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Transaction Fee Observations — Category Frequencies + Daily Sum Series
x402
Transaction Fee Observations — Category Frequencies + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Analyzes supplied transaction fee observation records to produce two reports: category frequency distribution and daily sum time series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Category frequencies + Daily sum series: Category frequencies + Daily sum series for supplied transaction fee observations records (fee_units, transaction_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a category frequency table showing how often each instrument_group value appears in the supplied rows, and (2) a daily sum time series aggregating the selected numeric field (fee_units or transaction_count) by date. Both reports are computed locally from the supplied data, with no external lookups.
Example use cases
Fee distribution by instrument group
“I have 50 rows of transaction fee observations with instrument groups like 'equities' and 'derivatives', dates from 2025-01-01 to 2025-02-19, and fee_units values. Can you give me the category frequency breakdown and a daily sum series for fee_units?”
Daily transaction count trends
“Analyze these 120 transaction fee records for me — I want to see how transaction_count totals up each day and how often each instrument_group appears. Dates run from 2024-06-01 to 2024-09-30.”
Cross-group fee audit
“Run category frequencies and a daily sum series on my 80 fee observation rows. The instrument groups are 'FX', 'Rates', and 'Commodities', and I want the reports based on the fee_units field covering Q1 2025.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-102?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observation data and need both a categorical frequency breakdown by instrument group and a daily sum time series for a numeric field in a single low-cost call. It is ideal for quick batch analytics on already-collected fee data without needing live market data, external APIs, or prediction services.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause parse failures
- Null values in the selected numeric field (fee_units or transaction_count) may produce incomplete sums
- Payment of 0.01 USDC not settled correctly results in authorization failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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