What data for this category looks like
Data for apparel and home textile financing daily reports is sourced from public disclosures by industry associations, financing announcements from public and private enterprises, and transaction financing information from supply chain upstream and downstream partners. New financing updates are released each business day, with no updates on non-business days.
Each data entry includes these fields: full enterprise name, affiliated subcategory (for example, women's wear, home textile fabric), financing type, financing amount, financing round, investor entity, disclosure date, and affiliated supply chain partners. The standard unit for financing amount is ten thousand yuan RMB. Disclosure dates follow the YYYY-MM-DD format, and the financing round field must match general venture capital classification standards.
Constraints on HTTP interfaces and external system integration
The multi-source data origins, business-day update schedule, and segmented field requirements for this financing daily report impose clear constraints on HTTP interface and external system integration.
Multi-source data must use a unified format, so interfaces must support incremental pulling and field filtering to avoid including financing information from non-target categories. The business-day update schedule requires that external system scheduled synchronization tasks use business-day trigger logic, to prevent invalid requests on non-business days.
Segmented fields such as financing round and supply chain partners must be included as query parameters to support data filtering for specific business scenarios. The standardized amount unit requirement also mandates that all interface return data use ten thousand yuan RMB as the unit, to reduce conversion work for external systems.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 600 seconds | Financing daily report data requires integrating industry association disclosures, enterprise announcements, and supply chain-related information. A single full data pull takes a long time, and 600 seconds covers the full pull process |
INCREMENTAL_SYNC_CRON | 0 9 * * 1-5 | Financing daily reports are only released on business days. Triggering synchronization at 9:00 on business days matches the data update schedule and avoids invalid requests |
QUERY_FILTER_FIELDS | Enterprise Type, Financing Round, Affiliated Track | Financing data for the apparel and home textile category must be filtered by affiliated track to exclude financing information from other textile and apparel subcategories or unrelated industries |
DATA_UNIT_STANDARD | Uniformly formatted as ten thousand yuan RMB | Amount labeling varies across different data sources. Unifying the unit simplifies data analysis and display logic for external systems |
RETRY_MAX_TIMES | 3 retries | Multi-source data pulling may encounter network fluctuations or interface rate limiting. 3 retries improve pull success rate without affecting timeliness |
MAX_RECORDS_PER_PAGE | 500 records | Pulling too much data in a single request increases interface load and transmission time. 500 records balances pull efficiency and system stability |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- A
400 Bad Requesterror is returned when calling the interface, caused by empty or incorrectly formatted amount fields. This occurs when theDATA_UNIT_STANDARDparameter is not configured, and amount units from different data sources are mixed, resulting in the external system being unable to parse the standard format. - A
413 Payload Too Largeerror is returned after a scheduled synchronization task triggers, with an unexpected number of pulled records. This happens when a reasonableMAX_RECORDS_PER_PAGEparameter is not set, and the number of records pulled in a single request exceeds the interface's carrying limit, causing the request to be blocked. - The chat window embedded in the business system cannot obtain financing daily report query permissions, returning a
403 Forbiddenerror. This is due to not configuring user identity mapping rules, and not binding the business system's user identity with FastGPT's access permissions, resulting in the inability to call the interface normally.
How to verify correct configuration
- Initiate a single HTTP interface request, check that returned data fields match the configured
QUERY_FILTER_FIELDS, and that amount fields use the ten thousand yuan RMB format. - View scheduled synchronization task logs, confirm that tasks only trigger on business days, and that single-request pulled records do not exceed the configured
MAX_RECORDS_PER_PAGEvalue. - Simulate a business system user initiating an interface call, confirm that financing daily report data with matching permissions is filtered based on the business system's user identity.
- Simulate a network fluctuation scenario, confirm that the interface successfully pulls data after retrying
RETRY_MAX_TIMEStimes, with no persistent errors.
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.