What this type of data looks like
Profit yield data for brand agency operations comes primarily from open merchant platform APIs of partnered e-commerce platforms, reconciliation files provided by brand partners, and settlement systems internal to the agency operation team. Full statistical data for the previous natural day updates at fixed daily time periods. Temporary supplementary updates may apply to special event data for some brands. Data documents use structured JSON or CSV format. Each record includes fields such as brand identifier, statistical date, revenue amount, direct cost amount, service settlement amount, and others. All amount fields use Chinese Yuan (RMB) as the uniform unit. Date fields follow the ISO 8601 standard format.
What constraints do these characteristics impose on HTTP interfaces and external systems
The characteristics of multi-brand docking, multiple data sources, fixed-cycle updates plus temporary supplementary updates in brand agency operations impose multiple constraints on HTTP interfaces and external systems. Multi-brand business requirements require the interface to support filtering returned data by brand identifier parameters, to avoid confusion of cross-brand data. Differences across e-commerce platform data sources require the interface configuration to be compatible with multiple authentication methods, to adapt to interface specifications of different partnered platforms. Daily fixed-time full updates require external scheduled pull tasks to avoid peak traffic periods of platform APIs, to reduce the probability of triggering rate limits. Temporary supplementary update scenarios require the interface to support incremental queries by statistical date range, to reduce resource consumption of full pulls. The uniform use of Chinese Yuan as the unit for amount fields without additional identifiers requires the interface to return numeric types as integers or floating-point numbers, to avoid errors caused by unit conversion.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_api_request_timeout | 300 seconds | The average response time of partnered e-commerce platform APIs ranges from 120 to 180 seconds. Sufficient buffer is reserved to avoid timeout failures |
external_api_poll_interval | 86400 seconds | Brand agency operating profit yield data is updated once per day. This interval matches the update rhythm to avoid frequent requests triggering rate limits |
external_api_filter_params | ["brand_id", "stat_date"] | The agency operation scenario requires precise filtering of data by brand identifier and statistical date, to ensure returned results meet business requirements |
external_api_retry_max_times | 3 times | Temporary network fluctuations may occur on e-commerce platform APIs. Multiple retries can improve the stability of data pulling |
external_api_incremental_mode | enabled | Temporary supplementary update business scenarios exist. Incremental queries can reduce resource consumption and transmission time of full pulls |
external_api_auth_type | api_key or oauth2 | Select based on the authentication specifications of the partnered platform. Most e-commerce platforms use api_key authentication, while some internal brand systems use oauth2 |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: After the HTTP interface returns data, the configured input parameter variables cannot be bound to the profit yield fields, and the interface displays empty fields. Cause: The data source fields and input parameter variables are not mapped correctly in the interface configuration, causing the system to fail to identify the business data to be extracted.
- Phenomenon: After the scheduled pull task is triggered, a
429 Too Many Requestsstatus code is returned. Cause: The polling interval is set too short, exceeding the rate limit threshold of the partnered e-commerce platform API. No retry mechanism is configured to alleviate temporary rate limit issues. - Phenomenon: Revenue records from non-target brands appear in the pulled data. Cause: The filter field parameters are not configured correctly, or the specified brand identifier is not included in the request, causing the interface to return full data without precise filtering.
How to Confirm the Configuration is Complete
- Initiate a single HTTP interface request, check if the returned structured data includes the configured filter fields and business fields, and verify that the field formats meet expectations.
- Configure a scheduled pull task, wait for a complete update cycle, then check if the pulled data covers the full business content of the corresponding cycle, with no missing or duplicate records.
- Simulate an incremental query request by date range, confirm that only updated data within the specified date interval is returned, and no full historical dataset is returned.
- Trigger a simulated abnormal request, check if the system automatically initiates retries according to the configured maximum retry times, and successfully obtains valid data after retries.
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.