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Transaction Fee Observations — Record Quality Audit + Keyed Dataset Comparison
x402
Transaction Fee Observations — Record Quality Audit + 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).
Runs a record quality audit and keyed dataset comparison on up to 200 rows of transaction fee observations (fee_units, transaction_count) and returns two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Record quality audit + Keyed dataset comparison: Record quality audit + 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
Two independent analytical reports: (1) a record quality audit covering issues such as nulls, out-of-range values, and malformed entries across the supplied fee rows; (2) a keyed dataset comparison report identifying differences between the primary and secondary datasets matched by row_id, including value-level discrepancies in fee_units and transaction_count. No external lookups or predictions are made; analysis is performed locally on the supplied data only.
Example use cases
Pre-load fee data quality check
“Before I import this batch of 120 transaction fee records into our data warehouse, can you audit them for quality issues? Each row has a row_id, date, instrument_group, fee_units, and transaction_count — flag anything that looks wrong or missing.”
Reconcile two fee datasets from different sources
“I have two versions of our October transaction fee data — one from our internal system and one from the clearing house — both keyed by row_id with fee_units and transaction_count. Can you compare them and tell me which rows differ and by how much?”
Instrument group fee integrity review
“Our compliance team needs a quality audit of this month's fee_units and transaction_count records broken down by instrument_group. I have about 80 rows with dates and row IDs — can you check the record quality and give me a detailed report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a side-by-side keyed comparison of two transaction fee observation datasets in a single call for a flat fee of $0.01 USDC. It is best suited for offline/batch validation of up to 200 rows of fee_units and transaction_count data — no live market data, external enrichment, or predictive analytics are involved. Prefer alternatives if you need real-time fee lookups, predictions, or datasets larger than 200 rows.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- row_id missing or exceeding 80 characters — validation error
- date field not matching YYYY-MM-DD pattern — schema rejection
- fee_units or transaction_count outside ±1,000,000,000,000 range — validation error
- Mismatched row_ids between primary and secondary datasets may reduce comparison coverage
- Payment of 0.01 USDC not completed — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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