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Record Routing Analytics — Trailing Mean Series & Secondary-Measure Weighted Mean
x402
Record Routing Analytics — Trailing Mean Series & Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a trailing mean time series and a secondary-measure weighted mean for accepted/rejected 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 + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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 specified primary field over the given rolling window, and (2) a secondary-measure weighted mean that weights one metric by the other — both computed locally from the supplied rows (up to 200). No external lookups or predictions are made.
Example use cases
Data pipeline quality trend analysis
“I want to analyze my data pipeline's acceptance and rejection trends — here are 50 daily rows with accepted_records and rejected_records per dataset group. Can you compute a trailing mean series with a window of 7 and a secondary-measure weighted mean on accepted_records?”
Record routing anomaly review
“I've got a week of record routing data across three groups and I want to see the rolling average of rejected_records with a window of 3, plus a weighted mean using accepted_records as the secondary measure. Can you run both reports on my 21 rows?”
Monthly ingestion reporting for dataset groups
“Can you generate a trailing mean series and secondary-measure weighted mean for my monthly record routing stats? I have 30 rows labeled by date and dataset group, and I want the analysis focused on accepted_records using a rolling window of 5.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, deterministic statistical summaries — specifically a trailing/rolling mean series and a secondary-measure weighted mean — on record routing data with accepted and rejected counts, and want both reports in a single low-cost call ($0.01 USDC). Ideal for data quality monitoring, pipeline auditing, or batch reporting on up to 200 rows without requiring live external data or predictions.
Side effects
- Fewer than 1 row supplied — minimum of 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Window size larger than the number of supplied rows — trailing mean may be undefined or partial
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, accepted_records, rejected_records) cause validation errors
- Null values in accepted_records or rejected_records may affect weighted mean calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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