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Join Coverage — String Normalisation + Trailing Mean Series
x402
Join Coverage — String Normalisation + 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 2026-10-19).
Runs two analytical reports (string normalisation and trailing mean series) on user-supplied join coverage data (matched_rows, source_rows) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — String normalisation + Trailing mean series: String normalisation + 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 for the supplied rows: (1) a string normalisation report covering text fields such as row_id and dataset_group, and (2) a trailing mean series computed over the chosen numeric field (matched_rows or source_rows) using the specified rolling window. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Monitor join quality trends over time
“I have daily join coverage data for two dataset groups over the past week — can you normalize the string fields and compute a trailing mean with window 2 on the matched_rows column so I can see the trend?”
Audit ETL pipeline match rates
“Run both the string normalisation and trailing mean series reports on these 50 rows of ETL join results, using source_rows as the field and a window of 5, so I can audit our pipeline's match rates.”
Compare coverage across dataset groups
“I want to compare join coverage across my dataset groups — please normalise the string columns and compute a trailing 3-period mean on matched_rows for my 100 records dated between 2026-09-01 and 2026-09-30.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a trailing mean time series computed together on join coverage data (matched_rows/source_rows) in a single $0.01 call. Prefer it over single-report endpoints when you want both analytical outputs simultaneously without separate requests. It is purely local — no external enrichment, prediction, or live data lookup — making it suitable for offline or sandboxed data pipelines.
Side effects
- Fewer than 1 row or more than 200 rows supplied — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- window value outside range 2–200 — validation error
- Null or missing required fields (row_id, dataset_group, date) — error
- Numeric values outside ±1,000,000,000,000 — schema rejection
- Payment failure or insufficient USDC balance — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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