What the data for this category looks like
Auto parts-related yield and market data serves as a core reference for financial institutions conducting auto industry chain wealth management and supply chain finance businesses. Data sources include public datasets from domestic auto parts industry associations, structured reported data from supply chain collaboration platforms, and spot quote data from associated commodity exchanges. Update frequencies vary: Supplier guide price data updates daily, monthly shipment data updates monthly, and industry reference data updates every 10 days. Data documents mostly use JSON or CSV structured formats, with fields including SKU code, raw material cost baseline, supplier guide price, monthly shipment volume, and year-over-year shipment comparison items. Price units are yuan per piece, and shipment volume units are pieces.
What constraints these characteristics impose on tool calling and plugin workflows
Mixed calls to multi-source data require plugins to connect to industry association APIs, commodity exchange interfaces, and supply chain collaboration platforms separately. Differentiated authentication parameters and request headers must be configured to meet data security and compliance requirements of financial institutions. Differences in data update frequencies require separate configuration of tool calling trigger timings: Supplier guide price data can be called in real time as needed, while shipment data may only be triggered on monthly cycles to avoid unnecessary resource consumption. Format requirements for parts SKU codes and shipment volume fields require adding pre-check logic in plugins to filter invalid values and request parameters that do not meet coding rules, preventing invalid calls. Cross-data source field mapping must also support custom configuration to adapt to field differences reported by different suppliers.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_auth_type | api_key | Connected auto parts industry data sources and commodity exchange interfaces both support static API key authentication |
plugin_request_timeout | 30 seconds | Normal response duration for auto parts quote interfaces falls between 10-25 seconds, 30 seconds covers all valid requests |
field_mapping_rule | Map core fields by SKU code | The unique identifier for auto parts data is the SKU code, so field mapping logic across different data sources must be unified |
plugin_cache_duration | 86400 seconds | Supplier guide price data updates daily, caching for 1 day reduces repeated API call volume |
request_pre_check_enable | enabled | Shipment volume must be verified as non-negative, and SKU codes must conform to industry formats, to filter invalid requests |
max_retry_times | 2 | Retrying 2 times after a single plugin call failure covers request failures caused by temporary network fluctuations |
The parameter values provided on this page are general recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: A 401 Unauthorized error is returned when calling the tool, prompting that an application key must be used instead of an account key. Cause: The
app_keyparameter was not filled in the plugin configuration, and a personal account login key or other non-application-level key was entered incorrectly. - Symptom: The shipment volume field returned by the tool call is empty, and the corresponding report cannot be generated. Cause: The
field_mapping_rulewas not configured, and the original fields returned by the data source were not mapped to the system-recognized shipment volume field, resulting in failed data extraction. - Symptom: Tool calls frequently fail, returning a 429 Too Many Requests error. Cause: The
plugin_cache_durationparameter was not set, and third-party data source interfaces were called at high frequency, triggering the interface's call frequency limit.
How to confirm correct configuration
- The plugin configuration page is accessed to verify that
plugin_auth_typematches the authentication method of the connected data source, and confirm that theapp_keyparameter has been filled with the correct application-level key. - A single tool call test is initiated to check if the returned result fields include target fields such as SKU code and supplier guide price, and confirm that
field_mapping_ruleis active. - Tool call logs are reviewed to confirm that the request timeout configuration matches the preset value, and there are no frequent frequency limit errors.
- A call triggered according to the corresponding data update cycle is simulated to confirm that the plugin can normally pull target data, and there are no pre-check interception prompts.
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.