What the Data for This Category Looks Like
Sources of commercial property yield rate data primarily include daily revenue and cost ledgers from the property’s own operation management system, plus vacancy rate data from commercial district rental data interfaces. Data updates follow two cadences: Full operational and yield calculation data for the previous calendar day is synced each early morning. Real-time occupancy rate data is synced every 30 minutes. Data documents use standard JSON array format. Each element corresponds to daily data for a single commercial property project, and includes fields such as project identifier, report date, occupancy rate value, daily revenue, operating cost, net income, and more. Area and revenue fields use units of square meters and yuan. Yield-related fields use proportional values.
What Constraints Do These Characteristics Impose on HTTP Interfaces and External Systems
Multiple data sources and dual update cadences for commercial property data require HTTP interfaces to support two invocation modes: bulk full pull and incremental real-time pull. This matches requirements for daily fixed reports and real-time occupancy rate syncs. Data includes large-value area and revenue fields, so interfaces must support large payload transfers to avoid data truncation. Individual requests must support filtering by project ID and report date. This lets external systems pull specified ranges of data as needed. Property operation data has high sensitivity, so interface calls must support dual authentication mechanisms to ensure secure data transmission. Report dates are limited to generated historical dates. Requests for unsynced future dates cannot be processed.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
api_request_timeout | 600 seconds | Commercial property data includes multi-field large payloads, and some external data sources have high response latency. 600 seconds covers most synchronization scenarios |
max_batch_records | First 100 records | Commercial property project counts typically range from dozens to hundreds. Pulling 100 records per request balances interface load and synchronization efficiency |
auth_method | API key + IP whitelist | Property operation data has high sensitivity. Dual authentication ensures secure interface invocation |
allowed_fields | Determined via actual testing | Filter non-essential fields to reduce transmission volume. Only retain core fields such as report_date, project_id, daily_rental_rate, daily_net_profit |
sync_mode | Daily full pull + 30-minute incremental pull | Matches requirements for daily fixed updates and real-time occupancy rate syncs for commercial properties |
request_sign_type | HMAC-SHA256 | Complies with authentication specifications of most external property systems, and ensures request legitimacy |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by data format, data volume, and business rules. Specific scenarios require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: API call returns results that do not match in-platform test results, and some knowledge base content is not retrieved. Cause:
enable_knowledge_baseis not set totruein the API request body, or the specified knowledge base ID is not bound. - Phenomenon: API call returns a 403 Forbidden status code, with a prompt indicating no access permissions. Cause: The calling server IP is not added to the interface whitelist, or the configured API key is invalid.
- Phenomenon: The
daily_net_profitfield is empty in pulled commercial property data. Cause:allowed_fieldsin the interface configuration does not include this field, or external data sources have not synced this type of cost data.
How to Confirm Proper Configuration
- Invoke the test interface to obtain a single commercial property data record. Check that the returned fields include the configured core fields, and that the data format matches the predefined documentation structure.
- Send a bulk pull request. Verify that the number of returned records matches the configured per-request limit, and that no abnormal data truncation occurs.
- Compare the return results of in-platform test conversations and API calls. Confirm that knowledge base content is correctly included in the reference scope.
- Send a pull request for a specified historical date. Verify that only synced date data is returned, and that requests for unsynced future dates cannot be processed.
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.