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Record Routing Analytics — Trailing Mean Series + Keyed Dataset Comparison
x402
Record Routing Analytics — Trailing Mean Series + Keyed Dataset Comparison 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 keyed dataset comparison for record routing data (accepted_records, rejected_records) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 independent analytical reports: (1) a trailing mean series showing rolling averages of the selected field (accepted_records or rejected_records) over the provided date-ordered rows, and (2) a keyed dataset comparison report showing differences between the primary and secondary datasets broken down by dataset_group and date. Both reports are computed locally with no external lookups.
Example use cases
ETL pipeline rejection trend analysis
“I have daily record routing logs for the past month with accepted and rejected record counts across two processing groups. Can you compute a trailing mean series on the accepted_records field so I can see if our acceptance rate is improving or degrading over time?”
A/B dataset routing comparison
“I'm running two variants of our data ingestion pipeline and have both datasets with accepted_records and rejected_records per day per group. Can you do a keyed comparison of the two datasets on rejected_records so I can see which pipeline variant has fewer rejections?”
Weekly data quality report for routing system
“Every Monday I need a summary of our record routing metrics — I have rows with date, group, accepted_records, and rejected_records. Can you give me a trailing mean series plus a comparison against last week's data on the accepted_records field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a side-by-side dataset comparison for record routing metrics (accepted vs rejected counts) in a single API call for under $0.01. It is ideal for ETL pipeline monitoring, data quality tracking, and A/B comparisons of ingestion pipelines where you already have the data locally and need fast, offline statistical summaries — not live data fetching or predictive modeling.
Side effects
- Missing required fields (row_id, date, dataset_group, accepted_records, rejected_records) cause validation errors
- More than 200 rows submitted — only up to 200 rows accepted
- Invalid date format (must match YYYY-MM-DD pattern) triggers schema rejection
- Null values in the selected field may affect trailing mean computation
- Empty rows array returns an error
- Mismatched row_id keys between primary and comparison datasets may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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