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Brand Mention Inventories — Daily Sum Series + Keyed Dataset Comparison
x402
Brand Mention Inventories — Daily Sum Series + 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).
Computes a daily sum time series and a keyed dataset comparison for up to 200 brand mention inventory rows (mention_count, source_count) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Daily sum series + Keyed dataset comparison: Daily sum series + 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) a daily sum series aggregating the selected field (mention_count or source_count) by date across all rows, and (2) a keyed dataset comparison highlighting differences between the primary and secondary (other) datasets matched by row key — all computed locally without external lookups.
Example use cases
Daily mention volume trend for competitor groups
“I've got brand mention records for group-a and group-b across October — each row has a date, mention_count, and source_count. Can you compute the daily sum series for mention_count so I can see how total mentions trend day by day?”
Comparing two campaign periods side by side
“I have two batches of brand mention data — one from our Q3 campaign and one from Q4 — both keyed by row_id, company_group, and date. Run a keyed dataset comparison on mention_count so I can see where the numbers diverged between the two periods.”
Source coverage audit across brand groups
“Can you take my brand mention inventory data for source_count, run both a daily sum series and a keyed comparison against last month's figures, and tell me where coverage dropped or spiked?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 brand mention inventory records with dates and want both a daily aggregated time series AND a side-by-side keyed comparison between two datasets in a single $0.01 call — particularly when no live data lookup, prediction, or external action is needed and all computation is performed on supplied data.
Side effects
- Missing required fields (row_id, company_group, date, mention_count, source_count) returns validation error
- More than 200 rows in either dataset triggers a maxItems constraint error
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Payment of 0.01 USDC not attached causes 402 Payment Required response
- Empty rows array (minItems:1 violation) rejected at input validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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