What this type of data looks like
Consumer building materials financing daily report data mainly comes from dealer financing filing data from building materials industry associations across national provinces and cities, loan ledgers from home improvement supply chain financial platforms, and financing matching records from offline building material business districts. Data is updated via a full daily refresh each early morning, covering the prior day’s data. Each daily report document contains one or more financing records. Standardized document structure fields include: full financing entity name, financing entity registration address, corresponding building materials subcategory, financing amount, financing term, annualized financing interest rate, loan institution type, and loan date. Building materials subcategories in fields must be precise to the second level, such as waterproofing membranes, solid wood flooring, etc. Broad classification categories are not allowed.
Constraints Imposed on HTTP Interfaces and External Systems
The requirement for second-level subcategory classification means HTTP interfaces must support filtering by specific building materials categories. Otherwise, returned data will include redundant information from irrelevant categories. The daily full update schedule requires external systems to set interface trigger times to after 3 AM daily, to ensure access to complete, up-to-date data from the previous day. The financing amount field uses ten thousand yuan as the unified unit, so interface returned data requires no additional unit conversion. External systems can directly reuse the field values. Loan date is a required returned field, and interfaces allow date range parameters to accurately filter financing records for target time periods. The multi-data source aggregation feature means HTTP interfaces must support merging data across industry associations and supply chain platforms. External systems do not need to splice data from multiple interfaces on their own.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
AIPROXY_API_ENDPOINT | https://exclusive-building-materials-financing-data-domain/v1/consumer-building-materials/daily-report | Matches the exclusive interface path for consumer building materials financing daily reports, to avoid confusion with interfaces for other categories |
AIPROXY_API_TOKEN | Fixed identity key provided by the data service provider | Used for interface identity verification, to ensure only authorized external systems can call the data |
HTTP_REQUEST_TIMEOUT | 30 seconds | The consumer building materials financing daily report interface returns a moderate volume of data. A 30-second timeout covers the full data return and parsing process |
REQUEST_DATE_OFFSET | -1 day | Adapts to the daily early morning update schedule, to obtain complete financing daily report data from the previous day |
RESPONSE_FIELD_FILTER | Full Financing Subject Name, Financing Amount, Building Materials Subcategory, Loan Date | Only retains fields required for business purposes, reducing data processing workload for external systems |
API_RATE_LIMIT | 1 request per minute | Matches the interface call frequency limit set by the data service provider, to avoid triggering rate limit errors |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data form, data volume, and business rules. Specific issues require individual analysis. Testing on self-provided samples is recommended before finalizing.
Three Common Misconfigurations
- Symptom: The workflow skips the HTTP request node and directly executes the AI chat step. Cause: The execution dependency between the HTTP node and subsequent AI nodes is not set correctly, or the HTTP node is not configured as a pre-execution node for the workflow.
- Symptom: The body parameters of the HTTP request cannot reuse global variables from the workflow. Cause: The body parameter is not switched to variable binding mode, or variables are not correctly mapped to corresponding fields in the request body.
- Symptom: Interface calls return a 401 Unauthorized error. Cause: The
AIPROXY_API_TOKENconfiguration value is incorrect, or the complete interface path forAIPROXY_API_ENDPOINTis not filled in correctly, resulting in failed authentication.
How to Confirm Configuration Is Complete
- Manually trigger the workflow once, check the return logs of the HTTP node, confirm that returned data includes the consumer building materials subcategory field and the unit meets business requirements.
- Check the environment variable configuration page, confirm that the values of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENmatch the information provided by the data service provider. - Adjust the date range parameter of the request, verify that the loan date of returned data matches the request parameters, confirming that the date filtering logic is functional.
- Check the node execution order of the workflow, confirm that the HTTP node is located before the AI chat node, and that dependency relationships between nodes have been correctly set.
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.