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Data Catalog Coverage — String Normalisation + Explicit Missing-Value Fill
x402
Data Catalog Coverage — String Normalisation + 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 2026-10-23).
Normalises strings and fills missing values in data catalog coverage records (documented_fields, total_fields) for up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied data catalog coverage records (documented_fields, total_fields). 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 per call: one covering string normalisation results and one covering explicit missing-value fill results for up to 200 supplied data catalog coverage rows (documented_fields or total_fields), all computed locally with no external lookups.
Example use cases
Imputing missing field counts for governance audit
“I have a data catalog coverage table with some null documented_fields entries — can you fill those missing values using the mean and also normalise the string columns? Here are my rows: row-1 group-a 2026-10-01 documented_fields=null total_fields=50, row-2 group-b 2026-10-02 documented_fields=30 total_fields=60.”
Standardising dataset group labels before reporting
“Before I generate our quarterly catalog coverage report, can you normalise the string formatting in my dataset_group names and fill any missing total_fields values with zero? I'll send you 10 rows covering October.”
Cleaning coverage data for a data quality dashboard
“I need to prep my data catalog coverage records for our quality dashboard — please normalise strings and fill null documented_fields using median for these 5 rows: row-1 through row-5, dates 2026-10-01 to 2026-10-05, groups alpha and beta.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation and missing-value imputation specifically for data catalog coverage records (documented_fields/total_fields) in batches up to 200 rows, and you want two bundled reports for a flat $0.01 USDC fee without any external API calls or live data lookups.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, dataset_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid fill method value outside enum (zero/mean/median) — error
- Invalid field value outside allowed enum (documented_fields/total_fields) — error
- Numeric values outside allowed range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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