HTTP Interfaces and External Systems for Insurance Marketing Content

Insurance marketing content primarily originates from internal product script libraries approved by insurance company compliance teams, scenario-based

What the Data for This Category Looks Like

Insurance marketing content primarily originates from internal product script libraries approved by insurance company compliance teams, scenario-based marketing material packages, and product adjustment notices published by regulatory authorities. Updates are triggered by product launches, compliance revisions, or marketing campaign adjustments, with no fixed schedule. Content is stored in structured format, including product ID, marketing scenario tags, compliance review document numbers, applicable customer group fields. Core script text fields are measured in characters. Some content includes an insurance underwriting rule summary field.

Constraints for HTTP Interfaces and External Systems Workflows

Insurance marketing content includes compliance review document numbers and sensitive customer group tags. Interfaces must support carrying compliance verification parameters to complete pre-checks, preventing unauthorized content from being released. No fixed update cycle requires interfaces to support on-demand pulling, rather than using fixed caching, to reduce use of expired materials. The large number of structured fields requires interfaces to provide field filtering capabilities to accurately return required content. Some content includes an insurance underwriting rule summary, so interfaces must support associative queries for product detail data to ensure consistency between marketing content and product information. Additionally, insurance content has high compliance requirements, so interfaces must support HTTPS encrypted transmission to prevent sensitive data leaks.

Configuration Settings

Configuration ItemRecommended ValueRationale
timeout30-60 secondsInsurance marketing content interfaces need to pull compliance verification data, which takes longer than general-purpose interfaces
max_retries2-3 timesAddress network fluctuations or temporary jitter in compliance verification interfaces, reducing request failure rates
request_headersInclude X-Compliance-Token: [dedicated verification key]Insurance marketing content requires compliance verification. Carrying a dedicated verification header completes pre-verification
cache_ttl3600 secondsInsurance product updates have no fixed schedule. Cache duration should not be too long to avoid using expired materials
field_filterOnly return product_id, scene_tag, speech_textStreamline returned fields to improve interface transmission and parsing efficiency
compliance_check_switchEnabledInsurance marketing content must meet regulatory requirements. Pre-verification can block calls with unauthorized content

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. Testing on applicable samples is recommended before finalizing settings.

Three Common Configuration Mistakes

  • External interface calls return 429 status codes, or the debug panel prompts that request frequency exceeds the limit. No reasonable QPS limit is configured. Insurance marketing content interfaces may have compliance verification frequency limits.
  • Writing fetch or promise syntax in an HTTP node results in empty return values or execution errors. FastGPT’s built-in request callback logic is used by default. Asynchronous results must be processed according to built-in rules.
  • Backend interfaces deployed on cloud service providers cannot be accessed. The interface prompts connection timeout or domain name resolution failure. Outbound ports of the cloud service provider’s security group are not open, or the third-party domain name used has not completed compliance filing. FastGPT HTTP requests must comply with domain name access specifications.

How to Confirm Proper Configuration

  • Initiate a test request in the FastGPT debug panel, check that returned fields match the configured field_filter rules.
  • View interface call logs, confirm that the X-Compliance-Token parameter is correctly carried and passed verification.
  • Initiate multiple consecutive requests, check whether QPS limit error messages are triggered, confirm that the retry logic is working.
  • Modify the cache_ttl parameter, wait for the corresponding duration, then initiate another request, check whether the returned content is updated.

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.