What the data for this category looks like
Data for e-commerce service financing daily reports comes from e-commerce platform merchant settlement systems and interfaces of supply chain financial cooperation institutions. It is updated daily at midnight with statistics from the previous full calendar day. Each report is aggregated by merchant, and includes fields such as merchant unique identifier, total daily transaction flow volume, number of financing application submissions, approved loan amount, actual received amount, outstanding principal, and daily financing rate. Amount fields use yuan as the unit, count fields use units, date fields use the YYYY-MM-DD format. Some interfaces return split sub-order financing detail entries.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The daily update cadence of e-commerce service financing daily reports requires a fixed tool calling trigger cycle of once per day. This prevents high-frequency calls from triggering interface rate limits. The merchant-aggregated report structure requires passing the merchant unique identifier as a required parameter when calling the plugin. Without this parameter, statistical data for the corresponding merchant cannot be returned. Split sub-order detail entries require the plugin to support passing pagination parameters to retrieve complete data. Amount field precision requirements mandate that tool calls retain two decimal places when processing returned values. This avoids data distortion. Differences in field naming across cooperating institutions require plugin configuration to support custom field mapping. This adapts to return formats from multiple data sources.
How to Configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_cron | 0 0 2 * * ? | Matches the daily midnight update schedule of e-commerce service financing daily reports, ensuring complete previous day's data is available when calling |
tool_required_params | ["merchant_id", "stat_date"] | Each daily report is aggregated by date and merchant, passing these two parameters allows precise targeting of target data |
tool_api_timeout | 600 seconds | Interface response times may be longer when batch retrieving sub-order details; 600 seconds covers most latency scenarios |
tool_field_mapping | {"trade_amount":"total transaction flow", "fin_rate":"daily rate"} | Adapts to differences in field naming across different supply chain financial institutions, unifying internal calling field formats |
tool_batch_limit | 20 items per request | Balances interface load and data acquisition efficiency, avoids triggering rate limits due to overly large single request data volume |
The parameter values provided on this page are common 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
- Phenomenon: Cannot find the plugin import entry in the interface, with the prompt "path does not exist". Cause: Did not select the corresponding workspace in the FastGPT plugin management page, or the uploaded plugin file format does not meet requirements.
- Phenomenon: The
qparameter passed when calling the tool does not include the specific merchant ID in the user's question, resulting in empty returned data. Cause: Did not extract the merchant identifier in the user's question as a required parameter, and did not configure parameter mapping rules to map user input to the tool'smerchant_idfield. - Phenomenon: Tool call returns status code 429, request is rate-limited. Cause: Did not set a reasonable call frequency, frequently triggering interface rate limits, or did not configure pagination parameters resulting in too large a single request data volume.
How to Confirm the Configuration is Correct
- Manually trigger a tool call, check if the returned fields include the preset mapped fields, and verify whether the data matches the target data source.
- Configure a scheduled task, check whether there are successful call records in the task log, and confirm that the trigger cycle meets expectations.
- Pass incorrect required parameters, check whether the tool returns an error prompt for missing parameters, and confirm that the required parameter verification is effective.
- Adjust the batch acquisition parameters, check whether the number of returned data items matches the configured limit, and confirm that the pagination logic is effective.
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.