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Record Routing Analytics: Trailing Mean Series + Date-by-Category Pivot
x402
Record Routing Analytics: Trailing Mean Series + Date-by-Category Pivot 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 a trailing mean time series and a date-by-category pivot table for accepted_records and rejected_records fields in supplied record routing data (up to 200 rows, two reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied record routing records (accepted_records, rejected_records). 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) a trailing mean time series for the chosen field (accepted_records or rejected_records) computed over the specified rolling window across the supplied rows, and (2) a pivot table breaking down values by date and dataset_group category. Results are based entirely on the supplied data with no external lookups.
Example use cases
Monitor pipeline acceptance trend
“I have daily record routing stats for the last 30 days across two dataset groups. Can you compute a trailing mean series with a window of 7 for accepted_records and also pivot those records by date and group so I can see which groups are underperforming?”
Spot rejection spikes by category
“Run a trailing mean series (window of 5) on rejected_records for my routing dataset and give me a date-by-category pivot — I want to see if any specific dataset_group has a spike in rejections this month.”
Weekly data quality summary report
“Take these 50 rows of record routing data with accepted_records and rejected_records fields and produce a rolling mean series (window of 4) plus a date-by-category pivot so I can include both in my weekly data quality report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected record counts grouped by date and category, and you need both a rolling/trailing mean time series and a date-by-category pivot in a single cheap call ($0.01 USDC). It is a self-contained analytical engine with no external dependencies, making it ideal for lightweight, reproducible batch analytics on pipeline or data quality metrics without setting up your own compute.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — results truncated or rejected
- Invalid date format (must be YYYY-MM-DD)
- Window size less than 2 or greater than 200 — validation error
- Null or missing required fields (row_id, date, dataset_group) cause row-level errors
- Field enum value not one of 'accepted_records' or 'rejected_records' — rejected
- Payment of 0.01 USDC not completed — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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