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Data Ingestion Batches — Trailing Mean Series + Two-Measure Correlation
x402
Data Ingestion Batches — Trailing Mean Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes a trailing mean time series and a two-measure correlation report for up to 200 data ingestion batch records, covering received_rows and accepted_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation for supplied data ingestion batches records (received_rows, accepted_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: (1) a trailing mean time series for the specified field (received_rows or accepted_rows) computed over the given window size across the submitted rows, and (2) a correlation report measuring the statistical relationship between received_rows and accepted_rows across the supplied records. Both are derived entirely from the submitted data with no external lookups.
Example use cases
Pipeline acceptance rate trend analysis
“I have 3 months of daily ingestion batch data with received_rows and accepted_rows — can you calculate a trailing mean series for accepted_rows with a window of 14 and also show me how strongly received_rows and accepted_rows are correlated?”
ETL throughput smoothing for reporting
“Here are 60 rows of batch ingestion records by date — please compute a rolling mean of received_rows with a window of 5 so I can see a smoothed trend, and run a two-measure correlation between received_rows and accepted_rows.”
Dataset group quality monitoring
“I've got ingestion batch records from two dataset groups over the last 45 days — can you run a trailing mean series on received_rows with window size 10 and a correlation analysis between received_rows and accepted_rows to help me spot any quality issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need both a smoothed trailing mean time series and a correlation analysis between received_rows and accepted_rows in a single low-cost call. Ideal for ETL monitoring, pipeline QA, and batch throughput reporting where no external data lookup or live prediction is needed — just local statistical analysis on your supplied data.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Window size larger than number of submitted rows — trailing mean may have limited output
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, received_rows, accepted_rows) — request rejected
- Null values in numeric fields may affect correlation computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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