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13. Statistics

Some services provide a summary endpoint, which is responsible for providing a statistical summary of the service usage. Usually - unless otherwise stated - these values are updated once per hour. These same statistics are available on the dashboard of Trak.e Web in the form of charts and KPIs. Below is a review of the available statistics:

13.1 Profile Statistics

  • Number of profiles by state (num_profiles_by_state): Reports a dictionary containing the number of profiles in each state.
  • Number of profiles by risk (num_profiles_by_risk): Reports a dictionary containing the number of profiles for each risk level, as well as the number of profiles with an undefined risk (e.g., because the matrix has not been run).
  • Number of profiles by person type (num_profiles_by_person_type): Reports a dictionary containing the number of profiles corresponding to natural persons and legal persons.
  • Number of profiles by PEP status (num_profiles_by_pep): Reports a dictionary with the number of profiles according to their politically exposed person (PEP) status. A profile is considered a PEP if they have declared their PEP status during onboarding or at another time (attribute declaration.pep), or if a confirmed hit has been found by an AML analyst (attribute blacklist_found.hit.confirmed). The status is considered undefined if neither of the two pieces of information exists.
  • Number of profiles in the last 30 days (num_latest_profiles): Reports a dictionary with the number of profiles for each day during the last 30 days.
  • Sworn statements (declarations): Reports a dictionary with a brief summary of the sworn statements for the profiles, including PEP sworn statement, SO sworn statement, and FATCA/OCDE.
  • Number of profiles in the last 12 months (profiles_by_month): Reports the number of profiles for each month during the last 12 months.
  • Number of profiles by financial product (profiles_by_financial_product): For each financial product, it reports the number of profiles associated with it.
  • Number of profiles by geographical location (profiles_by_geographic_location): Reports the number of profiles per province (taking the state attribute of the main address as reference).
  • Number of profiles by economic activity (profiles_by_economic_activity): Reports the number of profiles for each existing economic activity code (taking the main activity of each profile as reference).
  • Risk profiles by quarter (profiles_by_risk_last_four_quarters): For each of the last four quarters, it counts the number of profiles according to their risk level.
  • Profiles by age (profiles_by_age): Profiles of natural persons are grouped according to their age (using their birth date stored in natural_person.birth_date as the reference value).

13.2 Alerts

  • Number of alerts by type (num_cases_by_type): Reports the number of alerts by alert type (e.g., Hit on PEP list, AML Alert, Fraud Alert, etc.).
  • Number of open alerts by type (num_open_cases_by_type): Reports the number of open alerts by alert type (e.g., Hit on PEP list, AML Alert, Fraud Alert, etc.).
  • Number of alerts by type per day (num_cases_by_type_by_day): Reports the number of alerts by alert type for each day, during the last 30 days.
  • Number of alerts by type per month (num_cases_by_type_by_month): Reports the number of alerts by alert type for each month, during the last 12 months.
  • Total number of alerts (num_total_cases): Reports the total number of alerts reported on the platform.
  • Total alerts (last 30 days) (open_cases): Reports the total number of alerts per day during the last 30 days.
  • Alerts in progress (last 30 days) (inprogress_cases): Reports the total number of alerts in progress or closed per day during the last 30 days.
  • Closed alerts (last 30 days) (closed_cases): Reports the total number of closed alerts per day during the last 30 days.
  • Number of overdue alerts (num_due_cases): Number of overdue alerts.
  • Total number of open alerts (num_open_cases): Total number of open alerts.

13.3 Transactions

  • Total number of transactions reported to the platform (num_total_transactions).
  • Number of transactions per day (num_transactions_by_day): Reports the total number of transactions added to the platform per day during the last 30 days.
  • Number of transactions by type per day (num_transactions_by_type_by_day): Reports the number of transactions categorized by type (e.g., inter-account transfer, electronic payment, etc.) during the last 30 days.
  • Income distribution (annual_income_distribution): Reports the amount of annual income in four equally-sized buckets, calculated from the highest and lowest incomes.

13.4 Monitoring:

  • Active transactional monitoring rules (total_config_monitoring_rules): Reports the number of active transactional monitoring rules.
  • Active profile monitoring rules (total_config_profile_monitoring_rules): Reports the number of active profile monitoring rules.

13.5 Other rules

  • Automation rules for profiles (total_config_generic_rules): Reports the total number of active automation rules for profiles.
  • Risk rules (total_config_risk_rules): Reports whether the entity has an active risk matrix (1 if true, 0 if false).
  • Transactional profile rules (total_config_transaction_rules): Reports whether the entity has active transactional profile rules (1 if true, 0 if false).