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Data Catalog Coverage — Exact Row Deduplication + Numeric Distribution
x402
Data Catalog Coverage — Exact Row Deduplication + Numeric Distribution 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).
Runs exact row deduplication and numeric distribution analysis on data catalog coverage records (documented_fields, total_fields) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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 two independent analytical reports: (1) an exact row deduplication report identifying identical rows across the supplied data catalog coverage records, and (2) a numeric distribution report for the selected field (documented_fields or total_fields), including statistical summaries such as min, max, mean, and frequency breakdown — all computed locally without external lookups.
Example use cases
Catalog field coverage deduplication audit
“I've got 120 rows of data catalog coverage records with documented_fields and total_fields — can you run exact row deduplication on them and flag any duplicates? Each row has a row_id, dataset_group, and a date in YYYY-MM-DD format.”
Numeric distribution of undocumented fields
“Run a numeric distribution report on the total_fields column from my catalog coverage dataset — I want to see how the values spread across my 80 rows, with row_id, dataset_group, date, documented_fields, and total_fields all included.”
Multi-group catalog documentation quality check
“I track documentation coverage across several dataset groups and want to both deduplicate the records and see the distribution of documented_fields values. Can you process my 150 catalog coverage rows and give me both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-039?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate detection and numeric distribution profiling on data catalog coverage records in a single paid call. It is ideal for data governance workflows where you want to audit field documentation completeness across dataset groups without requiring external services, ML predictions, or live database lookups. Best suited for batch analytical jobs on up to 200 rows of structured catalog metadata.
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Null numeric values in documented_fields or total_fields may affect distribution statistics
- Empty rows array rejected by minItems:1 constraint
- field enum value outside ['documented_fields','total_fields'] causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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