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Transaction Fee Observations — Record Quality Audit + Base-100 Series
x402
Transaction Fee Observations — Record Quality Audit + Base-100 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).
Runs two local analytical reports on supplied transaction fee observation rows: a record quality audit and a base-100 index series, for up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Record quality audit + Base-100 series: Record quality audit + Base-100 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
Two analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed entries across the supplied rows; and (2) a base-100 index series for the selected numeric field (fee_units or transaction_count), normalized relative to the specified base row. Results cover up to 200 input rows and are computed entirely from supplied data using local analytical engines.
Example use cases
Fee data quality check before reporting
“I have 50 rows of daily transaction fee observations with fee_units and transaction_count — can you audit them for record quality issues like nulls, out-of-range values, or duplicates, and also build a base-100 index series using fee_units starting from row 0?”
Normalize transaction count into index series
“Take my 120 transaction fee observation records and produce a base-100 indexed series on the transaction_count field using row 5 as the base, and also give me a record quality report for the whole dataset.”
Instrument group fee comparison baseline
“I've got fee observations across two instrument groups over the last quarter — run a quality audit on all the rows and create a base-100 series on fee_units anchored to the first row so I can compare relative fee movement across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observations (with fee_units and transaction_count) and need both a data quality audit and a normalized base-100 index series in a single low-cost call ($0.01 USDC). It operates entirely on supplied data with no external lookups, making it suitable for offline or privacy-sensitive workflows. Prefer it over general-purpose analytics tools when you want a focused, paired output — quality audit plus indexed series — specifically for fee-structured financial observation data.
Side effects
- Input array empty or exceeds 200 rows — validation error
- base_index value out of range for the supplied rows — index error
- Required row fields (row_id, date, instrument_group) missing — schema validation failure
- date field not matching YYYY-MM-DD pattern — format rejection
- fee_units or transaction_count outside allowed numeric range — boundary error
- Payment not completed or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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