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Transaction Fee Observations — Duplicate Key Report + Keyed Dataset Comparison
x402
Transaction Fee Observations — Duplicate Key Report + Keyed Dataset Comparison 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 up to 200 transaction fee observation rows to produce a duplicate key report and a keyed comparison between two supplied datasets, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison 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 reports: (1) a duplicate key report identifying rows with repeated keys (e.g. same row_id, instrument_group, or date combinations) within the supplied dataset, and (2) a keyed dataset comparison showing matched, unmatched, and differing records between the primary ('rows') and secondary ('other') datasets, based on shared keys across fee_units and transaction_count fields.
Example use cases
Daily fee data reconciliation between systems
“I've got two exports of today's transaction fee observations from our clearing system and our ledger — both have row_id, instrument_group, date, fee_units, and transaction_count. Can you check for duplicate keys in each and show me where the two datasets differ when matched by key?”
Audit fee records before month-end close
“Before we close the books for October, I need to audit our transaction fee observation records. Here are up to 200 rows with fee_units and transaction_count — please run a duplicate key report and compare this dataset against last month's version to flag any key-level discrepancies.”
Validate merged fee dataset after ETL pipeline run
“We just ran an ETL pipeline that merged two sources of transaction fee data. Can you take the merged rows and the original source rows — both with instrument_group, date, fee_units, and transaction_count — and produce a duplicate key report plus a keyed comparison so I can see if anything was duplicated or altered?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transaction fee observation data (fee_units, transaction_count) organized by instrument group and date, and you need both a duplicate key audit and a side-by-side keyed comparison between two versions of that dataset — all in a single $0.01 USDC call covering up to 200 rows without any external data access or live lookups.
Side effects
- Input array exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems: 1 not met) causes error
- Payment not processed — x402 payment failure blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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