What the data for this category looks like
This category's data primarily comes from advertising delivery platforms, attribution analysis systems, CRM lead management systems, and landing page data collection tools. Data update cycles are typically daily or real-time. Core documents include daily delivery reports, weekly performance reports, real-time price adjustment records, material A/B test ledgers, and optimization review reports. Data fields include impressions, clicks, conversions, customer acquisition cost, and more. Units are mostly counts, yuan, and individuals. Some indicators require cross-table calculations across multiple systems to produce final results.
What constraints these characteristics impose on HTTP APIs and External Systems
Because data sources are scattered and update cycles differ, HTTP APIs must support parallel pulling of multi-source data and scheduled synchronization to avoid single-request timeouts. APIs for real-time indicators need short-period polling or callback mechanisms to adapt to the dynamic adjustment needs of advertising delivery. For fields associated with multiple systems, clear mapping rules must be defined in APIs to ensure consistency across system data. APIs for batch data such as daily and weekly reports must support paginated returns to prevent excessive single-transmission load. Additionally, APIs must accommodate differences in field naming across different systems to reduce additional data cleaning costs. Furthermore, APIs must configure the Authorization field for identity verification, support variables for dynamic binding of business parameters, and filter responseData to return core delivery indicators to improve call efficiency.
How to configure settings
This page's configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout duration | 30–60 seconds | Adapts to the standard response duration of advertising platform APIs, preventing interruptions to real-time data pulling tasks |
| Single-request data volume | First 100 entries | Controls batch data transmission load, adapting to the batch pulling needs of daily and weekly reports |
| Authentication token configuration | Carry Bearer-format platform secrets | Complies with HTTP API authentication standards, compatible with identity verification rules for multiple advertising platforms |
| Dynamic variable binding | Bind advertising account ID, data start date | Supports dynamic replacement of API parameters for different delivery projects, improving call flexibility |
| Return field filtering | Only retain impressions, clicks, conversions, customer acquisition cost | Reduces invalid data transmission, focusing on core indicators for delivery effect optimization |
| Callback address setup | Configure internal enterprise data receiving services | Supports real-time data push, replacing polling to reduce server resource usage |
Three common misconfigurations
- Symptom: The API returns empty fields or an error when the
metadataparameter is included in the call. Cause: The business mapping rules for the parameter are not clearly defined, and the parameter description is not added to the API documentation, causing the system to fail to recognize the parameter's purpose. - Symptom: A 404 status code is returned when attempting to download a knowledge base uploaded file via the API. Cause: The path parameters for the file download API are not correctly concatenated, or the unique identifier for the corresponding file is not included.
- Symptom: Timeouts occur when calling the API to obtain MCP tool call records for workflow execution. Cause: A reasonable request timeout duration is not configured, or the MCP tool call results are not paginated, leading to excessive single-request data volume.
How to confirm configurations are set correctly
- Initiate a single test request, verify that the returned
responseDatafield matches the preset core delivery indicators. - Verify that the authentication configuration passes the advertising platform's identity verification, with no 401-level errors.
- Adjust request parameters to bind dynamic variables, confirm that requests for different delivery projects can correctly replace parameters.
- Test batch data pulling, confirm that pagination parameters can normally return multi-page data.
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.