What Data for This Category Looks Like
Data sources for comprehensive service yield rate and daily market report include official exchange market data APIs and standardized data interfaces from licensed financial data service providers. Updates run in batch after each trading day closes, generating full daily data. A single update cycle takes approximately 4 hours.
The document uses a hierarchical structured format. Data is first grouped by asset category. Each group contains standardized fields for individual products. Fields include: product code, full product name, benchmark yield, daily fluctuation value, statistical cycle, and release time.
Benchmark yield is measured in basis points. Trading volume uses shares as the unit. Transaction amount uses yuan as the unit.
Constraints for Workflow Orchestration
Multiple data sources require initial field alignment. Differing field names returned by different APIs will cause parsing errors if unaddressed.
Fixed update cycles require the workflow to trigger on a scheduled basis per trading day. Real-time triggering logic cannot be used.
Hierarchical structured data results in large per-batch processing volumes. Parsing batches must be split to avoid timeouts.
Minor differences in data formats exist across asset categories. Separate parsing rules must be configured for each group, which increases orchestration complexity.
Large daily full report data volumes require careful allocation of workflow node execution order. This avoids single-node processing timeouts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_trigger_cron | 0 18 * * 1-5 | Daily report data is completed before 18:00 following each trading day close; scheduled triggering ensures access to the latest complete data |
data_parse_batch_size | 50 items/batch | Moderate per-batch data volume balances parsing efficiency and node timeout risk |
global_variable_scope | Workflow-level | Daily report data is only used for the current workflow run; variables must be accessible across all downstream nodes |
mcp_tool_invoke_params | Pass global variables via context | Parsed daily report metadata or authentication token must be passed to downstream MCP tools |
workflow_timeout | 1200 seconds | Covers the full processing duration of multi-batch parsing and multi-tool invocation |
llm_auto_tool_call | Enabled | Automatic triggering of data validation or anomaly alert tools based on daily report data snippets is required |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Phenomenon: Workflow execution returns empty fields, or parsed daily report data has mismatched product names and codes. Cause: No field mapping rules for multi-source data are configured, so differences in field names across data sources are not aligned.
- Phenomenon: Global variables defined in the workflow cannot be read by downstream MCP tool nodes, and an error
variable_not_foundis returned on invocation. Cause: The storage scope of global variables was not set to workflow-level, only retained in session-level temporary storage. - Phenomenon: Authentication parameters carried during MCP tool invocation are empty, and the interface returns
401 Unauthorized. Cause: The token stored in the global variable was not passed to the tool node via themcp_tool_invoke_paramsconfiguration, resulting in authentication failure.
How to Confirm Proper Configuration
- Trigger a scheduled workflow run. Check the batch processing records of the data parsing node in the workflow log. Confirm that the number of processed items per batch matches the configured
data_parse_batch_sizevalue. - Check the global variable list. Confirm that the daily report metadata has been correctly stored, and the storage scope is set to workflow-level.
- Invoke the downstream MCP tool node. Check the tool return results. Confirm that the carried authentication parameters match the token stored in the global variables.
- Trigger a non-scheduled test invocation. Confirm that the large language model can automatically trigger the configured tool nodes based on the input daily report snippets.
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.