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Video Delivery String Normalisation and Keyed Dataset Comparison
x402
Video Delivery String Normalisation and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Normalises string fields and performs keyed dataset comparison on two sets of video delivery records (frame_count, file_mb), producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Video delivery — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied video delivery records (frame_count, file_mb). 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
Two analytical reports: one covering string normalisation results for the supplied video delivery rows (cleaned/standardised field values), and one covering keyed dataset comparison results highlighting differences between the two input arrays matched by row_id, covering frame_count and file_mb fields across up to 200 rows each.
Example use cases
Spot frame count discrepancies across delivery batches
“I have two exports of our video delivery logs from the same period — both have row_id, asset_group, date, frame_count, and file_mb — can you normalise the strings and compare them side by side so I can see which rows have different frame counts or file sizes?”
Audit asset group naming consistency in video records
“Our video delivery pipeline sometimes produces inconsistent asset_group labels. Can you run string normalisation on this batch of up to 150 video delivery rows and also compare it against a reference dataset so I can spot naming and value mismatches?”
QA check before video asset archive
“Before we archive these video delivery records, I want to normalise all the string fields and do a keyed comparison between this week's export and last week's — rows have row_id, date, asset_group, frame_count, and file_mb — and get two reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-16-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured sets of video delivery records (with frame_count and file_mb fields) and need both string normalisation and a keyed row-level comparison in a single low-cost call. It is ideal for data QA workflows, pipeline audits, or pre-archive checks on video asset batches of up to 200 rows where no live data lookup or external action is required.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, asset_group, date, frame_count, file_mb) in any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Payment not included or insufficient — 402 Payment Required
- Numeric values outside allowed range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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