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Transaction Fee Observations — Duplicate Key Report + Base-100 Series
x402
Transaction Fee Observations — Duplicate Key Report + 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 2026-10-23).
Analyzes supplied transaction fee observation records to produce a duplicate key report and a base-100 indexed series for a chosen numeric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Duplicate key report + Base-100 series: Duplicate key report + 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
Returns two independent analytical reports for the supplied rows: (1) a duplicate key report identifying any repeated row_id values across the dataset, and (2) a base-100 indexed series for the specified numeric field (fee_units or transaction_count), anchored at the row position given by base_index. Covers up to 200 rows per call.
Example use cases
Audit fee records for duplicate keys
“I have a list of daily transaction fee observations across two instrument groups and I want to know if any row IDs are duplicated — can you run a duplicate key report on these rows for me?”
Normalize fee units to base-100 index
“Take my transaction fee data for the past week — fee_units values across group-a and group-b — and produce a base-100 indexed series for fee_units starting from the very first row (index 0).”
Validate and index transaction counts
“Run both a duplicate key check and a base-100 series on my transaction_count field for these instrument group records — I need to know if there are any repeated row IDs and how counts index relative to my first data point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transaction fee observation records and need both a duplicate key audit and a base-100 normalization in a single low-cost call. It is ideal for data quality checks on fee datasets before downstream analysis, or when you want to compare relative trends in fee_units or transaction_count across instrument groups indexed to a common baseline. Prefer this over general-purpose analytics tools when your data fits the fee_units/transaction_count schema and you want a fast, offline computation with no external lookups.
Side effects
- Fewer than 1 row or more than 200 rows supplied — validation error
- Invalid date format (not YYYY-MM-DD) in any row — schema rejection
- base_index out of range (0–199) relative to actual row count — index error
- Null values in the selected numeric field may affect base-100 series calculation
- Duplicate row_ids present — reported in output, not a call failure
- Invalid field enum value (not fee_units or transaction_count) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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