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Advertising Performance – Date by Category Pivot
x402
Advertising Performance – Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Pivots advertising performance data (clicks or spend) by date and campaign category, returning a cross-tabulated summary table for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Advertising performance - Date by category pivot: Date by category pivot for Advertising performance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded date by category pivot deliverable.
Output
A cross-tabulated pivot table where rows represent dates and columns represent campaign categories, with each cell containing the aggregated value (clicks or spend) for that date-campaign combination, derived entirely from the supplied input records.
Example use cases
Daily campaign click comparison
“I have a week's worth of ad data across three campaigns — can you pivot it by date and campaign so I can see clicks side-by-side per day? The field I care about is clicks.”
Daily spend breakdown by ad group
“Take my advertising rows — each has a date, campaign name, and spend amount — and give me a date-by-campaign pivot on spend so I can see which groups are burning the most budget each day.”
Monthly campaign performance summary
“I've got 180 rows of daily ad performance data for October across five campaigns. Can you cross-tabulate them by date and campaign using clicks as the measure so I can spot trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-ad-performance-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local date-by-campaign cross-tab of advertising data without external enrichment or forecasting — especially when you have up to 200 pre-collected ad records and want a structured pivot on either clicks or spend at minimal cost ($0.01 USDC per call).
Side effects
- Missing required fields (row_id, campaign, date, clicks, spend) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows in the input array exceeds the maximum and is rejected
- Invalid field enum value (anything other than 'clicks' or 'spend') causes a schema error
- Empty rows array (minItems: 1 violation) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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