What the data for this category looks like
Coatings and inks market and yield data is sourced from public statistical data of domestic bulk commodity spot trading platforms and coatings and inks industry associations. Data is updated at a fixed daily time point, covering all current category market data. This includes quoted prices for core raw materials such as resins, solvents, and additives of different grades, as well as finished ink and coating products. Data documents use structured formats. Fields include product grade, origin, daily average price, 7-day average price range, compliance rating, batch number, and compliance rating level. Units are yuan per kilogram. Some data also includes quantitative references to daily market supply and demand surplus.
What constraints these characteristics impose on HTTP interfaces and external systems
Because market data updates at a fixed daily time point, external system integration requires configuring scheduled trigger logic aligned with the data source's synchronization schedule. This prevents pulling outdated, unupdated data and avoids delayed broadcast content. The data includes multi-dimensional structured fields, such as non-numeric compliance ratings and origin identifiers. Interfaces must support parameters that specify returned fields to reduce invalid transmission load. The data covers multiple categories of raw materials and finished products. Interfaces must provide query parameters filtered by product grade and supply region to meet the calling needs of different business scenarios. Some data includes supply and demand reference values. Interfaces must support paginated return configurations to avoid exceeding the processing limits of external systems with a single return data volume.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
api_request_timeout | 300 seconds | Coatings and inks market data source interfaces typically have certain response delays. 300 seconds covers the complete data pull process |
request_interval | 86400 seconds | The data source updates only once per day. This interval avoids frequent calls that trigger interface rate limiting |
response_field_filter | Product Brand, Origin, Daily Average Price, 7-Day Average Price Range | Only retain core fields required for yield reporting, reducing invalid load during data transmission |
pagination_size | 20 entries | Adapts to the bulk data processing capabilities of most external systems, avoiding excessive data load from a single load |
api_auth_type | API_KEY | Most bulk commodity data sources use API key authentication, which complies with the security integration specifications of most external systems |
unit_conversion_switch | Enabled | Coatings and inks data uses yuan per kilogram as the unit. Conversion to display units common in broadcast scenarios matches the display requirements of external systems |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Calling the
/api/v1/chat/completionsinterface returns a403 Forbiddenstatus code. This occurs when the interface's source whitelist is not configured, and the API key is exposed by direct front-end calls, triggering security intercepts. - Pulled market data has some empty fields. This happens when the corresponding fields are not configured in
response_field_filter, and the interface returns a simplified result after default filtering. - Scheduled pull tasks frequently trigger timeout interrupts. This occurs when the set
api_request_timeoutis shorter than the actual response time of the data source interface, causing the request to be forcibly terminated before completion.
How to confirm proper configuration
- Manually trigger an HTTP interface call, and verify that the returned fields match the content configured in
response_field_filter. - Check the scheduled task execution logs to confirm that the call timing matches the daily update time of the data source.
- Test filter parameters for different product grades to confirm that returned results only include matching category data.
- Simulate a maximum single return data volume, and verify that the external system can properly process the complete returned data 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.