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Data Catalog Coverage — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Data Catalog Coverage — Exact Row Deduplication + 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).
Deduplicates rows and fills missing values in data catalog coverage records (documented_fields, total_fields) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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
Returns 2 independent analytical reports on the supplied data catalog coverage records, one per report type: (1) exact row deduplication results showing removed duplicate rows and the cleaned dataset, and (2) explicit missing-value fill results where null documented_fields or total_fields values are replaced using the chosen method (zero, mean, or median). Results are computed locally with no external lookups.
Example use cases
Cleaning monthly data catalog audit
“I have 150 rows of data catalog coverage records for November 2026 with some missing total_fields values — can you deduplicate them and fill the nulls using mean, and give me both reports?”
Zero-filling missing documented fields
“My dataset coverage table has duplicate entries and some documented_fields are null — please deduplicate all 80 rows and fill the missing documented_fields with zero, then return both analytical reports.”
Pre-pipeline data quality check
“Before I load this catalog coverage data into our pipeline, can you run exact row deduplication and fill any missing total_fields using median on these 60 rows across my dataset groups, and show me the two output reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data catalog coverage rows with potential duplicates or missing values in documented_fields or total_fields, and need both deduplication and imputation in a single low-cost call ($0.01 USDC). Ideal for lightweight, local data cleaning without requiring external lookups, predictions, or professional assessment. Best suited for structured catalog metadata records with clear row identifiers, dataset groups, and date fields.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric fields outside allowed range — validation error
- Invalid enum value for field or method parameters — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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