by_month` object: PayPal outflows grouped by month in YYYY-MM format. - `equipment_lease_inflows_by_month` object: Equipment lease inflows grouped by month in YYYY-MM format. - `equipment_lease_outflows_by_month` object: Equipment lease outflows grouped by month in YYYY-MM format. - `checks_inflows_by_month` object: Check inflows grouped by month in YYYY-MM format. - `checks_outflows_by_month` object: Check outflows grouped by month in YYYY-MM format. - `txn_four_zeros_inflows_by_month` object: Transactions with four zeros inflows grouped by month in YYYY-MM format. - `txn_four_zeros_outflows_by_month` object: Transactions with four zeros outflows grouped by month in YYYY-MM format. - `txn_five_zeros_inflows_by_month` object: Transactions with five zeros inflows grouped by month in YYYY-MM format. - `txn_five_zeros_outflows_by_month` object: Transactions with five zeros outflows grouped by month in YYYY-MM format. - `probable_recurring_txns_inflows_by_month` object: Probable recurring transaction inflows grouped by month in YYYY-MM format. - `probable_recurring_txns_outflows_by_month` object: Probable recurring transaction outflows grouped by month in YYYY-MM format. - `fintech_loan_inflows_by_month` object: Fintech loan inflows grouped by month in YYYY-MM format. - `fintech_loan_outflows_by_month` object: Fintech loan outflows grouped by month in YYYY-MM format. - `bank_loan_inflows_by_month` object: Bank loan inflows grouped by month in YYYY-MM format. - `bank_loan_outflows_by_month` object: Bank loan outflows grouped by month in YYYY-MM format. - `other_loan_inflows_by_month` object: Other loan inflows grouped by month in YYYY-MM format. - `other_loan_outflows_by_month` object: Other loan outflows grouped by month in YYYY-MM format. - `fintech_mca_inflows_by_month` object: Fintech MCA inflows grouped by month in YYYY-MM format. - `fintech_mca_outflows_by_month` object: Fintech MCA outflows grouped by month in YYYY-MM format. - `bank_cash_advance_inflows_by_month` object: Bank cash advance inflows grouped by month in YYYY-MM format. - `bank_cash_advance_outflows_by_month` object: Bank cash advance outflows grouped by month in YYYY-MM format. - `debit_card_inflows_by_month` object: Debit card inflows grouped by month in YYYY-MM format. - `debit_card_outflows_by_month` object: Debit card outflows grouped by month in YYYY-MM format. - `credit_card_inflows_by_month` object: Credit card inflows grouped by month in YYYY-MM format. - `credit_card_outflows_by_month` object: Credit card outflows grouped by month in YYYY-MM format. - `merchant_service_inflows_by_month` object: Merchant service inflows grouped by month in YYYY-MM format. - `merchant_service_outflows_by_month` object: Merchant service outflows grouped by month in YYYY-MM format. - `sba_inflows_by_month` object: SBA inflows grouped by month in YYYY-MM format. - `sba_outflows_by_month` object: SBA outflows grouped by month in YYYY-MM format. - `remote_inflows_by_month` object: Remote inflows grouped by month in YYYY-MM format. - `remote_outflows_by_month` object: Remote outflows grouped by month in YYYY-MM format. - `benefits_inflows_by_month` object: Benefits inflows grouped by month in YYYY-MM format. - `benefits_outflows_by_month` object: Benefits outflows grouped by month in YYYY-MM format. - `card_rewards_inflows_by_month` object: Card rewards inflows grouped by month in YYYY-MM format. - `card_rewards_outflows_by_month` object: Card rewards outflows grouped by month in YYYY-MM format. - `crypto_inflows_by_month` object: Crypto inflows grouped by month in YYYY-MM format. - `crypto_outflows_by_month` object: Crypto outflows grouped by month in YYYY-MM format. - `gambling_inflows_by_month` object: Gambling inflows grouped by month in YYYY-MM format. - `gambling_outflows_by_month` object: Gambling outflows grouped by month in YYYY-MM format. - `investment_inflows_by_month` object: Investment inflows grouped by month in YYYY-MM format. - `investment_outflows_by_month` object: Investment outflows grouped by month in YYYY-MM format. - `reversed_inflows_by_month` object: Reversed inflows grouped by month in YYYY-MM format. - `reversed_outflows_by_month` object: Reversed outflows grouped by month in YYYY-MM format. - `state_tax_inflows_by_month` object: State tax inflows grouped by month in YYYY-MM format. - `state_tax_outflows_by_month` object: State tax outflows grouped by month in YYYY-MM format. - `payroll_tax_inflows_by_month` object: Payroll tax inflows grouped by month in YYYY-MM format. - `payroll_tax_outflows_by_month` object: Payroll tax outflows grouped by month in YYYY-MM format. - `internal_transfer_inflows_by_month` object: Internal transfer inflows grouped by month in YYYY-MM format. - `internal_transfer_outflows_by_month` object: Internal transfer outflows grouped by month in YYYY-MM format. - `merchant_service_transfer_inflows_by_month` object: Merchant service transfer inflows grouped by month in YYYY-MM format. - `merchant_service_transfer_outflows_by_month` object: Merchant service transfer outflows grouped by month in YYYY-MM format. - `wire_transfer_inflows_by_month` object: Wire transfer inflows grouped by month in YYYY-MM format. - `wire_transfer_outflows_by_month` object: Wire transfer outflows grouped by month in YYYY-MM format. - `other_transfer_inflows_by_month` object: Other transfer inflows grouped by month in YYYY-MM format. - `other_transfer_outflows_by_month` object: Other transfer outflows grouped by month in YYYY-MM format. - `truck_stop_inflows_by_month` object: Truck stop inflows grouped by month in YYYY-MM format. - `truck_stop_outflows_by_month` object: Truck stop outflows grouped by month in YYYY-MM format. - `federal_tax_inflows_by_month` object: Federal tax inflows grouped by month in YYYY-MM format. - `federal_tax_outflows_by_month` object: Federal tax outflows grouped by month in YYYY-MM format. - `bank_branch_inflows_by_month` object: Bank branch inflows grouped by month in YYYY-MM format. - `bank_branch_outflows_by_month` object: Bank branch outflows grouped by month in YYYY-MM format. - `credit_builder_inflows_by_month` object: Credit builder inflows grouped by month in YYYY-MM format. - `credit_builder_outflows_by_month` object: Credit builder outflows grouped by month in YYYY-MM format. - `custom_test_tag_by_month` object: Test tag transactions grouped by month in YYYY-MM format. - `expense_count_by_month` object: Count of expense transactions grouped by month in YYYY-MM format. - `withdrawals_count_by_month` object: Count of withdrawal transactions grouped by month in YYYY-MM format. - `revenue_count_by_month` object: Count of revenue transactions grouped by month in YYYY-MM format. - `deposits_count_by_month` object: Count of deposit transactions grouped by month in YYYY-MM format. - `daily_balances` object: Daily balances keyed by date in YYYY-MM-DD format. - `daily_cash_flows` object: Daily cash flows keyed by date in YYYY-MM-DD format. - `average_daily_balance` string: Average daily balance across the period. - `average_daily_cash_flow` string: Average daily cash flow across the period. - `average_daily_balance_weekday` string: Average daily balance on weekdays across the period. - `total_days` integer: Total number of days in the period. - `net_cash_flows_by_month` object: Net cash flows keyed by month in YYYY-MM format. - `minimum_balance_by_month` object: Minimum balances keyed by month in YYYY-MM format. - `maximum_balance_by_month` object: Maximum balances keyed by month in YYYY-MM format. - `average_daily_balance_by_month` object: Average daily balances keyed by month in YYYY-MM format. - `average_daily_balance_weekday_by_month` object: Average daily balances on weekdays keyed by month in YYYY-MM format. - `negative_balances_by_month` object: Dates of negative balances keyed by month in YYYY-MM format. - `negative_balances_count_by_month` object: Count of negative balances grouped by month in YYYY-MM format. - `negative_balances_weekday_by_month` object: Dates of negative balances on weekdays keyed by month in YYYY-MM format. - `negative_balances_weekday_count_by_month` object: Count of negative balances on weekdays keyed by month in YYYY-MM format. - `nsf_fee_count_by_month` object: Count of NSF fees keyed by month in YYYY-MM format. - `nsf_raw_fee_count_by_month` object: Count of raw NSF fees keyed by month in YYYY-MM format. - `overdraft_fee_count_by_month` object: Count of overdraft fees keyed by month in YYYY-MM format. - `overdraft_raw_fee_count_by_month` object: Count of raw (pre-dedup) overdraft fees keyed by month in YYYY-MM format. - `returned_item_deposit_count_by_month` object: Count of returned item deposits keyed by month in YYYY-MM format. - `returned_item_withdrawal_count_by_month` object: Count of returned item withdrawals keyed by month in YYYY-MM format. - `average_txn_size_by_month` object: Average transaction size keyed by month in YYYY-MM format. - `average_deposits_by_month` object: Average deposits keyed by month in YYYY-MM format. - `fintech_loan_sources` object[]: List of identified fintech loan providers with deposit/payment breakdowns and frequencies. - `source` string: Name of the fintech loan source. - `deposit_sum` string: Sum of deposits from this source. - `deposit_count` integer: Count of deposits from this source. - `deposits` object: Deposits keyed by month in YYYY-MM format. - `pmt_sum` string: Sum of payments from this source. - `pmt_count` integer: Count of payments from this source. - `pmt_frequency_days` integer: Frequency of payments in days. - `pmts` object: Payments keyed by month in YYYY-MM format. - `events` object[]: List of events associated with this fintech loan source. - `fintech_mca_sources` object[]: List of identified Merchant Cash Advance (MCA) providers with deposit/payment breakdowns. - `num_fintech_loan_sources` integer: Number of identified fintech loan providers. - `num_fintech_mca_sources` integer: Number of identified MCA providers. - `counterparties` object[]: List of counterparties categorized by type. - `category` string: Category of the counterparties. - `distribution` object[]: Distribution of amounts by counterparty. - `counterparty` string: Name of the counterparty. - `rank` integer: Rank of the counterparty. - `proportion` string: Proportion of the total for this counterparty. - `amount` string: Total amount for this counterparty. - `average_per_counterparty` string: Average amount per counterparty in this category. - `num_counterparties` integer: Number of counterparties in this category. - `cash_flow_at_a_glance` object: Summary of cash flow metrics. - `average_deposit_count` integer: Average count of deposits across all months. - `total_revenue` string: Total revenue across all months. - `average_monthly_revenue` string: Average monthly revenue. - `total_expense` string: Total expense across all months. - `average_monthly_expense` string, float: Average monthly expense. - `total_loan_proceeds` string, float: Total loan proceeds received. - `total_loan_payments` string: Total loan payments made. - `debt_coverage_ratio` string: Debt coverage ratio (revenue/loan payments). - `total_nsf_fee_count` integer: Total count of NSF fees across all months. - `naics6_description` string: The description of the 6-digit NAICS code, indicating the specific industry classification of the business. - `mcc_code` string: Merchant Category Code (MCC) that classifies the business by the type of goods or services offered. - `mcc_description` string: Description of the Merchant Category Code. - `sic_code` string: Standard Industrial Classification (SIC) code for the business. - `sic_description` string: Description of the Standard Industrial Classification code. - `active_override` boolean: Indicates whether an active override has been applied to the business entity. - `expense_by_month` object: Expense amounts grouped by month in YYYY-MM format. - `withdrawals_by_month` object: Withdrawal amounts grouped by month in YYYY-MM format. - `revenue_by_month` object: Revenue amounts grouped by month in YYYY-MM format. - `revenue_deduction_by_month` object: Revenue deduction amounts grouped by month in YYYY-MM format. - `deposits_by_month` object: Deposit amounts grouped by month in YYYY-MM format. - `outside_source_deposits_by_month` object: Deposits from outside sources grouped by month in YYYY-MM format. - `large_deposits_by_month` object: Large deposits grouped by month in YYYY-MM format. - `debt_consolidator_inflows_by_month` object: Debt consolidator inflows grouped by month in YYYY-MM format. - `debt_consolidator_outflows_by_month` object: Debt consolidator outflows grouped by month in YYYY-MM format. - `factoring_inflows_by_month` object: Factoring inflows grouped by month in YYYY-MM format. - `factoring_outflows_by_month` object: Factoring outflows grouped by month in YYYY-MM format. - `payroll_inflows_by_month` object: Payroll inflows grouped by month in YYYY-MM format. - `payroll_outflows_by_month` object: Payroll outflows grouped by month in YYYY-MM format. - `insurance_inflows_by_month` object: Insurance inflows grouped by month in YYYY-MM format. - `insurance_outflows_by_month` object: Insurance outflows grouped by month in YYYY-MM format. - `venmo_zelle_cashapp_inflows_by_month` object: Venmo, Zelle, and Cash App inflows grouped by month in YYYY-MM format. - `venmo_zelle_cashapp_outflows_by_month` object: Venmo, Zelle, and Cash App outflows grouped by month in YYYY-MM format. - `atm_inflows_by_month` object: ATM inflows grouped by month in YYYY-MM format. - `atm_outflows_by_month` object: ATM outflows grouped by month in YYYY-MM format. - `tolls_inflows_by_month` object: Tolls inflows grouped by month in YYYY-MM format. - `tolls_outflows_by_month` object: Tolls outflows grouped by month in YYYY-MM format. - `paypal_inflows_by_month` object: PayPal inflows grouped by month in YYYY-MM format. - `paypal_outflows_by_month` object: PayPal outflows grouped by month in YYYY-MM format. - `equipment_lease_inflows_by_month` object: Equipment lease inflows grouped by month in YYYY-MM format. - `equipment_lease_outflows_by_month` object: Equipment lease outflows grouped by month in YYYY-MM format. - `checks_inflows_by_month` object: Check inflows grouped by month in YYYY-MM format. - `checks_outflows_by_month` object: Check outflows grouped by month in YYYY-MM format. - `txn_four_zeros_inflows_by_month` object: Transactions with four zeros inflows grouped by month in YYYY-MM format. - `txn_four_zeros_outflows_by_month` object: Transactions with four zeros outflows grouped by month in YYYY-MM format. - `txn_five_zeros_inflows_by_month` object: Transactions with five zeros inflows grouped by month in YYYY-MM format. - `txn_five_zeros_outflows_by_month` object: Transactions with five zeros outflows grouped by month in YYYY-MM format. - `probable_recurring_txns_inflows_by_month` object: Probable recurring transaction inflows grouped by month in YYYY-MM format. - `probable_recurring_txns_outflows_by_month` object: Probable recurring transaction outflows grouped by month in YYYY-MM format. - `fintech_loan_inflows_by_month` object: Fintech loan inflows grouped by month in YYYY-MM format. - `fintech_loan_outflows_by_month` object: Fintech loan outflows grouped by month in YYYY-MM format. - `bank_loan_inflows_by_month` object: Bank loan inflows grouped by month in YYYY-MM format. - `bank_loan_outflows_by_month` object: Bank loan outflows grouped by month in YYYY-MM format. - `other_loan_inflows_by_month` object: Other loan inflows grouped by month in YYYY-MM format. - `other_loan_outflows_by_month` object: Other loan outflows grouped by month in YYYY-MM format. - `fintech_mca_inflows_by_month` object: Fintech MCA inflows grouped by month in YYYY-MM format. - `fintech_mca_outflows_by_month` object: Fintech MCA outflows grouped by month in YYYY-MM format. - `bank_cash_advance_inflows_by_month` object: Bank cash advance inflows grouped by month in YYYY-MM format. - `bank_cash_advance_outflows_by_month` object: Bank cash advance outflows grouped by month in YYYY-MM format. - `debit_card_inflows_by_month` object: Debit card inflows grouped by month in YYYY-MM format. - `debit_card_outflows_by_month` object: Debit card outflows grouped by month in YYYY-MM format. - `credit_card_inflows_by_month` object: Credit card inflows grouped by month in YYYY-MM format. - `credit_card_outflows_by_month` object: Credit card outflows grouped by month in YYYY-MM format. - `merchant_service_inflows_by_month` object: Merchant service inflows grouped by month in YYYY-MM format. - `merchant_service_outflows_by_month` object: Merchant service outflows grouped by month in YYYY-MM format. - `sba_inflows_by_month` object: SBA inflows grouped by month in YYYY-MM format. - `sba_outflows_by_month` object: SBA outflows grouped by month in YYYY-MM format. - `remote_inflows_by_month` object: Remote inflows grouped by month in YYYY-MM format. - `remote_outflows_by_month` object: Remote outflows grouped by month in YYYY-MM format. - `benefits_inflows_by_month` object: Benefits inflows grouped by month in YYYY-MM format. - `benefits_outflows_by_month` object: Benefits outflows grouped by month in YYYY-MM format. - `card_rewards_inflows_by_month` object: Card rewards inflows grouped by month in YYYY-MM format. - `card_rewards_outflows_by_month` object: Card rewards outflows grouped by month in YYYY-MM format. - `crypto_inflows_by_month` object: Crypto inflows grouped by month in YYYY-MM format. - `crypto_outflows_by_month` object: Crypto outflows grouped by month in YYYY-MM format. - `gambling_inflows_by_month` object: Gambling inflows grouped by month in YYYY-MM format. - `gambling_outflows_by_month` object: Gambling outflows grouped by month in YYYY-MM format. - `investment_inflows_by_month` object: Investment inflows grouped by month in YYYY-MM format. - `investment_outflows_by_month` object: Investment outflows grouped by month in YYYY-MM format. - `reversed_inflows_by_month` object: Reversed inflows grouped by month in YYYY-MM format. - `reversed_outflows_by_month` object: Reversed outflows grouped by month in YYYY-MM format. - `state_tax_inflows_by_month` object: State tax inflows grouped by month in YYYY-MM format. - `state_tax_outflows_by_month` object: State tax outflows grouped by month in YYYY-MM format. - `payroll_tax_inflows_by_month` object: Payroll tax inflows grouped by month in YYYY-MM format. - `payroll_tax_outflows_by_month` object: Payroll tax outflows grouped by month in YYYY-MM format. - `internal_transfer_inflows_by_month` object: Internal transfer inflows grouped by month in YYYY-MM format. - `internal_transfer_outflows_by_month` object: Internal transfer outflows grouped by month in YYYY-MM format. - `merchant_service_transfer_inflows_by_month` object: Merchant service transfer inflows grouped by month in YYYY-MM format. - `merchant_service_transfer_outflows_by_month` object: Merchant service transfer outflows grouped by month in YYYY-MM format. - `wire_transfer_inflows_by_month` object: Wire transfer inflows grouped by month in YYYY-MM format. - `wire_transfer_outflows_by_month` object: Wire transfer outflows grouped by month in YYYY-MM format. - `other_transfer_inflows_by_month` object: Other transfer inflows grouped by month in YYYY-MM format. - `other_transfer_outflows_by_month` object: Other transfer outflows grouped by month in YYYY-MM format. - `truck_stop_inflows_by_month` object: Monthly truck stop inflows. - `truck_stop_outflows_by_month` object: Monthly truck stop outflows. - `federal_tax_inflows_by_month` object: Monthly federal tax inflows. - `federal_tax_outflows_by_month` object: Monthly federal tax outflows. - `bank_branch_inflows_by_month` object: Monthly bank branch inflows. - `bank_branch_outflows_by_month` object: Monthly bank branch outflows. - `credit_builder_inflows_by_month` object: Monthly credit builder inflows. - `credit_builder_outflows_by_month` object: Monthly credit builder outflows. - `custom_tag_by_month` object: Monthly values for this custom tag category. - `expense_count_by_month` object: Monthly expense transaction counts. - `withdrawals_count_by_month` object: Monthly withdrawal transaction counts. - `revenue_count_by_month` object: Monthly revenue transaction counts. - `deposits_count_by_month` object: Monthly deposit transaction counts. ## Other responses - `400`: Invalid Auth/Business ID format - `403`: Business not associated with requesting organization - `404`: Business Identity Not Found - `500`: Internal server error --- [API](https://skmtc.dev/ocrolus/apis/business-history.md) - [All operations](https://skmtc.dev/ocrolus/apis/business-history/llms.txt) - [OpenAPI document](https://skmtc.dev/ocrolus/apis/business-history/revisions/8f419cb52efa?raw)