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Data Catalog Coverage — Duplicate Key Report + Trailing Mean Series
x402
Data Catalog Coverage — Duplicate Key Report + Trailing Mean Series 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 two local analytical reports on supplied data catalog coverage rows: a duplicate key report and a trailing mean series, for up to 200 rows of documented_fields or total_fields data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series 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) a duplicate key report identifying rows with repeated key combinations across the supplied catalog coverage records, and (2) a trailing mean series showing rolling averages of the selected field (documented_fields or total_fields) over the specified window size. Both reports are computed locally with no external data lookups.
Example use cases
Spotting duplicate catalog entries
“I have a list of data catalog coverage records across several dataset groups and I want to know if there are any duplicate row IDs or key collisions — can you run a duplicate key report on these 50 rows?”
Rolling average for documentation completeness
“Take these 80 catalog coverage entries with documented_fields values by date and dataset group, and generate a trailing mean series with a window of 5 so I can see how documentation completeness is trending over time.”
Auditing total fields across dataset groups
“I need to audit field coverage across our data catalog — run both a duplicate key check and a trailing mean series on these 120 rows using total_fields as the metric and a window of 3.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-061?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data catalog coverage records and need both duplicate key detection and trailing moving average computation in a single call, without requiring any external data sources, live lookups, or predictions. It is ideal for data governance workflows where you want to validate catalog record uniqueness and measure documentation completeness trends simultaneously at low cost.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) causes schema rejection
- Window size outside range 2–200 returns error
- Field selector not one of 'documented_fields' or 'total_fields' causes enum validation failure
- Null numeric values may affect trailing mean computation if predominant
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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