What this type of data looks like
Sources of insurance yield rate data include official product operation reports disclosed by insurance companies and public filing documents from industry self-regulatory organizations. Update frequency varies by insurance type: universal life insurance data is updated monthly, dividend-type insurance data is updated quarterly, and annuity insurance data is updated annually.
The documents use a structured format, including product unique identifier, full product name, protection type classification, monthly settlement quantized value, minimum guarantee quantized value, release date, and effective start date. Quantized value fields use the industry-standard annualized yield rate unit. Date fields follow the ISO 8601 format.
What constraints these characteristics impose on HTTP interfaces and external systems
Differences in update frequencies across insurance types require the interface to support configuring differentiated pull frequencies per insurance type. This avoids excessive requests or data lag. Format differences across multi-channel data sources require the interface to support multiple return formats such as JSON and XML, and configure automatic conversion rules. Fields include non-negative quantized values and date data. This requires the interface to configure strict field validation rules to filter invalid or malformed data. Some data sources require exclusive authentication information. This requires external systems to support switching and managing multiple sets of authentication parameters. Differences in data timeliness requirements require the interface to support adjusting the execution interval of pull tasks on demand.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 300 seconds | Insurance data interfaces typically aggregate multiple data sources, resulting in longer response times. This setting avoids task interruptions due to timeouts |
FETCH_INTERVAL | Configure per insurance type: universal life insurance 1 hour, dividend-type insurance 1 day, annuity insurance 7 days | Match the data source update rhythm of different insurance types, balancing data timeliness and request frequency |
RESPONSE_FORMAT | Automatic recognition and conversion | Compatibility with formats such as JSON and XML returned by different data sources, no manual adjustment of conversion rules required |
AUTH_TYPE | Multi-key rotation configuration | Adapt to authentication requirements of different data sources, including API keys, OAuth2 and other authentication methods |
FIELD_VALIDATION_RULE | Validate field non-emptiness and numerical range | Ensure the accuracy of insurance data fields, avoid invalid data entering the broadcast process |
MAX_RETRY_TIMES | 3 times | Address temporary fluctuations of external interfaces, reasonably retry to improve task success rate |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Issue: A
400 Bad Requesterror is returned when calling thePOST /v1/knowledge_base/contentinterface, with the prompt "unsupported document format". Cause: The structured data of insurance products was not converted to the JSON format required by the interface, and the original CSV file was uploaded directly. - Issue: Frequent
504 Gateway Timeouterrors occur whenAPI_REQUEST_TIMEOUTis set to60 seconds. Cause: The actual response time of the insurance data interface was not matched, and the short timeout cannot complete multi-data source aggregation requests. - Issue: API calls to upload documents fail in a locally built environment, but normal uploads work via the web interface. Cause: The local environment is not configured with correct file upload permissions or interface whitelists, causing the external system to be unable to access the FastGPT upload interface.
How to verify a successful configuration
- Initiate a manual pull task, check whether the returned insurance data fields include all required items defined in the configuration, and verify that the field format matches the configured validation rules.
- View the interface logs to confirm that authentication parameters are correctly carried, and no
401 Unauthorizedor403 Forbiddenerrors occur. - Compare the update time of the data source with the execution time of the pull task, confirm that the pull frequency matches the update rhythm of the corresponding insurance type.
- Call the test interface to verify that the returned structured data can be normally parsed and used for yield rate broadcast.
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.