What the data for this category looks like
Commercial real estate yield daily report data is mainly sourced from commercial operation management systems, local real estate transaction filing platforms, and owned property financial systems. The data update rhythm is as follows: full operational data for the previous calendar day is synced daily at midnight, and some temporarily adjusted rental data is synced incrementally every hour. Most data uses the standard JSON array format, where each element includes fields such as project_id, shop_count, daily_rental_income, total_operating_cost, and daily_profit_rate. Rental and cost fields use Chinese Yuan as their unit, while yield fields are unitless ratio values and are not displayed in percentage format directly.
What constraints these characteristics impose on HTTP interfaces and external systems
The multi-source nature of commercial real estate yield data requires HTTP interfaces to support multiple authentication methods to adapt to the security rules of different data sources. The daily update rhythm means scheduled sync tasks must match the daily scheduling cycle to avoid excessive calls triggering interface rate limits. When a single project has a large number of shops, the data returned in a single request may exceed interface limits, so pagination parameters must be configured to split requests. The sensitivity of financial data requires strict TLS certificate verification for interface transmission, and fields must include tenant-level identifiers to avoid cross-project data confusion. Some filing platform interfaces have call frequency limits, so a retry mechanism must be configured to handle temporary rate limiting scenarios.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
request_timeout | 600 seconds | Commercial real estate data interfaces return large datasets and involve multi-dimensional operational data calculations, so sufficient response time must be reserved |
retry_max_times | 3 times | Address temporary rate limiting fluctuations on filing platform interfaces, and avoid data sync interruptions caused by a single failed request |
auth_type | api_key + tenant_id | Commercial real estate data interfaces mostly use tenant-level authentication, which matches the business scenario of multi-project management |
pagination_enable | Enabled | When a single project has a large number of shops, avoid data truncation caused by the single request returning more data than the interface limit |
request_rate_limit | 10 requests per minute | Matches the public call limit requirements of most local real estate filing platforms |
ssl_verify | Enabled | Commercial real estate financial data interfaces require secure transmission; disabling verification carries data leakage risks |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The interface returns
500 do request failed: Post "https://xxx tls: failed to verify certificate; Cause: Thessl_verifyconfiguration is not enabled, or the configured certificate verification parameters do not match the TLS version of the target interface. - Symptom: Yield fields in the interface response are empty or partially missing; Cause: The
pagination_enableconfiguration is not enabled, and the single request returns more data than the interface limit, resulting in automatic truncation of partial data. - Symptom: No data is returned after a scheduled sync task is triggered; Cause: The
request_rate_limitis set to an overly high value, triggering the rate limiting mechanism of the target interface, and the retry logic is not activated after the request is blocked.
How to confirm the configuration is correct
- Call the configured test interface, check that the core fields of the returned data are complete, with no empty values or abnormal formats.
- Check the FastGPT system log module to confirm there are no
request failedtype errors, and that the request frequency matches the configured limit requirements. - Manually trigger a scheduled sync task, verify that the volume of data received by the external system matches the expected number of shops per project, with no truncation or omissions.
- Replace the invalid API key, confirm that the interface returns a
401 Unauthorizederror, proving that the authentication logic is working.
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.