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Video Delivery Record Quality Audit + String Normalisation + Trailing Mean Series
x402
Video Delivery Record Quality Audit + String Normalisation + 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 2026-10-25).
Runs three local analytical reports on video delivery records (frame_count, file_mb): a data quality audit, string normalisation, and a trailing mean time series — all in a single $0.01 USDC call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Video delivery — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied video delivery records (frame_count, file_mb). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the supplied video delivery rows: (1) a record quality audit flagging missing, null, or out-of-range values in frame_count and file_mb; (2) a string normalisation report for asset_group and other string fields; and (3) a trailing (rolling) mean time series for the selected numeric field (frame_count or file_mb) computed over the specified window size. All computed locally with no external lookups.
Example use cases
Video asset data quality check
“I have 120 rows of video delivery records with frame counts and file sizes — can you audit them for data quality issues, normalise the asset_group strings, and compute a trailing mean of frame_count with a window of 4?”
Rolling file size trend for media pipeline
“Run a trailing mean series on file_mb with a window of 5 for my 80 video delivery records, and also give me the quality audit and string normalisation reports in the same call.”
Batch normalisation before reporting
“Before I generate my weekly video delivery report, can you normalise the asset group labels and check record quality across my 200 rows, and also give me a trailing mean of frame_count over a 7-day window?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-16-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations on video delivery tabular data — quality audit, string normalisation, and trailing mean — in a single cheap call without any external API lookups or predictions. Ideal for batch preprocessing pipelines where you want offline, deterministic analytics on up to 200 rows of frame_count/file_mb records for $0.01 USDC.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, asset_group, frame_count, file_mb) causes row-level rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Window size outside 2–200 range is rejected
- Payment not included or insufficient USDC causes HTTP 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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