The Financial Fraud object
From the Fraud Risk Metrics endpoint, you can retrieve the fraud score and metrics for a business.
️ Data Dependencies
- Fraud Risk Metrics have a start and an end date. For a given timeframe, the fraud risk metrics are dependent on the financial statements that exist up to that startDate (inclusive). Missing dependencies may result in incomplete fraud metrics.
- Fraud Risk Metrics will not be available if dependencies are missing or if the service provider connected does not support the data types required. See supported data types for more details.
| Field | Type | Description |
|---|---|---|
| benfordLawScore sortable | decimal | Benford Law Score from 0 to 100. A score of 100 implies perfect conformity to the distribution of first digits defined by Benford's law. |
| outlierScore sortable | decimal | The average of outlier scores for all the accounting transactions, ranging from 0 to 1. A transaction is considered an outlier if it has an individual outlier score of above 0.6. An average above 0.4 most of the times will imply a lot or big outliers in the dataset. (Optional field, conditional on Accounting Transactions having section, group and type and at least 10 transactions). |
| outlierRatio sortable | decimal | The number of outlier transactions divided by the total number of transactions. (Optional field, conditional on Accounting Transactions having section, group and type and at least 10 transactions). |
| outlierTransactions | array | An array of outlier transactions. List of outlier transactions, defined as having a score greater than 0.6. |
| transactionKeywords | array | An array of transaction keywords. Count of transactions with keyword ("chargeback", "owner"), grouped by transaction type. (Optional field, conditional on Accounting Transactions having section, group and type and at least 10 transactions with 3 different types). |
| transactionsSectionStats | array | An array of transaction section stats. Count of transactions with Railz section account classification. (Optional field, conditional on Accounting Transactions having section, group and type and at least 10 transactions). |
| transactionPatterns | array | The top 5 transaction patterns, defined as a transaction with the same amount for the same subGroup that exists in more than one month. (Optional field, conditional on Accounting Transactions having section, group and type and at least 10 transactions). |
| currentRatioDelta sortable | decimal | Rate of change for Current Ratio over the two most recent reporting periods. (Optional field, conditional on currentRatio existing in Financial Ratios). |
| quickRatioDelta sortable | decimal | Rate of change for Quick Ratio over the two most recent reporting periods. (Optional field, conditional on quickRatio existing in Financial Ratios). |
| debtToEquityRatioDelta sortable | decimal | Rate of change for Debt-to-Equity Ratio over the two most recent reporting periods. (Optional field, conditional on debtToEquityRatio existing in Financial Ratios). |
| netProfitMarginRatioDelta sortable | decimal | Rate of change for Net Profit Margin over the two most recent reporting periods. (Optional field, conditional on netProfitMarginRatio existing in Financial Ratios). |
Outlier Transactions
| Field | Type | Description |
|---|---|---|
| id | string | Accounting transaction id. |
Transaction Keywords
| Field | Type | Description |
|---|---|---|
| type | string | Transaction type. |
| count | integer | Count of unique transaction type and keyword combination. |
Transaction Section Stats
| Field | Type | Description |
|---|---|---|
| section | string | Highest level classification of an account. See Chart of Accounts. |
| count | integer | The number of occurrences of transactions with section account classification. |
| sdev | decimal | Standard deviation of transaction amounts per section account classification. |
Transaction Patterns
| Field | Type | Description |
|---|---|---|
| repetitionPattern | string | Repetition pattern. |
| count | integer | Number of occurrences for the group and amount pairing. |