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File Ingestion Trailing Mean Series
x402
File Ingestion 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 2026-10-19).
Computes a trailing (rolling) mean series over loaded_bytes or parse_errors for up to 200 file ingestion records, returning local descriptive analytics with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - Trailing mean series: Trailing mean series for File ingestion. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded trailing mean series report.
Output
A trailing mean series report containing rolling average values for the selected field (loaded_bytes or parse_errors) computed over the specified window size across the supplied records. Output is bounded descriptive analytics with no external enrichment or forecasting — one report per call.
Example use cases
Smoothing daily file load volumes
“I have 30 days of file ingestion records with daily loaded_bytes per source. Can you run a trailing mean with a window of 7 so I can see the smoothed weekly trend in how many bytes we're loading each day?”
Monitoring parse error trends
“We've been tracking parse_errors across our ingestion pipeline for the last 60 records. Run a rolling average with a window of 5 on the parse_errors field so I can spot whether errors are trending up or down.”
Comparing ingestion performance across sources
“Here are 100 ingestion records split between source group-a and group-b with loaded_bytes per row. Compute a trailing mean series using a window of 10 on loaded_bytes so I can compare the smoothed throughput between the two groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 file ingestion records and need a simple, local trailing mean computation on loaded_bytes or parse_errors without any external data enrichment, forecasting, or third-party lookups. It is ideal for lightweight pipeline monitoring, smoothing noisy ingestion metrics, or producing a rolling average time series report at minimal cost ($0.01 USDC per call).
Side effects
- Fewer than 1 row supplied — minimum 1 record required
- More than 200 rows supplied — maximum limit exceeded
- Window size larger than the number of supplied rows — insufficient data points for the specified window
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, source, date, loaded_bytes, parse_errors) on any row
- Field value not one of the allowed enum values (loaded_bytes, parse_errors)
- Null numeric values where computation is expected — may produce NaN or skipped averages
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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