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Transaction Fee Observations — String Normalisation + Adjacent Row Changes
x402
Transaction Fee Observations — String Normalisation + Adjacent Row Changes 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).
Applies string normalisation and adjacent row change analysis to up to 200 transaction fee observation records, returning two local analytical reports on fee_units or transaction_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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: one covering string normalisation of the instrument_group and related text fields, and one covering adjacent (row-to-row) change values for the selected numeric field (fee_units or transaction_count), applied to up to 200 supplied input rows. No external data or predictions are included.
Example use cases
Detect fee drift across trading sessions
“I have 50 rows of daily transaction fee observations for different instrument groups — can you normalise the fee_units strings and show me the adjacent row changes so I can see how fees shifted from one day to the next?”
Audit sequential transaction count changes
“Run string normalisation and adjacent row difference analysis on my transaction count data — I've got about 120 rows with dates, row IDs, instrument groups, and transaction_count values, and I want the report focused on transaction_count.”
Compare consecutive fee observations for reconciliation
“I need to reconcile my fee records — can you take these 30 transaction fee observation rows and give me the string-normalised view plus the adjacent changes in fee_units between each consecutive row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transaction fee observation records and need both string normalisation and adjacent row change analysis in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical reporting on supplied data rather than live lookups or predictive analytics. Prefer it when you need two complementary reports (normalisation + delta) on the same dataset without calling separate endpoints.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, instrument_group, fee_units, transaction_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers a schema validation error
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (not fee_units or transaction_count) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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