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Data Ingestion Batches — Numeric Interval Filter + Trailing Mean Series
x402
Data Ingestion Batches — Numeric Interval Filter + 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 2026-10-21).
Applies a numeric interval filter and computes a trailing mean series on received_rows or accepted_rows fields from supplied data ingestion batch records (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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 derived from the supplied batch records: (1) rows filtered to the specified numeric interval [minimum, maximum] on the chosen field, and (2) a trailing mean series computed over the specified window size for the same field — both operating on up to 200 input rows with no external lookups.
Example use cases
Pipeline acceptance rate trend analysis
“Here are 50 daily ingestion batch records — filter accepted_rows between 10 and 300, then give me a trailing mean series with a window of 5 so I can see how our acceptance rate is trending.”
Anomaly-free received_rows rolling average
“I want to exclude extreme outliers in received_rows (keep only values between 100 and 5000) and compute a rolling 7-day mean across these 80 ingestion batch rows — can you run that analysis?”
Dataset group throughput smoothing
“Take these 120 data ingestion batch records for dataset group 'prod-pipeline', filter received_rows between 500 and 50000, and show me the trailing mean with a window of 4 to smooth out the noise.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular data ingestion batch records (received_rows / accepted_rows) and need both a range-filtered view and a smoothed trailing mean series in a single low-cost call. It is ideal for lightweight, offline analytical tasks on datasets up to 200 rows where no live data lookup, prediction, or external integration is required. Prefer it over general-purpose analytics tools when the input is already structured ingestion batch data and you need two complementary statistical views returned together.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Field value not 'received_rows' or 'accepted_rows' — validation error
- Window size outside 2–200 range — validation error
- Minimum greater than maximum — may yield empty filtered set
- Null numeric values in key fields — may reduce effective row count in computations
- Missing required row fields (row_id, date, dataset_group) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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