Retrieve Sales Performance
Returns sales performance data for the authenticated merchant based on the specified date range.
The endpoint supports various input formats:
- Specific date: YYYY-MM-DD (e.g., "2024-01-15")
- Date range: YYYY-MM-DD..YYYY-MM-DD (e.g., "2024-01-01..2024-01-31")
The response includes aggregated metrics such as total sales, transaction count, and average transaction value. Only successful payments are included in the calculations.
Timezone Handling: The service uses the merchant's configured timezone for all date boundaries and grouping. This ensures that payments are grouped according to the merchant's local date/time. For example, a payment at 2025-10-09 22:51:28 UTC would appear in 2025-10-10 data for a merchant in timezone "Asia/Bangkok" (GMT+7).
Granularity Logic
The response granularity is automatically determined based on the date range: - 0 days (single date): Hourly breakdown - 1-83 days: Daily breakdown - 84-167 days: Weekly breakdown - 168+ days: Monthly breakdown
This affects how the transactions array is structured and the granularity field in the response.
period
string
Required. The date or date range for which to retrieve sales performance data.
Supported formats:
- Specific date: YYYY-MM-DD (e.g., "2024-01-15") - Returns hourly breakdown
- Date range: YYYY-MM-DD..YYYY-MM-DD (e.g., "2024-01-01..2024-01-31") - Returns daily/weekly/monthly breakdown based on range size
Examples:
- "2024-01-15" - Single day, hourly breakdown
- "2024-01-01..2024-01-07" - 7 days, daily breakdown
- "2024-01-01..2024-03-31" - 90 days, weekly breakdown
- "2024-01-01..2024-12-31" - 365 days, monthly breakdown
| Attribute | Description |
|---|---|
start_datestring
|
The start date of the performance period in ISO 8601 format (YYYY-MM-DD). This represents the beginning of the date range for which performance data is calculated. For single day requests, this will be the same as end_date. |
end_datestring
|
The end date of the performance period in ISO 8601 format (YYYY-MM-DD). This represents the end of the date range for which performance data is calculated. For single day requests, this will be the same as start_date. |
amountnumber
|
The total amount of all captured transactions in the period, expressed in the smallest currency unit. E.g. 100 THB is represented as 10000. And 100 JPY is represented as 100. |
countnumber
|
The total number of captured transactions in the period. |
averagenumber
|
The average captured transaction amount in the smallest currency unit. |
changenumber
|
The percentage change in total amount compared to the previous equivalent period. Values: - Positive: Indicates an increase in compared to the previous period - Negative: Indicates a decrease in compared to the previous period - Null: When there are no transactions in the previous period (division by zero) Example: A value of 15.5 means increased by 15.5% compared to the previous period. |
granularitystring
|
The time granularity used for transaction breakdown in the response. Granularity is determined by the date range: - hourly: Single day requests (0 days) - daily: 1-83 days range - weekly: 84-167 days range - monthly: 168+ days range This affects how the transactions array is grouped and formatted. |
transactionsarray
|
Array of transaction breakdowns grouped by the specified granularity. Each transaction object contains:
- Period start formats: - hourly: "HH:00:00" (e.g., "14:00:00") - daily: "YYYY-MM-DD" ISO 8601 format (e.g., "2024-01-15") - weekly: "YYYY-MM-DD" (week start date) - monthly: "YYYY-MM-DD" (month start date) Note: Array may be empty if no transactions exist for the specified date range. |
INVALID_DATE_FORMAT
This error occurs when the date_input parameter is not in a supported format. Please use one of the supported formats: YYYY-MM-DD, YYYY-MM-DD..YYYY-MM-DD, or keywords.
INVALID_DATE_RANGE
This error occurs when the end date is before the start date in a date range. Please ensure the end date is after or equal to the start date.
UNHANDLED_ERROR
This error occurs when the server encounters an unexpected internal error that it cannot handle gracefully. This typically happens due to bugs, infrastructure issues, or edge cases that weren't anticipated during development.
INVALID_ARGUMENTS
This error occurs when the request contains invalid or missing parameters. Common cases include missing required fields, or values that don't match the expected format or type.
BAD_VERSION
This error occurs when making requests to an API version that does not exist. This commonly happens when using an outdated SDK or when the API version specified in the request URL is incorrect.
