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Fulfillment API reporting page is a report showing request volumes, errors, and
error rates occurring on your fulfillment API Traffic. The report can be found
in the Actions Center by clicking on the "Fulfillment API" link in the
navigation bar. It is useful for a variety of tasks including:
Debugging and troubleshooting during fulfillment API development
Monitoring your traffic health once you are launched
The report contains 3 different types of charts.
Aggregated data
Scorecards showing request volumes and success rate for both the Checkout and
Submit order API endpoints.
Time series data
Graphs showing request volume and errors broken down by error code over time for
both the Checkout and SubmitOrder API endpoints.
Total counts by Error Code
Table showing error codes, how many API responses had that error code and the
percentage of total error responses with that error code for both the Checkout
and SubmitOrder endpoints. The error codes are links to the
GCP Logs Explorer
report filtered on that error code.
The time window for all charts can be adjusted using the Timestamp filter at
the top of the page (default is last 1 day). The time window used in Logs
Explorer won't match the time window of the API report so be sure to adjust the
filter in Logs Explorer after opening the page.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-31 UTC."],[[["The Fulfillment API reporting page provides insights into request volumes, errors, and error rates for your fulfillment API traffic, aiding in debugging, launch readiness verification, and ongoing traffic health monitoring."],["It features aggregated data scorecards, time series graphs for request volume and errors, and a table detailing error codes and their frequencies, all adjustable by time window."],["Error codes in the table link to the GCP Logs Explorer for detailed investigation, and you can export the analytics data using BigQuery Export for further analysis."]]],[]]