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Record Routing Analytics — Numeric Distribution + Trailing Mean Series
x402
Record Routing Analytics — Numeric Distribution + 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 2026-10-23).
Computes numeric distribution statistics and a trailing mean time series for accepted_records and rejected_records fields across up to 200 record routing rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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 for the specified field: (1) a numeric distribution breakdown (e.g. min, max, mean, percentiles, histogram-like statistics) and (2) a trailing mean time series computed over the user-specified window size, both derived locally from the supplied rows without any external lookup or prediction.
Example use cases
ETL pipeline acceptance rate review
“I have daily record routing logs for the past 3 months with accepted and rejected counts per dataset group — can you compute the numeric distribution and a trailing mean series with a window of 14 for accepted_records so I can spot trends in our ingestion pipeline?”
Data quality monitoring for rejected records
“Run a distribution and rolling mean analysis on our rejected_records field across 120 rows of record routing data, using a trailing window of 5, so I can see where rejection spikes are happening across our dataset groups.”
Comparing two dataset groups statistically
“I've got record routing rows split between two dataset groups over the last 200 days — can you give me the numeric distribution and trailing mean for accepted_records with a window of 10 so I can compare how each group is performing?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected counts and need both a statistical distribution profile and a smoothed trailing mean time series in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained analytics on ETL or data pipeline metrics without needing an external data warehouse or live system.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in accepted_records or rejected_records may affect distribution calculation
- Window size larger than number of rows may produce truncated or empty trailing mean series
- Missing required fields (row_id, date, dataset_group) cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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