What the Data for This Category Looks Like
Data for game revenue yield and market trends comes from in-game trading system APIs and cross-server market synchronization nodes. There are two update schedules:
- Real-time market data for individual servers refreshes every 30 seconds
- Daily report data aggregated across all servers is generated in bulk each early morning.
The standard structure for each data entry includes: game unique identifier, item code, trading time window, transaction unit price, base unit price, revenue change value, and affiliated zone identifier. For field units: transaction unit price uses in-game universal tokens as its unit. Revenue change value uses multiples of the base unit price as its unit. All user identifiers are anonymized.
Constraints for Conversation Logging and Auditing
The high-frequency refresh of real-time market data requires conversation logs to accurately capture transaction timestamps. Without this, audits cannot match user queries to their corresponding market data points. The presence of zone identifiers requires audit logs to be filtered by zone. This prevents cross-zone data mixing that would cause audit inaccuracies. The unique unit for revenue change values requires audit fields to strictly match the unit definitions used in in-game data. Without this, revenue calculation accuracy cannot be verified. Anonymized user identifiers require audit trails to link session IDs to anonymous identifiers. This ensures traceability without exposing user privacy. The bulk generation of daily report data requires logs to record the trigger node for report generation. This simplifies tracing the source and update chain of daily report data.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 30–90 days | Meets the minimum retention period required for game industry audit compliance, covering monthly reconciliation and compliance check needs |
AUDIT_INCLUDE_FIELDS | ["gameId", "itemCode", "tradeTime", "changeValue", "zoneId"] | Matches the standard fields of game market data, ensuring full association between conversations and transaction data during audits |
MAX_HISTORY_MESSAGES | First 8 conversation messages | Game market queries typically focus on a single item or zone. Limiting context length improves audit retrieval efficiency |
LOG_LEVEL | info | Captures the full flow of conversation requests, data returns, and audit operations, while avoiding redundant logs that consume storage |
AUDIT_FILTER_RULE | Validate grouped by zoneId | Game market data is stored per zone. Filtering by zone prevents cross-zone data mixing and simplifies audit troubleshooting |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: The
userQueryfield in conversation logs is empty, making it impossible to trace the full question-and-answer chain using the session ID. Cause: TheuserQueryparameter is not included inAUDIT_INCLUDE_FIELDS, or the conversation log collection switch is not enabled. - Issue: Logs show data upload as successful, but the market data button in the audit interface cannot be interacted with. Cause:
AUDIT_FILTER_RULEis not configured per game zone, leading to cross-zone data bulk loading that exceeds the interface rendering threshold. - Issue: Revenue calculation accuracy cannot be verified during audits. Cause: The
changeValuefield is not included in audit logs, or the field unit configuration does not match the unit used in in-game data.
How to Confirm Proper Configuration
- Generate a test conversation that includes game item, transaction time, and zone information. Check that all fields configured in
AUDIT_INCLUDE_FIELDSappear in the logs. - Access the audit interface, select a specified game zone, and confirm that conversation and market data for that zone can be filtered out.
- View the platform log management backend to confirm that the log retention period matches the preset
LOG_RETENTION_DAYSconfiguration. - Trigger a simulated market query conversation, and confirm that logs with a
LOG_LEVELofinfofully record the request, data return, and audit marker.
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.