What Data for This Category Looks Like
Iron ore market and yield data is sourced primarily from public exchange iron ore futures market APIs and third-party bulk commodity information platform spot quote APIs. Two update frequencies apply: futures market data pushes every 10 seconds, spot quotes update after daily market close. Data is provided in standard JSON format. Each data entry includes fields such as contract identifier, quote time, base quote, and yield change value. The unit for base quote is yuan per wet metric ton. Yield change values use percentage points as their measurement baseline. All fields follow standard naming conventions for bulk commodity market data.
Constraints for HTTP Interfaces and External System Integration
The dual data sources, time-separated updates, and specialized field characteristics of iron ore data create multiple constraints for HTTP interface and external system integration. First, configure two separate HTTP interfaces to connect to futures and spot data sources respectively, to avoid data mixing. The high-frequency updates of futures market data require setting reasonable polling intervals for HTTP requests. Include the instrument_id parameter in request filters to retrieve data for specific contracts. The specialized units for base quote and yield change value require external systems to configure unified unit conversion rules during integration, to prevent measurement deviations. Additionally, the differing update rhythms of the two data types require configuring differentiated trigger rules in workflows to match their respective update frequencies.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
http_request_timeout | 5-10 seconds | Iron ore futures data has strong timeliness. Excessively long timeouts cause data to expire, and this setting accommodates high-frequency pull requirements |
http_retry_times | 2 times | Bulk commodity market APIs occasionally experience network fluctuations. A small number of retries improves data acquisition success rates |
schedule_cron | */10 * * * * (futures data source), 0 16 * * * (spot data source) | Matches the respective update frequencies of the two data sources to ensure accurate data acquisition timing |
response_parse_mode | JSON mode | Iron ore market and yield data is returned in standard JSON format. Enabling this mode enables accurate extraction of target fields |
request_content_type | application/json | Most bulk commodity market APIs require JSON-formatted request headers, which aligns with interface parameter transfer specifications |
workflow_api_version | v4.9.8 and above | Resolves a known issue of API call freezes in version v4.9.7, ensuring stable system operation |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: System freezes when calling the HTTP interface for iron ore futures data, with the interface returning a
504 Gateway Timeouterror. Cause: Using system version v4.9.7 without configuring reasonable timeout parameters, leading to a backlog of unresponsive requests waiting for long periods. - Symptom: Extracted iron ore yield fields in workflows are empty or do not match actual market conditions. Cause: No
instrument_idfilter parameter added to HTTP request parameters, leading to parsing errors caused by the interface returning data for multiple contracts. - Symptom: Configured Playwright MCP service fails to function normally, returning a
400 Bad Requesterror, while other similar MCP services work correctly. Cause: Local network address for the MCP service was not configured properly, preventing the system from accessing the target service.
How to Verify Successful Configuration
- Call the completed HTTP interface, review the returned data field names, and confirm that fields exclusive to iron ore market data are present, such as contract identifier, quote time, and yield change value.
- Review workflow run logs to confirm that scheduled request trigger frequencies match the update rhythms of the two data sources.
- Call the published workflow API, verify that no abnormal error messages are returned, and that data content aligns with actual iron ore market characteristics.
- Check the system version to confirm that the installed version does not have the known API call freeze issue.
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.