What the data for this category looks like
Yield and market trend data for financial advertising and marketing scenarios comes from backend reports of multiple financial advertising management platforms and media-connected API interfaces. Data updates follow a natural daily cycle, with full data for the previous calendar day released at a fixed time each day. The documentation structures data across three dimensions: advertising plan groups, single ad creatives, and delivery time periods. Each document covers full-link delivery metrics for a single creative. Included fields are: creative unique identifier, creative name, impression count, click count, conversion count, total delivery cost, and actual revenue. Impressions, clicks, and conversions use "times" as their unit. Total cost and revenue use yuan as their unit.
Constraints on model integration and configuration
The layered data structure for financial advertising and marketing requires model inputs to clearly specify aggregation dimensions, to avoid mixing metrics from different delivery plans. The fixed daily update rhythm requires model invocation triggers to align with data update times, to avoid using incomplete same-day data. The multi-field data structure requires system prompts to clearly define field mapping rules, to ensure the model correctly recognizes the meaning and units of each metric. The multi-source API characteristic requires configurations to support dynamic binding of multiple interface adapters and authentication parameters. Daily report data has a moderate volume but dense dimensions, so the model invocation context window must accommodate the length of structured data, to avoid truncation of critical delivery metrics.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Structured data from financial advertising and marketing daily reports includes multiple sets of delivery metrics, and must be passed in full to avoid truncation of critical information |
systemPrompt | Organize yield briefing content by ad creative dimension, clearly label the unit of each metric | The layered data structure requires the model to output results by creative dimension, to avoid mixing metrics from different delivery plans |
apiRequestTimeout | 30 seconds | Most financial advertising platform APIs have response delays between 10 and 25 seconds. The timeout setting must cover normal response durations |
variableBindingMode | Precise matching by field name | Daily report data has many fields, with a risk of duplicate naming. Precise matching avoids variable substitution errors |
responseFormat | Natural language briefing format | Structured delivery metrics must be converted into natural language content suitable for external briefing, while retaining data accuracy |
apiRateLimit | No more than 10 calls per minute | Most advertising media APIs have call limits of 10 to 15 calls per minute. Setting this value avoids triggering platform rate limits |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After binding advertising data return results in a workflow, some delivery metric fields appear empty. Cause: Precise matching mode for variables was not enabled, leading to incorrect handling of empty fields in the data.
- Phenomenon: After completing configuration on an external model platform, FastGPT page calls return 401 or 403 status codes. Cause: The model's API key was not filled correctly, or the configured interface address does not point to the correct endpoint of the external platform.
- Phenomenon: When testing the interface on FastGPT's model configuration page, connection timeout or parameter error is returned. Cause: API authentication parameters for the advertising delivery platform were not correctly entered into configuration items, or the requested interface path does not match official documentation.
How to Verify Successful Configuration
- Pass simulated financial advertising and marketing daily report data, and verify that the model output organizes content according to the preset creative dimension, with no cross-dimensional metric mixing.
- Use the test function in the model configuration page, pass the configured API address and authentication parameters, and confirm that the returned response status code meets expectations, with no authentication or connection errors.
- Trigger a manually run workflow, and check that the variable replacement step correctly binds all incoming delivery metrics, with no missing fields or incorrect mappings.
- View the workflow run logs, confirm that the model invocation duration does not exceed the preset timeout threshold, and that the generated briefing content complies with the system prompt requirements.
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.