What the data for this category looks like
The data for this category primarily comes from creator backends, enterprise credit information query platforms, account history databases, and contract systems. Daily circulating documents include onboarding application forms, scanned identity qualification documents, audit verification records, and cooperation agreement texts. Data updates are triggered alongside the application process. Each individual application corresponds to one data update. Daily maintenance data is synchronized daily. Data fields include applicant account identifiers, credential file hashes, audit status codes, protocol effective timestamps, and more. There is no unified fixed batch aggregation format. Most data uses individual applications as the smallest data unit.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
Data for this category is dispersed across multiple sources and uses individual applications as the smallest processing unit. This requires HTTP interfaces to support single requests bound to a unique application identifier, to avoid redundant overhead from batch requests. Data updates are triggered alongside the application process, with no fixed polling cycle. Interfaces do not need scheduled pull logic, and only need to respond to on-demand invocation requests. Format differences across multiple data sources require interfaces to support passing custom field mapping rules via variables, to adapt to the field structures of different data sources. Requirements for verifying audit records and qualification materials require the responseData returned by the interface to include traceable verification node information, for subsequent fault retrospectives. This page is written based on FastGPT v4.17.0.
How to configure settings
| Configuration Item | Recommended Value | Rationale for This Setting |
|---|---|---|
Authorization | Bearer {Platform-specific API key} | Uniformly controls access permissions across multiple data sources, prevents unauthorized calls |
variables | {"applyId": "Unique application identifier", "credentialCategory": "Credential type"} | Adapts field mapping for different application scenarios, compatible with format differences across multiple data sources |
responseData | Structured object containing applyId, checkStatus, errorDetail | Facilitates quick localization of specific applications and verification links corresponding to faults |
| Timeout threshold | 600 seconds | Meets response requirements for time-consuming processes such as qualification verification and cross-system queries |
| Cross-origin whitelist | List of trusted business domain names | Avoids browser cross-origin blocking during external calls, ensures interface availability |
Three common configuration mistakes
- Invoking the
api/v1/chat/completionsinterface triggers cross-origin blocking. The console displaysNo 'Access-Control-Allow-Origin' header is present on the requested resource. This occurs when the interface's cross-origin whitelist is not configured, or the whitelist does not include the caller's business domain name. - When creating a plain text collection related to onboarding and verification via the knowledge base interface, an
invalid trainingTypeerror is returned. This occurs when the optional values oftrainingTypeexclusive to this category are not clearly defined, and parameter configurations from other scenarios are misused. - The
responseDatareturned by the interface only includes basic status codes, and does not include specific verification node information for qualification checks. This occurs when the required verification fields to return are not specified in the configuration, leading to missing key retrospective information.
How to confirm configuration is correct
- Call the interface with a correct
Authorizationheader. Verify that the returned status code is200 OKto confirm that the authentication configuration is effective. - Pass a custom
variablesparameter. Check that the returnedresponseDatafrom the interface includes mapped field values, to confirm that the parameter configuration is effective. - Initiate a simulated application request. Wait for the interface response, then verify that the returned verification nodes match the actual business process, to confirm that the business logic configuration is correct.
- Initiate a call from an untrusted domain. Confirm that the interface returns a cross-origin related error, to confirm that the cross-origin whitelist configuration is effective.
The values provided here are common starting points, and should be evaluated against sample data from the relevant deployment environment.
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.