What Data for This Category Looks Like
Game revenue and profitability related data mainly comes from payment revenue APIs in game official operation backends, and public APIs from third-party game data aggregation platforms. There are two types of update schedules:
- Daily report data updates T+1 after the end of the statistical cycle
- Real-time transaction profitability data refreshes every 5 minutes
- Event-specific profitability rates update daily alongside the event cycle
Most data documents use structured JSON format, containing fields such as game_id, server_zone, stat_date, total_revenue, total_cost, profit_rate, update_timestamp. The units of total_revenue and total_cost are Chinese Yuan. profit_rate is a dimensionless ratio value. stat_date uses ISO standard time string format.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins?
Data sources are mostly third-party APIs, so signature verification logic must be configured to prevent API calls from being blocked. There are differences in update schedules, so different trigger frequencies must be set based on data type to avoid excessive calls or delayed updates. Data is stored per server zone. Partition parameters must be passed during tool calls to filter target data, otherwise returned results will be redundant. Different game manufacturers use different return field names, so field mapping rules must be configured to ensure accurate data parsing. Game data has strong timeliness, so API call timeout must be controlled within a reasonable range to ensure timely broadcasting.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
request_timeout | 15-30 seconds | Game data API responses are generally fast, excessive timeout will affect broadcasting timeliness |
signature_method | HMAC-SHA256 | Most official game APIs use this signature method to ensure API call security |
polling_interval | 300 seconds (real-time market data) or 86400 seconds (daily reports) | Matches the update schedule of the corresponding data type, avoids exceeding API call frequency limits |
filter_params | ["game_id", "server_zone"] | Game data is stored per server zone, parameters must be specified to filter target business data |
field_mapping | Determined based on actual testing | Different game manufacturers have different return field names, need to match the field definitions of your own business |
response_parse_mode | JSON_PATH | Game data APIs return structured JSON format, this mode can accurately extract target fields |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: After calling a game data API via a custom plugin, the extracted
profit_ratefield is empty. Cause: No correct field mapping rule is configured, and the target field returned by the API is not bound to tool variables. - Phenomenon: The function call module entry cannot be found in the plugin configuration interface. Cause: The "Custom Plugin Advanced Features" switch has not been enabled in system settings; this module is hidden by default.
- Phenomenon: API calls return a
429 Too Many Requestserror. Cause: The polling interval is set too short, exceeding the call frequency limit of the game data API.
How to Confirm Proper Configuration
- Manually trigger the plugin call, view the returned raw response content, confirm that the API can normally obtain game data.
- Check the binding relationship of tool variables, confirm that the extracted field names match business requirements.
- View the running logs of scheduled tasks, confirm that the trigger frequency matches the data update schedule.
- Verify the field parsing results, confirm that the extracted numerical values fall within the reasonable range of the business scenario.
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.