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Join Coverage Analytics: Numeric Interval Filter + Trailing Mean Series
x402
Join Coverage Analytics: Numeric Interval Filter + 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).
Runs two analytical reports on join coverage data (matched_rows, source_rows): filters records by a numeric interval and computes a trailing mean time series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric interval filter + Trailing mean series: Numeric interval filter + 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) rows from the input dataset whose selected field (matched_rows or source_rows) falls within the specified numeric interval [minimum, maximum], and (2) a trailing mean time series for the selected field computed over the specified window size, both derived from the supplied join coverage records.
Example use cases
Monitoring join completeness over time
“I have 30 days of join coverage records for two dataset groups. Can you filter matched_rows between 10 and 500 and show me a trailing mean with a window of 7 so I can see the rolling trend in join completeness?”
Spotting anomalies in source row counts
“Run an interval filter on source_rows between 0 and 200 and compute a 5-period trailing mean for my pipeline's join coverage data — I want to catch any periods where row counts fell out of range.”
Comparing join coverage across dataset groups
“I've got join coverage data for group-a and group-b across 60 dates. Filter matched_rows between 20 and 300 and give me a trailing mean series with window size 4 so I can compare coverage trends between the two groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected join coverage data (matched_rows, source_rows) and need two specific local analytical transformations — numeric interval filtering and trailing mean computation — without any external data lookup, prediction, or ML model. Ideal for data quality pipelines auditing join completeness metrics in batches of up to 200 rows at minimal cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside [2, 200] — validation error
- Minimum or maximum outside allowed numeric range — validation error
- Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- Payment not provided or insufficient USDC — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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