What this category’s data looks like
Beneficial owner data comes from three sources: industrial and commercial public disclosure systems, annual enterprise reports, and special equity verification reports. Updates trigger in real time when corporate equity changes, with no fixed cycle. Most documents are structured tables or PDF scans. Fields include full entity name, penetration level, individual entity shareholding ratio, actual controller affiliation, and ID document number. Shareholding ratio uses percentage units, and penetration level uses integer levels. Field order may differ across data sources.
What constraints do these characteristics impose on workflow orchestration
The multi-source mixed origin, dynamic update properties, hierarchical field structure, and standardized unit requirements of beneficial owner data impose multiple constraints on workflow orchestration. Multi-source data requires the workflow to integrate both structured API pulling and unstructured document parsing nodes to adapt to different data source formats. Dynamic updates require the workflow to not set a fixed cache period, and call the latest data source every time it runs. Hierarchical penetration fields require configuring nested loop nodes to process each level of affiliated entity step by step. Standardized unit requirements add a pre-validation node to verify the percentage format of shareholding ratios and the integer format of penetration levels.
How to set the configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
workflow_cache_ttl | 0 seconds | Beneficial owner data requires real-time updates; caching will cause verification results to lag |
parse_document_max_level | 3–5 levels | Beneficial owner penetration verification usually covers 3 to 5 levels of affiliated entities |
http_request_timeout | 60 seconds | Industrial and commercial data interface responses typically fall within the 30-50 second range; this setting provides sufficient buffer |
field_validation_enabled | Enabled | Format compliance of shareholding ratios and penetration levels must be verified |
loop_node_max_iterations | 20 times | The number of entities for multi-layer penetration usually does not exceed 20 |
api_request_retry_count | 2 times | Industrial and commercial interfaces may experience temporary fluctuations; retries can reduce failure rates |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- The workflow returns a
408 Request Timeouterror. The cause is failing to sethttp_request_timeoutto a value greater than 50 seconds, which interrupts the industrial and commercial data interface before it completes its response. - The loop node only processes 2 levels of penetration entities, and deep affiliated entities are omitted from the results. The cause is mistakenly setting
loop_node_max_iterationsto 2, which does not match the 3-5 level penetration requirement for beneficial owners. - Some fields are empty after workflow execution. The cause is not enabling the
field_validation_enabledconfiguration, and failing to filter shareholding ratio data with incorrect formats, which causes invalid fields to be passed to subsequent nodes.
How to confirm the configuration is correct
- Run a test workflow once, and check if there are prompts related to skipping cache in the execution logs.
- Manually input test data with multi-layer penetration, and check if the loop node completes processing all entities according to the set number of iterations.
- Submit shareholding ratio data with incorrect formats, and confirm if field validation interception is triggered.
- Simulate a test scenario of temporary fluctuations in industrial and commercial interfaces, and confirm that the workflow automatically triggers the retry mechanism.
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.