auparse_feed_age_events - Linux


auparse_feed_age_events is a command-line tool for parsing and analyzing age event data from an AgeFeed feed. Its primary purpose is to provide a deep understanding of age events for use cases such as age verification, fraud detection, and risk assessment.


auparse_feed_age_events [OPTIONS] [feed_file]


| Option | Description | Default Value |
| -h, --help | Display usage information | – |
| -v, --version | Display version information | – |
| -o, --output-file | Output the result to the specified file | stdout |
| -f, --format | Output format (json, protobuf, csv) | json |
| -d, --date-range | Filter events by date range (ISO 8601, e.g.: "2023-07-01T00:00:00Z/2023-07-31T23:59:59Z") | – |
| -c, --check-duplication | Check for duplicate events | false |
| -m, --min-event-type | Filter by minimum event type (0-3) | 0 |
| --discovery | Enable discovery mode (experimental) | false |
| --anonymize-identities | Anonymize all identifiers in the output | false |


Simple parsing of all events:

auparse_feed_age_events my_feed.bin

Output to a specific file in CSV format, filtering by event type:

auparse_feed_age_events -f csv -o events.csv my_feed.bin -m 2

Enable discovery mode for advanced analysis:

auparse_feed_age_events --discovery my_feed.bin

Common Issues

  • Ensure that the feed file is in the correct binary format.
  • Verify that the date range provided is valid and matches the data in the feed.
  • Handle duplicate events appropriately, either by checking for duplicates or modifying the feed generation process to avoid them.


Combine auparse_feed_age_events with other tools for advanced analysis:

  • Store the parsed events in a database for long-term storage and querying.
  • Visualize the events using data visualization tools to identify patterns and trends.
  • Use auparse_feed_age_events as part of an automated pipeline for age verification or fraud detection.

Related Commands

  • agefeed – Generate age event data feeds
  • auti – Unified Trust Identity (UTI) system