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Join Coverage Analytics: Category Frequencies + Trailing Mean Series
x402
Join Coverage Analytics: Category Frequencies + 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 2026-10-15).
Computes category frequency distributions and trailing mean time series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series for supplied join coverage records (matched_rows, source_rows). 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 analytical reports: (1) category frequency counts for each dataset_group in the supplied records, and (2) a trailing mean time series for the selected field (matched_rows or source_rows) computed over the specified rolling window. Results are derived entirely from the supplied data with no external lookups.
Example use cases
ETL pipeline join quality audit
“I need to audit my ETL pipeline's join coverage — here are 120 rows with daily matched_rows and source_rows across three dataset groups. Can you give me the category frequencies by group and the trailing mean for matched_rows with a window of 5?”
Match rate trend monitoring
“I have a time series of join results across two dataset groups over the past quarter — about 90 rows. Can you compute the trailing mean for source_rows with a window of 10 and show me the category frequency breakdown?”
Data integration quality report
“We're comparing two data sources and I have 60 rows of matched_rows and source_rows by date and dataset group. Can you run the category frequencies plus a trailing mean series for matched_rows using a window of 3 so I can see how join quality changes over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need dual analytical output — both a categorical frequency breakdown and a rolling mean time series — for join coverage metrics in a single $0.01 call. Ideal for data engineers auditing ETL join quality across dataset groups over time, especially when you want both distribution and trend information without calling two separate services.
Side effects
- Fewer than 1 or more than 200 rows supplied — rejected by schema validation
- Window size larger than the number of rows yields insufficient data for trailing mean
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Missing required fields (row_id, date, matched_rows, source_rows, dataset_group) causes validation error
- Null values in matched_rows or source_rows may reduce trailing mean coverage
- Payment failure via x402 protocol returns 402 before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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