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Transaction Fee Observations — Record Quality Audit + Explicit Missing-Value Fill
x402
Transaction Fee Observations — Record Quality Audit + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Audits data quality and fills missing values (via zero, mean, or median) for transaction fee observation records containing fee_units and transaction_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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 record quality audit identifying issues such as nulls, anomalies, and completeness problems across the supplied rows; and (2) an explicit missing-value fill report showing imputed values for the specified field (fee_units or transaction_count) using the chosen method (zero, mean, or median). Covers up to 200 rows per call.
Example use cases
Pre-analysis fee data cleanup
“I have 120 rows of transaction fee data with some missing fee_units values — can you run a quality audit on them and fill the gaps using the median so I can trust the dataset before I start my analysis?”
Zero-fill missing transaction counts
“My transaction_count column has some nulls in my fee observations dataset — please audit the records for quality issues and fill those missing transaction_count values with zero. Here are my rows with instrument_group, date, fee_units, and transaction_count.”
Mean imputation for fee data pipeline
“Before I pass my transaction fee records into the pipeline, I need a quality audit and want any missing fee_units filled using the mean — I've got about 80 rows to check.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observation data (with fee_units and transaction_count fields) and need both a structured quality audit and deterministic missing-value imputation in a single call. It is specifically designed for financial fee datasets organized by instrument_group and date. Prefer it over generic data cleaning tools when you need both audit and imputation reports together at low cost, without sending data to a live prediction or external enrichment service.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, instrument_group, date) in one or more rows
- Invalid date format not matching YYYY-MM-DD pattern
- Invalid field enum value (must be 'fee_units' or 'transaction_count')
- Invalid method enum value (must be 'zero', 'mean', or 'median')
- Empty rows array submitted
- Payment failure or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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