What the data for this category looks like
Brand agency operation yield and market daily report data primarily comes from the merchant backends of e-commerce platforms partnered with brands, advertising delivery APIs, and internal inventory and sales systems of the agency. Data is updated once daily, usually with full data aggregation for the previous day completed during the early hours of the next day. Complete datasets are available by 09:00 on the current day. Data is stored in structured formats, commonly CSV or JSON. Each row corresponds to daily statistics for a single SKU. Core fields include statistical date, SKU code, GMV amount, advertising spend amount, agency service fee, and gross profit amount. All amount fields use yuan as the unit, and there are no percentage-based statistical items. Data is grouped by brand and serviced SKU to facilitate subsequent analysis for individual brands or single SKUs.
What constraints do these characteristics impose on tool calling and plugins?
The multi-source and scattered nature of data for this category requires that tool calling workflows configure plugins for multiple data sources, connecting separately to e-commerce platforms, advertising delivery systems, and inventory and sales systems. Each plugin must be configured with separate authentication parameters for its corresponding platform. The T+1 data update rhythm requires that scheduled tool tasks be set to run after 09:00 daily, to avoid pulling incomplete aggregated data. The structured, SKU-grouped format requires that SKU code be specified as a filter parameter during tool calling, to ensure returned datasets match analysis targets. The rule that amount fields have no percentage statistics requires that plugins be configured with data validation logic to filter abnormal negative values or amount data outside reasonable ranges, to prevent errors in subsequent analysis.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
CRON_EXPRESSION | 0 0 9 * * * | Matches the T+1 update rhythm of brand agency operation yield data, triggers data pulling at 09:00 daily |
plugin_data_sources | e-commerce platform API, advertising delivery API, inventory and sales API | Covers all core sources of data for this category, avoids data gaps |
field_filter_list | statistical date, SKU code, GMV amount, advertising spend amount | Retains core analysis fields, reduces redundant data volume for subsequent processing |
api_request_timeout | 300 seconds | Adapts to network latency across multiple platform API calls, prevents premature request termination |
minio_bucket | brand-operation-yield | Names the storage bucket by business scenario, facilitates archiving and retrieval of yield data related to agency operations |
parse_enable_validate | Enabled | Validates the legitimacy of amount fields, filters abnormal negative values or statistical data outside reasonable ranges |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on local samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: When calling a data storage plugin, the interface prompts a minio connection failure, and pulled yield data cannot be saved. Cause: Access keys for minio and storage bucket name were not configured correctly, preventing the plugin from establishing a valid connection.
- Symptom: After installing a database connection plugin, attempting to pull inventory and sales data returns a
500 Internal Server Error. Cause: The port number in the database connection parameters was configured incorrectly, or the database firewall did not open corresponding access permissions. - Symptom: When calling an advertising delivery API to pull daily report data for a specified SKU, valid
dataIdcannot be obtained, and an empty result is returned. Cause: Correct brand authorization credentials were not included in the API request header, or the correct SKU code filter condition was not specified.
How to Confirm Configuration is Complete
- Initiate a manual run of the data pulling plugin, check the task execution log to confirm there are no abnormal error messages.
- Access the minio storage bucket, verify if yield data files for the corresponding business scenario have been generated, and confirm the file structure matches the configured export rules.
- Execute the built-in test function of the database connection plugin, enter the configured connection parameters, and verify normal reading of data from the inventory and sales data source.
- Cross-check the CRON expression for the scheduled trigger configuration, confirm it matches the data update rhythm, and confirm there are no syntax errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.