What the data for this category looks like
Data sources for e-commerce service intelligent due diligence reports include official APIs from e-commerce open platforms, third-party compliant e-commerce data interfaces, and transaction and compliance reports submitted independently by merchants. There are three update schedules:
- Transaction fulfillment data is synchronized hourly.
- User reviews and real-time transaction data are updated at minute-level intervals.
- Merchant qualification and compliance data is synchronized daily.
The document structure is divided into four modules: basic qualifications, transaction fulfillment, user feedback, and compliance risks. Included fields are:
shop_id: Unique identifier for merchant stores, string typetrade_volume_7d: Total transaction amount in the past 7 days, unit: Chinese Yuanlogistics_on_time_rate: On-time fulfillment rate, value range 0 to 1complaint_count: Number of valid complaints in the past 30 days, integer typerisk_keyword_count: Number of mentions of violation keywords, integer type
What constraints do these characteristics impose on HTTP interfaces and external systems?
The multi-dimensional data sources and differentiated update rhythms of e-commerce service due diligence data impose clear constraints on HTTP interface and external system integration. Differences in multiple fields and units require interface requests to carry standardized field mapping parameters to avoid data parsing deviations. Minute-level updated real-time data requires configuration of short-interval polling or long connection support to avoid data lag. Sensitive attributes of qualification data require interface integration to configure signature verification and IP whitelists to ensure data transmission security. Differences in pull durations for different data types require interfaces to separately configure timeout thresholds for different data modules to adapt to the pull requirements of each data type.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 300–600 seconds | Adapts to the average processing duration of qualification data pulls, avoids request interruptions due to timeouts |
API_SIGNATURE_ENABLE | Enabled | Matches the signature verification rules of e-commerce open platforms, ensures the security and legality of data transmission |
WHITELIST_IPS | Enter the official IP segments of e-commerce open platforms | Restricts legitimate sources of interface calls, prevents unauthorized access |
FIELD_MAPPING_RULE | Map trade_volume_7d to "total transaction amount in the past 7 days" and logistics_on_time_rate to "on-time fulfillment rate" | Unifies field naming for data from different sources, reduces costs for system parsing and display |
CACHE_TTL | 3600 seconds for transaction data, 60 seconds for review data | Matches the update rhythms of different data types, balances real-time performance and interface call load |
RETRY_TIMES | 2–3 times | Addresses occasional temporary fluctuations in e-commerce interfaces, reduces the probability of single request failure |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- A call to an external e-commerce interface returns
504 Gateway Timeout. The cause is failing to adjust theAPI_REQUEST_TIMEOUTconfiguration based on the data update rhythm, with the timeout threshold set too short. - An "Authentication failed" prompt appears when synchronizing the knowledge base collection. The cause is failing to configure the signature parameter corresponding to
API_SIGNATURE_ENABLE, or the whitelist does not include the IP address of the FastGPT deployment node. - Transaction data fields returned by the interface are empty. The cause is failing to correctly set
FIELD_MAPPING_RULE, resulting in a mismatch between the original fields returned by the interface and the system's preset fields.
How to confirm the configuration is complete
- Initiate a test request, check whether the returned fields match the mapping relationship configured in
FIELD_MAPPING_RULE, and confirm that data parsing is normal. - View the interface call logs, confirm that the request source IP is within the range of
WHITELIST_IPS, and that no errors are reported during the signature verification link. - Trigger pull requests for qualification, transaction, and review data separately, check whether
API_REQUEST_TIMEOUTadapts to the pull duration of each data type, and no timeout errors occur. - Simulate a scenario of temporary interface fluctuations, confirm that the retry logic configured for
RETRY_TIMESis triggered normally, and the request eventually succeeds.
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.