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Video Engagement Deduplication and Base-100 Series Analyzer
x402
Video Engagement Deduplication and Base-100 Series Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Deduplicates video engagement rows and computes Base-100 indexed series for view_count or watch_minutes across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Video engagement — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied video engagement records (view_count, watch_minutes). 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 reports: (1) an exact-row deduplication report identifying and removing duplicate engagement records from the supplied dataset, and (2) a Base-100 indexed series for the chosen metric (view_count or watch_minutes), rebased to 100 at the specified base_index row, covering up to 200 supplied rows.
Example use cases
Channel performance trend indexing
“I have weekly view_count data across two channel groups — can you remove any duplicate rows and then build a Base-100 series starting from the first row so I can compare growth over time?”
Watch minutes deduplication audit
“Can you clean up these 120 video engagement records by deduplicating exact rows, and also give me a Base-100 normalized series for watch_minutes starting at index 0?”
Multi-channel engagement data prep
“Before I run my report, I need to deduplicate these video engagement rows and get a base-100 indexed series for view_count — there are about 80 rows with channel_group, date, view_count, and watch_minutes fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-10-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 video engagement rows with view_count and/or watch_minutes and need both exact duplicate removal and a Base-100 normalized time series in a single low-cost call. Ideal for pre-processing video analytics data before reporting or visualization, especially when no live lookup or external data enrichment is needed.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — rejected due to maxItems constraint
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- base_index out of range (0–199) — rejected
- Missing required fields (row_id, channel_group, date) — schema validation error
- Null or out-of-range numeric values for view_count or watch_minutes may produce incomplete series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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