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Brand Mention Inventories — Adjacent Row Changes + Keyed Dataset Comparison
x402
Brand Mention Inventories — Adjacent Row Changes + 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 2026-10-16).
Runs two local analytical reports on brand mention inventory data: adjacent row change detection and keyed dataset comparison, covering up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison for supplied brand mention inventories records (mention_count, source_count). 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 independent analytical reports: (1) an adjacent row change report showing how mention_count or source_count shifts between consecutive rows, and (2) a keyed dataset comparison report showing differences between the primary and reference datasets matched by row_id and company_group. No external data is fetched; all analysis is performed locally on the supplied rows.
Example use cases
Weekly brand mention volume audit
“I have last week's and this week's brand mention inventory — both about 50 rows each with row_id, company_group, date, mention_count, and source_count. Run adjacent row changes and a keyed comparison on mention_count so I can see what shifted between the two snapshots.”
Source count drift detection across campaigns
“Compare these two batches of brand mention data on the source_count field — I want to see the row-by-row changes and a keyed diff between dataset A and dataset B to find which company groups gained or lost sources.”
Month-over-month brand monitoring snapshot diff
“I've got two brand mention inventories from September and October 2026, each with about 100 rows. Run the adjacent row change report and the keyed dataset comparison on mention_count to show me which rows changed and how the two months differ.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data and need both row-over-row change detection and a keyed diff between two datasets in a single API call. It is ideal for offline or batch analytics workflows where no live data lookup is needed and you want deterministic, reproducible results on up to 200 rows at minimal cost.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, company_group, date, mention_count, source_count) causes validation error
- Invalid date format (non-YYYY-MM-DD) causes schema rejection
- Null values in the selected metric field may produce incomplete change calculations
- Mismatched row_ids between primary and reference datasets may reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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