HTTP Interfaces and External Systems for Paint and Ink Financing Daily Reports

Data for the paint and ink financing daily report comes from public industrial and commercial disclosures, corporate financing filing data from

What This Dataset Looks Like

Data for the paint and ink financing daily report comes from public industrial and commercial disclosures, corporate financing filing data from industry associations, and official financing announcements from relevant enterprises. Full data updates for the previous day are completed every early morning.

Each individual data entry includes 7 fields: full enterprise name, unified social credit code, financing type (equity financing, debt financing, supply chain financing), financing amount, disclosure date, paint and ink sub-category, and disclosure media. The financing amount unit is ten thousand RMB. The unified social credit code is an 18-digit fixed-format string.

Constraints Imposed on HTTP Interfaces and External System Integrations

The characteristics of this dataset impose the following constraints on HTTP interfaces and external system integrations:

  • The daily full update requirement means HTTP interfaces must support batch pull mode, and adapt to transmission bandwidth for batches of over 100,000 entries to avoid single-request timeouts.
  • The 18-digit fixed format of the unified social credit code requires the interface’s parameter validation logic to include matching format checks to block invalid requests.
  • The financing amount field uses ten thousand RMB as the unit, so external systems must implement consistent unit conversion logic during integration to avoid display discrepancies.
  • The enumerated sub-category feature requires interface return parameters to match preset paint and ink sub-category enumeration values, and also support query parameters for filtering by category.
  • The disclosure date filtering requirement means the interface must provide time range query capabilities accurate to the day, to support external system reconciliation and data synchronization needs.

Configuration Settings

Configuration ItemRecommended SettingRationale
API_REQUEST_TIMEOUT600 secondsAdapts to the time required for single-batch bulk data pulls, avoiding timeout interruptions due to large data volumes
API_BATCH_MAX_SIZE10000 entriesMatches the daily updated data volume of the paint and ink financing daily report, balancing transmission efficiency and request stability
PARSE_API_FIELD_VALIDATEEnable 18-digit unified social credit code validationAdapts to the fixed format requirement of the unified social credit code in the dataset, blocking invalid requests
EXTERNAL_DATA_UNIT_CONVERTEnable automatic ten thousand RMB to RMB conversion switchAdapts to the financing amount field’s unit of ten thousand RMB, avoiding display discrepancies in external systems
SYNC_JOB_CRON0 3 * * *Matches the data source update schedule of early morning daily updates, ensuring the interface pulls the latest previous day’s financing data
API_AUTH_TOKENGenerate exclusive tokens based on business scenariosDifferentiates access permissions for different external systems, ensuring secure data calls

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 Mistakes

  • Phenomenon: The IPROXY_API_ENDPOINT or AIPROXY_API_TOKEN is not set error is returned when calling the financing daily report interface. Cause: The proxy interface endpoint address and authentication token were not filled in the system configuration, making it impossible to establish a connection with the data source.
  • Phenomenon: A large number of slow query operations appear in the MongoDB database, and the interface response times out and cannot be accessed normally. Cause: The API_BATCH_MAX_SIZE parameter was not set reasonably, and the data volume pulled in a single request exceeded the database’s carrying limit, triggering slow queries.
  • Phenomenon: Duplicate historical record entries appear in the external system after synchronizing financing daily report data via the API. Cause: The configuration item that automatically appends context history during interface calls was not disabled, causing each synchronization operation to add a redundant historical record.

How to Confirm Proper Configuration

  • Call the interface with a test parameter for a unified social credit code that matches the 18-digit format, and confirm the interface returns the corresponding validation result or matching data.
  • Check the system operation monitoring panel, and confirm that the average response time of API requests is within a reasonable range, with no continuous timeouts or error records.
  • Pull a single batch of test data, and verify that the financing amount unit conversion logic matches the preset rules, with no amount discrepancies.
  • Check the execution logs of the scheduled synchronization task, and confirm that the daily full synchronization operation can be completed normally with no data omissions.

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.