What data for this category looks like
Data for this category primarily originates from advertising platform APIs, internal asset libraries, user interaction data, and delivery conversion data. Update cycles are mostly daily or weekly. Daily associated documents include creative scripts, asset test sheets, delivery data reports, and iteration checklists. Data fields include asset type, copy content, delivery time slots, click-through rate, conversion cost, and more. Units include counts, yuan, hours, etc. Data volume adjusts dynamically based on test scale, and data structures have minor variations across different test tasks.
What constraints these characteristics impose on HTTP interfaces and external systems
Data sources are scattered and involve multiple types of external systems. HTTP interfaces must adapt to the authentication formats and data return structures of different platforms to avoid synchronization failures caused by interface incompatibility. Differences in update cycles require interfaces to have flexible trigger intervals. Daily data requires daily synchronization tasks, while weekly data can be set to trigger weekly. Daily document structures vary, so interfaces must support passing parameters matching different documents to ensure correct delivery of data such as creative scripts and asset test sheets. Data volume changes dynamically, so reasonable batch request thresholds and timeout periods must be configured to avoid overloading or timeout interruptions from single requests.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {FastGPT API Secret Key} | Complies with HTTP interface authentication standards, adapts to authentication requirements of external advertising platforms and systems |
variables | {"素材类型": "video/image", "投放时段": "9:00-21:00 daily"} | Pass core variables for creative testing, matches field structure of asset test sheets |
responseData | Only return asset ID, click-through rate, conversion cost | Filter redundant data, adapts to extraction needs of delivery data reports, reduces interface transmission load |
| Batch request threshold | Up to 50 items per request | Matches batch call limits of advertising platform APIs, avoids triggering rate limiting mechanisms |
| Request timeout period | 300 seconds | Adapts to time consumption requirements of daily batch data pulling, avoids interrupting synchronization tasks midway |
Three common misconfigurations
- Failing to return data IDs after calling the batch data add interface, making mapping with local systems impossible. Cause: The
responseDataparameter was not configured correctly, and the returned data ID field was not specified. - Frequent interface request timeouts leading to failed synchronization of large volumes of asset data. Cause: The request timeout period was set too short, and did not align with actual time consumption for daily batch data pulling.
- Authentication failure, unable to connect to external advertising platform interfaces. Cause: The
Authorizationparameter format was incorrect, the Bearer prefix was missing, or the key configuration was invalid.
How to verify correct configuration
- Call the test interface, check if the returned
responseDatacontains expected business fields, and confirm that parameter configurations match creative testing requirements. - Initiate a small single batch request, verify that the authentication parameter
Authorizationis valid, and that the interface can normally return test data. - Set a scheduled trigger task, check if the data synchronization frequency and business update cycle (daily/weekly) align with expected configurations.
- Simulate high-traffic requests, confirm that the interface load threshold settings are reasonable, and that rate limiting or timeout rules are not triggered.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.