zapier-analytics

Show the status of collected analytics

$ zapier analytics

$ zapier analytics [[-m|--mode]] [enabled|anonymous|disabled]

$ zapier analytics [[-m|--mode]] [enabled|anonymous|disabled] [[-d|--debug]]

zapier-analytics [options] command [arguments]
zapier-analytics --help
zapier-analytics --version
zapier-analytics report [--metric <name>] [--start-date <date>] [--end-date <date>] [--format <type>]
zapier-analytics export [--metric <name>] [--output <file>] [--format <type>]

--help, -h
    Display a help message and exit.

--version, -V
    Show program's version number and exit.

report
    Subcommand to generate analytical reports based on specified criteria.

export
    Subcommand to export raw or processed analytical data to a file.

--metric
    Specifies the analytics metric to query, e.g., "task_runs", "error_rate", "api_calls".

--start-date
    Defines the beginning of the data collection period (e.g., YYYY-MM-DD).

--end-date
    Defines the end of the data collection period (e.g., YYYY-MM-DD).

--format
    Specifies the output format for data, such as "json", "csv", or "table".

--output
    Specifies the file path to save exported data.

--user-id
    Filters analytics data to a specific Zapier user ID.

--workflow-id
    Filters analytics data to a specific Zap or workflow ID.

--period
    Aggregates data by a specific time period, e.g., "daily", "weekly", "monthly".

The zapier-analytics command is conceptualized as a specialized command-line interface (CLI) tool designed for interacting with Zapier's analytics infrastructure. It is not a standard Linux utility found in typical distributions but would likely be an internal tool or a specific CLI provided by Zapier for advanced users, developers, or internal operations.

Its primary purpose would be to extract, analyze, and present data related to Zapier automation usage, such as task run counts, error rates, workflow performance, and user activity. This tool could enable users to gain deeper insights into their Zapier integrations, monitor efficiency, identify bottlenecks, and make data-driven decisions regarding their automation strategies. It might support various data filtering, aggregation, and output formats to cater to different analytical needs, making complex Zapier usage data accessible directly from the command line.

It is important to note that zapier-analytics is not a standard command-line utility available in typical Linux distributions. This analysis is based on a hypothetical interpretation of what such a command would entail given its name and the nature of Zapier's services. If this command exists, it is likely an internal tool used by Zapier staff or a specialized CLI provided to specific partners or customers. Its actual functionality, parameters, and usage would depend entirely on its specific implementation by Zapier. Users should not expect to find this command pre-installed on their systems.

Access to zapier-analytics would almost certainly require proper authentication against Zapier's API. This might involve API keys, OAuth tokens, or other secure credentials, potentially managed via environment variables or a configuration file.

The scope of data accessible via this command would likely be determined by the user's permissions and the specific Zapier account or workspace context. It might cover usage data, integration performance, error logs, and task execution details relevant to the authenticated user.

As zapier-analytics is a hypothetical command, its history is purely speculative. If such a tool exists, it would likely have evolved internally within Zapier to meet the growing demands for data insights into their platform's usage and performance. Its development would align with Zapier's expansion and the increasing complexity of user workflows, requiring robust analytical capabilities to monitor system health, user engagement, and billing metrics. Its usage would primarily be internal for support, engineering, and business intelligence teams, or potentially released as a premium feature for enterprise clients needing detailed operational insights.

curl(1), jq(1), aws(1), gcloud(1), grep(1)